Police called after 3-year-old scores 10 goals in 12 minutes at Florida youth soccer game

Israel polls: Highest early turnout since 1973; Netanyahu’s Likud alleges fraud, ‘attempt to steal’ election

'Shove that ballroom up your a**': Trump heckled at Mississippi rally over White House ballroom renovations | WATCH

India invites Pakistan, along with other SCO member countries for SCO Civilisational Dialogue in Delhi

Mitchell Starc leads Australia’s fightback with six-wicket haul on day 1 of Cape Town Test

'Already tired of his 9-to-5': Baby born with a moustache becomes internet sensation, video goes viral | Watch

Supreme Court seeks Centre's response to DNPA's challenge to DPDP Act

Hijack scare unfolds on United flight over suspicious text message. Here is what happened

'I've done my work sincerely': AR Rahman on facing backlash over Ramayana soundtrack

Russia, Iran eye joint oil and gas projects as Pezeshkian, Putin hold talks in Moscow

Uganda arrests its 'worst serial killer and cannibal' who hacked 38 people to death

New OTT releases this week (October 26-November 1, 2026): Baththa, Akka, The One About Matthew Perry- 7 titles coming on Netflix, Prime Video and more

'Hell of a beautiful a**': Trump compliments Nicki Minaj as rapper joins him in Michigan rally

'You Still Can't...': Yuvraj mocks Abhishek Sharma after 35-ball 100 in 3rd T20I vs New Zealand

'This is America. Back up': Shouting match breaks out between US and Cuban officials at UN | WATCH

'Hire the robot, fire the human': Bill Gates's words hint at a bleak future

Israel elections: Record voter turnout in decades as Opposition edges ahead of Netanyahu in early projections

Israel elections 2026: What happens if Netanyahu loses | Gravitas

Storm Boelo’s fierce winds push passenger plane onto grass in UK, terrifying landing caught on cam

52 years later, DNA evidence links serial killer Ted Bundy to 1974 murder of 17-year-old

India and US defence ministers set for bilateral talks in Philippines

'He is a red flag': Ex-India strength and conditioning coach on Rohit's fitness regime

'Complete lack of confidence' in Netanyahu, says Eisenkot after Opposition leads in exit polls; Arab parties make gains

Trump accused of 'brutal' rape by ex-Miss Switzerland; Beatrice Keul alleges 'Don's best friend' Epstein facilitated assault in 1993

Maurene Comey, daughter of ex-FBI director James Comey, was unlawfully fired as federal prosecutor, judge rules

Democrats allege 'desperate efforts to cover up' Trump's involvement in Jeffrey Epstein sex crimes, release 50-page report

Brazil's Flavio Bolsonaro flees to US after presidential election defeat to Lula

'She is a beautiful woman': Trump mocks Mexican President Sheinbaum, mimics her voice at US Midterms rally

‘After Breaking Bad, Prison Break has begun in Tamil Nadu’: Stalin turns sarcastic in slamming Vijay govt over Theni jailbreak

‘Food poisoned by meat’: Trump mocks James Talarico over campaign absence, as former Texas Chief Justice endorses Democrat

Trump says he will accept midterm results ‘if they’re honest’, refers to his veto powers

US midterms 2026: Democrat Annie Andrews gains bipartisan backing against Trump's pick Darline Graham in South Carolina Senate race

Shah Rukh Khan unveils new poster of King, Internet reacts

France protests: Demonstrators may pay up to €10,000 for riot damage under new bill

Delhi traders urge Rahul Gandhi to postpone INDIA bloc rally once again

<p>Google is making a major change to Gemini model access from October 9, 2026, with different AI subscription plans set to determine which models users can access. The biggest change affects free users and Google AI Plus subscribers, who will have more limited access to Google's most capable Gemini models.</p><p>&nbsp;</p><p>Under the new system, people using Gemini with a personal Google account and no AI subscription will get access to Google's Flash-Lite models. Meanwhile, AI Plus users will continue to have Flash-Lite and Flash models but will no longer get access to Gemini Pro.</p><h2><strong>What happens to Gemini Free users?</strong></h2><p>Free Gemini users will see the clearest restriction. From October 9, Google says they will have access to the smaller Flash-Lite models rather than the broader range of models available through paid plans. For users who mainly use Gemini for basic questions, writing and everyday tasks, the change may have limited impact. But people relying on more capable models for demanding work may need to consider a paid subscription.</p><h2><strong>AI Plus users lose Gemini Pro access</strong></h2><p>The change could be more significant for Google AI Plus subscribers. In India, AI Plus costs Rs 399 per month. Subscribers will retain access to Flash-Lite and Flash, but Google is removing Pro models from this tier. Users who want Gemini's Pro models will therefore need to move to a more expensive plan. Google AI Pro costs Rs 1,950 per month in India, while Google AI Ultra costs Rs 6,500 per month. Both higher-tier plans will retain access to Flash-Lite, Flash and Pro models.</p><p>&nbsp;</p><p>Google says AI Plus subscribers will receive an email explaining when the new rules will apply to their accounts.</p><p>&nbsp;</p><p>Gemini is also getting 'effort' controls Google is also preparing a new way for users to control how much effort Gemini puts into a task. The upcoming options are expected to include low, medium and high effort. A higher setting is designed to make Gemini spend more resources working on a request, potentially improving responses on complex tasks.</p><p>&nbsp;</p><p>There is a catch: higher effort will consume more of a user's usage limit. The change gives users a simple trade-off. Everyday questions can use lower effort, while difficult research or reasoning tasks can use a higher setting. For Gemini users in India, the key takeaway is straightforward: from October 9, access to Google's most capable models will be increasingly tied to its higher-priced AI plans.</p>

Google is changing Gemini model access from October 9, 2026. Free users will get Flash-Lite, while AI Plus users lose Pro access. AI Pro and Ultra subscribers retain the full model range and will also get new low, medium and high effort controls.

Google is making a major change to Gemini model access from October 9, 2026, with different AI subscription plans set to determine which models users can access. The biggest change affects free users and Google AI Plus subscribers, who will have more limited access to Google's most capable Gemini models. Under the new system, people using Gemini with a personal Google account and no AI subscription will get access to Google's Flash-Lite models. Meanwhile, AI Plus users will continue to have Flash-Lite and Flash models but will no longer get access to Gemini Pro. What happens to Gemini Free users? Free Gemini users will see the clearest restriction. From October 9, Google says they will have access to the smaller Flash-Lite models rather than the broader range of models available through paid plans. For users who mainly use Gemini for basic questions, writing and everyday tasks, the change may have limited impact. But people relying on more capable models for demanding work may need to consider a paid subscription. AI Plus users lose Gemini Pro access The change could be more significant for Google AI Plus subscribers. In India, AI Plus costs Rs 399 per month. Subscribers will retain access to Flash-Lite and Flash, but Google is removing Pro models from this tier. Users who want Gemini's Pro models will therefore need to move to a more expensive plan. Google AI Pro costs Rs 1,950 per month in India, while Google AI Ultra costs Rs 6,500 per month. Both higher-tier plans will retain access to Flash-Lite, Flash and Pro models. Google says AI Plus subscribers will receive an email explaining when the new rules will apply to their accounts. Gemini is also getting 'effort' controls Google is also preparing a new way for users to control how much effort Gemini puts into a task. The upcoming options are expected to include low, medium and high effort. A higher setting is designed to make Gemini spend more resources working on a request, potentially improving responses on complex tasks. There is a catch: higher effort will consume more of a user's usage limit. The change gives users a simple trade-off. Everyday questions can use lower effort, while difficult research or reasoning tasks can use a higher setting. For Gemini users in India, the key takeaway is straightforward: from October 9, access to Google's most capable models will be increasingly tied to its higher-priced AI plans.

<p>Google is changing Gemini model access from October 9, 2026. Free users will get Flash-Lite, while AI Plus users lose Pro access. AI Pro and Ultra subscribers retain the full model range and will also get new low, medium and high effort controls.</p>

Gemini Free users to lose access to powerful models as Google changes AI plans

<p>Deepinder Goyal’s Temple wearable is moving closer to its India launch, with pre-orders potentially opening as early as next week. People who joined the early-access waitlist are expected to get priority. The unusual device is designed to sit on the side of the head and track changes in blood flow linked to the brain using a system called BrainFlow.</p><p>&nbsp;</p><p>Unlike a smartwatch or smart ring, Temple is a small, pill-shaped wearable that attaches to the skin around the temple. The company says it can remain attached during activities including running, showering and swimming, although it does not recommend using it while scuba diving.</p><h2><strong>How does the Temple wearable work?</strong></h2><p>Temple is attached using disposable Grips, essentially adhesive tapes designed to keep the device against the skin. The company says a Grip can last for up to seven days, broadly matching the wearable's claimed battery life. However, Temple recommends replacing the Grip every two to three days, particularly after exposure to sweat or dust. The device is also designed to fit underneath glasses. Its smooth edges are intended to prevent it from catching on clothing. The launch edition is expected to be available in six colours: True Gold, Rose Gold, Black Mirror, Real Jade, Deep Blue and Purple Funk.</p><h2><strong>What does Temple actually measure?</strong></h2><p>Temple uses a PPG (photoplethysmography) sensor, an optical sensing technology also found in smartwatches. The difference is where the sensor is positioned. Instead of measuring from the wrist, Temple places the sensor at the temple. The company says its BrainFlow system continuously tracks changes in cerebral blood-flow-related signals. Goyal says this data could provide insights related to sleep, recovery, exercise and the body's response to stress. However, there is an important distinction: Temple does not directly read brain activity and is not presented as a device that can diagnose health conditions. It uses optical sensing to track blood-flow-related signals rather than the electrical signals measured by an EEG.</p><h2><strong>What do the studies say?</strong></h2><p>Goyal has shared two studies supporting the technology. One involved 23 healthy adults and compared BrainFlow readings with Transcranial Doppler measurements during cycling and changes in posture. Another analysed 60 sessions involving 44 healthy men, comparing BrainFlow with time-domain near-infrared spectroscopy. The results shared by Goyal indicated stronger correlations with changes in brain blood volume than scalp blood volume. However, both studies are preprints and require further research and peer review.</p><h2><strong>Temple price and India launch</strong></h2><p>The final India price has not been confirmed. Goyal has previously indicated a price of around $1,000, or roughly Rs 1 lakh, while earlier reports suggested a figure closer to Rs 80,000.</p><p>&nbsp;</p><p>The expected price is said to include an unlimited supply of disposable Grips. For now, the key date is next week, when pre-orders could open for waitlist users. The exact shipping date remains unconfirmed.</p>

Deepinder Goyal’s Temple wearable could open for pre-orders in India next week, with waitlist users getting priority. The head-mounted device uses BrainFlow to track blood-flow-related signals and could cost around Rs 1 lakh, although the final price is unconfirmed.

Deepinder Goyal’s Temple wearable is moving closer to its India launch, with pre-orders potentially opening as early as next week. People who joined the early-access waitlist are expected to get priority. The unusual device is designed to sit on the side of the head and track changes in blood flow linked to the brain using a system called BrainFlow. Unlike a smartwatch or smart ring, Temple is a small, pill-shaped wearable that attaches to the skin around the temple. The company says it can remain attached during activities including running, showering and swimming, although it does not recommend using it while scuba diving. How does the Temple wearable work? Temple is attached using disposable Grips, essentially adhesive tapes designed to keep the device against the skin. The company says a Grip can last for up to seven days, broadly matching the wearable's claimed battery life. However, Temple recommends replacing the Grip every two to three days, particularly after exposure to sweat or dust. The device is also designed to fit underneath glasses. Its smooth edges are intended to prevent it from catching on clothing. The launch edition is expected to be available in six colours: True Gold, Rose Gold, Black Mirror, Real Jade, Deep Blue and Purple Funk. What does Temple actually measure? Temple uses a PPG (photoplethysmography) sensor, an optical sensing technology also found in smartwatches. The difference is where the sensor is positioned. Instead of measuring from the wrist, Temple places the sensor at the temple. The company says its BrainFlow system continuously tracks changes in cerebral blood-flow-related signals. Goyal says this data could provide insights related to sleep, recovery, exercise and the body's response to stress. However, there is an important distinction: Temple does not directly read brain activity and is not presented as a device that can diagnose health conditions. It uses optical sensing to track blood-flow-related signals rather than the electrical signals measured by an EEG. What do the studies say? Goyal has shared two studies supporting the technology. One involved 23 healthy adults and compared BrainFlow readings with Transcranial Doppler measurements during cycling and changes in posture. Another analysed 60 sessions involving 44 healthy men, comparing BrainFlow with time-domain near-infrared spectroscopy. The results shared by Goyal indicated stronger correlations with changes in brain blood volume than scalp blood volume. However, both studies are preprints and require further research and peer review. Temple price and India launch The final India price has not been confirmed. Goyal has previously indicated a price of around $1,000, or roughly Rs 1 lakh, while earlier reports suggested a figure closer to Rs 80,000. The expected price is said to include an unlimited supply of disposable Grips. For now, the key date is next week, when pre-orders could open for waitlist users. The exact shipping date remains unconfirmed.

<p>Deepinder Goyal’s Temple wearable could open for pre-orders in India next week, with waitlist users getting priority. The head-mounted device uses BrainFlow to track blood-flow-related signals and could cost around Rs 1 lakh, although the final price is unconfirmed.</p>

Deepinder Goyal’s Temple wearable may open pre-orders next week: What it can actually track

<p>Apple is reportedly preparing to expand beyond its upcoming home hub with a much wider range of smart home accessories. According to a fresh Bloomberg report, LG Electronics is developing several devices that could work with Apple’s home hub and other Apple products, including security cameras, a video doorbell, thermostat and smart lock.</p><p>&nbsp;</p><p>The reported partnership could give Apple a broader presence inside the home without requiring the company to manufacture every new accessory itself. LG is said to be handling much of the manufacturing and product support, while Apple could influence the design, features and engineering of the products.</p><h2><strong>Apple and LG reportedly developing seven devices</strong></h2><p>The reported range is extensive. According to Bloomberg, LG is developing a wired video doorbell, thermostat, smart deadbolt lock, temperature sensor, indoor security camera, outdoor security camera and floodlight camera. The devices reportedly appeared in documents submitted by LG to the US Federal Communications Commission (FCC) and UL Solutions. Apple is not named in those filings, and LG has reportedly requested confidentiality for some information. That means the reported Apple connection has not been formally confirmed through the regulatory documents themselves.</p><h2><strong>Smart home devices could work with Apple’s ecosystem</strong></h2><p>Several of the reported LG devices are said to support connectivity technologies including Wi-Fi, Bluetooth, Thread and Matter. The smart lock could be particularly interesting for Apple users. It is reportedly equipped with Ultra Wideband (UWB), a technology that could support proximity-based features such as automatically unlocking the door when a compatible device is nearby. If these products eventually launch as part of Apple's ecosystem, they could give users a more connected experience across security, climate control and home access.</p><h2><strong>Apple’s home push could grow beyond the hub</strong></h2><p>Apple is expected to unveil several home-focused products on October 13, including its rumoured home hub, a new Apple TV 4K and an updated HomePod mini. However, consumers may have to wait longer for the reported LG-made accessories. Bloomberg says the products are not expected to become available for several months.</p><p>&nbsp;</p><p>The reported partnership would also represent an interesting expansion for LG. The company is already a major player in televisions, appliances and consumer electronics, but products such as smart locks and security cameras would take it deeper into the connected-home accessories market. For Apple, meanwhile, the strategy could help build a more complete smart home ecosystem around its existing devices without taking on the entire manufacturing and support burden itself.</p>

Apple is reportedly working with LG Electronics on a new smart home range that could include cameras, a video doorbell, thermostat, temperature sensor and smart lock. The products may work with Apple’s upcoming home hub and could arrive several months after its launch.

Apple is reportedly preparing to expand beyond its upcoming home hub with a much wider range of smart home accessories. According to a fresh Bloomberg report, LG Electronics is developing several devices that could work with Apple’s home hub and other Apple products, including security cameras, a video doorbell, thermostat and smart lock. The reported partnership could give Apple a broader presence inside the home without requiring the company to manufacture every new accessory itself. LG is said to be handling much of the manufacturing and product support, while Apple could influence the design, features and engineering of the products. Apple and LG reportedly developing seven devices The reported range is extensive. According to Bloomberg, LG is developing a wired video doorbell, thermostat, smart deadbolt lock, temperature sensor, indoor security camera, outdoor security camera and floodlight camera. The devices reportedly appeared in documents submitted by LG to the US Federal Communications Commission (FCC) and UL Solutions. Apple is not named in those filings, and LG has reportedly requested confidentiality for some information. That means the reported Apple connection has not been formally confirmed through the regulatory documents themselves. Smart home devices could work with Apple’s ecosystem Several of the reported LG devices are said to support connectivity technologies including Wi-Fi, Bluetooth, Thread and Matter. The smart lock could be particularly interesting for Apple users. It is reportedly equipped with Ultra Wideband (UWB), a technology that could support proximity-based features such as automatically unlocking the door when a compatible device is nearby. If these products eventually launch as part of Apple's ecosystem, they could give users a more connected experience across security, climate control and home access. Apple’s home push could grow beyond the hub Apple is expected to unveil several home-focused products on October 13, including its rumoured home hub, a new Apple TV 4K and an updated HomePod mini. However, consumers may have to wait longer for the reported LG-made accessories. Bloomberg says the products are not expected to become available for several months. The reported partnership would also represent an interesting expansion for LG. The company is already a major player in televisions, appliances and consumer electronics, but products such as smart locks and security cameras would take it deeper into the connected-home accessories market. For Apple, meanwhile, the strategy could help build a more complete smart home ecosystem around its existing devices without taking on the entire manufacturing and support burden itself.

<p>Apple is reportedly working with LG Electronics on a new smart home range that could include cameras, a video doorbell, thermostat, temperature sensor and smart lock. The products may work with Apple’s upcoming home hub and could arrive several months after its launch.</p>

Apple could soon have a much bigger smart home ecosystem with LG partnership

<p>Google has only recently launched its Pixel 11 series, but early details about its successor are already emerging. A new report claims that four Pixel 12 models have appeared in the GSMA IMEI database, while their display resolutions have also reportedly been revealed. The phones are expected to arrive in 2027, with the Pixel 12 Pro Fold potentially receiving the biggest display upgrade. The reported lineup includes the Pixel 12, Pixel 12 Pro, Pixel 12 Pro XL and Pixel 12 Pro Fold. The same leak also claims Google is already testing the upcoming phones with Android 18, suggesting that the company is working on hardware and software well ahead of the expected launch.</p><h2><strong>Pixel 12 series model numbers reportedly revealed</strong></h2><p>According to a report by OVR Plus, the four devices have appeared in the GSMA IMEI database with different model numbers. The standard Pixel 12 is reportedly listed as GC0QU, while the Pixel 12 Pro could carry model number GWU59. The larger Pixel 12 Pro XL is said to have the model number G7U1Y. The alleged Pixel 12 Pro Fold model number is G4D5D. These details should be treated as early leak information rather than confirmed specifications from Google.</p><h2><strong>Pixel 12 display resolutions tipped</strong></h2><p>The leak also claims that all four Pixel 12 models could receive different display resolutions. The regular Pixel 12 is reportedly being tested with a 1080 x 2400-pixel panel. The Pixel 12 Pro could move to 1280 x 2824 pixels, while the Pixel 12 Pro XL is tipped to feature a 1344 x 2952-pixel display. The biggest change could come with the foldable model. While the report suggests a more substantial resolution improvement for the Pixel 12 Pro Fold, it does not provide enough confirmed detail to establish exactly how large that upgrade will be.</p><h2><strong>Pixel 12 could arrive with Android 18</strong></h2><p>The report further claims that Google is already testing the Pixel 12 lineup with Android 18. That would fit with Google's usual approach of developing its hardware and software together. Testing an upcoming Android version on future hardware can help the company optimise the operating system for new devices before launch. The Pixel 12 series is expected to arrive sometime in 2027, with August reportedly being the target timeframe. However, Google has not officially confirmed the lineup, specifications or launch date. For now, the Pixel 12 leak offers an early glimpse of what Google could be planning, but more reliable information is likely to emerge as development progresses.</p>

Google’s Pixel 12 series could include four models, with leaked details pointing to new display resolutions and Android 18 testing. The Pixel 12 Pro Fold may receive the biggest display upgrade, while the range is expected to launch in 2027.

Google has only recently launched its Pixel 11 series, but early details about its successor are already emerging. A new report claims that four Pixel 12 models have appeared in the GSMA IMEI database, while their display resolutions have also reportedly been revealed. The phones are expected to arrive in 2027, with the Pixel 12 Pro Fold potentially receiving the biggest display upgrade. The reported lineup includes the Pixel 12, Pixel 12 Pro, Pixel 12 Pro XL and Pixel 12 Pro Fold. The same leak also claims Google is already testing the upcoming phones with Android 18, suggesting that the company is working on hardware and software well ahead of the expected launch. Pixel 12 series model numbers reportedly revealed According to a report by OVR Plus, the four devices have appeared in the GSMA IMEI database with different model numbers. The standard Pixel 12 is reportedly listed as GC0QU, while the Pixel 12 Pro could carry model number GWU59. The larger Pixel 12 Pro XL is said to have the model number G7U1Y. The alleged Pixel 12 Pro Fold model number is G4D5D. These details should be treated as early leak information rather than confirmed specifications from Google. Pixel 12 display resolutions tipped The leak also claims that all four Pixel 12 models could receive different display resolutions. The regular Pixel 12 is reportedly being tested with a 1080 x 2400-pixel panel. The Pixel 12 Pro could move to 1280 x 2824 pixels, while the Pixel 12 Pro XL is tipped to feature a 1344 x 2952-pixel display. The biggest change could come with the foldable model. While the report suggests a more substantial resolution improvement for the Pixel 12 Pro Fold, it does not provide enough confirmed detail to establish exactly how large that upgrade will be. Pixel 12 could arrive with Android 18 The report further claims that Google is already testing the Pixel 12 lineup with Android 18. That would fit with Google's usual approach of developing its hardware and software together. Testing an upcoming Android version on future hardware can help the company optimise the operating system for new devices before launch. The Pixel 12 series is expected to arrive sometime in 2027, with August reportedly being the target timeframe. However, Google has not officially confirmed the lineup, specifications or launch date. For now, the Pixel 12 leak offers an early glimpse of what Google could be planning, but more reliable information is likely to emerge as development progresses.

<p>Google’s Pixel 12 series could include four models, with leaked details pointing to new display resolutions and Android 18 testing. The Pixel 12 Pro Fold may receive the biggest display upgrade, while the range is expected to launch in 2027.</p>

Google Pixel 12 Series could launch with Android 18 and new display upgrades: report

<p>GTA 6 will not be available to stream on PC when it launches, Xbox Chief Strategy Officer Matthew Ball has clarified. His comments come amid reports that Microsoft had secured exclusive cloud streaming rights for Rockstar Games’ highly anticipated title, creating confusion among fans waiting to find out how they will be able to play the game.</p><p>&nbsp;</p><p>Ball addressed the reports on X, saying some of the information circulating about GTA 6 and Xbox was incorrect. “While the excitement for GTA VI and Xbox is great to see, it has also led to some misreporting,” Ball said. He added that Xbox is looking forward to launching GTA 6 on November 19, but said the game “will not be streaming exclusively or to PC”.</p><h2><strong>GTA 6 cloud streaming report sparks confusion</strong></h2><p>The clarification follows a report from The Verge suggesting that Xbox had secured exclusive cloud streaming rights for GTA 6 at launch. Such an arrangement could have allowed players without an Xbox console to access the game through Microsoft's cloud gaming services on devices such as PCs. Ball's statement appears to rule out that possibility at launch. It also means PC players should not assume that Xbox Cloud Gaming will provide an alternative way to play GTA 6 when the game arrives.</p><h2><strong>What does this mean for Xbox players?</strong></h2><p>GTA 6 is scheduled to launch on PlayStation 5 and Xbox Series X|S on November 19. Microsoft has also reportedly been exploring changes to its cloud gaming model, including possible pay-as-you-go options for users who want to purchase access to cloud streaming for specific periods. However, those reported changes should not be interpreted as confirmation that GTA 6 will be available through Xbox Cloud Gaming on PC at launch.</p><p>&nbsp;</p><h2><strong>What about GTA 6 on PC?</strong></h2><p>For PC players, the situation remains unclear. Ball's comments specifically address streaming and do not provide details about a native PC version of GTA 6. For now, Rockstar Games has only announced the game for PlayStation 5 and Xbox Series X|S. PC players will have to wait for further information from Rockstar or Xbox about a native PC release or future cloud streaming support. With GTA 6 among the most anticipated games in years, even small changes or clarifications around its launch plans are likely to attract major attention from players.</p>

GTA 6 will not be available for PC streaming at launch, Xbox Chief Strategy Officer Matthew Ball has clarified. His comments push back on reports of exclusive Xbox cloud rights, while Rockstar has yet to announce a PC version.

GTA 6 will not be available to stream on PC when it launches, Xbox Chief Strategy Officer Matthew Ball has clarified. His comments come amid reports that Microsoft had secured exclusive cloud streaming rights for Rockstar Games’ highly anticipated title, creating confusion among fans waiting to find out how they will be able to play the game. Ball addressed the reports on X, saying some of the information circulating about GTA 6 and Xbox was incorrect. “While the excitement for GTA VI and Xbox is great to see, it has also led to some misreporting,” Ball said. He added that Xbox is looking forward to launching GTA 6 on November 19, but said the game “will not be streaming exclusively or to PC”. GTA 6 cloud streaming report sparks confusion The clarification follows a report from The Verge suggesting that Xbox had secured exclusive cloud streaming rights for GTA 6 at launch. Such an arrangement could have allowed players without an Xbox console to access the game through Microsoft's cloud gaming services on devices such as PCs. Ball's statement appears to rule out that possibility at launch. It also means PC players should not assume that Xbox Cloud Gaming will provide an alternative way to play GTA 6 when the game arrives. What does this mean for Xbox players? GTA 6 is scheduled to launch on PlayStation 5 and Xbox Series X|S on November 19. Microsoft has also reportedly been exploring changes to its cloud gaming model, including possible pay-as-you-go options for users who want to purchase access to cloud streaming for specific periods. However, those reported changes should not be interpreted as confirmation that GTA 6 will be available through Xbox Cloud Gaming on PC at launch. What about GTA 6 on PC? For PC players, the situation remains unclear. Ball's comments specifically address streaming and do not provide details about a native PC version of GTA 6. For now, Rockstar Games has only announced the game for PlayStation 5 and Xbox Series X|S. PC players will have to wait for further information from Rockstar or Xbox about a native PC release or future cloud streaming support. With GTA 6 among the most anticipated games in years, even small changes or clarifications around its launch plans are likely to attract major attention from players.

<p>GTA 6 will not be available for PC streaming at launch, Xbox Chief Strategy Officer Matthew Ball has clarified. His comments push back on reports of exclusive Xbox cloud rights, while Rockstar has yet to announce a PC version.</p>

Can you play GTA 6 on PC via Xbox Cloud at launch?

<p>&nbsp;</p><p>OpenAI is taking AI agents a step further with Dots, a new type of persistent AI assistant designed to keep working after a user leaves a ChatGPT conversation. Powered by GPT-6 Astra, the agents get their own cloud computers and can connect to more than 4,000 apps through OpenAI’s plugin ecosystem.</p><p>&nbsp;</p><p>Unlike a normal chatbot that waits for the next question, Dots are designed to take responsibility for an ongoing task. They can monitor projects, perform background work, use connected software and alert users when a decision needs human input.</p><h2><strong>What makes OpenAI Dots different?</strong></h2><p>The biggest change is persistence. A traditional AI interaction usually ends when the answer is delivered. OpenAI wants Dots to work more like a digital employee that remembers its assignment and continues working. The company gives examples such as keeping sales proposals updated, processing interviews into content, monitoring software feedback and maintaining launch materials as a product changes. Dots can also run several tasks in parallel and continue working even when the user's own computer is switched off. Each Dot runs on OpenAI-managed cloud infrastructure with its own persistent environment. That means browser sessions, files and software can remain available between periods of work.</p><p>&nbsp;</p><h2><strong>OpenAI Dots vs Claude Cowork and Meta Muse</strong></h2><p>OpenAI is entering a rapidly expanding AI-agent market. Anthropic's Claude Cowork is also designed to handle multi-step knowledge work, while Meta Muse can perform tasks from its own cloud environment. The competition is therefore shifting from simply asking which AI model gives the best answer to asking which AI agent users are willing to trust with an ongoing responsibility. That could also create a new advantage for AI companies: switching costs. Once an agent has accumulated context about a business and become connected to its software, moving to another system could become considerably harder.</p><p>&nbsp;</p><h2><strong>The big catch: access, cost and trust</strong></h2><p>Persistent agents need access to data and applications to be useful. That creates security, privacy and governance concerns, particularly when Dots are connected to email, documents, GitHub or enterprise systems. OpenAI has approval mechanisms for sensitive actions, while users can create rules requiring human approval for certain activities. However, the company also warns that agents can make mistakes when following those instructions.</p><p>Dots are currently included with eligible Pro plans, including Pro 100, Pro 200 and Pro 500, subject to availability and rollout restrictions. Those plans cost $100, $200 and $500 per month respectively. Business Premium and Enterprise access are being rolled out separately. For everyday users, Dots may not change much if they only use AI for quick questions, writing or brainstorming. But for people with recurring work that needs monitoring, research or repeated action, OpenAI's approach could mark a much bigger shift: AI that does not simply answer a task, but stays on the job.</p>

OpenAI’s Dots are persistent AI agents designed to keep working after users leave ChatGPT. They can monitor projects, use connected apps and run background tasks, turning AI from a chatbot into a digital worker while raising fresh questions about cost, privacy and control.

OpenAI is taking AI agents a step further with Dots, a new type of persistent AI assistant designed to keep working after a user leaves a ChatGPT conversation. Powered by GPT-6 Astra, the agents get their own cloud computers and can connect to more than 4,000 apps through OpenAI’s plugin ecosystem. Unlike a normal chatbot that waits for the next question, Dots are designed to take responsibility for an ongoing task. They can monitor projects, perform background work, use connected software and alert users when a decision needs human input. What makes OpenAI Dots different? The biggest change is persistence. A traditional AI interaction usually ends when the answer is delivered. OpenAI wants Dots to work more like a digital employee that remembers its assignment and continues working. The company gives examples such as keeping sales proposals updated, processing interviews into content, monitoring software feedback and maintaining launch materials as a product changes. Dots can also run several tasks in parallel and continue working even when the user's own computer is switched off. Each Dot runs on OpenAI-managed cloud infrastructure with its own persistent environment. That means browser sessions, files and software can remain available between periods of work. OpenAI Dots vs Claude Cowork and Meta Muse OpenAI is entering a rapidly expanding AI-agent market. Anthropic's Claude Cowork is also designed to handle multi-step knowledge work, while Meta Muse can perform tasks from its own cloud environment. The competition is therefore shifting from simply asking which AI model gives the best answer to asking which AI agent users are willing to trust with an ongoing responsibility. That could also create a new advantage for AI companies: switching costs. Once an agent has accumulated context about a business and become connected to its software, moving to another system could become considerably harder. The big catch: access, cost and trust Persistent agents need access to data and applications to be useful. That creates security, privacy and governance concerns, particularly when Dots are connected to email, documents, GitHub or enterprise systems. OpenAI has approval mechanisms for sensitive actions, while users can create rules requiring human approval for certain activities. However, the company also warns that agents can make mistakes when following those instructions. Dots are currently included with eligible Pro plans, including Pro 100, Pro 200 and Pro 500, subject to availability and rollout restrictions. Those plans cost $100, $200 and $500 per month respectively. Business Premium and Enterprise access are being rolled out separately. For everyday users, Dots may not change much if they only use AI for quick questions, writing or brainstorming. But for people with recurring work that needs monitoring, research or repeated action, OpenAI's approach could mark a much bigger shift: AI that does not simply answer a task, but stays on the job.

<p>OpenAI’s Dots are persistent AI agents designed to keep working after users leave ChatGPT. They can monitor projects, use connected apps and run background tasks, turning AI from a chatbot into a digital worker while raising fresh questions about cost, privacy and control.</p>

OpenAI’s new Dots can keep working while you sleep: Here’s how they differ from ChatGPT

<p>In a global economy defined by rapid technological disruption, demographic shifts, and declining birth rates, countries can no longer rely solely on legacy industries or labour arbitrage to sustain long-term growth. It is heavily driven by advancements in artificial intelligence, quantum computing, biotechnology, and clean energy. Winning nations require a continuous stream of specialised researchers, engineers, and developers to pioneer these fields.</p><p>&nbsp;</p><p>However, beyond creating the pathway for technology growth, countries need to focus on the skills and training of the young generation to adopt and integrate these advanced tools to channelised it as per the requirements. As artificial intelligence, automation and digital platforms reshape every sector, the question facing governments and businesses is no longer limited to whether a skills gap exists, but how deep it runs and how quickly it can be closed. Nations with answers will shape the next phase of global growth; those that do not risk being left behind.<br>&nbsp;</p><p>The challenge is widening because the target keeps moving. Each wave of technology rewrites what employers mean by "skilled", and AI has sharply accelerated that rewriting. Degree-led pathways and one-off training programmes, designed for a more stable job market, are struggling to keep up. For India, with its young workforce and ambitions of becoming a leading global economy, the stakes are particularly high.</p><p>&nbsp;</p><p>According to Arindam Ghosh, Head, India and South Asia, IMA (Institute of Management Accountants), the conversation must shift from whether talent has a skill to how well it can apply it. “The skills gap is no longer simply about whether talent has a particular skill; it is about the depth and application of that skill. Our research with AIHR highlights that capability progresses from Foundational to Proficient and Expert levels, and organisations need to understand where their talent actually stands. This is particularly important, as more than 87% of companies globally are facing, or expect to face, skills gaps. Our analysis of 2.97 million job postings also shows that future-ready talent needs both technical depth and strategic capabilities. For nations seeking sustainable economic growth, building a strong talent pipeline therefore means moving beyond generic training towards targeted, role-specific development that enables people to apply skills independently and lead innovation, ”Ghosh said.</p><p>&nbsp;</p><p>That distinction matters for employers. Counting certifications or training hours reveals little about whether someone can perform at the level a role demands. Mapping capability across progressive levels lets organisations see where talent truly stands, invest where gaps are real, and avoid spending on training that changes nothing.</p><p>&nbsp;</p><p><strong>Also read: </strong><a href="https://www.wionews.com/world/are-indians-voting-with-their-feet-skilled-labour-emigration-grows-but-no-one-s-crying-brain-drain-1791357040670">Are Indians 'voting with their feet?' Skilled labour emigration grows, but no one's crying ‘brain drain’</a></p><h3>Skill changes as technology changes</h3><p>The need to look beyond today's job descriptions is echoed by industry leaders. Phani Tangirala, MD &amp; CEO, Expleo Solutions Limited, says, "Every time technology changes, the definition of "skilled" changes with it. AI is just making that painfully visible. We cannot build tomorrow's workforce by training people for today's jobs. The smarter play, the one we bet on internally, is to build capability from within, and that works the same way for a company as it does for a country. People are still on the other side of everything we build, and talent must understand what AI can and cannot do, because judgment and human connection still decide outcomes in customer relationships and beyond. Reskilling needs to be continuous, not a one-time reaction."</p><p>&nbsp;</p><p>Together, the two views point to the same conclusion: the skills gap is a question of depth and durability, not just headcount. Capability must be measured honestly, built deliberately and renewed continuously, and technology fluency must be matched by the human judgment that machines cannot replicate.</p><p>&nbsp;</p><p>For policymakers and business leaders, the path forward is becoming clearer. First, assess skills by proficiency rather than presence. Second, design role-specific learning tied to real business needs. Third, deepen partnerships between industry, educators and governments so that curricula evolve alongside the market, a theme also emphasised in recent global discussions on the role of industry in closing skills gaps and addressing the digital talent shortage. Finally, treat reskilling as an ongoing investment rather than a periodic response to disruption.</p><p>&nbsp;</p><p>The nations that thrive in the coming decade will not necessarily be those with the largest workforces, but those with the most capable ones. Closing the skills gap is no longer a human resources concern alone; it is the foundation of every country's growth story, and the time to build that pipeline is now.</p>

 Each wave of technology rewrites what employers mean by "skilled", and AI has sharply accelerated that rewriting. Degree-led pathways and one-off training programmes, designed for a more stable job market, are struggling to keep up.

In a global economy defined by rapid technological disruption, demographic shifts, and declining birth rates, countries can no longer rely solely on legacy industries or labour arbitrage to sustain long-term growth. It is heavily driven by advancements in artificial intelligence, quantum computing, biotechnology, and clean energy. Winning nations require a continuous stream of specialised researchers, engineers, and developers to pioneer these fields. However, beyond creating the pathway for technology growth, countries need to focus on the skills and training of the young generation to adopt and integrate these advanced tools to channelised it as per the requirements. As artificial intelligence, automation and digital platforms reshape every sector, the question facing governments and businesses is no longer limited to whether a skills gap exists, but how deep it runs and how quickly it can be closed. Nations with answers will shape the next phase of global growth; those that do not risk being left behind. The challenge is widening because the target keeps moving. Each wave of technology rewrites what employers mean by "skilled", and AI has sharply accelerated that rewriting. Degree-led pathways and one-off training programmes, designed for a more stable job market, are struggling to keep up. For India, with its young workforce and ambitions of becoming a leading global economy, the stakes are particularly high. According to Arindam Ghosh, Head, India and South Asia, IMA (Institute of Management Accountants), the conversation must shift from whether talent has a skill to how well it can apply it. “The skills gap is no longer simply about whether talent has a particular skill; it is about the depth and application of that skill. Our research with AIHR highlights that capability progresses from Foundational to Proficient and Expert levels, and organisations need to understand where their talent actually stands. This is particularly important, as more than 87% of companies globally are facing, or expect to face, skills gaps. Our analysis of 2.97 million job postings also shows that future-ready talent needs both technical depth and strategic capabilities. For nations seeking sustainable economic growth, building a strong talent pipeline therefore means moving beyond generic training towards targeted, role-specific development that enables people to apply skills independently and lead innovation, ”Ghosh said. That distinction matters for employers. Counting certifications or training hours reveals little about whether someone can perform at the level a role demands. Mapping capability across progressive levels lets organisations see where talent truly stands, invest where gaps are real, and avoid spending on training that changes nothing. Also read: Are Indians 'voting with their feet?' Skilled labour emigration grows, but no one's crying ‘brain drain’ Skill changes as technology changes The need to look beyond today's job descriptions is echoed by industry leaders. Phani Tangirala, MD & CEO, Expleo Solutions Limited, says, "Every time technology changes, the definition of "skilled" changes with it. AI is just making that painfully visible. We cannot build tomorrow's workforce by training people for today's jobs. The smarter play, the one we bet on internally, is to build capability from within, and that works the same way for a company as it does for a country. People are still on the other side of everything we build, and talent must understand what AI can and cannot do, because judgment and human connection still decide outcomes in customer relationships and beyond. Reskilling needs to be continuous, not a one-time reaction." Together, the two views point to the same conclusion: the skills gap is a question of depth and durability, not just headcount. Capability must be measured honestly, built deliberately and renewed continuously, and technology fluency must be matched by the human judgment that machines cannot replicate. For policymakers and business leaders, the path forward is becoming clearer. First, assess skills by proficiency rather than presence. Second, design role-specific learning tied to real business needs. Third, deepen partnerships between industry, educators and governments so that curricula evolve alongside the market, a theme also emphasised in recent global discussions on the role of industry in closing skills gaps and addressing the digital talent shortage. Finally, treat reskilling as an ongoing investment rather than a periodic response to disruption. The nations that thrive in the coming decade will not necessarily be those with the largest workforces, but those with the most capable ones. Closing the skills gap is no longer a human resources concern alone; it is the foundation of every country's growth story, and the time to build that pipeline is now.

<p>&nbsp;Each wave of technology rewrites what employers mean by "skilled", and AI has sharply accelerated that rewriting. Degree-led pathways and one-off training programmes, designed for a more stable job market, are struggling to keep up.</p>

Why every nation's growth story now depends on its talent pipeline? Experts weigh in

<p>Google has been accused of misusing its dominance to impose excessive commissions on app developers, as a mass consumer lawsuit worth more than £1 billion ($1.33 billion) ​started in London on Tuesday (October 7). The claim is brought on behalf of about ‌20 million consumers who bought apps using Google's Play Store, or paid for in-app purchases and subscriptions between 2015 and this July. It marks the latest case in Britain against Big ​Tech.</p><p><br>Lawyers for consumer advocate Liz Coll, who is leading the action, stated that ​Google abused its dominant position by charging commissions of up ⁠to 30 per cent on Play Store app purchases, in-app purchases and subscriptions. They argue that app developers passed these excessive commissions on to consumers. As an example, they point to Google's own YouTube Premium: when it was sold through Apple's App Store, Google chose to pass on the commission it was charged.</p><p>&nbsp;</p><p><strong>Also read: </strong><a href="https://www.wionews.com/world/who-breaks-silence-on-possible-pneumonic-plague-in-russia-seeks-clarity-on-second-reported-death-1791344075932">WHO breaks silence on possible pneumonic plague in Russia, seeks clarity on second reported death</a></p><h3>Competition from Apple's App Store</h3><p>However, Alphabet, Google's ​parent company, is fighting the lawsuit. A spokesperson stated that the company has ignored the ​degree of choice the Android platform gives consumers and that it charges "some of the lowest fees ‌in ⁠the market". The tech giant's lawyers argued that the Play Store experienced strong competitive constraints both on the developer and consumer sides from Apple's App Store and other alternative platforms.</p><p><br>The trial at London's Competition Appeal Tribunal follows similar cases against Apple and Sony over their App Store and PlayStation Store, both of which involved commissions of up to 30 per cent. Coll's claim also comes after years of regulatory scrutiny and litigation over Google's app store practices, including a long-running dispute with "Fortnite" maker Epic Games, whose London lawsuit was due to be heard alongside hers.</p><p><br>In March, Google and Epic reached a worldwide settlement under which Google said it would expand billing options and cut developer fees. Last month, Google also paid £260 million to settle another lawsuit, brought on behalf of app developers, without admitting liability or wrongdoing.</p>

Lawyers for consumer advocate Liz Coll, who is leading the action, stated that ​Google abused its dominant position by charging commissions of up ⁠to 30 per cent on Play Store app purchases, in-app purchases and subscriptions.

Google has been accused of misusing its dominance to impose excessive commissions on app developers, as a mass consumer lawsuit worth more than £1 billion ($1.33 billion) started in London on Tuesday (October 7). The claim is brought on behalf of about ‌20 million consumers who bought apps using Google's Play Store, or paid for in-app purchases and subscriptions between 2015 and this July. It marks the latest case in Britain against Big Tech. Lawyers for consumer advocate Liz Coll, who is leading the action, stated that Google abused its dominant position by charging commissions of up ⁠to 30 per cent on Play Store app purchases, in-app purchases and subscriptions. They argue that app developers passed these excessive commissions on to consumers. As an example, they point to Google's own YouTube Premium: when it was sold through Apple's App Store, Google chose to pass on the commission it was charged. Also read: WHO breaks silence on possible pneumonic plague in Russia, seeks clarity on second reported death Competition from Apple's App Store However, Alphabet, Google's parent company, is fighting the lawsuit. A spokesperson stated that the company has ignored the degree of choice the Android platform gives consumers and that it charges "some of the lowest fees ‌in ⁠the market". The tech giant's lawyers argued that the Play Store experienced strong competitive constraints both on the developer and consumer sides from Apple's App Store and other alternative platforms. The trial at London's Competition Appeal Tribunal follows similar cases against Apple and Sony over their App Store and PlayStation Store, both of which involved commissions of up to 30 per cent. Coll's claim also comes after years of regulatory scrutiny and litigation over Google's app store practices, including a long-running dispute with "Fortnite" maker Epic Games, whose London lawsuit was due to be heard alongside hers. In March, Google and Epic reached a worldwide settlement under which Google said it would expand billing options and cut developer fees. Last month, Google also paid £260 million to settle another lawsuit, brought on behalf of app developers, without admitting liability or wrongdoing.

<p>Lawyers for consumer advocate Liz Coll, who is leading the action, stated that ​Google abused its dominant position by charging commissions of up ⁠to 30 per cent on Play Store app purchases, in-app purchases and subscriptions.</p>

Big Tech case: Google faces £1 billion consumer lawsuit in UK over play store fees

<p>OpenAI is expanding advertising inside ChatGPT, with visual display ads set to appear alongside images generated by the AI chatbot. The new format will initially launch in the US later this month with a limited group of advertisers.</p><p>&nbsp;</p><p>The move marks a significant step in OpenAI’s effort to turn ChatGPT into a larger advertising platform. The company says the advertisements will be clearly labelled and will not influence the answers generated by ChatGPT. The expansion comes as OpenAI increasingly looks to monetise the huge audience using its free and lower-cost ChatGPT plans.</p><h2><strong>ChatGPT ads are becoming more visual</strong></h2><p>Until now, OpenAI’s advertising push has largely focused on more traditional ad placements. The new format will allow brands to use images to promote products and services alongside visual content created by ChatGPT. That could make the chatbot more attractive to advertisers, particularly brands that rely heavily on visual marketing. OpenAI says the ads will eventually be capable of reaching ChatGPT's reported 1.2 billion weekly users as the programme expands beyond the US. However, the change could also alter how ChatGPT feels for people using the free version. More prominent advertising could encourage some users to move to paid subscriptions to avoid ads.</p><h2><strong>OpenAI is building a bigger ad business</strong></h2><p>The company is also expanding the tools available to advertisers to measure how their campaigns perform. OpenAI has added partnerships covering click attribution and broader advertising measurement, including AppsFlyer, Triple Whale, Adjust, DV Rockerbox, Northbeam, Branch, Singular, Kochava, Airbridge and Tenjin. It is also working with Haus, Measured and WorkMagic on geo-based advertising experiments. For brands, the aim is to make ChatGPT advertising easier to measure and compare with campaigns on other platforms.</p><h2><strong>What this means for ChatGPT users</strong></h2><p>OpenAI is also developing brand-suitability tools with DoubleVerify and Integral Ad Science. These are designed to help advertisers understand the environment in which their ads appear. The bigger picture is clear: OpenAI wants advertising to become a major part of ChatGPT’s business model, particularly for users on free and cheaper plans.</p><p>The company began introducing ads earlier this year and expanded them to India in August. The addition of visual advertising suggests that the experiment is now moving into a more sophisticated phase.</p><p>&nbsp;</p><p>For users, the key question will be whether these ads remain clearly separated from ChatGPT's answers and whether the growing presence of advertising changes the experience of using the world's most prominent AI chatbot.</p>

OpenAI is expanding ChatGPT's advertising business with visual ads that will appear alongside AI-generated images. The ads will initially launch in the US later this month, while OpenAI also expands measurement tools and brand-safety partnerships.

OpenAI is expanding advertising inside ChatGPT, with visual display ads set to appear alongside images generated by the AI chatbot. The new format will initially launch in the US later this month with a limited group of advertisers. The move marks a significant step in OpenAI’s effort to turn ChatGPT into a larger advertising platform. The company says the advertisements will be clearly labelled and will not influence the answers generated by ChatGPT. The expansion comes as OpenAI increasingly looks to monetise the huge audience using its free and lower-cost ChatGPT plans. ChatGPT ads are becoming more visual Until now, OpenAI’s advertising push has largely focused on more traditional ad placements. The new format will allow brands to use images to promote products and services alongside visual content created by ChatGPT. That could make the chatbot more attractive to advertisers, particularly brands that rely heavily on visual marketing. OpenAI says the ads will eventually be capable of reaching ChatGPT's reported 1.2 billion weekly users as the programme expands beyond the US. However, the change could also alter how ChatGPT feels for people using the free version. More prominent advertising could encourage some users to move to paid subscriptions to avoid ads. OpenAI is building a bigger ad business The company is also expanding the tools available to advertisers to measure how their campaigns perform. OpenAI has added partnerships covering click attribution and broader advertising measurement, including AppsFlyer, Triple Whale, Adjust, DV Rockerbox, Northbeam, Branch, Singular, Kochava, Airbridge and Tenjin. It is also working with Haus, Measured and WorkMagic on geo-based advertising experiments. For brands, the aim is to make ChatGPT advertising easier to measure and compare with campaigns on other platforms. What this means for ChatGPT users OpenAI is also developing brand-suitability tools with DoubleVerify and Integral Ad Science. These are designed to help advertisers understand the environment in which their ads appear. The bigger picture is clear: OpenAI wants advertising to become a major part of ChatGPT’s business model, particularly for users on free and cheaper plans. The company began introducing ads earlier this year and expanded them to India in August. The addition of visual advertising suggests that the experiment is now moving into a more sophisticated phase. For users, the key question will be whether these ads remain clearly separated from ChatGPT's answers and whether the growing presence of advertising changes the experience of using the world's most prominent AI chatbot.

<p>OpenAI is expanding ChatGPT's advertising business with visual ads that will appear alongside AI-generated images. The ads will initially launch in the US later this month, while OpenAI also expands measurement tools and brand-safety partnerships.</p>

OpenAI to show visual ads alongside ChatGPT image generation results

<p>OpenAI is preparing to add an invisible watermark to text generated by ChatGPT and Codex in the European Union, bringing a major change to how AI-written content can be identified.</p><p>&nbsp;</p><p>The watermark is being introduced to comply with the transparency requirements of the EU AI Act. Unlike a visible label, it will not appear as a symbol or warning to readers. Instead, OpenAI will subtly influence word choices in generated text, creating a hidden pattern that specialised detection systems can identify. The company said the feature will begin rolling out to eligible ChatGPT and Codex users on all plans in the EU over the coming weeks.</p><h2><strong>How does OpenAI's invisible watermark work?</strong></h2><p>OpenAI's system, called textGrain, works inside the generated text itself. In simple terms, the model makes small, controlled changes to its word-selection process. When enough of these changes are combined, a detector with access to the relevant key can look at the text and identify the hidden pattern. Because the watermark is embedded in the words, it can remain attached when users copy and paste the text elsewhere. OpenAI said the watermark does not identify the person who generated the content. It also reported no meaningful impact on model performance when the system was enabled.</p><h2><strong>Can the ChatGPT watermark be removed?</strong></h2><p>This is where the technology has an important limitation. OpenAI's own tests found that editing can make the watermark harder to detect. Replacing just 10 per cent of words with synonyms reduced detection from about 92 per cent to 66 per cent in one test. Short passages, mathematical answers and translated text can also be more difficult to identify. That means a failure to detect the watermark does not prove that a person wrote the text. OpenAI will initially give detector access only to approved researchers and expert organisations to assess its reliability and responsible uses.</p><h2><strong>Why is OpenAI doing this now?</strong></h2><p>The change comes as AI-generated content becomes harder to distinguish from human writing and regulators push technology companies towards greater transparency. The EU's AI Act transparency rules took effect on August 2 and require AI-generated content to be marked in a way that other systems can identify.</p><p>&nbsp;</p><p>OpenAI said the watermark will initially be limited to the EU rather than becoming a global default. Developers using OpenAI's API can also enable the technology for selected models worldwide, although it is switched off by default. The move follows Anthropic's decision to watermark Claude-generated text worldwide. OpenAI had reportedly developed a similar system previously but delayed releasing it amid concerns that users might move to competing AI services without watermarks.</p>

OpenAI will introduce an invisible watermark for ChatGPT and Codex text in the EU to meet AI Act transparency rules. The hidden pattern can be detected by specialised systems, but OpenAI says editing, short text and translation can make detection less reliable.

OpenAI is preparing to add an invisible watermark to text generated by ChatGPT and Codex in the European Union, bringing a major change to how AI-written content can be identified. The watermark is being introduced to comply with the transparency requirements of the EU AI Act. Unlike a visible label, it will not appear as a symbol or warning to readers. Instead, OpenAI will subtly influence word choices in generated text, creating a hidden pattern that specialised detection systems can identify. The company said the feature will begin rolling out to eligible ChatGPT and Codex users on all plans in the EU over the coming weeks. How does OpenAI's invisible watermark work? OpenAI's system, called textGrain, works inside the generated text itself. In simple terms, the model makes small, controlled changes to its word-selection process. When enough of these changes are combined, a detector with access to the relevant key can look at the text and identify the hidden pattern. Because the watermark is embedded in the words, it can remain attached when users copy and paste the text elsewhere. OpenAI said the watermark does not identify the person who generated the content. It also reported no meaningful impact on model performance when the system was enabled. Can the ChatGPT watermark be removed? This is where the technology has an important limitation. OpenAI's own tests found that editing can make the watermark harder to detect. Replacing just 10 per cent of words with synonyms reduced detection from about 92 per cent to 66 per cent in one test. Short passages, mathematical answers and translated text can also be more difficult to identify. That means a failure to detect the watermark does not prove that a person wrote the text. OpenAI will initially give detector access only to approved researchers and expert organisations to assess its reliability and responsible uses. Why is OpenAI doing this now? The change comes as AI-generated content becomes harder to distinguish from human writing and regulators push technology companies towards greater transparency. The EU's AI Act transparency rules took effect on August 2 and require AI-generated content to be marked in a way that other systems can identify. OpenAI said the watermark will initially be limited to the EU rather than becoming a global default. Developers using OpenAI's API can also enable the technology for selected models worldwide, although it is switched off by default. The move follows Anthropic's decision to watermark Claude-generated text worldwide. OpenAI had reportedly developed a similar system previously but delayed releasing it amid concerns that users might move to competing AI services without watermarks.

<p>OpenAI will introduce an invisible watermark for ChatGPT and Codex text in the EU to meet AI Act transparency rules. The hidden pattern can be detected by specialised systems, but OpenAI says editing, short text and translation can make detection less reliable.</p>

OpenAI reveals new way to detect ChatGPT text without visible labels

<p>Tesla may finally be turning a corner after two consecutive years of falling vehicle sales. The electric carmaker delivered 486,532 vehicles in the third quarter of 2026, comfortably beating analysts’ estimate of 456,896, according to Visible Alpha data. The stronger-than-expected numbers sent Tesla shares more than 5 per cent higher in early trading on October 2. More importantly, the result means the company now needs just 311,448 deliveries in the fourth quarter to avoid a third straight annual decline.</p><h2><strong>Europe becomes key to Tesla’s recovery</strong></h2><p>Tesla’s rebound comes as its performance in Europe improves after a difficult 2025.</p><p>&nbsp;</p><p>European sales had been hit by several factors, including political backlash against CEO Elon Musk and competition from cheaper Chinese electric vehicles. But registrations have recovered sharply this year. Tesla recorded stronger growth in markets including France and Denmark during the third quarter. Government incentives, easier comparisons with last year and growing interest in electric vehicles have all helped the recovery. The company’s Full Self-Driving technology could provide another boost. Tesla’s FSD software has now been approved in eight European countries, although its rollout remains gradual.</p><h2><strong>Tesla no longer relying only on US incentives</strong></h2><p>The result is particularly significant because a $7,500 US federal tax credit for EV buyers expired in September 2025. Tesla therefore faced a tougher US market comparison this year. Analysts have responded by raising their expectations for Tesla’s full-year deliveries. The latest consensus cited by Reuters puts 2026 deliveries at 1.82 million vehicles, up from 1.65 million in June.</p><h2><strong>Musk’s bigger Tesla bet goes beyond cars</strong></h2><p>Despite the delivery improvement, investors are increasingly looking beyond Tesla’s traditional car business.</p><p>Elon Musk has positioned the company around artificial intelligence, robotaxis and humanoid robots. Tesla’s robotaxi service is already operating without an in-car safety supervisor in Texas and Florida, while the company has also introduced its purpose-built Cybercab into the Austin service. Tesla is due to report its full third-quarter financial results on October 21 after markets close. That report will show whether the delivery rebound is translating into stronger financial performance. For now, the latest figures give Tesla something it has been missing: evidence that its core vehicle business can return to growth.</p>

Tesla delivered 486,532 vehicles in Q3 2026, beating Wall Street estimates by nearly 30,000. A recovery in Europe helped offset weaker US demand, putting the EV maker within 311,448 deliveries of ending its two-year annual sales decline.

Tesla may finally be turning a corner after two consecutive years of falling vehicle sales. The electric carmaker delivered 486,532 vehicles in the third quarter of 2026, comfortably beating analysts’ estimate of 456,896, according to Visible Alpha data. The stronger-than-expected numbers sent Tesla shares more than 5 per cent higher in early trading on October 2. More importantly, the result means the company now needs just 311,448 deliveries in the fourth quarter to avoid a third straight annual decline. Europe becomes key to Tesla’s recovery Tesla’s rebound comes as its performance in Europe improves after a difficult 2025. European sales had been hit by several factors, including political backlash against CEO Elon Musk and competition from cheaper Chinese electric vehicles. But registrations have recovered sharply this year. Tesla recorded stronger growth in markets including France and Denmark during the third quarter. Government incentives, easier comparisons with last year and growing interest in electric vehicles have all helped the recovery. The company’s Full Self-Driving technology could provide another boost. Tesla’s FSD software has now been approved in eight European countries, although its rollout remains gradual. Tesla no longer relying only on US incentives The result is particularly significant because a $7,500 US federal tax credit for EV buyers expired in September 2025. Tesla therefore faced a tougher US market comparison this year. Analysts have responded by raising their expectations for Tesla’s full-year deliveries. The latest consensus cited by Reuters puts 2026 deliveries at 1.82 million vehicles, up from 1.65 million in June. Musk’s bigger Tesla bet goes beyond cars Despite the delivery improvement, investors are increasingly looking beyond Tesla’s traditional car business. Elon Musk has positioned the company around artificial intelligence, robotaxis and humanoid robots. Tesla’s robotaxi service is already operating without an in-car safety supervisor in Texas and Florida, while the company has also introduced its purpose-built Cybercab into the Austin service. Tesla is due to report its full third-quarter financial results on October 21 after markets close. That report will show whether the delivery rebound is translating into stronger financial performance. For now, the latest figures give Tesla something it has been missing: evidence that its core vehicle business can return to growth.

<p>Tesla delivered 486,532 vehicles in Q3 2026, beating Wall Street estimates by nearly 30,000. A recovery in Europe helped offset weaker US demand, putting the EV maker within 311,448 deliveries of ending its two-year annual sales decline.</p>

Tesla car sales show signs of recovery as deliveries beat forecasts

<p>Money from the cryptocurrency industry is playing a subtle but crucial role in the US midterm elections. From crypto-millionaire donors to crypto-linked super political action committees (super PACs), millions of dollars are flowing into the 2026 election campaign. Crypto companies have contributed roughly $206 million this election cycle, according to analyses by groups like Public Citizen based on Federal Election Commission (FEC) data. This makes crypto the largest corporate source of political contributions tracked so far, ahead of online betting and Big Tech and artificial intelligence companies. The figure has already surpassed the industry's $170 million contribution in the 2024 cycle.</p><p>Some of the money is going to non-crypto-specific groups such as MAGA Inc., a super PAC aligned with President Donald Trump. The scale of the spending raises an important question: who are the people and organisations making this push, and what do they want? Here is a primer.</p><h2>Top donors to major crypto PACs</h2><p>The most prominent groups are the Fairshake network, Protect Progress, Defend American Jobs and the Digital Freedom Fund. They are backed by a relatively small group of crypto companies, venture capital firms and executives.</p><p>Fairshake is the crypto industry's flagship bipartisan super PAC. Its major backers include Coinbase, Ripple Labs and Andreessen Horowitz, also known as a16z. As of 30 June, Fairshake had received almost $137 million in the 2026 election cycle and had about $127 million in cash on hand, according to FEC filings.</p><p>Fairshake itself reported about $138 million in receipts in the 2026 cycle by the middle of the year, while the broader network is larger when its affiliated committees and transfers are included.</p><p>The Digital Freedom Fund is a Republican-leaning super PAC backed heavily by Winklevoss Capital, associated with Gemini co-founders Tyler and Cameron Winklevoss. It reported $22.4 million in receipts through 30 June 2026. More than $21 million came from Winklevoss Capital Fund LLC. Payward Inc. contributed $1 million and investor Naval Ravikant contributed $100,000.</p><p><a href="https://www.wionews.com/videos/trump-administration-gains-access-to-voter-data-1790408108603/embed">https://www.wionews.com/videos/trump-administration-gains-access-to-voter-data-1790408108603/embed</a></p><h2>What do they want? Why crypto firms and associated individuals are among the top corporate political donors in the midterms</h2><p>The funding , which goes to both Republicans and Democrats, is mainly aimed at electing and protecting candidates who support clearer federal rules for digital assets such as cryptocurrencies. The industry's political spending also supports independent advertising that does not always mention crypto directly. In many cases, the ads focus on candidates' broader records or other issues rather than explicitly discussing cryptocurrency policy. This approach was also prominent during the 2024 election cycle.</p><p>Also read: <a href="https://www.wionews.com/business-economy/bitcoin-surges-above-85-000-as-nearly-900-million-in-crypto-positions-are-liquidated-is-the-crypto-winter-over-1790004335800">Bitcoin surges above $85,000 as nearly $900 million in crypto positions are liquidated: Is the crypto winter over?</a></p><h2>More about Fairshake and others: Funding both sides</h2><p>Fairshake is an issue-focused group that backs pro-crypto candidates who favour American innovation in both parties. Its broader objective is to expand a pro-crypto congressional caucus.</p><p>Fairshake transfers funds to its two main partisan affiliates: Defend American Jobs, which is Republican-focused, and Protect Progress, which is Democrat-focused. This allows the network to support candidates from both major parties while concentrating on their positions on digital-asset policy.</p><p>Across the Fairshake network, receipts have reached hundreds of millions of dollars when the affiliated committees and wider corporate contributions are included. Fairshake and its affiliates have also spent tens of millions of dollars on primaries and early general-election activity.&nbsp;</p><p>Fairshake has also announced a planned $30 million campaign against Democratic Senate candidate Sherrod Brown in Ohio. The spending is part of the industry's broader effort to influence races involving candidates viewed as supportive or hostile to crypto legislation.</p><p>Digital Freedom Fund, a Republican-leaning super PAC backed heavily by the Winklevoss interests, is focused on Republican candidates supporting crypto-friendly policies.</p><p>Its objectives include self-custody rights, developer protections, banking access for crypto firms and opposition to a US central bank digital currency.</p><p>Stand With Crypto Alliance, a Coinbase-backed advocacy and pressure group, has also built a large grassroots base. In 2025, it reported more than 2.6 million advocates and chapters in all 50 states. By late September 2026, the organisation was referring to more than three million advocates. It grades politicians on their crypto positions, organises events and meetings with lawmakers, and supports candidates through endorsements and advertising.</p><p>Smaller or related entities, such as Fellowship PAC, have also been active in some races.</p><p>Beyond direct campaign spending, the crypto industry has deployed lobbyists, advocacy groups and executive engagement. Industry representatives regularly meet senators and House members from both parties to push legislation and influence agency rules.</p><p>Also read: <a href="https://www.wionews.com/world/trump-minted-over-1-billion-from-crypto-dealings-in-first-year-back-in-office-1782868287013">Trump minted over $1 billion from crypto dealings in first year back in office</a></p><h2>Who are the crypto millions supporting?&nbsp;</h2><p>During primaries, Fairshake had backed candidates in 57 races and won 53 of them by early October. On Monday, (Oct 5, Fairshake announced support for 32 House incumbents: 19 Republicans and 13 Democrats. All of the candidates supported in this latest round had voted for the Digital Asset Market Clarity (CLARITY) Act when it passed the House in 2025.</p><p>Among the Democratic House representatives receiving support are Janelle Bynum, Steven Horsford and Derek Tran. Republican priorities include Representatives French Hill, chair of the House Financial Services Committee, Bill Huizenga and Bryan Steil, who has a role on the committee's digital-assets subcommittee.</p><p>Other Republicans supported by crypto money include Tom Emmer, Michelle Fischbach and Jason Smith. Democratic candidates supported by the industry include Pete Aguilar and Josh Gottheimer, among others.</p><h2>Crypto industry's priority is to reduce regulatory uncertainty</h2><p>The crypto industry has been rooting for the passage of market-structure legislation such as the Digital Asset Market Clarity (CLARITY) Act. The bill passed the House in 2025 by 294-134, but failed to advance in the Senate in September after a procedural vote fell short of the 60 votes needed. The Senate vote was 49-50, according to Reuters.</p><p>The legislation aimed to clarify the respective jurisdictions of the Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC) over digital assets. It also sought to establish rules for crypto issuance and trading and registration requirements for intermediaries, while reducing uncertainty created by enforcement-led regulation.</p><p>The failure of the legislation has shifted the industry's focus towards the next Congress and continuing Securities and Exchange Commission and Commodity Futures Trading Commission rulemaking.</p><p>The industry is also building on the earlier GENIUS Act, which had established a federal framework for stablecoins.</p><p>Other areas of interest include banking access and integration of crypto firms with payment rails, as well as greater tax clarity on issues such as crypto mining, staking and rewards. The industry also wants clearer rules for peer-to-peer transactions while some advocacy groups oppose overly restrictive regulations and a retail central bank digital currency.</p><h2>Money matters, but criticism is there too</h2><p>Critics, including Public Citizen, oppose the use of unlimited super PAC spending to prioritise corporate policy goals over party loyalty. They argue that large contributions give companies and wealthy individuals greater leverage over candidates and public policy, including through both supportive and attack advertisements.</p><p>The scale of crypto spending has therefore turned the 2026 midterms into an important test of how much influence a rapidly expanding industry can exert over Congress and the rules governing digital assets.</p>

Crypto firms and investors are pouring hundreds of millions into the US midterms through super PACs and cash donations and campaign ads. They are backing pro-crypto candidates from both Republican and Democratic parties, seeking clearer digital-asset rules after the CLARITY Act stalled.

Money from the cryptocurrency industry is playing a subtle but crucial role in the US midterm elections. From crypto-millionaire donors to crypto-linked super political action committees (super PACs), millions of dollars are flowing into the 2026 election campaign. Crypto companies have contributed roughly $206 million this election cycle, according to analyses by groups like Public Citizen based on Federal Election Commission (FEC) data. This makes crypto the largest corporate source of political contributions tracked so far, ahead of online betting and Big Tech and artificial intelligence companies. The figure has already surpassed the industry's $170 million contribution in the 2024 cycle. Some of the money is going to non-crypto-specific groups such as MAGA Inc., a super PAC aligned with President Donald Trump. The scale of the spending raises an important question: who are the people and organisations making this push, and what do they want? Here is a primer. Top donors to major crypto PACs The most prominent groups are the Fairshake network, Protect Progress, Defend American Jobs and the Digital Freedom Fund. They are backed by a relatively small group of crypto companies, venture capital firms and executives. Fairshake is the crypto industry's flagship bipartisan super PAC. Its major backers include Coinbase, Ripple Labs and Andreessen Horowitz, also known as a16z. As of 30 June, Fairshake had received almost $137 million in the 2026 election cycle and had about $127 million in cash on hand, according to FEC filings. Fairshake itself reported about $138 million in receipts in the 2026 cycle by the middle of the year, while the broader network is larger when its affiliated committees and transfers are included. The Digital Freedom Fund is a Republican-leaning super PAC backed heavily by Winklevoss Capital, associated with Gemini co-founders Tyler and Cameron Winklevoss. It reported $22.4 million in receipts through 30 June 2026. More than $21 million came from Winklevoss Capital Fund LLC. Payward Inc. contributed $1 million and investor Naval Ravikant contributed $100,000. https://www.wionews.com/videos/trump-administration-gains-access-to-voter-data-1790408108603/embed What do they want? Why crypto firms and associated individuals are among the top corporate political donors in the midterms The funding , which goes to both Republicans and Democrats, is mainly aimed at electing and protecting candidates who support clearer federal rules for digital assets such as cryptocurrencies. The industry's political spending also supports independent advertising that does not always mention crypto directly. In many cases, the ads focus on candidates' broader records or other issues rather than explicitly discussing cryptocurrency policy. This approach was also prominent during the 2024 election cycle. Also read: Bitcoin surges above $85,000 as nearly $900 million in crypto positions are liquidated: Is the crypto winter over? More about Fairshake and others: Funding both sides Fairshake is an issue-focused group that backs pro-crypto candidates who favour American innovation in both parties. Its broader objective is to expand a pro-crypto congressional caucus. Fairshake transfers funds to its two main partisan affiliates: Defend American Jobs, which is Republican-focused, and Protect Progress, which is Democrat-focused. This allows the network to support candidates from both major parties while concentrating on their positions on digital-asset policy. Across the Fairshake network, receipts have reached hundreds of millions of dollars when the affiliated committees and wider corporate contributions are included. Fairshake and its affiliates have also spent tens of millions of dollars on primaries and early general-election activity. Fairshake has also announced a planned $30 million campaign against Democratic Senate candidate Sherrod Brown in Ohio. The spending is part of the industry's broader effort to influence races involving candidates viewed as supportive or hostile to crypto legislation. Digital Freedom Fund, a Republican-leaning super PAC backed heavily by the Winklevoss interests, is focused on Republican candidates supporting crypto-friendly policies. Its objectives include self-custody rights, developer protections, banking access for crypto firms and opposition to a US central bank digital currency. Stand With Crypto Alliance, a Coinbase-backed advocacy and pressure group, has also built a large grassroots base. In 2025, it reported more than 2.6 million advocates and chapters in all 50 states. By late September 2026, the organisation was referring to more than three million advocates. It grades politicians on their crypto positions, organises events and meetings with lawmakers, and supports candidates through endorsements and advertising. Smaller or related entities, such as Fellowship PAC, have also been active in some races. Beyond direct campaign spending, the crypto industry has deployed lobbyists, advocacy groups and executive engagement. Industry representatives regularly meet senators and House members from both parties to push legislation and influence agency rules. Also read: Trump minted over $1 billion from crypto dealings in first year back in office Who are the crypto millions supporting? During primaries, Fairshake had backed candidates in 57 races and won 53 of them by early October. On Monday, (Oct 5, Fairshake announced support for 32 House incumbents: 19 Republicans and 13 Democrats. All of the candidates supported in this latest round had voted for the Digital Asset Market Clarity (CLARITY) Act when it passed the House in 2025. Among the Democratic House representatives receiving support are Janelle Bynum, Steven Horsford and Derek Tran. Republican priorities include Representatives French Hill, chair of the House Financial Services Committee, Bill Huizenga and Bryan Steil, who has a role on the committee's digital-assets subcommittee. Other Republicans supported by crypto money include Tom Emmer, Michelle Fischbach and Jason Smith. Democratic candidates supported by the industry include Pete Aguilar and Josh Gottheimer, among others. Crypto industry's priority is to reduce regulatory uncertainty The crypto industry has been rooting for the passage of market-structure legislation such as the Digital Asset Market Clarity (CLARITY) Act. The bill passed the House in 2025 by 294-134, but failed to advance in the Senate in September after a procedural vote fell short of the 60 votes needed. The Senate vote was 49-50, according to Reuters. The legislation aimed to clarify the respective jurisdictions of the Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC) over digital assets. It also sought to establish rules for crypto issuance and trading and registration requirements for intermediaries, while reducing uncertainty created by enforcement-led regulation. The failure of the legislation has shifted the industry's focus towards the next Congress and continuing Securities and Exchange Commission and Commodity Futures Trading Commission rulemaking. The industry is also building on the earlier GENIUS Act, which had established a federal framework for stablecoins. Other areas of interest include banking access and integration of crypto firms with payment rails, as well as greater tax clarity on issues such as crypto mining, staking and rewards. The industry also wants clearer rules for peer-to-peer transactions while some advocacy groups oppose overly restrictive regulations and a retail central bank digital currency. Money matters, but criticism is there too Critics, including Public Citizen, oppose the use of unlimited super PAC spending to prioritise corporate policy goals over party loyalty. They argue that large contributions give companies and wealthy individuals greater leverage over candidates and public policy, including through both supportive and attack advertisements. The scale of crypto spending has therefore turned the 2026 midterms into an important test of how much influence a rapidly expanding industry can exert over Congress and the rules governing digital assets.

<p>Crypto firms and investors are pouring hundreds of millions into the US midterms through super PACs and cash donations and campaign ads. They are backing pro-crypto candidates from both Republican and Democratic parties, seeking clearer digital-asset rules after the CLARITY Act stalled.</p>

US Midterms 2026: Cryptocurrency industry money is playing a crucial role. What do donors want? Fairshake, super PACs and more

<p>OpenAI is reportedly engaged in discussions with several UAE-based investment funds, including Abu Dhabi-based MGX, to help anchor a $30 billion financing round for the ChatGPT maker. These funds would come together to form a syndicate to invest in the round, with UAE investors jointly discussing a potential of up to $10 billion altogether. BlackRock Inc. is also said to be in talks to join this syndicate, according to Bloomberg.</p><p><br>Sources also revealed that the fundraising is ongoing, and the details could change. However, OpenAI and BlackRock refused to comment on the development. Even representatives for MGX did not respond to requests for comment outside normal business hours.</p><p><br>OpenAI is reportedly seeking to secure at least $30 billion in fresh capital at a valuation nearly $1.4 trillion, even as the firm pushes back plans for an initial public offering until at least next year at the earliest, pointing to its focus on AI safety work. This latest push follows OpenAI most recently raising a $122 billion round in March, which had valued the company at $852 billion at the time.</p><p>&nbsp;</p><p><strong>Read more:</strong> <a href="https://www.wionews.com/world/oil-prices-fall-by-almost-2-as-g7-stockpile-release-offsets-strait-of-hormuz-supply-fears-1791260713210">Oil prices fall by almost 2% as G7 stockpile release offsets Strait of Hormuz supply fears</a></p><h3>Deep-pocketed investors</h3><p>Leading AI companies, including OpenAI and Anthropic PBC, have previously turned toward deep-pocketed investors in the Middle East to fulfil their intense capital requirements in order to develop and support cutting-edge artificial intelligence software. MGX, in particular, has already backed earlier funding rounds for both OpenAI and Anthropic, and according to Bloomberg News, the firm raised nearly $50 billion earlier this year specifically to ramp up its AI infrastructure investments.</p><p><br>Beyond the UAE funds, OpenAI has reportedly been in conversation with the University of California's endowment, an existing investor, about joining this round, while current backers Thrive Capital and Andreessen Horowitz have also reportedly discussed contributing. Thrive declined to offer a comment, and representatives for both Andreessen Horowitz and the University of California did not respond when reached.</p><p><br>Notably, OpenAI is said to be approaching this round differently than is typical: rather than allowing investors to negotiate terms and compete to lead the round, the company is presenting its $1.4 trillion pre-money valuation as essentially fixed, even without having locked in a lead investor, a departure from the usual venture-funding playbook.</p>

OpenAI is reportedly seeking to secure at least $30 billion in fresh capital at a valuation nearly $1.4 trillion, even as the firm pushes back plans for an initial public offering until at least next year at the earliest, pointing to its focus on AI safety work.

OpenAI is reportedly engaged in discussions with several UAE-based investment funds, including Abu Dhabi-based MGX, to help anchor a $30 billion financing round for the ChatGPT maker. These funds would come together to form a syndicate to invest in the round, with UAE investors jointly discussing a potential of up to $10 billion altogether. BlackRock Inc. is also said to be in talks to join this syndicate, according to Bloomberg. Sources also revealed that the fundraising is ongoing, and the details could change. However, OpenAI and BlackRock refused to comment on the development. Even representatives for MGX did not respond to requests for comment outside normal business hours. OpenAI is reportedly seeking to secure at least $30 billion in fresh capital at a valuation nearly $1.4 trillion, even as the firm pushes back plans for an initial public offering until at least next year at the earliest, pointing to its focus on AI safety work. This latest push follows OpenAI most recently raising a $122 billion round in March, which had valued the company at $852 billion at the time. Read more: Oil prices fall by almost 2% as G7 stockpile release offsets Strait of Hormuz supply fears Deep-pocketed investors Leading AI companies, including OpenAI and Anthropic PBC, have previously turned toward deep-pocketed investors in the Middle East to fulfil their intense capital requirements in order to develop and support cutting-edge artificial intelligence software. MGX, in particular, has already backed earlier funding rounds for both OpenAI and Anthropic, and according to Bloomberg News, the firm raised nearly $50 billion earlier this year specifically to ramp up its AI infrastructure investments. Beyond the UAE funds, OpenAI has reportedly been in conversation with the University of California's endowment, an existing investor, about joining this round, while current backers Thrive Capital and Andreessen Horowitz have also reportedly discussed contributing. Thrive declined to offer a comment, and representatives for both Andreessen Horowitz and the University of California did not respond when reached. Notably, OpenAI is said to be approaching this round differently than is typical: rather than allowing investors to negotiate terms and compete to lead the round, the company is presenting its $1.4 trillion pre-money valuation as essentially fixed, even without having locked in a lead investor, a departure from the usual venture-funding playbook.

<p>OpenAI is reportedly seeking to secure at least $30 billion in fresh capital at a valuation nearly $1.4 trillion, even as the firm pushes back plans for an initial public offering until at least next year at the earliest, pointing to its focus on AI safety work.</p>

OpenAI in talks with UAE funds, BlackRock for $30 billion round at $1.4t valuation

<p>Apple is introducing additional controls around Full Disk Access on macOS as concerns grow over how AI agents can access sensitive information on a Mac. The company says the change is aimed at making users more clearly understand what they are allowing when they give an app this powerful permission.</p><p>&nbsp;</p><p>The move comes days after a report claimed Meta’s Muse AI app accessed private messages on a Mac. Meta disputed the claim. The issue nevertheless highlighted a wider concern: desktop AI agents can be given access to files, messages and other personal information to perform tasks with less human intervention.</p><p>Apple says it is not simply removing Full Disk Access. Instead, it plans to require more explicit user action before an app can receive the permission.</p><h2><strong>Why Apple is changing Full Disk Access</strong></h2><p>Full Disk Access is a powerful macOS privacy setting. When granted, it can allow an application to access information such as files, Mail data, Messages and browsing history. The permission was originally designed to support legitimate functions, including certain backup tools. But Apple now says some developers are using it in ways that could expose large amounts of information without users fully understanding the consequences.</p><p>“Some developers are using Full Disk Access in ways that could put users at risk,” Apple said. The company specifically pointed to the growing capabilities of AI agents as an additional concern.</p><h2><strong>AI agents make the risk more important</strong></h2><p>Unlike traditional apps, AI agents can perform tasks on a user's behalf. That can mean reading documents, searching files, interacting with applications and carrying out multi-step actions. This makes broad system access more significant. If an agent has access to more information than it needs, a mistake, security flaw or malicious instruction could potentially expose sensitive data. Apple said the risks could increase as AI agents become “increasingly capable and autonomous”. The announcement also follows a separate report about a flaw in OpenAI’s ChatGPT Mac app that could potentially have exposed sensitive information.</p><h2><strong>What Mac users should know</strong></h2><p>The change does not mean Full Disk Access is disappearing. Users who genuinely need to give an application this level of access should still be able to do so.</p><p>&nbsp;</p><p>The key difference is informed consent. Apple says future controls will make the decision more explicit, helping users understand that granting Full Disk Access can give an app access to highly sensitive information. For Mac users, the development is a reminder that AI convenience can come with a privacy trade-off. Giving an AI agent access to an entire computer may make some tasks easier, but it can also give the software visibility into far more personal information than the task actually requires. As AI agents become more autonomous, the question may no longer be simply what they can do but how much of your digital life they should be allowed to see.</p>

Apple is introducing stronger consent controls for Full Disk Access on macOS, citing rising risks from increasingly capable AI agents. The change follows concerns over desktop AI accessing private files, messages and other sensitive information.

Apple is introducing additional controls around Full Disk Access on macOS as concerns grow over how AI agents can access sensitive information on a Mac. The company says the change is aimed at making users more clearly understand what they are allowing when they give an app this powerful permission. The move comes days after a report claimed Meta’s Muse AI app accessed private messages on a Mac. Meta disputed the claim. The issue nevertheless highlighted a wider concern: desktop AI agents can be given access to files, messages and other personal information to perform tasks with less human intervention. Apple says it is not simply removing Full Disk Access. Instead, it plans to require more explicit user action before an app can receive the permission. Why Apple is changing Full Disk Access Full Disk Access is a powerful macOS privacy setting. When granted, it can allow an application to access information such as files, Mail data, Messages and browsing history. The permission was originally designed to support legitimate functions, including certain backup tools. But Apple now says some developers are using it in ways that could expose large amounts of information without users fully understanding the consequences. “Some developers are using Full Disk Access in ways that could put users at risk,” Apple said. The company specifically pointed to the growing capabilities of AI agents as an additional concern. AI agents make the risk more important Unlike traditional apps, AI agents can perform tasks on a user's behalf. That can mean reading documents, searching files, interacting with applications and carrying out multi-step actions. This makes broad system access more significant. If an agent has access to more information than it needs, a mistake, security flaw or malicious instruction could potentially expose sensitive data. Apple said the risks could increase as AI agents become “increasingly capable and autonomous”. The announcement also follows a separate report about a flaw in OpenAI’s ChatGPT Mac app that could potentially have exposed sensitive information. What Mac users should know The change does not mean Full Disk Access is disappearing. Users who genuinely need to give an application this level of access should still be able to do so. The key difference is informed consent. Apple says future controls will make the decision more explicit, helping users understand that granting Full Disk Access can give an app access to highly sensitive information. For Mac users, the development is a reminder that AI convenience can come with a privacy trade-off. Giving an AI agent access to an entire computer may make some tasks easier, but it can also give the software visibility into far more personal information than the task actually requires. As AI agents become more autonomous, the question may no longer be simply what they can do but how much of your digital life they should be allowed to see.

<p>Apple is introducing stronger consent controls for Full Disk Access on macOS, citing rising risks from increasingly capable AI agents. The change follows concerns over desktop AI accessing private files, messages and other sensitive information.</p>

Apple changes Mac privacy controls after AI agents raise concerns over access to private data

<p>Online shopping is getting a new AI twist. OpenAI has introduced virtual try-on in ChatGPT, allowing users to upload a selfie or full-body photo and see how selected clothes and accessories could look on them before making a purchase.</p><p>&nbsp;</p><p>The feature is rolling out globally alongside a new Favorites tool, taking ChatGPT beyond product recommendations and towards a more visual shopping experience.</p><h2><strong>How ChatGPT virtual try-on works</strong></h2><p>Users can upload a photo of themselves and select the new Try On option when it appears with eligible shopping results. ChatGPT then generates an image showing the selected item on the user. There is another way to use the feature. Users can upload a screenshot of a product from a shopping website and ask ChatGPT to virtually try it on them. The feature is powered by OpenAI's ChatGPT Images 2.5 model. OpenAI says the model is better at handling lighting and textures, follows image-editing instructions more accurately and generates images with lower latency. This could be particularly useful for people who are unsure whether a particular style, colour or item will suit them.</p><p>&nbsp;</p><h2><strong>From one product to an entire outfit</strong></h2><p>The tool is not limited to trying on a single item. Users can describe the kind of look they want and ask ChatGPT to find clothes and accessories that fit that style. They can also upload an image of a celebrity outfit and ask ChatGPT to find similar products that are available to buy. That turns ChatGPT into more than a traditional shopping search tool. Instead of simply finding products, it can help users explore how different pieces could work together visually. However, shoppers should remember that an AI-generated preview is not a guarantee of how an item will actually fit or look in real life. Factors such as sizing, fabric, cut and lighting can affect the final appearance.</p><p>&nbsp;</p><h2><strong>ChatGPT Favorites lets shoppers save products</strong></h2><p>OpenAI is also introducing Favorites, allowing users to save products they discover while shopping through ChatGPT. Saved products will appear in the Library, alongside images generated through virtual try-on. Users can therefore return to products they liked without having to search for them again. Together, the two features show how OpenAI is expanding ChatGPT's role in shopping from answering questions and finding products to helping users visualise, compare and save potential purchases.</p>

OpenAI has introduced virtual try-on and Favorites in ChatGPT. Users can upload selfies or full-body photos to see how eligible clothes and accessories may look on them, while Favorites lets shoppers save products for later.

Online shopping is getting a new AI twist. OpenAI has introduced virtual try-on in ChatGPT, allowing users to upload a selfie or full-body photo and see how selected clothes and accessories could look on them before making a purchase. The feature is rolling out globally alongside a new Favorites tool, taking ChatGPT beyond product recommendations and towards a more visual shopping experience. How ChatGPT virtual try-on works Users can upload a photo of themselves and select the new Try On option when it appears with eligible shopping results. ChatGPT then generates an image showing the selected item on the user. There is another way to use the feature. Users can upload a screenshot of a product from a shopping website and ask ChatGPT to virtually try it on them. The feature is powered by OpenAI's ChatGPT Images 2.5 model. OpenAI says the model is better at handling lighting and textures, follows image-editing instructions more accurately and generates images with lower latency. This could be particularly useful for people who are unsure whether a particular style, colour or item will suit them. From one product to an entire outfit The tool is not limited to trying on a single item. Users can describe the kind of look they want and ask ChatGPT to find clothes and accessories that fit that style. They can also upload an image of a celebrity outfit and ask ChatGPT to find similar products that are available to buy. That turns ChatGPT into more than a traditional shopping search tool. Instead of simply finding products, it can help users explore how different pieces could work together visually. However, shoppers should remember that an AI-generated preview is not a guarantee of how an item will actually fit or look in real life. Factors such as sizing, fabric, cut and lighting can affect the final appearance. ChatGPT Favorites lets shoppers save products OpenAI is also introducing Favorites, allowing users to save products they discover while shopping through ChatGPT. Saved products will appear in the Library, alongside images generated through virtual try-on. Users can therefore return to products they liked without having to search for them again. Together, the two features show how OpenAI is expanding ChatGPT's role in shopping from answering questions and finding products to helping users visualise, compare and save potential purchases.

<p>OpenAI has introduced virtual try-on and Favorites in ChatGPT. Users can upload selfies or full-body photos to see how eligible clothes and accessories may look on them, while Favorites lets shoppers save products for later.</p>

ChatGPT gets virtual try-on feature: You can now see how clothes look on you before buying

<p>A senior OpenAI safety employee has resigned after three-and-a-half years at the company, warning that its “culture is broken” and that the risks from increasingly capable AI systems are becoming harder to manage.</p><p>&nbsp;</p><p>David Robinson said he worked on safety reports accompanying major OpenAI product launches. In an essay published by The Atlantic, he argued that the industry needs to rethink how it develops frontier AI, rather than relying mainly on rules added after problems emerge. Robinson's departure comes as OpenAI faces growing scrutiny over the behaviour of AI agents and the safeguards designed to control them.</p><p>&nbsp;</p><h2><strong>Why Robinson says OpenAI needs a different approach</strong></h2><h2>&nbsp;</h2><p>Robinson said OpenAI has relied heavily on what it calls “iterative deployment” releasing systems, finding problems and then improving their safeguards. He argues that approach becomes increasingly risky as AI models grow more capable. According to Robinson, failures are inevitable under such a system, but the consequences could become much more serious as AI agents gain the ability to carry out complex tasks with less human involvement. He pointed to the reported breach of Hugging Face systems by OpenAI agents and other discoveries involving rogue agent behaviour as examples of why stronger protections are needed. Robinson believes frontier AI companies should instead operate more like nuclear power plants or major airports, where multiple layers of safeguards are designed to prevent a single human mistake from becoming a disaster.</p><p>&nbsp;</p><h2><strong>OpenAI responds to the criticism</strong></h2><p>OpenAI disputed the suggestion that it is ignoring safety. Company spokesperson Drew Pusateri said OpenAI is strengthening security in its research and testing environments and is working to ensure that increasingly capable models remain manageable and secure. The company also said it is expanding third-party evaluations and improving real-time monitoring so potentially concerning behaviour can be identified earlier. Robinson, however, believes technical safeguards alone are not enough.</p><p>&nbsp;</p><h2><strong>Why AI alignment is becoming a bigger issue</strong></h2><p>Robinson also called for greater attention to AI alignment the challenge of ensuring advanced AI systems behave in ways that remain consistent with human goals and values. He argued that current methods for measuring whether AI systems match human values remain limited. His concerns echo warnings from other former AI researchers, including Jacob Coxon, who has also criticised the industry's approach to safety. Robinson said he ultimately concluded that external incentives for safety may be necessary because employees working inside frontier AI companies are often too focused on rapidly developing and deploying new systems to make fundamental cultural changes. His resignation adds another prominent voice to a growing debate over whether the AI industry can safely move fast enough as its technology becomes more powerful.</p>

OpenAI safety veteran David Robinson has resigned after 3.5 years, saying the company’s culture is “broken”. He warns that increasingly capable AI systems require stronger safeguards and argues that frontier AI companies need deeper cultural and external safety incentives.

A senior OpenAI safety employee has resigned after three-and-a-half years at the company, warning that its “culture is broken” and that the risks from increasingly capable AI systems are becoming harder to manage. David Robinson said he worked on safety reports accompanying major OpenAI product launches. In an essay published by The Atlantic, he argued that the industry needs to rethink how it develops frontier AI, rather than relying mainly on rules added after problems emerge. Robinson's departure comes as OpenAI faces growing scrutiny over the behaviour of AI agents and the safeguards designed to control them. Why Robinson says OpenAI needs a different approach Robinson said OpenAI has relied heavily on what it calls “iterative deployment” releasing systems, finding problems and then improving their safeguards. He argues that approach becomes increasingly risky as AI models grow more capable. According to Robinson, failures are inevitable under such a system, but the consequences could become much more serious as AI agents gain the ability to carry out complex tasks with less human involvement. He pointed to the reported breach of Hugging Face systems by OpenAI agents and other discoveries involving rogue agent behaviour as examples of why stronger protections are needed. Robinson believes frontier AI companies should instead operate more like nuclear power plants or major airports, where multiple layers of safeguards are designed to prevent a single human mistake from becoming a disaster. OpenAI responds to the criticism OpenAI disputed the suggestion that it is ignoring safety. Company spokesperson Drew Pusateri said OpenAI is strengthening security in its research and testing environments and is working to ensure that increasingly capable models remain manageable and secure. The company also said it is expanding third-party evaluations and improving real-time monitoring so potentially concerning behaviour can be identified earlier. Robinson, however, believes technical safeguards alone are not enough. Why AI alignment is becoming a bigger issue Robinson also called for greater attention to AI alignment the challenge of ensuring advanced AI systems behave in ways that remain consistent with human goals and values. He argued that current methods for measuring whether AI systems match human values remain limited. His concerns echo warnings from other former AI researchers, including Jacob Coxon, who has also criticised the industry's approach to safety. Robinson said he ultimately concluded that external incentives for safety may be necessary because employees working inside frontier AI companies are often too focused on rapidly developing and deploying new systems to make fundamental cultural changes. His resignation adds another prominent voice to a growing debate over whether the AI industry can safely move fast enough as its technology becomes more powerful.

<p>OpenAI safety veteran David Robinson has resigned after 3.5 years, saying the company’s culture is “broken”. He warns that increasingly capable AI systems require stronger safeguards and argues that frontier AI companies need deeper cultural and external safety incentives.</p>

OpenAI safety expert quits, calls for nuclear-style safeguards for AI

<p>Apple has entered the foldable smartphone market with the iPhone Duo, and Indian buyers will not have to wait long to get their hands on it. The device starts at Rs 2,99,900 in India and will be available from October 23, 2026. Pre-orders open on October 16.</p><p>The iPhone Duo is a major change for Apple’s smartphone line-up. It combines a conventional outer screen with a much larger foldable display, while retaining features such as Apple’s A20 Pro chip, ProMotion and Apple Intelligence.</p><h2>iPhone Duo price and sale date in India</h2><p>The 256GB version of the iPhone Duo costs Rs 2,99,900 in India. Apple will also offer 512GB, 1TB and 2TB variants, priced at Rs 3,24,900, Rs 3,74,900 and Rs 4,49,900 respectively. The phone comes in Star White and Night Sky finishes. Pre-orders will begin at 5:30pm IST on October 16, with sales starting October 23 through Apple and selected retail partners.</p><h2><strong>Two displays in a foldable design</strong></h2><p>The biggest attraction is the display. The iPhone Duo has a 5.4-inch outer Super Retina XDR display when folded. Open it up and users get a 7.6-inch Super Retina XDR folding display with ProMotion and Always-On functionality. Apple says the larger screen is designed for multitasking, gaming, watching content and using apps across different orientations. The phone uses a titanium frame and hinge cover, while Apple has also developed a dual-battery system and advanced thermal management for the foldable design.</p><p>&nbsp;</p><h2><strong>A20 Pro chip and 48MP cameras</strong></h2><p>Under the hood, the iPhone Duo runs on Apple’s A20 Pro chip. It has a six-core CPU, seven-core GPU and Neural Accelerators. For photography, the phone gets a 48MP Dual Fusion camera system, combining a 48MP Fusion Main camera with a 48MP Fusion Ultra Wide camera. There is also a 12MP Centre Stage front camera for selfies and video calls. Battery life is another key focus. Apple claims up to 31 hours of video playback using the inner display and up to 44 hours using the outer display. With the iPhone Duo, Apple is entering a category already dominated by foldable rivals. Its nearly Rs 3 lakh starting price makes it a premium proposition, but the launch could reshape the foldable phone market if Apple manages to bring its familiar iPhone experience into a reliable foldable design.</p>

Apple’s first foldable iPhone, iPhone Duo, starts at Rs 2,99,900 in India. Pre-orders begin October 16, with sales from October 23. It features a 7.6-inch inner display, 5.4-inch outer screen, A20 Pro chip and 48MP Dual Fusion cameras.

Apple has entered the foldable smartphone market with the iPhone Duo, and Indian buyers will not have to wait long to get their hands on it. The device starts at Rs 2,99,900 in India and will be available from October 23, 2026. Pre-orders open on October 16. The iPhone Duo is a major change for Apple’s smartphone line-up. It combines a conventional outer screen with a much larger foldable display, while retaining features such as Apple’s A20 Pro chip, ProMotion and Apple Intelligence. iPhone Duo price and sale date in India The 256GB version of the iPhone Duo costs Rs 2,99,900 in India. Apple will also offer 512GB, 1TB and 2TB variants, priced at Rs 3,24,900, Rs 3,74,900 and Rs 4,49,900 respectively. The phone comes in Star White and Night Sky finishes. Pre-orders will begin at 5:30pm IST on October 16, with sales starting October 23 through Apple and selected retail partners. Two displays in a foldable design The biggest attraction is the display. The iPhone Duo has a 5.4-inch outer Super Retina XDR display when folded. Open it up and users get a 7.6-inch Super Retina XDR folding display with ProMotion and Always-On functionality. Apple says the larger screen is designed for multitasking, gaming, watching content and using apps across different orientations. The phone uses a titanium frame and hinge cover, while Apple has also developed a dual-battery system and advanced thermal management for the foldable design. A20 Pro chip and 48MP cameras Under the hood, the iPhone Duo runs on Apple’s A20 Pro chip. It has a six-core CPU, seven-core GPU and Neural Accelerators. For photography, the phone gets a 48MP Dual Fusion camera system, combining a 48MP Fusion Main camera with a 48MP Fusion Ultra Wide camera. There is also a 12MP Centre Stage front camera for selfies and video calls. Battery life is another key focus. Apple claims up to 31 hours of video playback using the inner display and up to 44 hours using the outer display. With the iPhone Duo, Apple is entering a category already dominated by foldable rivals. Its nearly Rs 3 lakh starting price makes it a premium proposition, but the launch could reshape the foldable phone market if Apple manages to bring its familiar iPhone experience into a reliable foldable design.

<p>Apple’s first foldable iPhone, iPhone Duo, starts at Rs 2,99,900 in India. Pre-orders begin October 16, with sales from October 23. It features a 7.6-inch inner display, 5.4-inch outer screen, A20 Pro chip and 48MP Dual Fusion cameras.</p>

Thinking of buying Apple iPhone Duo? Check price, specs and sale date

<p>AI agents are becoming far more capable than traditional chatbots. They can analyse documents, manage schedules, work with emails and interact with other software with limited human intervention. But as these systems gain access to more information, a major question is becoming harder to ignore: how much of your private data should an AI agent be allowed to see?</p><p>An agent may need access to emails, files, customer information or internal company documents to complete a task. Giving it unrestricted access, however, can increase the potential impact of a security failure or an unintended action. The safest approach is simple: give an AI agent only the information and permissions it needs to complete a specific task.</p><h2><strong>Why AI agents need more data</strong></h2><p>Unlike a conventional chatbot, an AI agent can take actions on a user's behalf. That might include searching through documents, extracting information from files, organising a calendar or working with business software. This additional capability can make agents much more useful. It can also make mistakes more consequential. For example, granting an agent access to an entire email account when it only needs information from one message gives the system far more information than necessary. The same principle applies to company databases and cloud storage. Access should be restricted to the smallest useful set of files, accounts or applications.</p><h2><strong>Be especially careful with financial information</strong></h2><p>Users should be particularly cautious about sharing passwords, banking credentials, authentication information and other highly sensitive financial details with AI agents. Even when an agent appears trustworthy, unnecessary access creates another potential route through which sensitive information could be exposed. For workplaces, employees should also follow their organisation's data-security policies before connecting an AI agent to internal systems.</p><h2><strong>Prompt injection is another concern</strong></h2><p>One of the biggest security challenges for AI agents is prompt injection. In a prompt-injection attack, malicious instructions can be placed inside content that an AI system processes. An attacker may attempt to manipulate an agent into ignoring its original instructions, revealing information or carrying out an action the user did not intend. This is particularly important for agents that can access external websites, emails, documents or software. The key lesson is that AI agents should not automatically be treated as trusted users simply because they are operating on behalf of a person.</p><h2><strong>The safest way to use AI agents</strong></h2><p>Users do not necessarily need to avoid AI agents altogether. Instead, they should limit what an agent can access and what actions it can perform. Minimum necessary access, strong authentication, careful monitoring and clear workplace data policies can reduce the risks. As AI agents become more deeply integrated into everyday work, the privacy question is no longer simply what an AI model can answer. It is also what the agent can see, what it can access and what it is allowed to do.</p>

AI agents can now access emails, documents, schedules and business tools, making them more useful but also increasing privacy and security risks. Users should provide only the minimum information and permissions required, while remaining alert to threats such as prompt injection.

AI agents are becoming far more capable than traditional chatbots. They can analyse documents, manage schedules, work with emails and interact with other software with limited human intervention. But as these systems gain access to more information, a major question is becoming harder to ignore: how much of your private data should an AI agent be allowed to see? An agent may need access to emails, files, customer information or internal company documents to complete a task. Giving it unrestricted access, however, can increase the potential impact of a security failure or an unintended action. The safest approach is simple: give an AI agent only the information and permissions it needs to complete a specific task. Why AI agents need more data Unlike a conventional chatbot, an AI agent can take actions on a user's behalf. That might include searching through documents, extracting information from files, organising a calendar or working with business software. This additional capability can make agents much more useful. It can also make mistakes more consequential. For example, granting an agent access to an entire email account when it only needs information from one message gives the system far more information than necessary. The same principle applies to company databases and cloud storage. Access should be restricted to the smallest useful set of files, accounts or applications. Be especially careful with financial information Users should be particularly cautious about sharing passwords, banking credentials, authentication information and other highly sensitive financial details with AI agents. Even when an agent appears trustworthy, unnecessary access creates another potential route through which sensitive information could be exposed. For workplaces, employees should also follow their organisation's data-security policies before connecting an AI agent to internal systems. Prompt injection is another concern One of the biggest security challenges for AI agents is prompt injection. In a prompt-injection attack, malicious instructions can be placed inside content that an AI system processes. An attacker may attempt to manipulate an agent into ignoring its original instructions, revealing information or carrying out an action the user did not intend. This is particularly important for agents that can access external websites, emails, documents or software. The key lesson is that AI agents should not automatically be treated as trusted users simply because they are operating on behalf of a person. The safest way to use AI agents Users do not necessarily need to avoid AI agents altogether. Instead, they should limit what an agent can access and what actions it can perform. Minimum necessary access, strong authentication, careful monitoring and clear workplace data policies can reduce the risks. As AI agents become more deeply integrated into everyday work, the privacy question is no longer simply what an AI model can answer. It is also what the agent can see, what it can access and what it is allowed to do.

<p>AI agents can now access emails, documents, schedules and business tools, making them more useful but also increasing privacy and security risks. Users should provide only the minimum information and permissions required, while remaining alert to threats such as prompt injection.</p>

AI agents can work for you, but should they have access to everything?

<p>Deepinder Goyal’s unusual Temple wearable is moving closer to its commercial launch. The Zomato and Eternal founder has revealed six colours for the launch edition and said pre-orders could begin as early as next week.</p><p>&nbsp;</p><p>The six finishes are True Gold, Rose Gold, Black Mirror, Real Jade, Deep Blue and Purple Funk. Goyal shared images of the variants on X, while cautioning that a few details still need to be finalised before pre-orders can begin. For people already on Temple’s early-access waitlist, there is another important detail: they will receive priority access when pre-orders open.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Six colors for the launch edition of <a href="https://x.com/temple?ref_src=twsrc%5Etfw">@temple</a> <br><br>Pre-orders open soon - hopefully next week; just need certainty on a couple more items. <br><br>Folks on early access waitlist get priority access. Join the waitlist at <a href="https://t.co/hi9q1VXygW">https://t.co/hi9q1VXygW</a> <br><br>Can’t wait to get this 𝗂̶𝗇̶… <a href="https://t.co/NVktLJ16yt">pic.twitter.com/NVktLJ16yt</a></p>&mdash; Deepinder Goyal (@deepigoyal) <a href="https://x.com/deepigoyal/status/2105651782802346478?ref_src=twsrc%5Etfw">October 1, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>Temple gets six colours before launch</strong></h2><p>Until now, Temple had mostly been shown in a gold finish. The new images reveal a much wider launch palette. Goyal described the six options as the colours for the “launch edition”, leaving open the possibility that the range could change later. There is currently no confirmation that all six colours will remain available after the initial launch.</p><p>&nbsp;</p><p>The exact pre-order date has also not been announced. Goyal's wording “hopefully next week” means the timeline remains dependent on the remaining preparations.</p><h2><strong>What exactly is Deepinder Goyal’s Temple?</strong></h2><p>Temple is unlike a conventional smartwatch or smart ring. The small device is designed to sit on the side of the head, around the temple area between the forehead and ear. The company says the location allows Temple to collect signals associated with blood flow to the brain and other physiological responses. Its headline technology is called BrainFlow, which Goyal has described as a wearable system for continuously measuring cerebral blood flow. Recent validation work shared by Goyal compared BrainFlow readings with time-domain near-infrared spectroscopy (TD-NIRS). However, these findings should not be treated as established medical proof. Some of the research remains under review, and Temple is still an experimental health wearable.</p><h2><strong>When will Temple launch and how much will it cost?</strong></h2><p>Goyal has previously said the limited launch edition should begin shipping before the end of 2026. He has also said the device has become considerably smaller than earlier prototypes.</p><p>&nbsp;</p><p>The final price has not been officially confirmed.</p><p>&nbsp;</p><p>Earlier reports and comments from Goyal have pointed towards a premium price, with figures around $1,000 (roughly Rs 1 lakh) previously discussed. However, buyers should wait for the official price before treating that figure as the final retail cost. For now, the immediate development is clear: six colours have been revealed, pre-orders could begin next week, and early-access users are expected to get first access.</p>


Deepinder Goyal has revealed six launch colours for Temple, his brain-focused wearable: True Gold, Rose Gold, Black Mirror, Real Jade, Deep Blue and Purple Funk. Pre-orders could open next week, with early-access waitlist members receiving priority.

Deepinder Goyal’s unusual Temple wearable is moving closer to its commercial launch. The Zomato and Eternal founder has revealed six colours for the launch edition and said pre-orders could begin as early as next week. The six finishes are True Gold, Rose Gold, Black Mirror, Real Jade, Deep Blue and Purple Funk. Goyal shared images of the variants on X, while cautioning that a few details still need to be finalised before pre-orders can begin. For people already on Temple’s early-access waitlist, there is another important detail: they will receive priority access when pre-orders open.

<p>Deepinder Goyal has revealed six launch colours for Temple, his brain-focused wearable: True Gold, Rose Gold, Black Mirror, Real Jade, Deep Blue and Purple Funk. Pre-orders could open next week, with early-access waitlist members receiving priority.</p>

Temple to launch in six colours as Deepinder Goyal announces pre-orders next week

<p>Grand Theft Auto 6 is less than two months away from its confirmed console launch, but PC gamers may have to wait considerably longer. Rockstar Games has officially listed November 19, 2026 as the release date for PS5 and Xbox Series X|S. A PC version, however, has not been announced. That has fuelled speculation that GTA 6 could eventually arrive on PC in 2027. One circulating rumour puts the launch between December 15 and December 25, 2027. However, there is currently no official confirmation from Rockstar for that date.</p><p>&nbsp;</p><h2><strong>GTA 6 PC release date: What is actually confirmed?</strong></h2><p>Rockstar's current platform information lists only PlayStation 5 and Xbox Series X|S. The developer has not provided a PC release window. The confirmed console launch is November 19, 2026. Rockstar has also opened pre-orders for the game, including Standard and Ultimate editions. So, the widely circulated December 2027 PC date should be treated as a rumour, not a leak confirmed by Rockstar.</p><p>&nbsp;</p><h2><strong>GTA 6 PC price in India</strong></h2><p>There is already an important clue about pricing. The Xbox India store lists GTA 6 at Rs 5,999 for the Standard Edition and Rs 7,499 for the Ultimate Edition.</p><p>&nbsp;</p><p>Those are confirmed console prices, not PC prices. Some reports and social-media posts have suggested similar or higher prices for a future PC release, but Rockstar has not announced PC editions or their Indian pricing.</p><h2><strong>GTA 6 PC system requirements: Be careful with these numbers</strong></h2><p>Another major source of online speculation is the game's PC system requirements. Rumoured specifications include Windows 10/11, 8GB RAM, an Intel Core i7-8700K or Ryzen 7 3700X processor and a GTX 1080 Ti/Radeon RX 5700 XT for minimum settings. Recommended specifications circulating online include 16GB RAM, an RTX 3080 or Radeon RX 6800 XT and a more powerful processor. Rockstar has not confirmed these requirements. They should therefore not be presented as the official GTA 6 PC specs. The confirmed game is currently being prepared for PS5 and Xbox Series X|S, with Rockstar promising a large-scale return to Vice City and the wider state of Leonida. For PC players, the biggest takeaway is simple: GTA 6 is confirmed, but GTA 6 for PC is not yet officially announced. Until Rockstar provides a date and specifications, the December 2027 window and hardware requirements remain speculation.</p>

GTA 6 is confirmed for PS5 and Xbox Series X|S on November 19, 2026, but Rockstar has not announced a PC version. Rumours suggest a December 2027 PC launch, while leaked system requirements and pricing remain unconfirmed.

Grand Theft Auto 6 is less than two months away from its confirmed console launch, but PC gamers may have to wait considerably longer. Rockstar Games has officially listed November 19, 2026 as the release date for PS5 and Xbox Series X|S. A PC version, however, has not been announced. That has fuelled speculation that GTA 6 could eventually arrive on PC in 2027. One circulating rumour puts the launch between December 15 and December 25, 2027. However, there is currently no official confirmation from Rockstar for that date. GTA 6 PC release date: What is actually confirmed? Rockstar's current platform information lists only PlayStation 5 and Xbox Series X|S. The developer has not provided a PC release window. The confirmed console launch is November 19, 2026. Rockstar has also opened pre-orders for the game, including Standard and Ultimate editions. So, the widely circulated December 2027 PC date should be treated as a rumour, not a leak confirmed by Rockstar. GTA 6 PC price in India There is already an important clue about pricing. The Xbox India store lists GTA 6 at Rs 5,999 for the Standard Edition and Rs 7,499 for the Ultimate Edition. Those are confirmed console prices, not PC prices. Some reports and social-media posts have suggested similar or higher prices for a future PC release, but Rockstar has not announced PC editions or their Indian pricing. GTA 6 PC system requirements: Be careful with these numbers Another major source of online speculation is the game's PC system requirements. Rumoured specifications include Windows 10/11, 8GB RAM, an Intel Core i7-8700K or Ryzen 7 3700X processor and a GTX 1080 Ti/Radeon RX 5700 XT for minimum settings. Recommended specifications circulating online include 16GB RAM, an RTX 3080 or Radeon RX 6800 XT and a more powerful processor. Rockstar has not confirmed these requirements. They should therefore not be presented as the official GTA 6 PC specs. The confirmed game is currently being prepared for PS5 and Xbox Series X|S, with Rockstar promising a large-scale return to Vice City and the wider state of Leonida. For PC players, the biggest takeaway is simple: GTA 6 is confirmed, but GTA 6 for PC is not yet officially announced. Until Rockstar provides a date and specifications, the December 2027 window and hardware requirements remain speculation.

<p>GTA 6 is confirmed for PS5 and Xbox Series X|S on November 19, 2026, but Rockstar has not announced a PC version. Rumours suggest a December 2027 PC launch, while leaked system requirements and pricing remain unconfirmed.</p>

When will GTA 6 come to PC? Expected release date, what Rockstar has said and all details

<p>Apple could finally end one of the Mac’s longest-running omissions. The company is reportedly preparing its first touchscreen MacBook Pro, with new 14-inch and 16-inch models featuring OLED displays potentially arriving as early as October.</p><p>&nbsp;</p><p>The report comes from Bloomberg’s Mark Gurman, who said Apple could introduce the laptops in October or November. Apple is reportedly testing the machines with macOS 27.2, adding weight to speculation that the launch could be tied to the next major software update. If the reports prove accurate, the move would represent one of the biggest changes to Apple’s MacBook design philosophy in years.</p><h2><strong>Apple may finally embrace touchscreen Macs</strong></h2><p>For years, Apple has kept touchscreens largely away from macOS laptops, instead relying on the trackpad and keyboard for interaction. That could change with the new MacBook Pro. The reported models are expected to use OLED displays with touch support, while Apple is also said to be working on a thinner design. Another possible change is replacing the current display notch with a Dynamic Island-style cutout. The touchscreen models are reportedly expected to sit above Apple's existing 14-inch and 16-inch MacBook Pro models, potentially creating a new premium tier rather than immediately replacing the current range.</p><h2><strong>M5 Pro and M5 Max could power the new Macs</strong></h2><p>The biggest surprise may be that Apple could use its M5 Pro and M5 Max chips in these touchscreen models. Apple already sells MacBook Pro models with these processors. Its current 14-inch and 16-inch machines offer M5 Pro and M5 Max configurations, with up to 128GB of unified memory on certain versions. That means the reported touchscreen MacBook Pro could focus less on introducing a new processor and more on changing how users interact with the Mac. There has also been speculation about cellular connectivity, although there is currently no confirmation that the laptops will include Apple’s C1X or C2 modem.</p><h2><strong>When could Apple launch it?</strong></h2><p>The timing remains uncertain. Gurman has said the touchscreen MacBook Pro could arrive as early as October, although the launch could slip into November. Apple has not announced the product and has not confirmed any of the reported specifications. That distinction is important: the touchscreen MacBook Pro remains a reported product, not an officially announced Apple device. If Apple does launch it, however, the change could mark a new direction for the MacBook Pro bringing one of the most familiar smartphone and tablet features to Apple's flagship laptop line for the first time.</p>

Apple could launch its first touchscreen MacBook Pro as early as October, according to Bloomberg’s Mark Gurman. The reported 14-inch and 16-inch models may feature OLED displays, M5 Pro/Max chips, a thinner design and a Dynamic Island-style cutout.

Apple could finally end one of the Mac’s longest-running omissions. The company is reportedly preparing its first touchscreen MacBook Pro, with new 14-inch and 16-inch models featuring OLED displays potentially arriving as early as October. The report comes from Bloomberg’s Mark Gurman, who said Apple could introduce the laptops in October or November. Apple is reportedly testing the machines with macOS 27.2, adding weight to speculation that the launch could be tied to the next major software update. If the reports prove accurate, the move would represent one of the biggest changes to Apple’s MacBook design philosophy in years. Apple may finally embrace touchscreen Macs For years, Apple has kept touchscreens largely away from macOS laptops, instead relying on the trackpad and keyboard for interaction. That could change with the new MacBook Pro. The reported models are expected to use OLED displays with touch support, while Apple is also said to be working on a thinner design. Another possible change is replacing the current display notch with a Dynamic Island-style cutout. The touchscreen models are reportedly expected to sit above Apple's existing 14-inch and 16-inch MacBook Pro models, potentially creating a new premium tier rather than immediately replacing the current range. M5 Pro and M5 Max could power the new Macs The biggest surprise may be that Apple could use its M5 Pro and M5 Max chips in these touchscreen models. Apple already sells MacBook Pro models with these processors. Its current 14-inch and 16-inch machines offer M5 Pro and M5 Max configurations, with up to 128GB of unified memory on certain versions. That means the reported touchscreen MacBook Pro could focus less on introducing a new processor and more on changing how users interact with the Mac. There has also been speculation about cellular connectivity, although there is currently no confirmation that the laptops will include Apple’s C1X or C2 modem. When could Apple launch it? The timing remains uncertain. Gurman has said the touchscreen MacBook Pro could arrive as early as October, although the launch could slip into November. Apple has not announced the product and has not confirmed any of the reported specifications. That distinction is important: the touchscreen MacBook Pro remains a reported product, not an officially announced Apple device. If Apple does launch it, however, the change could mark a new direction for the MacBook Pro bringing one of the most familiar smartphone and tablet features to Apple's flagship laptop line for the first time.

<p>Apple could launch its first touchscreen MacBook Pro as early as October, according to Bloomberg’s Mark Gurman. The reported 14-inch and 16-inch models may feature OLED displays, M5 Pro/Max chips, a thinner design and a Dynamic Island-style cutout.</p>

Apple’s first touchscreen MacBook Pro may arrive this month: OLED display, M5 Pro/Max and more

<p>OpenAI’s GPT-6 Astra model has cracked a World War I German military code which had remained unsolved for 108 years. The message was encrypted and transmitted towards the end of the war in late 1918. The cryptic message detailed the movements of Allied forces in the Crimean Peninsula.</p><p>&nbsp;</p><p>The message was decrypted by the AI tool with the help of software developer Prinz. The decoded message is about an English cruiser on its way to Sevastopol. German military officials sent the message in code about the ship and an Allied squadron that would soon reach the region.</p><h2><strong>The cryptic code</strong></h2><p>&nbsp;The keyword used by the Germans was "TRUPPENVERSCHIEBUNG", which meant troop redeployment. The encoding was done using Germany's ADFGVX cypher, a transposition and substitution system that uses a 6x6 grid containing letters, numbers (0–9), and a secret keyword.</p><p>Also Read: <a href="https://www.wionews.com/trending/here-s-what-openai-s-apology-letter-to-australia-for-hacking-a-portal-states-1790839001886"><strong>Here's what OpenAI's apology letter to Australia for hacking a portal states</strong></a></p><p>&nbsp;</p><p>The decrypted message read: "AN ENGLISH CRUISER ARRIVED AT SEVASTOPOL ON THE [?]4TH AN ALLIED SQUADRON FOLLOWS ON THE 26TH." When cross-referenced with British naval logs, it matched perfectly with that of the HMS Canterbury and confirmed that it was heading to Sevastopol from Constantinople. This confirmed that the English cruiser did arrive in Sevastopol on November 24, 1918. This was followed by an Allied squadron reaching the site on November 26.</p><p>Also Read: <a href="https://www.wionews.com/technology/openai-launches-gpt-6-1-sol-near-astra-ai-performance-at-one-fifth-the-price-1790761979021"><strong>OpenAI launches GPT-6.1 Sol: Near-Astra AI performance at one-fifth the price</strong></a></p><h2><strong>Message sent before cypher was to become operational</strong></h2><p>Astra also found a discrepancy in the timing of the cryptic message. It identified that the cypher key was officially scheduled to enter use on December 9, 1918. However, the message that it decoded was actually sent days earlier on November 27, 1918. Historians are yet to understand the reason for this anomaly.</p><p>&nbsp;</p><p>The ADFGVX method of encoding arranges the letters “ADFGVX” horizontally and vertically next to six rows of six letters each, which start with the keyword. The final code reads like a graph with the values available on the X and Y axes.</p><p>&nbsp;</p><p>Prinz said in a statement, "I am not aware of this particular message having ever been decoded before."</p><p>&nbsp;</p><p>OpenAI calls GPT-6 Astra an "alien mind", claiming that the system is extremely sophisticated. digital. The LLM's intelligence is said to be extremely humanlike, and it can solve complex tasks.</p>

A German military message sent during World War I has been solved with the help of AI. Software developer Prinz gave the cryptic message to the GPT-6 Astra model, which solved it. When the answer was matched with historical records, it confirmed the occurrence.  

OpenAI’s GPT-6 Astra model has cracked a World War I German military code which had remained unsolved for 108 years. The message was encrypted and transmitted towards the end of the war in late 1918. The cryptic message detailed the movements of Allied forces in the Crimean Peninsula. The message was decrypted by the AI tool with the help of software developer Prinz. The decoded message is about an English cruiser on its way to Sevastopol. German military officials sent the message in code about the ship and an Allied squadron that would soon reach the region. The cryptic code The keyword used by the Germans was "TRUPPENVERSCHIEBUNG", which meant troop redeployment. The encoding was done using Germany's ADFGVX cypher, a transposition and substitution system that uses a 6x6 grid containing letters, numbers (0–9), and a secret keyword. Also Read: Here's what OpenAI's apology letter to Australia for hacking a portal states The decrypted message read: "AN ENGLISH CRUISER ARRIVED AT SEVASTOPOL ON THE [?]4TH AN ALLIED SQUADRON FOLLOWS ON THE 26TH." When cross-referenced with British naval logs, it matched perfectly with that of the HMS Canterbury and confirmed that it was heading to Sevastopol from Constantinople. This confirmed that the English cruiser did arrive in Sevastopol on November 24, 1918. This was followed by an Allied squadron reaching the site on November 26. Also Read: OpenAI launches GPT-6.1 Sol: Near-Astra AI performance at one-fifth the price Message sent before cypher was to become operational Astra also found a discrepancy in the timing of the cryptic message. It identified that the cypher key was officially scheduled to enter use on December 9, 1918. However, the message that it decoded was actually sent days earlier on November 27, 1918. Historians are yet to understand the reason for this anomaly. The ADFGVX method of encoding arranges the letters “ADFGVX” horizontally and vertically next to six rows of six letters each, which start with the keyword. The final code reads like a graph with the values available on the X and Y axes. Prinz said in a statement, "I am not aware of this particular message having ever been decoded before." OpenAI calls GPT-6 Astra an "alien mind", claiming that the system is extremely sophisticated. digital. The LLM's intelligence is said to be extremely humanlike, and it can solve complex tasks.

<p>A German military message sent during World War I has been solved with the help of AI. Software developer Prinz gave the cryptic message to the GPT-6 Astra model, which solved it. When the answer was matched with historical records, it confirmed the occurrence. &nbsp;</p>

OpenAI’s GPT-6 Astra just decrypted a World War I cryptic code 108 years later

<p>Google has taken its AI ambitions beyond Earth. The company has successfully placed a prototype satellite carrying its Tensor Processing Units (TPUs) into orbit as part of Project Suncatcher, an experimental plan to explore AI data centres in space.</p><p>&nbsp;</p><p>The refrigerator-sized satellite, built with Planet, launched aboard SpaceX's Transporter-18 rideshare mission from California on October 1. Google has confirmed contact with the spacecraft and says it is operating as expected. This is not yet a space data centre. It is a crucial test to answer a much simpler question: can Google's AI hardware actually work reliably in orbit?</p><h2><strong>Four AI chips face the ultimate test</strong></h2><p>The prototype carries four Google TPUs. They will be exposed to the radiation, vibration and thermal conditions of space while Google gathers data on their performance. Cooling is one of the biggest challenges. On Earth, data centres rely heavily on air and liquid cooling. In the vacuum of space, there is no air to carry heat away. Google therefore has to move heat from the chips to radiators that can release it into space. For the initial experiment, the TPUs will operate only in short bursts of around 15 minutes, allowing the thermal system time to manage the heat. Radiation is another concern. Google's testing indicates its TPUs can withstand radiation levels greater than those expected during a five-year space mission, although errors can still occur.</p><h2><strong>Google has a much bigger plan</strong></h2><p>The satellite is only the beginning. Google's longer-term vision involves interconnected satellites carrying AI chips and communicating using high-speed laser links. The company believes near-constant sunlight in orbit could provide significantly more solar energy than comparable systems on Earth. The next major step is planned for 2027, when Google and Planet intend to test two more purpose-built satellites and their ability to communicate with each other. Google's broader research has explored an eventual constellation of 81 satellites working together as an orbital computing system.</p><p>&nbsp;</p><h2><strong>The biggest obstacle may be getting there cheaply</strong></h2><p>The technology is only one part of the challenge. Launching enough hardware into orbit could be enormously expensive. Google's research examines whether falling launch costs could eventually make orbital computing economically viable. The company's analysis points to dramatically higher launch activity being required, including thousands of Starship-class missions over time. That is a major assumption because the required launch cadence does not exist today. For now, Suncatcher remains a research project rather than a commercial product. But Google's first TPU satellite is now in orbit, turning what was once a theoretical idea into a real-world engineering experiment.</p>

Google has launched its first Project Suncatcher prototype into orbit with four Tensor Processing Units aboard a Planet-built satellite. The mission will test AI chips against radiation, heat and spaceflight conditions as Google explores future solar-powered orbital data centres.

Google has taken its AI ambitions beyond Earth. The company has successfully placed a prototype satellite carrying its Tensor Processing Units (TPUs) into orbit as part of Project Suncatcher, an experimental plan to explore AI data centres in space. The refrigerator-sized satellite, built with Planet, launched aboard SpaceX's Transporter-18 rideshare mission from California on October 1. Google has confirmed contact with the spacecraft and says it is operating as expected. This is not yet a space data centre. It is a crucial test to answer a much simpler question: can Google's AI hardware actually work reliably in orbit? Four AI chips face the ultimate test The prototype carries four Google TPUs. They will be exposed to the radiation, vibration and thermal conditions of space while Google gathers data on their performance. Cooling is one of the biggest challenges. On Earth, data centres rely heavily on air and liquid cooling. In the vacuum of space, there is no air to carry heat away. Google therefore has to move heat from the chips to radiators that can release it into space. For the initial experiment, the TPUs will operate only in short bursts of around 15 minutes, allowing the thermal system time to manage the heat. Radiation is another concern. Google's testing indicates its TPUs can withstand radiation levels greater than those expected during a five-year space mission, although errors can still occur. Google has a much bigger plan The satellite is only the beginning. Google's longer-term vision involves interconnected satellites carrying AI chips and communicating using high-speed laser links. The company believes near-constant sunlight in orbit could provide significantly more solar energy than comparable systems on Earth. The next major step is planned for 2027, when Google and Planet intend to test two more purpose-built satellites and their ability to communicate with each other. Google's broader research has explored an eventual constellation of 81 satellites working together as an orbital computing system. The biggest obstacle may be getting there cheaply The technology is only one part of the challenge. Launching enough hardware into orbit could be enormously expensive. Google's research examines whether falling launch costs could eventually make orbital computing economically viable. The company's analysis points to dramatically higher launch activity being required, including thousands of Starship-class missions over time. That is a major assumption because the required launch cadence does not exist today. For now, Suncatcher remains a research project rather than a commercial product. But Google's first TPU satellite is now in orbit, turning what was once a theoretical idea into a real-world engineering experiment.

<p>Google has launched its first Project Suncatcher prototype into orbit with four Tensor Processing Units aboard a Planet-built satellite. The mission will test AI chips against radiation, heat and spaceflight conditions as Google explores future solar-powered orbital data centres.</p>

Google sends four AI chips into orbit as it eyes solar-powered data centres in space

<p>Google has unveiled Gemini 4 Argon, its latest frontier AI model, but most users cannot access it yet. The model is initially being rolled out to a small group of trusted cyber defenders through Google's Fairwind Programme, as the company tests its safety systems before a wider launch.</p><p>&nbsp;</p><p>The restricted release makes Argon unusual even in the fast-moving AI market. Google says the model is capable of handling complex, long-running tasks across software engineering, legal and financial work and cybersecurity.&nbsp; It also comes with a major technical upgrade: a 1 million-token maximum output limit, up from 64,000 tokens on previous Gemini models. That gives Argon considerably more room to reason through lengthy, multi-step tasks in a single run.</p><p>&nbsp;</p><h2><strong>Why Google is keeping Gemini 4 Argon restricted</strong></h2><p>Google says the phased launch is necessary because frontier AI capabilities can create new safety and security risks. The company is participating in a US government voluntary process for pre-release access and plans to use feedback from early testers to improve its guardrails. Argon has been trained for cybersecurity defence and can autonomously identify, validate and patch software vulnerabilities, according to Google. The model is already being used internally. Google says Argon agents analysed data-centre telemetry and identified memory optimisations that could free more than 300 TiB of memory once deployed, with estimated total savings of 500 TiB to 1 PiB.</p><p>&nbsp;</p><h2><strong>Gemini 4 Argon vs OpenAI and Anthropic</strong></h2><p>Google's published benchmarks show a mixed picture rather than a clean sweep. Argon scores 68.9 per cent on the Vals Index, compared with 67.0 per cent for Claude Opus 5.5. It also scores 77.9 per cent on DeepSWE v1.1, ahead of Opus 5.5's 74.2 per cent. But rivals still lead on some tasks. Claude Opus 5.5 scores 66.4 per cent on Terminal-Bench 4.0, compared with Argon's 57.4 per cent. GPT-6 Astra also leads Argon on several other evaluations, including FrontierSWE v2 and OSWorld-2.0. That means Google's results point to a highly capable model, but not one that dominates every workload.</p><p>&nbsp;</p><h2><strong>Gemini 4 Argon price and wider release</strong></h2><p>Google says Argon will initially cost $2 per million input tokens and $10 per million output tokens. Cached input is priced 95 per cent below the standard input rate. After the introductory period, prices rise to $4 and $20 respectively. For now, access remains limited to trusted cyber defenders. Google says broader availability will begin with paid API customers and Google AI Ultra subscribers before expanding further, although it has not given a specific public release date. The bigger question is therefore not simply whether Gemini 4 Argon is powerful. It is whether Google's combination of long-context reasoning, agentic capabilities and competitive pricing can turn that capability into a meaningful advantage once the model reaches more developers and businesses.</p>

Google's Gemini 4 Argon is a new frontier AI model with a 1 million-token output limit and capabilities across coding, enterprise work and cybersecurity. It is initially restricted to trusted cyber defenders, with wider access planned for developers and consumers later.

Google has unveiled Gemini 4 Argon, its latest frontier AI model, but most users cannot access it yet. The model is initially being rolled out to a small group of trusted cyber defenders through Google's Fairwind Programme, as the company tests its safety systems before a wider launch. The restricted release makes Argon unusual even in the fast-moving AI market. Google says the model is capable of handling complex, long-running tasks across software engineering, legal and financial work and cybersecurity. It also comes with a major technical upgrade: a 1 million-token maximum output limit, up from 64,000 tokens on previous Gemini models. That gives Argon considerably more room to reason through lengthy, multi-step tasks in a single run. Why Google is keeping Gemini 4 Argon restricted Google says the phased launch is necessary because frontier AI capabilities can create new safety and security risks. The company is participating in a US government voluntary process for pre-release access and plans to use feedback from early testers to improve its guardrails. Argon has been trained for cybersecurity defence and can autonomously identify, validate and patch software vulnerabilities, according to Google. The model is already being used internally. Google says Argon agents analysed data-centre telemetry and identified memory optimisations that could free more than 300 TiB of memory once deployed, with estimated total savings of 500 TiB to 1 PiB. Gemini 4 Argon vs OpenAI and Anthropic Google's published benchmarks show a mixed picture rather than a clean sweep. Argon scores 68.9 per cent on the Vals Index, compared with 67.0 per cent for Claude Opus 5.5. It also scores 77.9 per cent on DeepSWE v1.1, ahead of Opus 5.5's 74.2 per cent. But rivals still lead on some tasks. Claude Opus 5.5 scores 66.4 per cent on Terminal-Bench 4.0, compared with Argon's 57.4 per cent. GPT-6 Astra also leads Argon on several other evaluations, including FrontierSWE v2 and OSWorld-2.0. That means Google's results point to a highly capable model, but not one that dominates every workload. Gemini 4 Argon price and wider release Google says Argon will initially cost $2 per million input tokens and $10 per million output tokens. Cached input is priced 95 per cent below the standard input rate. After the introductory period, prices rise to $4 and $20 respectively. For now, access remains limited to trusted cyber defenders. Google says broader availability will begin with paid API customers and Google AI Ultra subscribers before expanding further, although it has not given a specific public release date. The bigger question is therefore not simply whether Gemini 4 Argon is powerful. It is whether Google's combination of long-context reasoning, agentic capabilities and competitive pricing can turn that capability into a meaningful advantage once the model reaches more developers and businesses.

<p>Google's Gemini 4 Argon is a new frontier AI model with a 1 million-token output limit and capabilities across coding, enterprise work and cybersecurity. It is initially restricted to trusted cyber defenders, with wider access planned for developers and consumers later.</p>

Google Gemini 4 Argon is here, but few can use its most powerful AI yet

<p>Google has unveiled Gemini 4 Argon, its latest frontier artificial intelligence model, but most people cannot use it yet.</p><p>&nbsp;</p><p>The model is initially rolling out to a group of trusted cyber defenders through Google's Fairwind Program. Google says the restricted launch is part of a phased approach to testing the model's capabilities and strengthening safeguards before wider access. Argon is designed for long, complex tasks across software engineering, finance, legal work and cybersecurity. Google says it is already being used internally, where teams have used Argon agents to analyse data-centre memory and identify optimisations that could free up more than 300 TiB of memory once deployed.</p><h2><strong>Gemini 4 Argon gets a huge 1-million-token output limit</strong></h2><p>One of the biggest changes is the model's ability to generate up to 1 million tokens in a single output, compared with 64,000 previously. That matters because Argon is designed to work through lengthy, multi-step problems rather than simply answer individual prompts. Google says its engineers are using it for debugging, algorithm design and large-scale codebase migrations. The company also says Argon achieved a 77.9% score on DeepSWE v1.1, a benchmark for long-horizon software engineering tasks. Google reported leading results in several other professional and business evaluations as well.</p><p>&nbsp;</p><p>The model has also been used for large software migrations, including work moving C/C++ code towards Rust. Google says one Argon-assisted project produced a Rust video decoder that ran 2.7 times faster than an existing Rust implementation while producing identical video output.</p><h2><strong>Its cybersecurity ability is the reason for the caution</strong></h2><p>Argon's most sensitive capability may be cybersecurity. Google says the model can find, validate and patch critical software vulnerabilities autonomously. It is already being used by cybersecurity company Wiz through its Scan for Good initiative. That ability has an obvious dual-use problem. The same technology that can help defenders discover vulnerabilities could potentially be misused to find weaknesses for malicious purposes.</p><p>Google therefore plans to provide Argon without some cyber guardrails only to trusted defenders and internal teams. The company says it is continuing work on safeguards against misuse, prompt injection and model misalignment before expanding availability.</p><h2><strong>When will Gemini 4 Argon be available and how much will it cost?</strong></h2><p>Google says Argon will eventually become available to developers, enterprises and consumers, starting with paid API customers and Google AI Ultra subscribers. The introductory API price is $2 per million input tokens and $10 per million output tokens. Cached input tokens receive a 95% discount during the introductory period. After that period, Google says pricing will rise to $4 per million input tokens and $20 per million output tokens. For now, however, Gemini 4 Argon's most powerful capabilities remain behind a controlled rollout. Google says feedback from its first group of cyber defenders and trusted testers will help determine the next stage of availability.</p>

Google has launched Gemini 4 Argon, a frontier AI model designed for complex coding, enterprise work and cybersecurity. It supports up to 1 million output tokens and can autonomously find and patch vulnerabilities, but access is initially limited to trusted cyber defenders.

Google has unveiled Gemini 4 Argon, its latest frontier artificial intelligence model, but most people cannot use it yet. The model is initially rolling out to a group of trusted cyber defenders through Google's Fairwind Program. Google says the restricted launch is part of a phased approach to testing the model's capabilities and strengthening safeguards before wider access. Argon is designed for long, complex tasks across software engineering, finance, legal work and cybersecurity. Google says it is already being used internally, where teams have used Argon agents to analyse data-centre memory and identify optimisations that could free up more than 300 TiB of memory once deployed. Gemini 4 Argon gets a huge 1-million-token output limit One of the biggest changes is the model's ability to generate up to 1 million tokens in a single output, compared with 64,000 previously. That matters because Argon is designed to work through lengthy, multi-step problems rather than simply answer individual prompts. Google says its engineers are using it for debugging, algorithm design and large-scale codebase migrations. The company also says Argon achieved a 77.9% score on DeepSWE v1.1, a benchmark for long-horizon software engineering tasks. Google reported leading results in several other professional and business evaluations as well. The model has also been used for large software migrations, including work moving C/C++ code towards Rust. Google says one Argon-assisted project produced a Rust video decoder that ran 2.7 times faster than an existing Rust implementation while producing identical video output. Its cybersecurity ability is the reason for the caution Argon's most sensitive capability may be cybersecurity. Google says the model can find, validate and patch critical software vulnerabilities autonomously. It is already being used by cybersecurity company Wiz through its Scan for Good initiative. That ability has an obvious dual-use problem. The same technology that can help defenders discover vulnerabilities could potentially be misused to find weaknesses for malicious purposes. Google therefore plans to provide Argon without some cyber guardrails only to trusted defenders and internal teams. The company says it is continuing work on safeguards against misuse, prompt injection and model misalignment before expanding availability. When will Gemini 4 Argon be available and how much will it cost? Google says Argon will eventually become available to developers, enterprises and consumers, starting with paid API customers and Google AI Ultra subscribers. The introductory API price is $2 per million input tokens and $10 per million output tokens. Cached input tokens receive a 95% discount during the introductory period. After that period, Google says pricing will rise to $4 per million input tokens and $20 per million output tokens. For now, however, Gemini 4 Argon's most powerful capabilities remain behind a controlled rollout. Google says feedback from its first group of cyber defenders and trusted testers will help determine the next stage of availability.

<p>Google has launched Gemini 4 Argon, a frontier AI model designed for complex coding, enterprise work and cybersecurity. It supports up to 1 million output tokens and can autonomously find and patch vulnerabilities, but access is initially limited to trusted cyber defenders.</p>

Gemini 4 Argon: Google’s new AI can find and fix software flaws on its own

<p>WhatsApp is rolling out new parental controls for teenagers, giving parents more ways to manage privacy settings and stay informed about their children's activity without giving them access to private chats. The move comes amid rising concerns about safety and well-being surrounding young children's use of social media, and as governments impose greater pressure on technology companies over children's online safety.<br>Meta, WhatsApp's parent company, said the new tools are designed to help parents and teens configure a safer experience together.</p><h2><strong>What can parents see on WhatsApp?</strong></h2><p>Parents will be able to receive notifications when their teenager joins or leaves a group. They can also be notified if a group the teen belongs to experiences a significant increase in membership.</p><p>WhatsApp is not, however, giving parents the ability to read their teenager's personal conversations.</p><p>The company says personal messages remain end-to-end encrypted, meaning neither WhatsApp nor a parent can read them. Calls also remain protected by end-to-end encryption.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/trending/a-global-cash-crisis-and-gold-prices-reaching-new-heights-baba-vanga-s-2027-prophecy-predicts-prices-could-cross-1790756828838"><strong>Global cash crisis and gold prices reaching new heights? Baba Vanga's 2027 prophecy predicts prices could cross...</strong></a></p><h2><strong>Privacy settings can be controlled by parents</strong></h2><p>The new tools allow parents to manage some of the privacy choices on a teen's account. These include deciding who can see the teenager's profile photo and who can add them to WhatsApp groups. Parents can also manage who their teen sees and who can see their teen's Status updates.&nbsp;</p><p>A parent-set PIN will be used when a teenager attempts to make certain privacy settings less restrictive.</p><h2><strong>Parents can restrict Channels and Meta AI</strong></h2><p>WhatsApp is also giving parents controls over its Channels feature, which allows organisations, public figures and other users to distribute updates.</p><p>Parents can choose to allow all Channels, restrict access to parent-approved Channels or prevent their teen from viewing Channels altogether. They can also decide whether the teenager is allowed to create Channels.</p><p>For Meta AI, parents can choose between the standard experience and a more restricted “Limited” setting, which limits the topics a teenager can discuss with the AI assistant.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/trending/australian-teens-defy-under-16-social-media-bans-by-using-dog-pictures-so-how-safe-are-they-1765354324465"><strong>Australian teens defy under-16 social media bans by using dog pictures. So, how 'safe' are they?</strong></a></p><h2><strong>Is the feature available in India?</strong></h2><p>Unlike some restrictions imposed directly by governments or platforms, WhatsApp's new parental controls are optional. Parents and teenagers can set them up together, with WhatsApp describing them as tools intended to support conversations about online safety and privacy.</p><p>They are being rolled out gradually, so they may not yet be available in every region.</p><h2><strong>WhatsApp minimum age remains 13</strong></h2><p>WhatsApp says users must be at least 13 years old to use the service, although the minimum age is higher in some countries. The company has also begun introducing age-verification measures for certain features and says age information can be used to provide age-appropriate experiences.</p>

WhatsApp is rolling out optional parental controls for teens, allowing parents to manage privacy settings, receive group activity alerts and restrict Channels and Meta AI. Can they read their teen's messages too? Here's all you need to know about the new WhatsApp update.

WhatsApp is rolling out new parental controls for teenagers, giving parents more ways to manage privacy settings and stay informed about their children's activity without giving them access to private chats. The move comes amid rising concerns about safety and well-being surrounding young children's use of social media, and as governments impose greater pressure on technology companies over children's online safety. Meta, WhatsApp's parent company, said the new tools are designed to help parents and teens configure a safer experience together. What can parents see on WhatsApp? Parents will be able to receive notifications when their teenager joins or leaves a group. They can also be notified if a group the teen belongs to experiences a significant increase in membership. WhatsApp is not, however, giving parents the ability to read their teenager's personal conversations. The company says personal messages remain end-to-end encrypted, meaning neither WhatsApp nor a parent can read them. Calls also remain protected by end-to-end encryption. Also read | Global cash crisis and gold prices reaching new heights? Baba Vanga's 2027 prophecy predicts prices could cross... Privacy settings can be controlled by parents The new tools allow parents to manage some of the privacy choices on a teen's account. These include deciding who can see the teenager's profile photo and who can add them to WhatsApp groups. Parents can also manage who their teen sees and who can see their teen's Status updates. A parent-set PIN will be used when a teenager attempts to make certain privacy settings less restrictive. Parents can restrict Channels and Meta AI WhatsApp is also giving parents controls over its Channels feature, which allows organisations, public figures and other users to distribute updates. Parents can choose to allow all Channels, restrict access to parent-approved Channels or prevent their teen from viewing Channels altogether. They can also decide whether the teenager is allowed to create Channels. For Meta AI, parents can choose between the standard experience and a more restricted “Limited” setting, which limits the topics a teenager can discuss with the AI assistant. Also read | Australian teens defy under-16 social media bans by using dog pictures. So, how 'safe' are they? Is the feature available in India? Unlike some restrictions imposed directly by governments or platforms, WhatsApp's new parental controls are optional. Parents and teenagers can set them up together, with WhatsApp describing them as tools intended to support conversations about online safety and privacy. They are being rolled out gradually, so they may not yet be available in every region. WhatsApp minimum age remains 13 WhatsApp says users must be at least 13 years old to use the service, although the minimum age is higher in some countries. The company has also begun introducing age-verification measures for certain features and says age information can be used to provide age-appropriate experiences.

<p>WhatsApp is rolling out optional parental controls for teens, allowing parents to manage privacy settings, receive group activity alerts and restrict Channels and Meta AI. Can they read their teen's messages too? Here's all you need to know about the new WhatsApp update.</p>

WhatsApp parental controls for teens: Can parents read messages? What they can see and change. All you need to know

technology

Technology, News on Technology, stories on Technology, articles on Technology, Technology stories at Wion, Technology news, Technology latest news

technology

Gemini Free users to lose access to powerful models as Google changes AI plans

Temple pre-orders may open next week: What makes this wearable so different

Apple could soon have a much bigger smart home ecosystem with LG partnership

Google Pixel 12 Pro Fold could get biggest screen upgrade yet, leak suggests

Can you play GTA 6 on PC via Xbox Cloud at launch?

What are OpenAI Dots and how do these always-on AI agents work?

Why every nation's growth story now depends on its talent pipeline?

Google faces £1 billion consumer lawsuit in UK over play store fees

OpenAI to show visual ads alongside ChatGPT image generation results

OpenAI reveals new way to detect ChatGPT text without visible labels

Tesla car sales show signs of recovery as deliveries beat forecasts

Crypto industry donors are paying a lot in US midterms. What do they want?

OpenAI in talks with UAE funds, BlackRock for $30 b round at $1.4t valuation

Apple changes Mac privacy controls after AI agents raise concerns over access to private data

ChatGPT can now virtually try clothes on you before you buy them

OpenAI safety expert quits, calls for nuclear-style safeguards for AI

Thinking of buying Apple iPhone Duo? Check price, specs and sale date

AI agents can work for you, but should they have access to everything?

Deepinder Goyal reveals 6 colours of Temple wearable as pre-orders near

GTA 6 PC release date leaked? Here’s what the latest rumours claim

Apple’s first touchscreen MacBook Pro may be weeks away: What we know

OpenAI’s GPT-6 Astra just decrypted a World War I cryptic code 108 years later

Google sends four AI chips into orbit, eyes solar-powered data centres in space

Google Gemini 4 Argon is here, but few can use its most powerful AI yet

Gemini 4 Argon: Google’s new AI can find and fix software flaws on its own

WhatsApp parental controls for teens: What parents can see and change