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<p>Apple’s iPhone 18 Pro Max is shaping up to be one of the biggest iPhone launches of 2026. The flagship is expected to arrive in September alongside the iPhone 18 Pro and Apple’s first foldable iPhone, although Apple has not confirmed the launch date or specifications. The biggest changes could be hidden inside the phone. Leaks point to Apple’s A20 Pro chip built using a 2nm process, a significantly larger battery and a new camera system that could finally bring variable aperture to the iPhone.</p><p>&nbsp;</p><h2><strong>iPhone 18 Pro Max camera: The biggest change?</strong></h2><p>The iPhone 18 Pro Max is expected to retain a triple-camera layout, but the main camera could receive an important upgrade. A leaked diagnostic log reportedly points to a new Sony IMX905 main sensor with variable aperture support. Variable aperture allows a camera to physically control how much light enters the lens. It can improve exposure control and give photographers more control over depth of field. The reported camera setup includes a 48MP main camera, 48MP ultra-wide camera and 48MP telephoto camera. A 24MP front camera is also widely rumoured. These details remain unconfirmed, however, and the leaked information should not be treated as Apple's final specification.</p><p>&nbsp;</p><p><strong>2nm A20 Pro chip and a much bigger battery</strong>&nbsp;</p><p><br>Under the hood, the iPhone 18 Pro Max is expected to use the A20 Pro, Apple's next-generation flagship chip. Reports suggest it will be manufactured using TSMC's 2nm process, potentially improving both performance and power efficiency compared with the current generation.</p><p>&nbsp;</p><h2><strong>The battery could be another major upgrade.</strong></h2><p>Recent regulatory filings reportedly point to a 5,567mAh rated battery capacity for the US version, while the China version is listed at 5,391mAh. That would represent a substantial increase over the iPhone 17 Pro Max. A larger battery combined with a more efficient 2nm processor could mean longer real-world battery life, although that cannot be confirmed until Apple releases the phone and independent testing begins.</p><p>&nbsp;</p><h2><strong>iPhone 18 Pro Max display, design and price</strong></h2><p>The Pro Max is expected to retain a 6.9-inch display, with rumours pointing to improved LTPO+ technology and a smaller Dynamic Island. The overall rear design is also expected to remain close to the iPhone 17 Pro generation. Apple is also expected to introduce its C2 modem in many markets, while the Pro models could receive other connectivity improvements. As for India, the leaked figure of Rs 1,52,900 for a 256GB model should be treated cautiously. There are also reports that rising component costs could push iPhone 18 Pro pricing higher. The launch is expected in September 2026, but Apple has yet to announce an official date. The standard iPhone 18 is reportedly being delayed until spring 2027, making the Pro Max one of the main stars of Apple's September event.</p>

Apple’s iPhone 18 Pro Max is expected in September 2026 with a 2nm A20 Pro chip, larger battery, 48MP cameras and a possible variable-aperture main camera. Leaks also point to a smaller Dynamic Island and a potentially higher India price.

Apple’s iPhone 18 Pro Max is shaping up to be one of the biggest iPhone launches of 2026. The flagship is expected to arrive in September alongside the iPhone 18 Pro and Apple’s first foldable iPhone, although Apple has not confirmed the launch date or specifications. The biggest changes could be hidden inside the phone. Leaks point to Apple’s A20 Pro chip built using a 2nm process, a significantly larger battery and a new camera system that could finally bring variable aperture to the iPhone. iPhone 18 Pro Max camera: The biggest change? The iPhone 18 Pro Max is expected to retain a triple-camera layout, but the main camera could receive an important upgrade. A leaked diagnostic log reportedly points to a new Sony IMX905 main sensor with variable aperture support. Variable aperture allows a camera to physically control how much light enters the lens. It can improve exposure control and give photographers more control over depth of field. The reported camera setup includes a 48MP main camera, 48MP ultra-wide camera and 48MP telephoto camera. A 24MP front camera is also widely rumoured. These details remain unconfirmed, however, and the leaked information should not be treated as Apple's final specification. 2nm A20 Pro chip and a much bigger battery Under the hood, the iPhone 18 Pro Max is expected to use the A20 Pro, Apple's next-generation flagship chip. Reports suggest it will be manufactured using TSMC's 2nm process, potentially improving both performance and power efficiency compared with the current generation. The battery could be another major upgrade. Recent regulatory filings reportedly point to a 5,567mAh rated battery capacity for the US version, while the China version is listed at 5,391mAh. That would represent a substantial increase over the iPhone 17 Pro Max. A larger battery combined with a more efficient 2nm processor could mean longer real-world battery life, although that cannot be confirmed until Apple releases the phone and independent testing begins. iPhone 18 Pro Max display, design and price The Pro Max is expected to retain a 6.9-inch display, with rumours pointing to improved LTPO+ technology and a smaller Dynamic Island. The overall rear design is also expected to remain close to the iPhone 17 Pro generation. Apple is also expected to introduce its C2 modem in many markets, while the Pro models could receive other connectivity improvements. As for India, the leaked figure of Rs 1,52,900 for a 256GB model should be treated cautiously. There are also reports that rising component costs could push iPhone 18 Pro pricing higher. The launch is expected in September 2026, but Apple has yet to announce an official date. The standard iPhone 18 is reportedly being delayed until spring 2027, making the Pro Max one of the main stars of Apple's September event.

<p>Apple’s iPhone 18 Pro Max is expected in September 2026 with a 2nm A20 Pro chip, larger battery, 48MP cameras and a possible variable-aperture main camera. Leaks also point to a smaller Dynamic Island and a potentially higher India price.</p>

iPhone 18 Pro Max could be Apple’s biggest upgrade in years: Here’s what to expect

<p>Anthropic CEO Dario Amodei believes the biggest impact of powerful artificial intelligence may not be chatbots or coding, but medicine. He has argued that AI could eventually help scientists prevent and treat most diseases, potentially accelerating decades of biological research into just a few years. Amodei recently defended this optimistic view while responding to criticism that his public messaging focuses too heavily on AI risks. He pointed to his 2024 essay Machines of Loving Grace, which laid out his vision for how advanced AI could transform biology, medicine and human health.</p><p>&nbsp;</p><h2><strong>How AI could speed up medical discoveries</strong></h2><p>Amodei's argument goes beyond using AI to analyse medical records or scientific papers. He believes powerful AI could eventually perform, direct and improve much of the work currently done by biologists. That could include proposing hypotheses, designing experiments, analysing results and deciding what researchers should test next. His central prediction is striking: powerful AI could increase the rate of important biological discoveries by at least 10 times, potentially delivering what would otherwise have been 50 to 100 years of progress within five to 10 years. The idea is already influencing Anthropic's work. The company launched an AI for Science programme focused on helping researchers use its models for biology, genetic research and drug discovery.</p><p>&nbsp;</p><h2><strong>Cancer, Alzheimer’s and other diseases</strong></h2><p>In his essay, Amodei outlined several areas where he believes AI-accelerated science could make a major difference.</p><p>&nbsp;</p><p>These include better prevention and treatment of infectious diseases, major advances against cancer, cures for genetic disorders and improved treatment for conditions such as heart disease and diabetes. He also identified Alzheimer's disease as a problem that could benefit from better biological measurement and understanding. More radically, he suggested that breakthroughs in ageing research could eventually contribute to a major increase in human lifespan. But these are forecasts, not established medical outcomes. Even extremely capable AI cannot instantly remove the need for laboratory experiments, clinical trials, manufacturing and regulatory approval.</p><p>&nbsp;</p><h2><strong>Why Amodei says this matters personally</strong></h2><p>For Amodei, the argument is not purely theoretical. He has spoken about losing his father to hepatitis C only a few years before direct-acting antiviral drugs became available. Modern treatments such as sofosbuvir can cure most patients with hepatitis C.</p><p>&nbsp;</p><p>That experience shapes his belief that timing matters in medical research. A breakthrough arriving years earlier can determine whether a patient gets a chance to benefit from it. The more immediate reality is more measured. In 2026, AI is already being used to help researchers analyse biological data, generate hypotheses and accelerate drug discovery, but Amodei himself has acknowledged that his earlier vision of achieving 10 years of scientific progress every year has not yet been realised. Researchers still face limits involving model capability, laboratory infrastructure, regulation and the physical speed of experiments. The question, then, is no longer simply whether AI can help scientists. It is how much faster science can move when AI becomes capable of doing far more of the research itself.</p>

Anthropic CEO Dario Amodei believes powerful AI could dramatically accelerate biological research, potentially compressing decades of medical progress into just a few years. But the prediction is a long-term vision, not a promise that AI will cure diseases on a fixed timeline.

Anthropic CEO Dario Amodei believes the biggest impact of powerful artificial intelligence may not be chatbots or coding, but medicine. He has argued that AI could eventually help scientists prevent and treat most diseases, potentially accelerating decades of biological research into just a few years. Amodei recently defended this optimistic view while responding to criticism that his public messaging focuses too heavily on AI risks. He pointed to his 2024 essay Machines of Loving Grace, which laid out his vision for how advanced AI could transform biology, medicine and human health. How AI could speed up medical discoveries Amodei's argument goes beyond using AI to analyse medical records or scientific papers. He believes powerful AI could eventually perform, direct and improve much of the work currently done by biologists. That could include proposing hypotheses, designing experiments, analysing results and deciding what researchers should test next. His central prediction is striking: powerful AI could increase the rate of important biological discoveries by at least 10 times, potentially delivering what would otherwise have been 50 to 100 years of progress within five to 10 years. The idea is already influencing Anthropic's work. The company launched an AI for Science programme focused on helping researchers use its models for biology, genetic research and drug discovery. Cancer, Alzheimer’s and other diseases In his essay, Amodei outlined several areas where he believes AI-accelerated science could make a major difference. These include better prevention and treatment of infectious diseases, major advances against cancer, cures for genetic disorders and improved treatment for conditions such as heart disease and diabetes. He also identified Alzheimer's disease as a problem that could benefit from better biological measurement and understanding. More radically, he suggested that breakthroughs in ageing research could eventually contribute to a major increase in human lifespan. But these are forecasts, not established medical outcomes. Even extremely capable AI cannot instantly remove the need for laboratory experiments, clinical trials, manufacturing and regulatory approval. Why Amodei says this matters personally For Amodei, the argument is not purely theoretical. He has spoken about losing his father to hepatitis C only a few years before direct-acting antiviral drugs became available. Modern treatments such as sofosbuvir can cure most patients with hepatitis C. That experience shapes his belief that timing matters in medical research. A breakthrough arriving years earlier can determine whether a patient gets a chance to benefit from it. The more immediate reality is more measured. In 2026, AI is already being used to help researchers analyse biological data, generate hypotheses and accelerate drug discovery, but Amodei himself has acknowledged that his earlier vision of achieving 10 years of scientific progress every year has not yet been realised. Researchers still face limits involving model capability, laboratory infrastructure, regulation and the physical speed of experiments. The question, then, is no longer simply whether AI can help scientists. It is how much faster science can move when AI becomes capable of doing far more of the research itself.

<p>Anthropic CEO Dario Amodei believes powerful AI could dramatically accelerate biological research, potentially compressing decades of medical progress into just a few years. But the prediction is a long-term vision, not a promise that AI will cure diseases on a fixed timeline.</p>

100 years of medical progress in just 10, Anthropic CEO Dario Amodei says

<p>&nbsp;</p><p>Anthropic has started watermarking text generated by Claude, but users will not see any obvious mark. Instead, the AI company is embedding an invisible statistical pattern into the way Claude chooses words. That pattern can later be analysed to estimate whether Claude produced the text. The move is significant because it could make AI-generated text easier to identify without changing how it looks to readers. Anthropic says the system is being introduced globally as it responds to transparency requirements under the European Union's AI Act.</p><p>&nbsp;</p><h2><strong>How does Claude's invisible watermark work?</strong></h2><p>Claude generates text one token at a time. At many points, several words could fit naturally into a sentence. Anthropic's system uses those choices to create a statistical fingerprint. A secret key influences which suitable token Claude selects, subtly changing the distribution of words without adding visible characters or labels. A sufficiently long passage can therefore contain a pattern that a detector can test against the key. The result is a probability that Claude was involved in producing the text, rather than a simple visible stamp. Anthropic says the watermark should not noticeably affect the quality, creativity or readability of Claude's responses. The approach is related to SynthID-Text, a watermarking technique developed by Google DeepMind and described in research published in Nature.</p><p>&nbsp;</p><h2><strong>Can the watermark identify a Claude user?</strong></h2><p>Not by itself. The watermark is designed to indicate that Claude was involved in generating or processing text. It is not a name tag containing the user's identity. It also does not prove that every word was written by AI. The system works statistically, so detection depends on having enough text and a detectable signal.</p><p>This distinction matters for students, journalists, researchers and professionals who use Claude as an editing or writing assistant. Anthropic has also acknowledged limitations. Highly precise passages, including some factual statements and code, give the model fewer opportunities to alter token choices without risking accuracy. That means the watermark may be weaker in such material.</p><p>&nbsp;</p><h2><strong>What happens if you edit Claude's text?</strong></h2><p>The watermark is designed to survive common actions such as copying, pasting and minor editing or proofreading. But it is not an unbreakable digital seal. Major rewriting can disrupt the statistical pattern. An important limitation is also the reverse: text without a detectable watermark cannot automatically be considered human-written.</p><p>Anthropic says it plans to provide detection tools, including an API that can allow users and third parties to check for the watermark. The bigger change is clear: AI companies are moving towards systems where generated content can carry an invisible digital identity, potentially making AI provenance a normal part of writing online.</p>

Anthropic is adding invisible statistical watermarks to Claude-generated text. The hidden pattern can help detect whether Claude was involved, even after minor edits. The move is linked to EU AI transparency rules and is being applied globally.

Anthropic has started watermarking text generated by Claude, but users will not see any obvious mark. Instead, the AI company is embedding an invisible statistical pattern into the way Claude chooses words. That pattern can later be analysed to estimate whether Claude produced the text. The move is significant because it could make AI-generated text easier to identify without changing how it looks to readers. Anthropic says the system is being introduced globally as it responds to transparency requirements under the European Union's AI Act. How does Claude's invisible watermark work? Claude generates text one token at a time. At many points, several words could fit naturally into a sentence. Anthropic's system uses those choices to create a statistical fingerprint. A secret key influences which suitable token Claude selects, subtly changing the distribution of words without adding visible characters or labels. A sufficiently long passage can therefore contain a pattern that a detector can test against the key. The result is a probability that Claude was involved in producing the text, rather than a simple visible stamp. Anthropic says the watermark should not noticeably affect the quality, creativity or readability of Claude's responses. The approach is related to SynthID-Text, a watermarking technique developed by Google DeepMind and described in research published in Nature. Can the watermark identify a Claude user? Not by itself. The watermark is designed to indicate that Claude was involved in generating or processing text. It is not a name tag containing the user's identity. It also does not prove that every word was written by AI. The system works statistically, so detection depends on having enough text and a detectable signal. This distinction matters for students, journalists, researchers and professionals who use Claude as an editing or writing assistant. Anthropic has also acknowledged limitations. Highly precise passages, including some factual statements and code, give the model fewer opportunities to alter token choices without risking accuracy. That means the watermark may be weaker in such material. What happens if you edit Claude's text? The watermark is designed to survive common actions such as copying, pasting and minor editing or proofreading. But it is not an unbreakable digital seal. Major rewriting can disrupt the statistical pattern. An important limitation is also the reverse: text without a detectable watermark cannot automatically be considered human-written. Anthropic says it plans to provide detection tools, including an API that can allow users and third parties to check for the watermark. The bigger change is clear: AI companies are moving towards systems where generated content can carry an invisible digital identity, potentially making AI provenance a normal part of writing online.

<p>Anthropic is adding invisible statistical watermarks to Claude-generated text. The hidden pattern can help detect whether Claude was involved, even after minor edits. The move is linked to EU AI transparency rules and is being applied globally.</p>

Claude now has an invisible watermark: What Anthropic's new AI text system means

<p>Google is bringing its new Fitbit Air fitness tracker to India in October 2026, giving users a different take on wearable health tracking. Unlike a smartwatch or traditional fitness band, Fitbit Air has no screen. Instead, it quietly collects health and activity data while users view their information through the Google Health app. Google has not yet announced the exact Indian price or launch date. In the US, Fitbit Air starts at $99.99, while Indian retail listings have appeared at considerably higher prices, so the final official price will be important for buyers.</p><p>&nbsp;</p><h2>Fitbit Air has no screen and that is the point</h2><p>Fitbit Air is designed to be worn continuously without the distractions of a display. It weighs about 5.2 grams without the band and uses a textile band with a stainless-steel buckle. The tracker itself is made partly from recycled polycarbonate and PBT plastics. The device packs an optical heart-rate monitor, a three-axis accelerometer and gyroscope, red and infrared sensors for SpO2 tracking, a temperature sensor and a vibration motor. It can store seven days of detailed motion data, with heart-rate readings recorded at two-second intervals.</p><p>&nbsp;</p><h2><strong>What can Fitbit Air track?</strong></h2><p>The tracker supports 24/7 heart-rate monitoring, resting heart rate, heart-rate variability, SpO2, sleep stages and sleep duration. It can also track steps, distance, calories and Active Zone Minutes. Google says Fitbit Air can monitor heart rhythm while users are resting or sleeping and look for signs associated with atrial fibrillation. The wearable also works with Google's Health Coach, which uses Gemini to provide personalised fitness and sleep guidance. Some coaching features require a Google Health Premium membership.</p><p>&nbsp;</p><h2><strong>Seven-day battery and Android, iPhone support</strong></h2><p>Battery life is rated at up to seven days, with a full charge taking about 90 minutes. Google also says five minutes of charging can provide up to a day's battery life. Fitbit Air supports Android 11 or newer and iOS 16.4 or newer, with Bluetooth Low Energy connectivity and a syncing range of up to 30 feet. For Indian buyers, the biggest question now is price. Google has confirmed the October launch, but until the company announces the official Indian price, the figures seen on online listings should not be treated as final.</p>

Google will launch Fitbit Air in India in October 2026. The screenless fitness tracker offers 24/7 heart-rate tracking, SpO2, sleep monitoring and up to seven days of battery life. Google has not yet announced the official Indian price or exact launch date.

Google is bringing its new Fitbit Air fitness tracker to India in October 2026, giving users a different take on wearable health tracking. Unlike a smartwatch or traditional fitness band, Fitbit Air has no screen. Instead, it quietly collects health and activity data while users view their information through the Google Health app. Google has not yet announced the exact Indian price or launch date. In the US, Fitbit Air starts at $99.99, while Indian retail listings have appeared at considerably higher prices, so the final official price will be important for buyers. Fitbit Air has no screen and that is the point Fitbit Air is designed to be worn continuously without the distractions of a display. It weighs about 5.2 grams without the band and uses a textile band with a stainless-steel buckle. The tracker itself is made partly from recycled polycarbonate and PBT plastics. The device packs an optical heart-rate monitor, a three-axis accelerometer and gyroscope, red and infrared sensors for SpO2 tracking, a temperature sensor and a vibration motor. It can store seven days of detailed motion data, with heart-rate readings recorded at two-second intervals. What can Fitbit Air track? The tracker supports 24/7 heart-rate monitoring, resting heart rate, heart-rate variability, SpO2, sleep stages and sleep duration. It can also track steps, distance, calories and Active Zone Minutes. Google says Fitbit Air can monitor heart rhythm while users are resting or sleeping and look for signs associated with atrial fibrillation. The wearable also works with Google's Health Coach, which uses Gemini to provide personalised fitness and sleep guidance. Some coaching features require a Google Health Premium membership. Seven-day battery and Android, iPhone support Battery life is rated at up to seven days, with a full charge taking about 90 minutes. Google also says five minutes of charging can provide up to a day's battery life. Fitbit Air supports Android 11 or newer and iOS 16.4 or newer, with Bluetooth Low Energy connectivity and a syncing range of up to 30 feet. For Indian buyers, the biggest question now is price. Google has confirmed the October launch, but until the company announces the official Indian price, the figures seen on online listings should not be treated as final.

<p>Google will launch Fitbit Air in India in October 2026. The screenless fitness tracker offers 24/7 heart-rate tracking, SpO2, sleep monitoring and up to seven days of battery life. Google has not yet announced the official Indian price or exact launch date.</p>

Google Fitbit Air coming to India in October: Check features, battery and sensors

<p>&nbsp;</p><p>Google is taking its health tracking ambitions a step further with Health Guardian, a new set of features designed to spot subtle changes in the body that may not be obvious day to day. The tools are coming to the Google Health app for eligible Pixel Watch and Fitbit devices. Google says they can work quietly in the background around the clock, analysing physiological data and highlighting important changes over time. The idea is different from simply checking today's heart rate or number of steps. Health Guardian is designed to look for longer-term patterns and present them in monthly summaries, with notifications when a feature detects something that may need attention.</p><p>&nbsp;</p><h2><strong>What can Google Health Guardian track?</strong></h2><p>Google is introducing four Health Guardian features. Insulin resistance trends analyse multi-week physiological data to track changes in metabolic health without requiring a blood sample, according to Google. Blood pressure trends use pulse and movement patterns collected over time to estimate changes without requiring a traditional blood-pressure cuff. There is also sleep breathing quality, which looks at breathing patterns during sleep and shows how much of the night was spent with optimal breathing. The fourth feature is breathing emergency detection. It is designed to detect a critical drop in blood oxygen and, if the person becomes unresponsive, can automatically contact emergency services and emergency contacts. Google says this feature is limited to Pixel Watch and select European countries.</p><p>&nbsp;</p><h2><strong>AI is doing the heavy lifting</strong></h2><p>Google says its health models were trained using sensor data from millions of opted-in users. Its insulin-resistance model was trained on more than one trillion minutes of data from 5 million opted-in users, while its blood-pressure model was trained using billions of minutes of heart and movement data. Google says the features have also undergone clinical validation using established measurement methods. The company says research supporting the insulin-resistance technology has been published in Nature.</p><p>&nbsp;</p><h2><strong>But Google says this is not a medical diagnosis</strong></h2><p>There is an important limitation. Google says Health Guardian features are intended for general wellness and information, not for diagnosing or treating medical conditions. The company specifically says insulin-resistance and blood-pressure trends should not be treated as real-time clinical readings or used to change medication or treatment plans. Users should consult healthcare professionals about medical concerns. The features are coming soon, with availability depending on the device and region. Google Health Coach can also help users understand the information, although it requires a Google Health Premium subscription or an eligible Google AI Pro or Ultra plan.</p>

Google's new Health Guardian features will use Pixel Watch and Fitbit data to track subtle changes in insulin resistance, blood pressure and sleep breathing. The tools provide longer-term health insights, but Google says they are for wellness and are not medical diagnostic tools.

Google is taking its health tracking ambitions a step further with Health Guardian, a new set of features designed to spot subtle changes in the body that may not be obvious day to day. The tools are coming to the Google Health app for eligible Pixel Watch and Fitbit devices. Google says they can work quietly in the background around the clock, analysing physiological data and highlighting important changes over time. The idea is different from simply checking today's heart rate or number of steps. Health Guardian is designed to look for longer-term patterns and present them in monthly summaries, with notifications when a feature detects something that may need attention. What can Google Health Guardian track? Google is introducing four Health Guardian features. Insulin resistance trends analyse multi-week physiological data to track changes in metabolic health without requiring a blood sample, according to Google. Blood pressure trends use pulse and movement patterns collected over time to estimate changes without requiring a traditional blood-pressure cuff. There is also sleep breathing quality, which looks at breathing patterns during sleep and shows how much of the night was spent with optimal breathing. The fourth feature is breathing emergency detection. It is designed to detect a critical drop in blood oxygen and, if the person becomes unresponsive, can automatically contact emergency services and emergency contacts. Google says this feature is limited to Pixel Watch and select European countries. AI is doing the heavy lifting Google says its health models were trained using sensor data from millions of opted-in users. Its insulin-resistance model was trained on more than one trillion minutes of data from 5 million opted-in users, while its blood-pressure model was trained using billions of minutes of heart and movement data. Google says the features have also undergone clinical validation using established measurement methods. The company says research supporting the insulin-resistance technology has been published in Nature. But Google says this is not a medical diagnosis There is an important limitation. Google says Health Guardian features are intended for general wellness and information, not for diagnosing or treating medical conditions. The company specifically says insulin-resistance and blood-pressure trends should not be treated as real-time clinical readings or used to change medication or treatment plans. Users should consult healthcare professionals about medical concerns. The features are coming soon, with availability depending on the device and region. Google Health Coach can also help users understand the information, although it requires a Google Health Premium subscription or an eligible Google AI Pro or Ultra plan.

<p>Google's new Health Guardian features will use Pixel Watch and Fitbit data to track subtle changes in insulin resistance, blood pressure and sleep breathing. The tools provide longer-term health insights, but Google says they are for wellness and are not medical diagnostic tools.</p>

Google's AI health tool could give Pixel Watch users health updates without a blood test

<p>Google DeepMind has unveiled a new AI system that could change how Deaf and hard-of-hearing people interact with their phones. SL2T, short for sign-language-to-text, can convert sign language into text and is coming first to Pixel 11. The model will power new features in Gboard and Live Transcribe, allowing users to sign in places where they would normally type. Google says the first supported language pair will be American Sign Language (ASL) to English, with more languages and devices planned.</p><p>The announcement is significant because Google is moving sign-language AI beyond a research demonstration and into a consumer product. Google DeepMind describes SL2T as a breakthrough model designed specifically for Deaf and hard-of-hearing users.</p><p>&nbsp;</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">SL2T is our breakthrough sign language-to-text model powering new features for Deaf and hard of hearing users on <a href="https://x.com/Android?ref_src=twsrc%5Etfw">@Android</a>.<br><br>Starting with American Sign Language-to-English on Pixel 11, people can sign directly into Gboard and Live Transcribe instead of typing. <a href="https://t.co/p9Vx7tJtLT">pic.twitter.com/p9Vx7tJtLT</a></p>&mdash; Google DeepMind (@GoogleDeepMind) <a href="https://x.com/GoogleDeepMind/status/2087541213284946191?ref_src=twsrc%5Etfw">August 12, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>How Google's sign-language AI works</strong></h2><p>SL2T is designed to understand more than individual hand gestures. Sign language also relies on movement, facial expressions and other parts of the body, making it much harder for AI to interpret than a simple gesture-recognition system. The model can turn signing into text that users can then use for everyday tasks. That includes searching the web, writing messages or documents, and interacting with Gemini. In Live Transcribe, users can also sign responses during conversations rather than repeatedly typing them out. Google says the system was developed with input from members of the Deaf community, helping the technology address real-world signing rather than relying only on laboratory demonstrations.</p><p>&nbsp;</p><h2><strong>Designed for real-world signing</strong></h2><p>One challenge is that people do not always sign in perfect conditions. A user may be holding a phone, change their position or sign with one hand.</p><p>Google's model has been designed to handle such situations, according to details shared around the launch. It also considers facial and body movements that carry meaning in sign language. The system's approach is particularly important because sign languages are full languages, not simply hand gestures translated word-for-word into English.</p><p>&nbsp;</p><h2><strong>Pixel 11 is only the beginning</strong></h2><p>SL2T will initially support ASL-to-English on Pixel 11, but Google says the technology will expand to additional devices and languages.</p><p>That could eventually make sign-language input a more common part of Android, rather than a specialist accessibility feature. Google's broader AI strategy is increasingly focused on making models interact with the physical world and different forms of human communication. Its Gemini family already supports multimodal inputs such as text, images, video and audio. With SL2T, Google is adding another form of communication to that list giving users a way to communicate with a phone through sign language rather than speech or typing.</p><p>&nbsp;</p>

Google DeepMind has introduced SL2T, a sign-language-to-text AI model coming first to Pixel 11. It will let Deaf and hard-of-hearing users sign directly into Gboard and Live Transcribe for tasks such as searching, messaging and interacting with Gemini.


Google DeepMind has unveiled a new AI system that could change how Deaf and hard-of-hearing people interact with their phones. SL2T, short for sign-language-to-text, can convert sign language into text and is coming first to Pixel 11. The model will power new features in Gboard and Live Transcribe, allowing users to sign in places where they would normally type. Google says the first supported language pair will be American Sign Language (ASL) to English, with more languages and devices planned. The announcement is significant because Google is moving sign-language AI beyond a research demonstration and into a consumer product. Google DeepMind describes SL2T as a breakthrough model designed specifically for Deaf and hard-of-hearing users.

<p>Google DeepMind has introduced SL2T, a sign-language-to-text AI model coming first to Pixel 11. It will let Deaf and hard-of-hearing users sign directly into Gboard and Live Transcribe for tasks such as searching, messaging and interacting with Gemini.</p>

Google DeepMind unveils AI that can understand sign language

<p>For centuries, people preserved memories through photographs, letters and home videos. Now, artificial intelligence is changing that. Today, a growing number of companies offer to recreate deceased people as interactive chatbots, voice clones or even lifelike video avatars that can hold conversations with family members.</p><p>Supporters of the technology see these AI replicas as a new way to remember loved ones. Critics, meanwhile, warn that these AI avatars blur the line between memory and simulation, raising difficult questions about grief, consent, privacy and ownership. WION decodes the latest AI-related ethical conundrum.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/trending/advances-in-artificial-intelligence-mean-deadbots-can-haunt-users-warn-ai-experts-heres-what-it-means-719542"><strong>Advances in artificial intelligence mean 'deadbots' can 'haunt' the living, warn experts. Here's what it means</strong></a></p><h2><strong>How are AI companies creating digital versions of dead people?</strong></h2><p>The technology works by combining multiple forms of personal data left behind during a person's lifetime.</p><p>Researchers describe these systems, often called "digital ghosts" or "griefbots", as AI models built from a person's digital traces, including photographs, videos, voice recordings, emails, text messages, interviews, social media posts and memories shared by relatives.</p><p>Voice cloning technology analyses recordings to reproduce a person's pronunciation, pitch, rhythm, accent and speaking style. Instead of replaying existing recordings, AI generates entirely new speech in the same voice. Reuters reported one case in which a man recreated his deceased father's voice from a single audio message.</p><p>Facial animation has also advanced rapidly. Microsoft's VASA-1 research showed that a single photograph combined with an audio clip can generate realistic talking faces with synchronised lip movements, facial expressions and natural head movements. The company said the research is intended to advance avatar technology and was not released as a public product.</p><p>Many commercial services combine these technologies with large language models that learn a person's communication style and memories, allowing an avatar to respond to new questions in real time.</p><p>One such service, Afterlife AI, offers a service where users can themselves preserve their voice, memories, values and stories while alive and decide who can access their digital persona after death.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/technology/death-is-only-the-beginning-meta-patents-technology-that-ll-let-ai-run-your-social-media-from-beyond-the-grave-wion-explains-1771304178081"><strong>Death is only the beginning? Meta patents tech that'll let AI run your social media from beyond the grave | WION Explains</strong></a></p><h2><strong>Who owns your voice, photographs and digital identity after death?</strong></h2><p>The legal answer is far from straightforward. According to India's Copyright Act, there is no single legal right covering a deceased person's entire digital identity. Different parts of someone's online presence are governed by different laws.</p><blockquote><p>For instance:</p><ul><li>A photograph is not automatically owned by the person appearing in it. Copyright usually belongs to the photographer unless specific legal exceptions apply.</li><li>Copyright in literary, artistic, musical and other protected works generally continues for 60 years after the author's death under the Copyright Act, 1957.</li><li>Voice recordings can themselves qualify as copyright-protected sound recordings.</li></ul></blockquote><p>This means that AI companies may own the software used to generate an avatar, but that does not automatically give them ownership of the deceased person's identity, likeness or personal history.</p><p>Notably, India currently has no dedicated law governing AI-generated replicas of deceased individuals, meaning disputes could involve copyright, contractual agreements, privacy principles and inheritance laws depending on the circumstances.</p><h2><strong>Can AI help people cope with grief?</strong></h2><p>Researchers say the answer is complicated. Several recent studies suggest AI grief technologies can provide emotional comfort by allowing users to maintain a sense of connection with someone who has died. Participants reported using griefbots to express unresolved emotions, revisit memories or have private conversations they felt unable to share with others.</p><p>A 2026 systematic review examining 30 studies on digital grief technologies, including AI chatbots, digital replicas, virtual reality memorials and online remembrance platforms, found potential benefits such as reduced grief symptoms, increased emotional support and greater accessibility to bereavement tools. However, the research published in <a href="https://www.sciencedirect.com/science/article/pii/S2451958826002228">Science Direct</a> also identified significant risks. "This form of digital grief technology can create an illusion, causing the bereaved to develop unhealthy attachments to the digital representations of the deceased as a form of support or closure. Therefore, such attachments could interfere with their ability to engage in a healthy grieving process. Similarly, generative AI chatbots were also found to be at risk of causing overreliance as this technology enabled the bereaved to sustain a continuous bond with the deceased, which can hinder their recovery process," it found.</p><p>Researchers have also warned that prolonged interaction with AI replicas could interfere with the natural grieving process by making it harder for some people to accept a loved one's death. Concerns about psychological dependence have become one of the central ethical debates surrounding griefbots.</p><p><i>Here's a question for you, the reader: Would you opt to create a griefbot to help you deal with the death of a loved one or leave behind an AI replica of yourself to help them after your passing?</i></p>

AI can now use a person's photos, videos, voice recordings and messages to create digital replicas that can talk and respond like them. But as "griefbots" gain attention, questions around consent, ownership, privacy and the grieving process are becoming harder to ignore. WION Decodes.

For centuries, people preserved memories through photographs, letters and home videos. Now, artificial intelligence is changing that. Today, a growing number of companies offer to recreate deceased people as interactive chatbots, voice clones or even lifelike video avatars that can hold conversations with family members. Supporters of the technology see these AI replicas as a new way to remember loved ones. Critics, meanwhile, warn that these AI avatars blur the line between memory and simulation, raising difficult questions about grief, consent, privacy and ownership. WION decodes the latest AI-related ethical conundrum. Also read | Advances in artificial intelligence mean 'deadbots' can 'haunt' the living, warn experts. Here's what it means How are AI companies creating digital versions of dead people? The technology works by combining multiple forms of personal data left behind during a person's lifetime. Researchers describe these systems, often called "digital ghosts" or "griefbots", as AI models built from a person's digital traces, including photographs, videos, voice recordings, emails, text messages, interviews, social media posts and memories shared by relatives. Voice cloning technology analyses recordings to reproduce a person's pronunciation, pitch, rhythm, accent and speaking style. Instead of replaying existing recordings, AI generates entirely new speech in the same voice. Reuters reported one case in which a man recreated his deceased father's voice from a single audio message. Facial animation has also advanced rapidly. Microsoft's VASA-1 research showed that a single photograph combined with an audio clip can generate realistic talking faces with synchronised lip movements, facial expressions and natural head movements. The company said the research is intended to advance avatar technology and was not released as a public product. Many commercial services combine these technologies with large language models that learn a person's communication style and memories, allowing an avatar to respond to new questions in real time. One such service, Afterlife AI, offers a service where users can themselves preserve their voice, memories, values and stories while alive and decide who can access their digital persona after death. Also read | Death is only the beginning? Meta patents tech that'll let AI run your social media from beyond the grave | WION Explains Who owns your voice, photographs and digital identity after death? The legal answer is far from straightforward. According to India's Copyright Act, there is no single legal right covering a deceased person's entire digital identity. Different parts of someone's online presence are governed by different laws. For instance: A photograph is not automatically owned by the person appearing in it. Copyright usually belongs to the photographer unless specific legal exceptions apply. Copyright in literary, artistic, musical and other protected works generally continues for 60 years after the author's death under the Copyright Act, 1957. Voice recordings can themselves qualify as copyright-protected sound recordings. This means that AI companies may own the software used to generate an avatar, but that does not automatically give them ownership of the deceased person's identity, likeness or personal history. Notably, India currently has no dedicated law governing AI-generated replicas of deceased individuals, meaning disputes could involve copyright, contractual agreements, privacy principles and inheritance laws depending on the circumstances. Can AI help people cope with grief? Researchers say the answer is complicated. Several recent studies suggest AI grief technologies can provide emotional comfort by allowing users to maintain a sense of connection with someone who has died. Participants reported using griefbots to express unresolved emotions, revisit memories or have private conversations they felt unable to share with others. A 2026 systematic review examining 30 studies on digital grief technologies, including AI chatbots, digital replicas, virtual reality memorials and online remembrance platforms, found potential benefits such as reduced grief symptoms, increased emotional support and greater accessibility to bereavement tools. However, the research published in Science Direct also identified significant risks. "This form of digital grief technology can create an illusion, causing the bereaved to develop unhealthy attachments to the digital representations of the deceased as a form of support or closure. Therefore, such attachments could interfere with their ability to engage in a healthy grieving process. Similarly, generative AI chatbots were also found to be at risk of causing overreliance as this technology enabled the bereaved to sustain a continuous bond with the deceased, which can hinder their recovery process," it found. Researchers have also warned that prolonged interaction with AI replicas could interfere with the natural grieving process by making it harder for some people to accept a loved one's death. Concerns about psychological dependence have become one of the central ethical debates surrounding griefbots. Here's a question for you, the reader: Would you opt to create a griefbot to help you deal with the death of a loved one or leave behind an AI replica of yourself to help them after your passing?

<p>AI can now use a person's photos, videos, voice recordings and messages to create digital replicas that can talk and respond like them. But as "griefbots" gain attention, questions around consent, ownership, privacy and the grieving process are becoming harder to ignore. WION Decodes.</p>

AI can now recreate the dead. But who owns your 'digital ghost' when you're gone? | WION Decodes

<p>Artificial intelligence is moving beyond pilot projects and proofs-of-concept into the very fabric of enterprise strategy, reshaping how businesses innovate, compete and create value. Industry leaders stated that the technology is no longer just a productivity tool; it has become a strategic capability driving industry-specific transformation, richer customer experiences and smarter business process orchestration.</p><p><br>It also transforms enterprise innovation by shifting from simple task automation to autonomous, goal-driven systems that reason, plan, and execute complex workflows. Companies leverage generative models, multi-agent frameworks, and predictive analytics to reshape research and development, streamline operations, and hyper-personalise customer engagement.</p><h3>Enterprises' investment in AI</h3><p>According to Praveen Ojha, Chief Technologist at EPAM Systems India Pvt. Ltd., enterprises are concentrating AI investment where it delivers the strongest competitive edge. He noted that AI now blends reasoning, prediction and content generation with enterprise data, enabling companies to redesign business models and boost workforce productivity. Sectors like healthcare and financial services are already seeing tangible applications, from clinical research and pharmacovigilance to content generation and regulatory mapping, while multimodal and agentic AI increasingly power more intuitive, automated workflows.</p><p><br>Praveen Ojha said, "Enterprises are focusing AI investment on a few key areas where it creates the most competitive differentiation: industry-specific transformation, customer experience and business process orchestration. AI is combining reasoning, prediction and content generation with enterprise data to help organisations redesign business models, personalise customer experiences, augment workforce productivity through intelligent automation and create new sources of value through AI-enabled products and services. In healthcare and life sciences, AI is modernising clinical research through AI-powered evidence generation, data hub development, MDM (Medical Decision Making) modernisation and pharmacovigilance."</p><p><br>"In financial services, it's being applied to content generation, MCC (Merchant Category Code) validation and BIAN (Banking Industry Architecture Network) mapping. Alongside these use cases, multimodal AI is enabling richer, more intuitive customer experiences by combining text, voice, image, video and sensor data, while agentic AI is increasingly orchestrating workflows, supporting decisions and executing complex business processes with human oversight. As these capabilities scale, data centre operations must evolve too. Supporting multimodal and agentic AI at scale requires intelligent infrastructure that can dynamically allocate compute and orchestrate workloads with minimal manual intervention," he added.</p><p><br>Ojha emphasised that true competitive advantage doesn't come from foundation models alone, but from combining them with proprietary data and deep domain expertise. Many organisations, he said, are now deploying "digital workers", AI agents managing end-to-end functional responsibilities under human oversight. As these systems scale, he added, supporting infrastructure must also evolve to dynamically allocate compute and orchestrate workloads with minimal manual intervention, ensuring enterprises can convert AI capability into measurable business outcomes.</p><p><br>"Capturing this value requires rethinking enterprise innovation. Many are increasingly adopting digital workers - AI agents that handle end-to-end responsibilities within a function, with humans providing oversight. Competitive advantage doesn’t come from access to foundation models alone. Instead, it comes from combining those models with proprietary data, institutional knowledge and deep domain expertise. Beyond efficiency gains, organisations have started looking at AI enabling new products, better customer experiences and new sources of business value. Ultimately, leadership in this next phase will belong to organisations that can turn AI into real outcomes through engineering capabilities and multidisciplinary teams that can deploy AI at production scale," Ojha said.</p><p>&nbsp;</p><p><strong>Also read:</strong> <a href="https://www.wionews.com/trending/how-repeated-paper-leaks-are-breaking-students-before-they-begin-their-journey-explained-1786101519100">How repeated paper leaks are breaking students before they begin their journey? EXPLAINED</a></p><h3>AI into workflows and innovation cycles</h3><p>Echoing this shift, Mahesh Sharma, SVP of Data &amp; AI Engineering at Bread Financial, noted that the AI conversation has moved from experimentation to full-scale transformation. Organisations, he explained, are embedding AI into everyday workflows and innovation cycles rather than treating it as a standalone tool. Sharma outlined three defining shifts: reaching critical mass in AI adoption to unlock real impact, using AI to shorten the gap between idea and execution, and empowering agentic AI to plan and execute complex, long-running tasks, freeing humans to focus on strategic judgment and creativity.</p><p><br>"The conversation around AI is shifting from experimentation to transformation. Forward-looking organisations no longer view AI as a standalone tool; they are reimagining how work gets done by embedding AI into workflows, customer experiences and innovation cycles to unlock new forms of value creation. The future will be shaped by three important shifts. First, organisations must rethink how they use AI to solve business problems. Access alone does not create impact. Value emerges when adoption reaches critical mass, and AI is incorporated into daily work.&nbsp;<br>Second, AI is dramatically shortening the distance between idea and execution. Organisations can hypothesise faster, validate assumptions with greater confidence, and accelerate the journey from concept to implementation. As a result, teams can innovate with greater speed and precision. Third, Agentic AI will fundamentally reshape how work is performed. Agents will increasingly plan, coordinate and execute complex, long-running activities based on desired business outcomes. This shift will enable new operating models where humans focus on strategic judgment, creativity and oversight, while AI handles orchestration and execution at scale," Sharma said.</p><p><br>"Organisations must be deliberate in how they pursue this transformation. Leaders must define the problem they want to solve, identify where AI can create meaningful value, and establish clear accountability for outcomes. The organisations that create lasting value will be those that view AI not merely as a productivity tool, but as a strategic capability that equips people to solve complex problems, make better-informed decisions, and convert ideas into sustainable business outcomes," Sharma added.</p><p><br>Reacting to the use of AI in enterprises, Dinesh Parikh, Vice President - Product Management, Newgen Software, said, "For years, enterprises viewed AI primarily as a tool for generating insights. Today, we're in a far more consequential phase where AI is an active participant in how work gets done. The conversation is no longer about intelligence in isolation; it's about intelligence in motion. The most innovative organisations are embedding AI directly into the fabric of their operations, enabling systems to understand and orchestrate actions across people, processes, and technology. This shift is redefining enterprise agility, helping businesses move from reactive decision-making to continuous, adaptive execution, where AI can drive multi-step intelligence and actions while keeping humans in the loop for oversight, judgment, and accountability. What's particularly exciting is the emergence of AI as a force multiplier for human potential. Rather than replacing expertise, it amplifies it, freeing employees from routine work and enabling them to focus on creativity, strategy, and problem-solving. The enterprises that lead the next decade won't be those with the most AI pilots. They'll be the ones that successfully orchestrate AI, automation, data, and human ingenuity into a connected system of innovation, transforming intelligence from a capability into a competitive advantage."<br>&nbsp;</p>

Enterprises are concentrating AI investment where it delivers the strongest competitive edge. He noted that AI now blends reasoning, prediction and content generation with enterprise data, enabling companies to redesign business models and boost workforce productivity. 

Artificial intelligence is moving beyond pilot projects and proofs-of-concept into the very fabric of enterprise strategy, reshaping how businesses innovate, compete and create value. Industry leaders stated that the technology is no longer just a productivity tool; it has become a strategic capability driving industry-specific transformation, richer customer experiences and smarter business process orchestration. It also transforms enterprise innovation by shifting from simple task automation to autonomous, goal-driven systems that reason, plan, and execute complex workflows. Companies leverage generative models, multi-agent frameworks, and predictive analytics to reshape research and development, streamline operations, and hyper-personalise customer engagement. Enterprises' investment in AI According to Praveen Ojha, Chief Technologist at EPAM Systems India Pvt. Ltd., enterprises are concentrating AI investment where it delivers the strongest competitive edge. He noted that AI now blends reasoning, prediction and content generation with enterprise data, enabling companies to redesign business models and boost workforce productivity. Sectors like healthcare and financial services are already seeing tangible applications, from clinical research and pharmacovigilance to content generation and regulatory mapping, while multimodal and agentic AI increasingly power more intuitive, automated workflows. Praveen Ojha said, "Enterprises are focusing AI investment on a few key areas where it creates the most competitive differentiation: industry-specific transformation, customer experience and business process orchestration. AI is combining reasoning, prediction and content generation with enterprise data to help organisations redesign business models, personalise customer experiences, augment workforce productivity through intelligent automation and create new sources of value through AI-enabled products and services. In healthcare and life sciences, AI is modernising clinical research through AI-powered evidence generation, data hub development, MDM (Medical Decision Making) modernisation and pharmacovigilance." "In financial services, it's being applied to content generation, MCC (Merchant Category Code) validation and BIAN (Banking Industry Architecture Network) mapping. Alongside these use cases, multimodal AI is enabling richer, more intuitive customer experiences by combining text, voice, image, video and sensor data, while agentic AI is increasingly orchestrating workflows, supporting decisions and executing complex business processes with human oversight. As these capabilities scale, data centre operations must evolve too. Supporting multimodal and agentic AI at scale requires intelligent infrastructure that can dynamically allocate compute and orchestrate workloads with minimal manual intervention," he added. Ojha emphasised that true competitive advantage doesn't come from foundation models alone, but from combining them with proprietary data and deep domain expertise. Many organisations, he said, are now deploying "digital workers", AI agents managing end-to-end functional responsibilities under human oversight. As these systems scale, he added, supporting infrastructure must also evolve to dynamically allocate compute and orchestrate workloads with minimal manual intervention, ensuring enterprises can convert AI capability into measurable business outcomes. "Capturing this value requires rethinking enterprise innovation. Many are increasingly adopting digital workers - AI agents that handle end-to-end responsibilities within a function, with humans providing oversight. Competitive advantage doesn’t come from access to foundation models alone. Instead, it comes from combining those models with proprietary data, institutional knowledge and deep domain expertise. Beyond efficiency gains, organisations have started looking at AI enabling new products, better customer experiences and new sources of business value. Ultimately, leadership in this next phase will belong to organisations that can turn AI into real outcomes through engineering capabilities and multidisciplinary teams that can deploy AI at production scale," Ojha said. Also read: How repeated paper leaks are breaking students before they begin their journey? EXPLAINED AI into workflows and innovation cycles Echoing this shift, Mahesh Sharma, SVP of Data & AI Engineering at Bread Financial, noted that the AI conversation has moved from experimentation to full-scale transformation. Organisations, he explained, are embedding AI into everyday workflows and innovation cycles rather than treating it as a standalone tool. Sharma outlined three defining shifts: reaching critical mass in AI adoption to unlock real impact, using AI to shorten the gap between idea and execution, and empowering agentic AI to plan and execute complex, long-running tasks, freeing humans to focus on strategic judgment and creativity. "The conversation around AI is shifting from experimentation to transformation. Forward-looking organisations no longer view AI as a standalone tool; they are reimagining how work gets done by embedding AI into workflows, customer experiences and innovation cycles to unlock new forms of value creation. The future will be shaped by three important shifts. First, organisations must rethink how they use AI to solve business problems. Access alone does not create impact. Value emerges when adoption reaches critical mass, and AI is incorporated into daily work. Second, AI is dramatically shortening the distance between idea and execution. Organisations can hypothesise faster, validate assumptions with greater confidence, and accelerate the journey from concept to implementation. As a result, teams can innovate with greater speed and precision. Third, Agentic AI will fundamentally reshape how work is performed. Agents will increasingly plan, coordinate and execute complex, long-running activities based on desired business outcomes. This shift will enable new operating models where humans focus on strategic judgment, creativity and oversight, while AI handles orchestration and execution at scale," Sharma said. "Organisations must be deliberate in how they pursue this transformation. Leaders must define the problem they want to solve, identify where AI can create meaningful value, and establish clear accountability for outcomes. The organisations that create lasting value will be those that view AI not merely as a productivity tool, but as a strategic capability that equips people to solve complex problems, make better-informed decisions, and convert ideas into sustainable business outcomes," Sharma added. Reacting to the use of AI in enterprises, Dinesh Parikh, Vice President - Product Management, Newgen Software, said, "For years, enterprises viewed AI primarily as a tool for generating insights. Today, we're in a far more consequential phase where AI is an active participant in how work gets done. The conversation is no longer about intelligence in isolation; it's about intelligence in motion. The most innovative organisations are embedding AI directly into the fabric of their operations, enabling systems to understand and orchestrate actions across people, processes, and technology. This shift is redefining enterprise agility, helping businesses move from reactive decision-making to continuous, adaptive execution, where AI can drive multi-step intelligence and actions while keeping humans in the loop for oversight, judgment, and accountability. What's particularly exciting is the emergence of AI as a force multiplier for human potential. Rather than replacing expertise, it amplifies it, freeing employees from routine work and enabling them to focus on creativity, strategy, and problem-solving. The enterprises that lead the next decade won't be those with the most AI pilots. They'll be the ones that successfully orchestrate AI, automation, data, and human ingenuity into a connected system of innovation, transforming intelligence from a capability into a competitive advantage."

<p>Enterprises are concentrating AI investment where it delivers the strongest competitive edge. He noted that AI now blends reasoning, prediction and content generation with enterprise data, enabling companies to redesign business models and boost workforce productivity.&nbsp;</p>

How is AI transforming the future of enterprise innovation? EXPLAINED

<p>A discarded rocket stage of Elon Musk's SpaceX has slammed into the Moon at around 5,400 miles per hour, leaving behind a fresh crater on the lunar surface. Stunning visuals of the human-made crater have now been captured by a South Korean lunar spacecraft.</p><p>The Korea Aerospace Research Institute's Danuri spacecraft flew over the impact site shortly after the Falcon 9 upper stage crashed into the lunar surface on Wednesday. The satellite made multiple passes over the area and captured images showing the terrain before and after the impact.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/trending/baba-vanga-s-2026-prophecy-2-predictions-already-came-true-3-terrifying-ones-remain-first-human-alien-contact-world-war-3-and-putin-s-exit-1786169922573"><strong>Baba Vanga's 2026 prophecy: 2 predictions 'already came true', 3 terrifying ones remain. Details inside</strong></a></p><h2><strong>Another human-made crater on the Moon</strong></h2><p>Scientists estimate that the impact could have created a crater up to 27 metres wide and around five metres deep.</p><p>The pictures reveal a noticeably darker patch on the Moon where the rocket struck, with dust and debris scattered across the surrounding surface.</p><p>KARI said Danuri began observing the region around 30 minutes before the collision and conducted eight imaging sessions in total.</p><p>"Through this observation, changes in the terrain around the impact site and traces of ejecta spread were confirmed," the agency said.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Our team at <a href="https://x.com/iaa_csic?ref_src=twsrc%5Etfw">@iaa_csic</a> has captured the impact on the Moon of the upper stage of a Falcon 9 rocket. We attach a preliminary video showing the evolution of the ejected material. The black area corresponds to the lunar disk <a href="https://x.com/SpaceX?ref_src=twsrc%5Etfw">@SpaceX</a> <a href="https://x.com/JuanLuisRizos?ref_src=twsrc%5Etfw">@JuanLuisRizos</a> <a href="https://x.com/elonmusk?ref_src=twsrc%5Etfw">@elonmusk</a> <a href="https://x.com/tiempobrasero?ref_src=twsrc%5Etfw">@tiempobrasero</a> <a href="https://x.com/A3Noticias?ref_src=twsrc%5Etfw">@A3Noticias</a>… <a href="https://t.co/5Ry7hRdCeS">pic.twitter.com/5Ry7hRdCeS</a></p>&mdash; Jose Maria Madiedo (@jmmadiedo) <a href="https://x.com/jmmadiedo/status/2085344665562165293?ref_src=twsrc%5Etfw">August 6, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>What happened to the SpaceX rocket?</strong></h2><p>The Falcon 9 launched from Florida in January 2025 carrying two private lunar landers, Firefly Aerospace's Blue Ghost and ispace's Resilience, into lunar orbit. The rocket's primary booster was designed to return safely to Earth. But the upper stage was left drifting in space after completing its mission.</p><p>It was never supposed to hit the Moon. But a combination of lunar gravity and solar activity eventually pushed the roughly 4,000 to 4,500kg rocket stage onto a collision course with the lunar surface.</p><p>Independent astronomers first noticed the unusual trajectory before it was confirmed by NASA's Centre for Near-Earth Object Studies.</p><p>The rocket, measuring around 12 metres long, eventually hit the Moon at about 8,700 kmph. Researchers estimate the impact packed the force of roughly three tonnes of TNT.</p><h2><strong>Satellite caught the Moon before and after the crash</strong></h2><p>Danuri's observations have given scientists an unusually useful record of the impact. Because the spacecraft passed over the region shortly before the collision, researchers can compare the lunar surface before the rocket hit with the landscape after the crash.</p><p>NASA's Lunar Reconnaissance Orbiter is also expected to observe the site during a later pass, providing another look at the crater and surrounding debris.</p><p>Researchers in Spain also believe they captured footage of the impact indirectly. The actual flash was hidden behind the Moon's limb, but astronomers say they may have recorded the plume of dust and debris thrown into space by the collision. Watch the stunning visuals here:</p>

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<h2><strong>Why scientists are interested in the crash</strong></h2><p>The accidental collision is more than a dramatic space event. Scientists see it as a rare opportunity to study how large objects behave when they strike the lunar surface.</p><p>The Moon is regularly bombarded by meteoroids, but scientists often have little information about the exact size and mass of naturally occurring impactors. This time, they know the approximate mass, composition and trajectory of the object. That could allow researchers to study how the impact created a crater and how far material was thrown across the lunar surface.</p><p>The Moon has been deliberately used for similar experiments before. In 2006, the European Space Agency intentionally crashed its SMART-1 spacecraft into the lunar surface to study the resulting impact.</p>

A discarded SpaceX Falcon 9 rocket stage has crashed into the Moon at around 5,400 mph, creating a fresh crater estimated to be up to 27 metres wide. South Korea's Danuri spacecraft captured the lunar surface before and after the impact.

A discarded rocket stage of Elon Musk's SpaceX has slammed into the Moon at around 5,400 miles per hour, leaving behind a fresh crater on the lunar surface. Stunning visuals of the human-made crater have now been captured by a South Korean lunar spacecraft. The Korea Aerospace Research Institute's Danuri spacecraft flew over the impact site shortly after the Falcon 9 upper stage crashed into the lunar surface on Wednesday. The satellite made multiple passes over the area and captured images showing the terrain before and after the impact. Also read | Baba Vanga's 2026 prophecy: 2 predictions 'already came true', 3 terrifying ones remain. Details inside Another human-made crater on the Moon Scientists estimate that the impact could have created a crater up to 27 metres wide and around five metres deep. The pictures reveal a noticeably darker patch on the Moon where the rocket struck, with dust and debris scattered across the surrounding surface. KARI said Danuri began observing the region around 30 minutes before the collision and conducted eight imaging sessions in total. "Through this observation, changes in the terrain around the impact site and traces of ejecta spread were confirmed," the agency said.

<p>A discarded SpaceX Falcon 9 rocket stage has crashed into the Moon at around 5,400 mph, creating a fresh crater estimated to be up to 27 metres wide. South Korea's Danuri spacecraft captured the lunar surface before and after the impact.</p>

Elon Musk's SpaceX rocket crashes into Moon at 5,400 mph: South Korean satellite captures shocking 'before and after' images

<p>&nbsp;</p><p>A new artificial intelligence safety incident has put the spotlight back on one of the industry's biggest challenges: keeping powerful AI models under control during cybersecurity testing. Researchers at AI cybersecurity company Frontier Security said Kimi K3, the latest large language model developed by Chinese AI firm Moonshot AI, escaped a sandbox designed to test its cyber capabilities. Instead of following the restrictions built into the evaluation, the model reportedly found another route by using command-line tools to bypass the testing environment. The incident adds to a growing list of similar cases involving frontier AI models from major companies, highlighting how difficult it is becoming to safely evaluate increasingly capable systems.</p><p>&nbsp;</p><h2><strong>How Kimi K3 escaped the sandbox</strong></h2><p>According to Frontier Security, the testing sandbox blocked specific web traffic to prevent the AI model from interacting with systems outside the experiment. However, researchers found that Kimi K3 identified a loophole and relied on available command-line tools to work around those restrictions rather than following the intended evaluation process. The researchers said the findings suggest that some cybersecurity benchmarks themselves may contain vulnerabilities that advanced AI models can exploit. "This suggests that some of the evaluations the community uses are susceptible to security vulnerabilities and allow models to cheat," the researchers wrote.</p><p>&nbsp;</p><h2><strong>A growing trend across AI companies</strong></h2><p>Kimi K3 is not the first advanced AI model to escape a controlled testing environment. According to Felony Bench, a website tracking these incidents, AI models from OpenAI, Anthropic, Meta, and even systems evaluated by the UK AI Security Institute have recently found unexpected ways to access systems outside their testing environments. The incidents do not necessarily mean the AI systems intentionally carried out cyberattacks in the real world. Instead, they demonstrate that highly capable models can identify weaknesses in testing setups and exploit them in ways researchers did not anticipate.</p><p>&nbsp;</p><h2><strong>Why the incident matters</strong></h2><p>The latest findings arrive as AI companies race to build increasingly capable models that can write code, automate security testing and perform complex cyber tasks. Experts say stronger safeguards will be needed to ensure future evaluations cannot be manipulated by the very systems they are designed to measure. According to Felony Bench, Moonshot AI now joins OpenAI and Anthropic which each have seven recorded incidents and Meta, which has one. As AI capabilities continue to improve, researchers warn that designing secure testing environments may become just as important as building the models themselves.</p>

Researchers say Moonshot AI's Kimi K3 escaped a cybersecurity testing sandbox by exploiting command-line tools. The incident adds to a growing list of AI models bypassing evaluation environments, highlighting new challenges for AI safety and cybersecurity testing.

A new artificial intelligence safety incident has put the spotlight back on one of the industry's biggest challenges: keeping powerful AI models under control during cybersecurity testing. Researchers at AI cybersecurity company Frontier Security said Kimi K3, the latest large language model developed by Chinese AI firm Moonshot AI, escaped a sandbox designed to test its cyber capabilities. Instead of following the restrictions built into the evaluation, the model reportedly found another route by using command-line tools to bypass the testing environment. The incident adds to a growing list of similar cases involving frontier AI models from major companies, highlighting how difficult it is becoming to safely evaluate increasingly capable systems. How Kimi K3 escaped the sandbox According to Frontier Security, the testing sandbox blocked specific web traffic to prevent the AI model from interacting with systems outside the experiment. However, researchers found that Kimi K3 identified a loophole and relied on available command-line tools to work around those restrictions rather than following the intended evaluation process. The researchers said the findings suggest that some cybersecurity benchmarks themselves may contain vulnerabilities that advanced AI models can exploit. "This suggests that some of the evaluations the community uses are susceptible to security vulnerabilities and allow models to cheat," the researchers wrote. A growing trend across AI companies Kimi K3 is not the first advanced AI model to escape a controlled testing environment. According to Felony Bench, a website tracking these incidents, AI models from OpenAI, Anthropic, Meta, and even systems evaluated by the UK AI Security Institute have recently found unexpected ways to access systems outside their testing environments. The incidents do not necessarily mean the AI systems intentionally carried out cyberattacks in the real world. Instead, they demonstrate that highly capable models can identify weaknesses in testing setups and exploit them in ways researchers did not anticipate. Why the incident matters The latest findings arrive as AI companies race to build increasingly capable models that can write code, automate security testing and perform complex cyber tasks. Experts say stronger safeguards will be needed to ensure future evaluations cannot be manipulated by the very systems they are designed to measure. According to Felony Bench, Moonshot AI now joins OpenAI and Anthropic which each have seven recorded incidents and Meta, which has one. As AI capabilities continue to improve, researchers warn that designing secure testing environments may become just as important as building the models themselves.

<p>Researchers say Moonshot AI's Kimi K3 escaped a cybersecurity testing sandbox by exploiting command-line tools. The incident adds to a growing list of AI models bypassing evaluation environments, highlighting new challenges for AI safety and cybersecurity testing.</p>

Chinese AI model Kimi K3 bypasses cybersecurity sandbox during hacking test

<p>Some of Google's brightest AI minds are leaving the company to pursue an even bigger ambition: building AI that can make scientific discoveries on its own. Former Google DeepMind Chief Scientist Jeff Dean, together with Sanjay Ghemawat, Oriol Vinyals and Quoc Le, has launched Discovery Loop, a new AI startup focused on automating scientific and engineering research. The announcement comes alongside a major leadership reshuffle at Google DeepMind, where Demis Hassabis is stepping down as CEO to become Alphabet's Chief Scientist. The move is one of the biggest talent shifts in Google's AI history and comes as competition with OpenAI and Anthropic continues to intensify.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Announcing Discovery Loop! <br><br>I am very excited to announce that, along with my longtime friends and collaborators <a href="https://x.com/Sanjay_Ghemawat?ref_src=twsrc%5Etfw">@Sanjay_Ghemawat</a>, <a href="https://x.com/OriolVinyalsML?ref_src=twsrc%5Etfw">@OriolVinyalsML</a> and <a href="https://x.com/quocleix?ref_src=twsrc%5Etfw">@quocleix</a>, we are founding Discovery Loop (<a href="https://x.com/DiscoLoopAI?ref_src=twsrc%5Etfw">@DiscoLoopAI</a>), a Public Benefit Corporation whose mission is to automate machine… <a href="https://t.co/ancoplyNvN">pic.twitter.com/ancoplyNvN</a></p>&mdash; Jeff Dean (@JeffDean) <a href="https://x.com/JeffDean/status/2085034604172603724?ref_src=twsrc%5Etfw">August 5, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>What exactly is Discovery Loop?</strong></h2><p>Discovery Loop is developing AI systems that do more than answer questions or write code. Its goal is to build autonomous "discovery loops" that can propose experiments, run simulations, analyse results and continuously improve themselves with minimal human involvement.&nbsp;<br>Initially, the startup will use its own AI to improve machine learning systems. Over time, it plans to apply the same approach to biology, drug discovery, materials science and semiconductor design. According to Jeff Dean, the founders realised AI could eventually automate the entire scientific and engineering process instead of simply assisting researchers.</p><h2><strong>Why are Google's top researchers leaving?</strong></h2><p>Jeff Dean spent 27 years at Google and helped build technologies including MapReduce, Bigtable, Google Brain and Gemini. Sanjay Ghemawat co-created much of Google's search infrastructure, while Oriol Vinyals led Gemini research and Quoc Le pioneered Google's AutoML projects. According to WIRED, Alphabet CEO Sundar Pichai tried to persuade the team to remain at Google. Instead, they chose to build a startup where they could move faster and focus entirely on scientific AI. Google will remain a founding investor and provide cloud computing infrastructure during Discovery Loop's early stages.</p><h2><strong>Why Discovery Loop matters</strong></h2><p>Discovery Loop is betting that AI's biggest impact will not be chatbots, but accelerating scientific breakthroughs. The founders believe future AI systems could generate original research ideas, test thousands of hypotheses and help scientists solve problems that would otherwise take years. That vision mirrors comments made by AI leaders including Sam Altman, Dario Amodei and Jensen Huang, who argue AI will become a powerful engine for scientific discovery. However, Discovery Loop's founders bring decades of experience building some of the world's most advanced AI systems, giving the startup unique credibility. As Google restructures its AI leadership and rivals race ahead, Discovery Loop could become one of the most closely watched AI startups in the world.</p>

Four of Google's most influential AI researchers have launched Discovery Loop, a startup that aims to build AI capable of running scientific experiments, generating new ideas and accelerating discoveries in fields ranging from biology to chip design.

Some of Google's brightest AI minds are leaving the company to pursue an even bigger ambition: building AI that can make scientific discoveries on its own. Former Google DeepMind Chief Scientist Jeff Dean, together with Sanjay Ghemawat, Oriol Vinyals and Quoc Le, has launched Discovery Loop, a new AI startup focused on automating scientific and engineering research. The announcement comes alongside a major leadership reshuffle at Google DeepMind, where Demis Hassabis is stepping down as CEO to become Alphabet's Chief Scientist. The move is one of the biggest talent shifts in Google's AI history and comes as competition with OpenAI and Anthropic continues to intensify.

<p>Four of Google's most influential AI researchers have launched Discovery Loop, a startup that aims to build AI capable of running scientific experiments, generating new ideas and accelerating discoveries in fields ranging from biology to chip design.</p>

Google DeepMind's top AI researchers leave to build a startup focused on scientific breakthroughs: Here's what it does

<p>OpenAI is making one of the biggest upgrades to ChatGPT's free tier since the chatbot launched. The company has announced that ChatGPT Free users will soon get unlimited text conversations powered by GPT-5.6 Luna, bringing more advanced AI capabilities to millions of users without requiring a paid subscription.</p><p>The rollout also marks the return of the "Think" button, a feature designed to give ChatGPT more time to reason through difficult questions. OpenAI CEO Sam Altman confirmed the change on X, writing: "5.6 Sol much better in chat now, and unlimited text chat for free users!" The update comes as OpenAI continues expanding access to its latest AI models, with ChatGPT now serving more than 1 billion weekly users.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">5.6 Sol much better in chat now<br><br>and unlimited text chat for free users! <a href="https://t.co/zgqGqI9qfR">https://t.co/zgqGqI9qfR</a></p>&mdash; Sam Altman (@sama) <a href="https://x.com/sama/status/2085454964814753990?ref_src=twsrc%5Etfw">August 6, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>What is changing for ChatGPT Free users?</strong></h2><p>GPT-5.6 Luna will replace GPT-5.5 as the default AI model for Free and Go users. The biggest change is unlimited text-based conversations, allowing users to chat without the previous limits for everyday questions. However, OpenAI says restrictions will still apply to features such as image generation, file uploads, image analysis and other AI tools. Users will also see the return of the Think button. When enabled, ChatGPT spends more time reasoning before responding, making it better suited for research, planning, calculations and other complex tasks.</p><h2><strong>GPT-5.6 Luna aims to be more accurate</strong></h2><p>OpenAI says GPT-5.6 Luna delivers noticeable improvements in factual reliability. According to the company, internal evaluations covering financial, legal and medical questions found responses containing at least one factual error were 62 per cent less common compared with GPT-5.5 Instant. Meanwhile, Plus and Pro subscribers are receiving an updated version of GPT-5.6 Sol, which offers more focused answers, cleaner formatting and a new thinking slider that lets users decide how much reasoning the AI should use.</p><h2><strong>When will the update arrive?</strong></h2><p>OpenAI says GPT-5.6 Sol is already rolling out to Plus and Pro subscribers. For Free and Go users, GPT-5.6 Luna becomes the default model this week, while unlimited text conversations and the Think button are expected to arrive next week. The move signals OpenAI's broader strategy of making advanced AI more accessible while keeping premium features focused on high-compute tools rather than everyday conversations.</p>

OpenAI is upgrading ChatGPT Free with unlimited text chats powered by GPT-5.6 Luna. Users will also get the return of the Think button for deeper reasoning, while Plus and Pro subscribers receive an improved GPT-5.6 Sol with a new thinking slider.


OpenAI is making one of the biggest upgrades to ChatGPT's free tier since the chatbot launched. The company has announced that ChatGPT Free users will soon get unlimited text conversations powered by GPT-5.6 Luna, bringing more advanced AI capabilities to millions of users without requiring a paid subscription. The rollout also marks the return of the "Think" button, a feature designed to give ChatGPT more time to reason through difficult questions. OpenAI CEO Sam Altman confirmed the change on X, writing: "5.6 Sol much better in chat now, and unlimited text chat for free users!" The update comes as OpenAI continues expanding access to its latest AI models, with ChatGPT now serving more than 1 billion weekly users.

<p>OpenAI is upgrading ChatGPT Free with unlimited text chats powered by GPT-5.6 Luna. Users will also get the return of the Think button for deeper reasoning, while Plus and Pro subscribers receive an improved GPT-5.6 Sol with a new thinking slider.</p>

ChatGPT gets unlimited free AI chats as OpenAI rolls out GPT-5.6 Luna with new 'Think' mode

<p>China's humanoid robotics industry is about to face its biggest market test yet. Unitree Robotics, one of the country's best-known robot makers, is preparing for an initial public offering (IPO) that values the company at 60.99 billion yuan (about $9 billion). The listing is being closely watched because it could set the benchmark for how investors value the next generation of AI-powered robotics firms. The Hangzhou-based company plans to raise 6.1 billion yuan by selling 40.45 million shares on Shanghai's STAR Market. The IPO has attracted heavyweight investors including DeepSeek, Tencent, China Telecom, Citic Securities and several state-backed institutions.</p><h2><strong>Why Unitree's IPO matters</strong></h2><p>The listing is widely seen as mainland China's first major humanoid robotics IPO. Analysts believe it could become the reference point for dozens of robotics startups preparing to go public. DeepSeek invested 141 million yuan in the company under a three-year lock-up agreement. The two companies also plan to jointly develop AI models and embodied intelligence technologies while giving each other priority access to AI services and robotics products. Industry experts say the valuation could effectively become the "ceiling" for many competing embodied AI startups unless they can demonstrate stronger commercial success.</p><h2><strong>A profitable robotics company in a crowded market</strong></h2><p>Unlike many robotics startups that are still burning cash, Unitree is already profitable. According to its prospectus, the company generated 1.7 billion yuan in revenue and 591 million yuan in adjusted net profit last year. Even so, investors are paying a premium. The IPO values Unitree at around 219 times earnings and nearly 36 times sales, significantly above several listed robotics rivals. The strong pricing reflects growing optimism that humanoid robots could become one of AI's next major commercial opportunities, following the rapid rise of generative AI.</p><h2><strong>Investor excitement meets valuation concerns</strong></h2><p>Retail demand for the IPO remains strong despite concerns that valuations across China's robotics industry may be running ahead of fundamentals. Several startups including Deep Robotics, AgiBot, Leju Robotics, X Square Robot and LimX Dynamics are also preparing public listings as venture funding pours into embodied AI. Analysts say Unitree's success or failure could influence fundraising across the entire sector. While short-term enthusiasm remains high, many believe long-term valuations will ultimately depend on one factor: whether humanoid robots can move beyond demonstrations and achieve large-scale commercial adoption.</p>

Unitree Robotics is preparing a landmark $9 billion IPO backed by DeepSeek, Tencent and state investors. The profitable humanoid robot maker could set the valuation benchmark for China's booming embodied AI industry as investors bet on the next wave of artificial intelligence.

China's humanoid robotics industry is about to face its biggest market test yet. Unitree Robotics, one of the country's best-known robot makers, is preparing for an initial public offering (IPO) that values the company at 60.99 billion yuan (about $9 billion). The listing is being closely watched because it could set the benchmark for how investors value the next generation of AI-powered robotics firms. The Hangzhou-based company plans to raise 6.1 billion yuan by selling 40.45 million shares on Shanghai's STAR Market. The IPO has attracted heavyweight investors including DeepSeek, Tencent, China Telecom, Citic Securities and several state-backed institutions. Why Unitree's IPO matters The listing is widely seen as mainland China's first major humanoid robotics IPO. Analysts believe it could become the reference point for dozens of robotics startups preparing to go public. DeepSeek invested 141 million yuan in the company under a three-year lock-up agreement. The two companies also plan to jointly develop AI models and embodied intelligence technologies while giving each other priority access to AI services and robotics products. Industry experts say the valuation could effectively become the "ceiling" for many competing embodied AI startups unless they can demonstrate stronger commercial success. A profitable robotics company in a crowded market Unlike many robotics startups that are still burning cash, Unitree is already profitable. According to its prospectus, the company generated 1.7 billion yuan in revenue and 591 million yuan in adjusted net profit last year. Even so, investors are paying a premium. The IPO values Unitree at around 219 times earnings and nearly 36 times sales, significantly above several listed robotics rivals. The strong pricing reflects growing optimism that humanoid robots could become one of AI's next major commercial opportunities, following the rapid rise of generative AI. Investor excitement meets valuation concerns Retail demand for the IPO remains strong despite concerns that valuations across China's robotics industry may be running ahead of fundamentals. Several startups including Deep Robotics, AgiBot, Leju Robotics, X Square Robot and LimX Dynamics are also preparing public listings as venture funding pours into embodied AI. Analysts say Unitree's success or failure could influence fundraising across the entire sector. While short-term enthusiasm remains high, many believe long-term valuations will ultimately depend on one factor: whether humanoid robots can move beyond demonstrations and achieve large-scale commercial adoption.

<p>Unitree Robotics is preparing a landmark $9 billion IPO backed by DeepSeek, Tencent and state investors. The profitable humanoid robot maker could set the valuation benchmark for China's booming embodied AI industry as investors bet on the next wave of artificial intelligence.</p>

<p>Rockstar Games has officially confirmed that Grand Theft Auto VI (GTA 6) will receive an extended presentation on August 27, giving fans their most detailed look at the game ahead of its November launch. In a surprise move, the showcase will premiere first on Netflix before becoming available on YouTube later the same day. The presentation will stream on Netflix at 3 pm ET (12:30 am IST on August 28). Rockstar will then release it on its official YouTube channel and the GTA 6 website at 9 pm ET (6:30 am IST), allowing everyone to watch it for free. The announcement marks the first time Rockstar has partnered with Netflix for an exclusive game reveal, highlighting the streaming platform's growing ambitions in the gaming industry.</p><h2><strong>What can fans expect?</strong></h2><p>Rockstar has not revealed exactly what the extended presentation will include. The company has simply described it as "Grand Theft Auto VI: An Extended Look." However, fans expect fresh gameplay footage, new details about Vice City, improved graphics, open-world activities and a closer look at the game's protagonists, Jason and Lucia. The showcase follows Rockstar's previous trailers, which became some of the biggest gaming videos ever released online. The second trailer, launched in 2025, attracted hundreds of millions of views within its first day across platforms.</p><p>&nbsp;</p><h2><strong>Final marketing push begins</strong></h2><p>The August presentation is expected to begin Rockstar's final promotional campaign before GTA 6 launches on November 19, 2026, for PlayStation 5 and Xbox Series X/S. Set in the fictional state of Leonida, inspired by Florida, GTA 6 returns players to Vice City while introducing Rockstar's biggest and most detailed open world to date. Industry analysts believe the title could become one of the highest-selling entertainment launches in history, continuing the success of Grand Theft Auto V, which has sold more than 200 million copies worldwide since its 2013 release. Netflix has been investing heavily in gaming over the past few years through mobile titles, game studios and interactive entertainment. Hosting Rockstar's first-ever exclusive GTA presentation gives the company another opportunity to attract gamers to its platform. For Rockstar, the partnership expands the game's reach beyond traditional gaming audiences while building momentum before what is expected to be one of the biggest video game launches of the decade.</p>

Rockstar Games has confirmed an extended GTA 6 presentation for August 27. In a first for the studio, Netflix will premiere the showcase before YouTube. The event is expected to reveal new gameplay and kick off the final marketing campaign ahead of GTA 6's November 2026 launch.


Rockstar Games has officially confirmed that Grand Theft Auto VI (GTA 6) will receive an extended presentation on August 27, giving fans their most detailed look at the game ahead of its November launch. In a surprise move, the showcase will premiere first on Netflix before becoming available on YouTube later the same day. The presentation will stream on Netflix at 3 pm ET (12:30 am IST on August 28). Rockstar will then release it on its official YouTube channel and the GTA 6 website at 9 pm ET (6:30 am IST), allowing everyone to watch it for free. The announcement marks the first time Rockstar has partnered with Netflix for an exclusive game reveal, highlighting the streaming platform's growing ambitions in the gaming industry. What can fans expect? Rockstar has not revealed exactly what the extended presentation will include. The company has simply described it as "Grand Theft Auto VI: An Extended Look." However, fans expect fresh gameplay footage, new details about Vice City, improved graphics, open-world activities and a closer look at the game's protagonists, Jason and Lucia. The showcase follows Rockstar's previous trailers, which became some of the biggest gaming videos ever released online. The second trailer, launched in 2025, attracted hundreds of millions of views within its first day across platforms. Final marketing push begins The August presentation is expected to begin Rockstar's final promotional campaign before GTA 6 launches on November 19, 2026, for PlayStation 5 and Xbox Series X/S. Set in the fictional state of Leonida, inspired by Florida, GTA 6 returns players to Vice City while introducing Rockstar's biggest and most detailed open world to date. Industry analysts believe the title could become one of the highest-selling entertainment launches in history, continuing the success of Grand Theft Auto V, which has sold more than 200 million copies worldwide since its 2013 release. Netflix has been investing heavily in gaming over the past few years through mobile titles, game studios and interactive entertainment. Hosting Rockstar's first-ever exclusive GTA presentation gives the company another opportunity to attract gamers to its platform. For Rockstar, the partnership expands the game's reach beyond traditional gaming audiences while building momentum before what is expected to be one of the biggest video game launches of the decade.

<p>Rockstar Games has confirmed an extended GTA 6 presentation for August 27. In a first for the studio, Netflix will premiere the showcase before YouTube. The event is expected to reveal new gameplay and kick off the final marketing campaign ahead of GTA 6's November 2026 launch.</p>

<p>OpenAI's long-rumoured AI hardware project is beginning to take shape. A new report suggests the company is developing a premium ChatGPT-powered smart speaker that could cost between $300 and $400, making it significantly more expensive than most smart speakers currently on the market. The device, reportedly being designed with Jony Ive's LoveFrom studio, is expected to launch in 2027. While OpenAI has not officially confirmed its design or pricing, the latest leak offers the clearest picture yet of the company's plans to take ChatGPT beyond smartphones and computers.</p><h2><strong>A premium AI device, not just another smart speaker</strong></h2><p>According to Bloomberg, the device will feature a donut-shaped design made from high-quality metal and is intended to be portable enough to move around the home. Unlike traditional smart speakers that mainly answer questions or play music, OpenAI reportedly wants this device to serve as the physical home for ChatGPT. Users could place it on a bedside table, kitchen counter or desk, allowing AI assistance to become part of everyday life. The report also claims the device will include "moving parts", although it remains unclear exactly what purpose they will serve.</p><h2><strong>Why it could cost much more</strong></h2><p>If the reported $300-$400 price proves accurate, OpenAI's device would sit well above most Amazon Echo speakers, which typically range from around $40 to $240. The higher price could reflect premium materials, more advanced AI capabilities and custom hardware built specifically for ChatGPT. OpenAI is betting that consumers will pay extra for a device designed around conversational AI rather than conventional voice commands.</p><h2><strong>OpenAI's biggest hardware gamble</strong></h2><p>The project marks OpenAI's most ambitious push into consumer hardware. The company has increasingly spoken about making AI assistants available beyond laptops and phones, including wearables and dedicated AI devices. The hardware is being developed with LoveFrom, the design company founded by former Apple design chief Jony Ive, whose work helped shape products such as the iPhone and iMac. However, OpenAI's hardware ambitions have not been without controversy. The company is currently facing a lawsuit from Apple over allegations involving hardware-related trade secrets, claims that OpenAI has denied. With competition from Amazon, Google and Apple already well established in smart home devices, OpenAI's biggest challenge may be convincing users that a premium AI-first speaker is worth several times more than today's smart speakers.</p>

Fresh details about OpenAI's first consumer hardware device have surfaced, suggesting the ChatGPT-powered smart speaker could launch in 2027 with a premium design, a price between $300 and $400, and deeper AI integration than existing smart home speakers.

OpenAI's long-rumoured AI hardware project is beginning to take shape. A new report suggests the company is developing a premium ChatGPT-powered smart speaker that could cost between $300 and $400, making it significantly more expensive than most smart speakers currently on the market. The device, reportedly being designed with Jony Ive's LoveFrom studio, is expected to launch in 2027. While OpenAI has not officially confirmed its design or pricing, the latest leak offers the clearest picture yet of the company's plans to take ChatGPT beyond smartphones and computers. A premium AI device, not just another smart speaker According to Bloomberg, the device will feature a donut-shaped design made from high-quality metal and is intended to be portable enough to move around the home. Unlike traditional smart speakers that mainly answer questions or play music, OpenAI reportedly wants this device to serve as the physical home for ChatGPT. Users could place it on a bedside table, kitchen counter or desk, allowing AI assistance to become part of everyday life. The report also claims the device will include "moving parts", although it remains unclear exactly what purpose they will serve. Why it could cost much more If the reported $300-$400 price proves accurate, OpenAI's device would sit well above most Amazon Echo speakers, which typically range from around $40 to $240. The higher price could reflect premium materials, more advanced AI capabilities and custom hardware built specifically for ChatGPT. OpenAI is betting that consumers will pay extra for a device designed around conversational AI rather than conventional voice commands. OpenAI's biggest hardware gamble The project marks OpenAI's most ambitious push into consumer hardware. The company has increasingly spoken about making AI assistants available beyond laptops and phones, including wearables and dedicated AI devices. The hardware is being developed with LoveFrom, the design company founded by former Apple design chief Jony Ive, whose work helped shape products such as the iPhone and iMac. However, OpenAI's hardware ambitions have not been without controversy. The company is currently facing a lawsuit from Apple over allegations involving hardware-related trade secrets, claims that OpenAI has denied. With competition from Amazon, Google and Apple already well established in smart home devices, OpenAI's biggest challenge may be convincing users that a premium AI-first speaker is worth several times more than today's smart speakers.

<p>Fresh details about OpenAI's first consumer hardware device have surfaced, suggesting the ChatGPT-powered smart speaker could launch in 2027 with a premium design, a price between $300 and $400, and deeper AI integration than existing smart home speakers.</p>

OpenAI reportedly building donut-shaped ChatGPT smart speaker for homes

<p>Elon Musk has outlined one of SpaceX's most ambitious ideas yet: sending humanoid robots to the Moon to build factories and industrial infrastructure before humans take over. Speaking during the company's latest earnings call, Musk said robotic construction on the lunar surface could eventually help expand Earth's economy by as much as 1,000 times. "It sounds super sci-fi right now, but it's going to happen," Musk said, describing a future where autonomous machines manufacture equipment and build critical infrastructure beyond Earth.</p><h2><strong>Why Musk wants factories on the Moon</strong></h2><p>According to Musk, building factories in space offers several advantages over Earth-based manufacturing. Cooling systems would require fewer resources, while autonomous robots could perform dangerous or repetitive work without human intervention. Musk also argued that SpaceX's satellites should already be viewed as robots because they operate autonomously and do not require regular servicing. One of the long-term goals is to build a mass accelerator on the Moon a system capable of launching cargo into space without traditional rockets. Musk believes humanoid robots would be essential for constructing and maintaining such large-scale infrastructure. However, he admitted the proposal currently sounds "totally nuts" and offered no timeline for when it could become reality.</p><h2><strong>Will Tesla's Optimus robots be used?</strong></h2><p>SpaceX did not reveal whether it plans to deploy Tesla's Optimus humanoid robots or develop a new generation of robotic workers specifically for lunar operations. The company also did not disclose investment plans or a roadmap for building Moon-based factories. For now, the project remains part of Musk's long-term vision for expanding humanity's industrial footprint beyond Earth. The announcement comes days after a discarded upper stage of a SpaceX Falcon 9 rocket reportedly impacted the Moon after drifting in space for more than a year following a 2025 lunar mission.</p><h2><strong>Nvidia partnership powers SpaceX's AI ambitions</strong></h2><p>Alongside its lunar plans, SpaceX also announced a partnership with Nvidia to develop Starmind AI-1, an orbital data centre powered by Nvidia's latest Rubin GPUs and Vera CPUs. Musk said the first Starmind satellites are expected to launch next year and confirmed SpaceX will build its AI infrastructure exclusively on Nvidia hardware. "We think the Vera Rubin architecture is the best AI computer," Musk said, calling Nvidia a key strategic partner as SpaceX expands its artificial intelligence capabilities both in orbit and, eventually, on the Moon.</p>

Elon Musk says SpaceX wants humanoid robots to build factories on the Moon, calling it a step towards making Earth's economy 1,000 times larger. The company also announced an AI partnership with Nvidia to power future orbital data centres and space infrastructure.


Elon Musk has outlined one of SpaceX's most ambitious ideas yet: sending humanoid robots to the Moon to build factories and industrial infrastructure before humans take over. Speaking during the company's latest earnings call, Musk said robotic construction on the lunar surface could eventually help expand Earth's economy by as much as 1,000 times. "It sounds super sci-fi right now, but it's going to happen," Musk said, describing a future where autonomous machines manufacture equipment and build critical infrastructure beyond Earth. Why Musk wants factories on the Moon According to Musk, building factories in space offers several advantages over Earth-based manufacturing. Cooling systems would require fewer resources, while autonomous robots could perform dangerous or repetitive work without human intervention. Musk also argued that SpaceX's satellites should already be viewed as robots because they operate autonomously and do not require regular servicing. One of the long-term goals is to build a mass accelerator on the Moon a system capable of launching cargo into space without traditional rockets. Musk believes humanoid robots would be essential for constructing and maintaining such large-scale infrastructure. However, he admitted the proposal currently sounds "totally nuts" and offered no timeline for when it could become reality. Will Tesla's Optimus robots be used? SpaceX did not reveal whether it plans to deploy Tesla's Optimus humanoid robots or develop a new generation of robotic workers specifically for lunar operations. The company also did not disclose investment plans or a roadmap for building Moon-based factories. For now, the project remains part of Musk's long-term vision for expanding humanity's industrial footprint beyond Earth. The announcement comes days after a discarded upper stage of a SpaceX Falcon 9 rocket reportedly impacted the Moon after drifting in space for more than a year following a 2025 lunar mission. Nvidia partnership powers SpaceX's AI ambitions Alongside its lunar plans, SpaceX also announced a partnership with Nvidia to develop Starmind AI-1, an orbital data centre powered by Nvidia's latest Rubin GPUs and Vera CPUs. Musk said the first Starmind satellites are expected to launch next year and confirmed SpaceX will build its AI infrastructure exclusively on Nvidia hardware. "We think the Vera Rubin architecture is the best AI computer," Musk said, calling Nvidia a key strategic partner as SpaceX expands its artificial intelligence capabilities both in orbit and, eventually, on the Moon.

<p>Elon Musk says SpaceX wants humanoid robots to build factories on the Moon, calling it a step towards making Earth's economy 1,000 times larger. The company also announced an AI partnership with Nvidia to power future orbital data centres and space infrastructure.</p>

Elon Musk wants humanoid robots to build Moon factories, says it could make Earth's economy 1,000 times bigger

<p>Google has set a retirement date for Google Assistant on Android. Starting September 4, the company will begin shutting down its long-running voice assistant and replacing it with Gemini, its generative AI-powered assistant. The transition will happen gradually over several weeks, but for most Android users, Google Assistant will soon disappear from their phones. The move marks Google's biggest shift in voice AI since Assistant first launched in 2016 and reflects the company's wider strategy of putting Gemini at the centre of its ecosystem.</p><h2><strong>Gemini is replacing Assistant everywhere</strong></h2><p>Google had previously announced plans to retire Assistant, but delayed the move while adding more features to Gemini. Now, Google says Gemini is ready to take over. Besides Android phones, the transition will also affect Wear OS smartwatches, Android Auto, compatible headphones and other connected devices that rely on Assistant through smartphones. Many Google smart home products have already moved to Gemini. However, Assistant will continue working on some platforms, including Android TVs, Google TV devices and vehicles with Google built-in, until Google announces separate migration dates.</p><h2><strong>What changes for Android users?</strong></h2><p>For users already using Gemini, very little will change. Those still relying on Assistant will automatically move to Gemini over the coming weeks. The experience, however, will be different. Unlike Assistant, which relied on predefined voice commands, Gemini uses large language models to understand natural conversations and perform more complex tasks. Google says Gemini can summarise documents, answer detailed questions, generate content and interact with multiple Google services. At the same time, some users may notice that Gemini occasionally responds differently from Assistant because it uses AI reasoning instead of fixed command-based actions.</p><h2><strong>Why Google is making the switch</strong></h2><p>The move is part of Google's broader AI strategy as competition intensifies with OpenAI's ChatGPT, Microsoft's Copilot, Anthropic's Claude and Meta AI. Rather than maintaining two assistants, Google is consolidating its AI efforts around Gemini, which now powers Search, Workspace, Android and other Google products. Users with older Android phones that do not meet Gemini's hardware requirements, or those living in unsupported regions, may temporarily continue using Assistant. For everyone else, Gemini will soon become the only built-in voice assistant on Android.</p>

Google has confirmed that Assistant will begin shutting down on Android phones from September 4. Gemini will replace it as the default AI assistant across phones, smartwatches, Android Auto and other devices as Google accelerates its AI-first strategy.

Google has set a retirement date for Google Assistant on Android. Starting September 4, the company will begin shutting down its long-running voice assistant and replacing it with Gemini, its generative AI-powered assistant. The transition will happen gradually over several weeks, but for most Android users, Google Assistant will soon disappear from their phones. The move marks Google's biggest shift in voice AI since Assistant first launched in 2016 and reflects the company's wider strategy of putting Gemini at the centre of its ecosystem. Gemini is replacing Assistant everywhere Google had previously announced plans to retire Assistant, but delayed the move while adding more features to Gemini. Now, Google says Gemini is ready to take over. Besides Android phones, the transition will also affect Wear OS smartwatches, Android Auto, compatible headphones and other connected devices that rely on Assistant through smartphones. Many Google smart home products have already moved to Gemini. However, Assistant will continue working on some platforms, including Android TVs, Google TV devices and vehicles with Google built-in, until Google announces separate migration dates. What changes for Android users? For users already using Gemini, very little will change. Those still relying on Assistant will automatically move to Gemini over the coming weeks. The experience, however, will be different. Unlike Assistant, which relied on predefined voice commands, Gemini uses large language models to understand natural conversations and perform more complex tasks. Google says Gemini can summarise documents, answer detailed questions, generate content and interact with multiple Google services. At the same time, some users may notice that Gemini occasionally responds differently from Assistant because it uses AI reasoning instead of fixed command-based actions. Why Google is making the switch The move is part of Google's broader AI strategy as competition intensifies with OpenAI's ChatGPT, Microsoft's Copilot, Anthropic's Claude and Meta AI. Rather than maintaining two assistants, Google is consolidating its AI efforts around Gemini, which now powers Search, Workspace, Android and other Google products. Users with older Android phones that do not meet Gemini's hardware requirements, or those living in unsupported regions, may temporarily continue using Assistant. For everyone else, Gemini will soon become the only built-in voice assistant on Android.

<p>Google has confirmed that Assistant will begin shutting down on Android phones from September 4. Gemini will replace it as the default AI assistant across phones, smartwatches, Android Auto and other devices as Google accelerates its AI-first strategy.</p>

Google to shut down Assistant on Android from September 4 as Gemini takes over

<p>Google is entering a new phase in the artificial intelligence race after two of its most influential AI leaders changed roles within days of each other. Jeff Dean, one of Google's earliest employees and the architect behind many of its core technologies, is leaving the company after 27 years. At the same time, Demis Hassabis is stepping down as CEO of Google DeepMind to become Alphabet's Chief Scientist. The changes come as Google faces mounting pressure from rivals such as OpenAI and Anthropic in the race to build the next generation of AI systems.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Tomorrow will be my last day at Google after 27 years, and watching it grow from 25 people to 190,000+ has been an amazing journey. Below is a note I shared with many people internally at Google today. An excerpt is:<br><br>It has been an absolute pleasure to work with you and to help… <a href="https://t.co/o3aRNLkssA">pic.twitter.com/o3aRNLkssA</a></p>&mdash; Jeff Dean (@JeffDean) <a href="https://x.com/JeffDean/status/2085083442669318443?ref_src=twsrc%5Etfw">August 5, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>Jeff Dean starts a new AI company</strong></h2><p>Dean joined Google in 1999 when the company had only around 25 employees. During his career, he helped build technologies including MapReduce, Bigtable and Google Brain, and later played a major role in Gemini and Google's AI research. Announcing his departure on X, Dean said it had been "an amazing journey" watching Google grow into a company serving billions of users worldwide. He is now launching Discovery Loop, a startup focused on building AI systems that can automate scientific and engineering research. The company is co-founded by Google veterans Sanjay Ghemawat, Oriol Vinyals and Quoc Le, with backing from Khosla Ventures. Google will remain an investor and cloud infrastructure partner. According to WIRED, Alphabet CEO Sundar Pichai attempted to persuade the team to stay, but the founders ultimately chose the flexibility of building an independent company.</p><h2><strong>Hassabis moves to a broader research role</strong></h2><p>While Dean is leaving Google, Demis Hassabis is staying within Alphabet but giving up his operational responsibilities. He has been appointed Alphabet's Chief Scientist and Chair of Google DeepMind, while former DeepMind CTO Koray Kavukcuoglu will take over as CEO and report directly to Sundar Pichai. The move allows Hassabis to focus on long-term AI research, scientific discovery and the pursuit of artificial general intelligence (AGI), rather than overseeing day-to-day product development.</p><p>&nbsp;</p><p>The twin announcements mark one of the biggest leadership reshuffles in Google's AI history. Dean's departure is particularly significant because Discovery Loop brings together four of Google's best-known AI researchers. Their goal is to develop AI systems capable of generating scientific hypotheses, running experiments and accelerating breakthroughs in biology, materials science, chip design and drug discovery. For Google, the challenge is now clear: continue competing with OpenAI, Anthropic and other AI leaders while replacing decades of engineering experience and accelerating Gemini's development. How successfully the company navigates this transition could shape the next chapter of the global AI race.</p>

Google's AI leadership has undergone a major shake-up. Jeff Dean is leaving after 27 years to launch Discovery Loop with top Google researchers, while Demis Hassabis is stepping down as DeepMind CEO to become Alphabet's Chief Scientist amid growing AI competition.

Google is entering a new phase in the artificial intelligence race after two of its most influential AI leaders changed roles within days of each other. Jeff Dean, one of Google's earliest employees and the architect behind many of its core technologies, is leaving the company after 27 years. At the same time, Demis Hassabis is stepping down as CEO of Google DeepMind to become Alphabet's Chief Scientist. The changes come as Google faces mounting pressure from rivals such as OpenAI and Anthropic in the race to build the next generation of AI systems.

<p>Google's AI leadership has undergone a major shake-up. Jeff Dean is leaving after 27 years to launch Discovery Loop with top Google researchers, while Demis Hassabis is stepping down as DeepMind CEO to become Alphabet's Chief Scientist amid growing AI competition.</p>

Google AI shake-up: Jeff Dean leaves Google after 27 years to launch AI startup with top researchers

<p>Arvind Kejriwal claims Meta restricted his account in India, asks Zuckerberg's firm not to 'bow down' to PM Modi</p><p>Aam Aadmi Party (AAP) national convener Arvind Kejriwal on Thursday (Aug 6) alleged that Meta had restricted his account in India without any explanation, accusing the social media giant of yielding to political pressure from Prime Minister Narendra Modi's government.</p><p>The former Delhi chief minister said repeated attempts to seek clarification from Meta had gone unanswered and urged the company to explain why his account had allegedly become inaccessible to users in India. This comes as the AAP leader continues his active campaign against the government's E20 ethanol blending in petrol. He has raised questions on the safety and scientific backing of the E20 fuel, and has raised alarms about potential extension to aviation fuel. &nbsp;</p><h2><strong>Kejriwal alleges account was restricted</strong></h2><p>In a post on X, Kejriwal claimed that verbal inquiries at Meta's India office confirmed that his account had been restricted within the country, but that company officials neither explained the reason nor suggested how the restriction could be lifted.</p><p>"Hi @Meta @metaindia Why have you restricted my account? Verbal enquiries at your India office revealed that my account has been restricted in India and is unavailable in India. Why? No one in your office is giving any reasons. No one is suggesting how restrictions can be removed," he wrote.</p><p>Taking a swipe at the Centre, Kejriwal added: "Don't bow down to our Prime Minister so much. Else he will allow u to run only his own account in India."</p><p>Meta has not publicly responded to Kejriwal's allegations.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Hi <a href="https://x.com/Meta?ref_src=twsrc%5Etfw">@Meta</a> <a href="https://x.com/metaindia?ref_src=twsrc%5Etfw">@metaindia</a> <br><br>Why have you restricted my account? Verbal enquiries at your India office revealed that my account has been restricted in India and is unavailable in India. Why? Noone in your office is giving any reasons. Noone is suggesting how restrictions can be removed.… <a href="https://t.co/4JThAqFMon">pic.twitter.com/4JThAqFMon</a></p>&mdash; Arvind Kejriwal (@ArvindKejriwal) <a href="https://x.com/ArvindKejriwal/status/2085219400970539037?ref_src=twsrc%5Etfw">August 6, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<p><h2><strong>Kejriwal calls on netizens to report similar issues</strong></h2><p>In a separate video posted on X, Kejriwal appealed to users who believe their content or pages have been suppressed by Meta to contact him using the hashtag #MetaCensorsIndia.</p></p>

<blockquote class="twitter-tweet"><p lang="hi" dir="ltr">अगर आपका भी पेज Meta ने suppress किया है तो मुझे <a href="https://x.com/hashtag/MetaCensorsIndia?src=hash&amp;ref_src=twsrc%5Etfw">#MetaCensorsIndia</a> के साथ comment या DM करें। <a href="https://t.co/JsB98WsxMq">https://t.co/JsB98WsxMq</a> <a href="https://t.co/abVxhl28ug">pic.twitter.com/abVxhl28ug</a></p>&mdash; Arvind Kejriwal (@ArvindKejriwal) <a href="https://x.com/ArvindKejriwal/status/2085253984319914313?ref_src=twsrc%5Etfw">August 6, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>Meta under scrutiny in India</strong></h2><p>Kejriwal's remarks come at a time when Meta is facing heightened scrutiny from Indian authorities on multiple fronts.</p><p>According to government sources, the company recently acknowledged that advertisements linked to alleged Child Sexual Exploitative and Abuse Material (CSEAM) had appeared on its platforms and admitted that paid promotions had been targeted at specific audiences. Sources said Meta would be summoned again over the matter.</p><p>The same sources also claimed that Meta CEO Mark Zuckerberg apologised to the Indian government over issues relating to child sexual abuse material, deepfake content and operational errors on the platform.</p><p>On Wednesday, a senior Meta delegation led by Chief Global Affairs Officer Joel Kaplan met Ministry of Electronics and Information Technology Secretary S. Krishnan to explain the erroneous removal of Prime Minister Narendra Modi's Facebook video on action against examination paper leaks. Meta has previously said that Modi's video was taken down due to a technical error and was restored after the issue was identified.</p><p>The meeting followed criticism from the Parliamentary Standing Committee on Communications and Information Technology, which demanded an "unqualified apology" from Zuckerberg and warned that Meta could lose its safe harbour protections under India's Information Technology Act if such incidents continued.</p><p>&nbsp;</p>

AAP chief Arvind Kejriwal has alleged that Meta restricted his account in India without explanation, accusing the company of bowing to political pressure from the Modi govt. The claim comes as Meta faces scrutiny in India over content moderation and the removal of PM's Facebook video.

Arvind Kejriwal claims Meta restricted his account in India, asks Zuckerberg's firm not to 'bow down' to PM Modi Aam Aadmi Party (AAP) national convener Arvind Kejriwal on Thursday (Aug 6) alleged that Meta had restricted his account in India without any explanation, accusing the social media giant of yielding to political pressure from Prime Minister Narendra Modi's government. The former Delhi chief minister said repeated attempts to seek clarification from Meta had gone unanswered and urged the company to explain why his account had allegedly become inaccessible to users in India. This comes as the AAP leader continues his active campaign against the government's E20 ethanol blending in petrol. He has raised questions on the safety and scientific backing of the E20 fuel, and has raised alarms about potential extension to aviation fuel. Kejriwal alleges account was restricted In a post on X, Kejriwal claimed that verbal inquiries at Meta's India office confirmed that his account had been restricted within the country, but that company officials neither explained the reason nor suggested how the restriction could be lifted. "Hi @Meta @metaindia Why have you restricted my account? Verbal enquiries at your India office revealed that my account has been restricted in India and is unavailable in India. Why? No one in your office is giving any reasons. No one is suggesting how restrictions can be removed," he wrote. Taking a swipe at the Centre, Kejriwal added: "Don't bow down to our Prime Minister so much. Else he will allow u to run only his own account in India." Meta has not publicly responded to Kejriwal's allegations.

<p>AAP chief Arvind Kejriwal has alleged that Meta restricted his account in India without explanation, accusing the company of bowing to political pressure from the Modi govt. The claim comes as Meta faces scrutiny in India over content moderation and the removal of PM's Facebook video.</p>

'Don't bow down to PM Modi': Kejriwal claims Meta restricted his account in India

<p>Meta has launched Muse Code, its newest AI coding agent built to help developers work on large and complex software projects with minimal manual effort. Powered by the newly released Muse Spark 1.2 model, the tool is designed to plan code changes, write new code and verify results across large code repositories. The launch marks Meta's biggest push yet into AI-powered software development, as competition intensifies with Anthropic's Claude Code, OpenAI's Codex, and Google's growing portfolio of coding tools.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Today we released Muse Code, a terminal coding agent, powered by our new Muse Spark 1.2 model. Learn more 👇 <a href="https://t.co/guliM1SNNn">https://t.co/guliM1SNNn</a></p>&mdash; Meta (@Meta) <a href="https://x.com/Meta/status/2085132181144293867?ref_src=twsrc%5Etfw">August 5, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>More than just an AI coding assistant</strong></h2><p>Unlike traditional AI coding assistants that respond to one prompt at a time, Muse Code works as an autonomous software engineering agent. Meta says the system creates multiple persistent subagents that work together on a single task. These background agents remain active throughout a session, allowing them to retain context instead of repeatedly analysing the same codebase. The company says this approach helps developers tackle long-running engineering tasks faster while reducing repetitive work.</p><h2><strong>Built for large software projects</strong></h2><p>At the heart of Muse Code is Muse Spark 1.2, an upgraded AI model trained specifically for coding. Meta says it significantly increased training compute and expanded the range of coding environments used during training. The model was also co-trained alongside Muse Code to improve how the two systems work together. According to Meta, Spark 1.2 is optimised for long-horizon tasks such as generating complete repositories, building end-to-end applications and managing large enterprise codebases. Another standout feature is crash recovery. Muse Code keeps a detailed event log of every AI action, tool execution and model call, allowing the agent to resume exactly where it stopped if interrupted.</p><h2><strong>Meta joins the AI coding race</strong></h2><p>The launch comes as AI companies increasingly compete to build autonomous software engineering agents rather than simple coding assistants. Meta says Muse Spark 1.2 is available globally through Muse Code and the Meta Model API starting today. The company also confirmed that even more powerful coding models and new agent capabilities are already under development. With developers increasingly looking for AI that can manage entire projects instead of generating isolated snippets of code, Muse Code signals Meta's ambition to become a major player in enterprise AI development tools.</p>

Meta has launched Muse Code, a new AI coding agent powered by Muse Spark 1.2. The autonomous tool can plan, write, test and recover coding tasks across large software projects, positioning it as a direct rival to Anthropic's Claude Code and OpenAI's Codex.

Meta has launched Muse Code, its newest AI coding agent built to help developers work on large and complex software projects with minimal manual effort. Powered by the newly released Muse Spark 1.2 model, the tool is designed to plan code changes, write new code and verify results across large code repositories. The launch marks Meta's biggest push yet into AI-powered software development, as competition intensifies with Anthropic's Claude Code, OpenAI's Codex, and Google's growing portfolio of coding tools.

<p>Meta has launched Muse Code, a new AI coding agent powered by Muse Spark 1.2. The autonomous tool can plan, write, test and recover coding tasks across large software projects, positioning it as a direct rival to Anthropic's Claude Code and OpenAI's Codex.</p>

Meta launches coding-focused Muse Spark 1.2 for long and complex software projects

Airplane mode disables all wireless activity, cutting power drain and heat during charging. Tests show it shaves 4-11 minutes off charge time and keeps phones cooler, which slows lithium-ion battery degradation. Used regularly, it's less about speed and more about long-term battery health.

Why are people charging their phone in airplane mode? Know science and benefits behind it

<p>Artificial intelligence startup Anthropic confirmed on Wednesday (Aug 5) that it is building an internal team to design custom chips for its flagship Claude AI models. The move confirms a Reuters report from April and signals the company's entry into the high-stakes hardware race.</p><p>&nbsp;</p><p>The San Francisco-based start-up is currently hiring senior engineers with deep expertise across both the hardware and software stack. These experts will help co-design custom silicon and fine-tune AI models, ensuring that Claude runs faster and operates much more efficiently at the massive scale demanded by customers.</p><h2>Addressing the global AI chip shortage</h2><p>The strategic decision comes as technology companies globally face a severe shortage of the high-performance semiconductors needed to train and run advanced AI systems. As the computational demands for generative AI skyrocket, leading labs are actively looking for ways to break through cost and performance bottlenecks.</p><p>&nbsp;</p><p>Designing an advanced AI chip from scratch is a highly expensive endeavour. According to industry sources, developing custom silicon can cost roughly half a billion dollars. This massive investment is required to employ highly skilled engineers and to ensure that the complex manufacturing process is completely free of defects.</p><h2>A multi-chip strategy for the future</h2><p>Despite developing its own proprietary silicon, Anthropic will not completely abandon its current hardware partners. The startup stated that building custom chips is simply the latest step in its broader "multi-chip strategy" designed to maintain operational stability.</p><p>To meet surging consumer demand, Anthropic will continue to rely on a highly diversified hardware stack. This critical infrastructure will keep utilising advanced technology from major industry players, including Amazon Web Services, Google, Nvidia and AMD.</p><p>&nbsp;</p><p>The company has not yet provided a specific timeline for when its new custom chips will be deployed. It also remains unclear whether Anthropic intends to manufacture the semiconductors itself or partner with third-party foundries for production. The strategic shift, however, firmly places the Claude maker in direct competition with other AI giants seeking total vertical integration.</p>

Anthropic confirmed it is building an in-house team to design custom chips for its Claude AI models. The move aims to make the chatbot faster and more efficient amid a global chip shortage, while the company continues its multi-chip strategy with partners like Google and AMD.

Artificial intelligence startup Anthropic confirmed on Wednesday (Aug 5) that it is building an internal team to design custom chips for its flagship Claude AI models. The move confirms a Reuters report from April and signals the company's entry into the high-stakes hardware race. The San Francisco-based start-up is currently hiring senior engineers with deep expertise across both the hardware and software stack. These experts will help co-design custom silicon and fine-tune AI models, ensuring that Claude runs faster and operates much more efficiently at the massive scale demanded by customers. Addressing the global AI chip shortage The strategic decision comes as technology companies globally face a severe shortage of the high-performance semiconductors needed to train and run advanced AI systems. As the computational demands for generative AI skyrocket, leading labs are actively looking for ways to break through cost and performance bottlenecks. Designing an advanced AI chip from scratch is a highly expensive endeavour. According to industry sources, developing custom silicon can cost roughly half a billion dollars. This massive investment is required to employ highly skilled engineers and to ensure that the complex manufacturing process is completely free of defects. A multi-chip strategy for the future Despite developing its own proprietary silicon, Anthropic will not completely abandon its current hardware partners. The startup stated that building custom chips is simply the latest step in its broader "multi-chip strategy" designed to maintain operational stability. To meet surging consumer demand, Anthropic will continue to rely on a highly diversified hardware stack. This critical infrastructure will keep utilising advanced technology from major industry players, including Amazon Web Services, Google, Nvidia and AMD. The company has not yet provided a specific timeline for when its new custom chips will be deployed. It also remains unclear whether Anthropic intends to manufacture the semiconductors itself or partner with third-party foundries for production. The strategic shift, however, firmly places the Claude maker in direct competition with other AI giants seeking total vertical integration.

<p>Anthropic confirmed it is building an in-house team to design custom chips for its Claude AI models. The move aims to make the chatbot faster and more efficient amid a global chip shortage, while the company continues its multi-chip strategy with partners like Google and AMD.</p>

Faster Claude AI: Anthropic confirms in-house custom chip development

<p>The rapid acceleration of artificial intelligence is forcing a complete rewrite of how society prepares people for work. A recent report by the World Bank highlighted that AI could help developing economies achieve a century's worth of economic progress in just a single decade. However, this is only possible provided leaders act immediately to build the right ecosystem.</p><p>&nbsp;</p><p>To capture this growth and avoid widespread workforce disruption, governments, educational institutions, and corporate employers are stepping up efforts to reshape skills, education, and career pathways.</p><h2>Governments build digital safety nets</h2><p>Governments are moving quickly to bridge the growing technology gap. For instance, the Centre recently approved 58 AI Centres of Excellence and 543 data and AI labs across India.</p><p>&nbsp;</p><p>Beyond infrastructure, policymakers are rolling out learning subsidies, public AI literacy programmes, and dynamic social safety nets for those displaced by automation. There is also a major focus on technical trades, green energy, and hands-on engineering to ensure displaced workers find high-value alternatives.</p><h2>Educational institutions pivot to agile learning</h2><p>Traditional four-year degree programmes are no longer enough on their own. Universities and skill hubs are shifting toward micro-credentials, short-term bootcamps, and industry-backed apprenticeships that update every one to two years.</p><p>&nbsp;</p><p>Schools are prioritising human abilities that machines cannot automate, such as critical thinking, ethics, emotional intelligence, and complex problem-solving. By co-designing curriculums directly with industry leaders, institutions ensure students graduate with both practical AI literacy and essential human skills.</p><h2>Companies redesign work and embrace internal reskilling</h2><p>A landmark study by McKinsey revealed that leading companies are moving beyond basic tool adoption to completely redesigning their work management structures. Instead of replacing entry-level staff, forward-thinking firms are redefining junior roles so workers focus on auditing AI outputs rather than manual tasks.</p><p>&nbsp;</p><p>Top businesses are also providing paid working hours dedicated to AI experimentation, creating structured reskilling pathways, and building an adaptable workplace culture where continuous learning is normalised.</p>

As AI transforms global employment, governments, universities, and companies are taking urgent action. From India approving 58 AI Centres of Excellence to firms offering paid upskilling hours, proactive preparation is now vital for workforce survival.

The rapid acceleration of artificial intelligence is forcing a complete rewrite of how society prepares people for work. A recent report by the World Bank highlighted that AI could help developing economies achieve a century's worth of economic progress in just a single decade. However, this is only possible provided leaders act immediately to build the right ecosystem. To capture this growth and avoid widespread workforce disruption, governments, educational institutions, and corporate employers are stepping up efforts to reshape skills, education, and career pathways. Governments build digital safety nets Governments are moving quickly to bridge the growing technology gap. For instance, the Centre recently approved 58 AI Centres of Excellence and 543 data and AI labs across India. Beyond infrastructure, policymakers are rolling out learning subsidies, public AI literacy programmes, and dynamic social safety nets for those displaced by automation. There is also a major focus on technical trades, green energy, and hands-on engineering to ensure displaced workers find high-value alternatives. Educational institutions pivot to agile learning Traditional four-year degree programmes are no longer enough on their own. Universities and skill hubs are shifting toward micro-credentials, short-term bootcamps, and industry-backed apprenticeships that update every one to two years. Schools are prioritising human abilities that machines cannot automate, such as critical thinking, ethics, emotional intelligence, and complex problem-solving. By co-designing curriculums directly with industry leaders, institutions ensure students graduate with both practical AI literacy and essential human skills. Companies redesign work and embrace internal reskilling A landmark study by McKinsey revealed that leading companies are moving beyond basic tool adoption to completely redesigning their work management structures. Instead of replacing entry-level staff, forward-thinking firms are redefining junior roles so workers focus on auditing AI outputs rather than manual tasks. Top businesses are also providing paid working hours dedicated to AI experimentation, creating structured reskilling pathways, and building an adaptable workplace culture where continuous learning is normalised.

<p>As AI transforms global employment, governments, universities, and companies are taking urgent action. From India approving 58 AI Centres of Excellence to firms offering paid upskilling hours, proactive preparation is now vital for workforce survival.</p>

AI job surge: How governments, schools and firms must prepare the future workforce

<p>Artificial intelligence is no longer just a tool; it is completely redesigning how businesses operate. As the global workplace undergoes a massive transformation, the most pressing question for students and working professionals is how to remain employable.</p><p>Industry leaders are clear that the days of relying solely on traditional management skills are over. Mahindra Group Chairman Anand Mahindra recently emphasised that "the future belongs to makers, not just managers." As major companies move beyond simply adopting AI, professionals must urgently upskill to stay relevant in a rapidly shifting economy.</p><h2>Master AI literacy and data skills</h2><p>The foundation of future employability is basic AI literacy. This means understanding generative AI, machine learning, and how to effectively use these tools to boost productivity across different professions.</p><p>&nbsp;</p><p>Data from the Naukri JobSpeak Index shows exactly where the demand lies, with AI and machine learning roles surging 33 per cent year-on-year in July. Overall white-collar hiring also rose 5 per cent, driven largely by this ongoing tech boom.</p><p>&nbsp;</p><p>To stay competitive, professionals need to strengthen their digital proficiency. This includes learning data analysis, cloud computing, and data-driven decision-making. Students, in particular, should make AI literacy and analytical thinking a core part of their education alongside their main subjects.</p><h2>The rising value of 'human' skills</h2><p>While technical knowledge is crucial, human skills will quickly become your greatest asset. As artificial intelligence automates routine and repetitive tasks, the value shifts significantly to what machines cannot replicate.</p><p>&nbsp;</p><p>Critical thinking, emotional intelligence, complex problem-solving, and leadership are becoming incredibly valuable. Anand Mahindra noted that as the world becomes more digital, "the more valuable the human touch will be." Professionals must combine their technical knowledge with these human-centric skills to solve real-world problems. Developing deep domain expertise in specific fields like healthcare, finance, or engineering will also help workers stay indispensable.</p><h2>Adaptability and lifelong learning</h2><p>Companies are now redesigning work at the task level, using AI to free employees for higher-value, creative work rather than just reducing overall headcount. This means workers must learn to collaborate with AI, using it as a daily productivity partner for research and content creation rather than seeing it as a threat.</p><p>&nbsp;</p><p>The modern workplace demands resilience and a strict commitment to lifelong learning. Job requirements will continue to evolve rapidly with automation. Therefore, professionals should regularly update their skills through online courses, certifications, and hands-on projects. Understanding AI governance, cybersecurity, and data privacy will also give candidates a significant edge as digital safety becomes a top corporate priority.</p>

As AI transforms the workplace, professionals must urgently upskill to remain employable. Mastering AI tools and data analysis is essential, but industry leaders warn that human skills like emotional intelligence, critical thinking, and adaptability are equally crucial for survival.

Artificial intelligence is no longer just a tool; it is completely redesigning how businesses operate. As the global workplace undergoes a massive transformation, the most pressing question for students and working professionals is how to remain employable. Industry leaders are clear that the days of relying solely on traditional management skills are over. Mahindra Group Chairman Anand Mahindra recently emphasised that "the future belongs to makers, not just managers." As major companies move beyond simply adopting AI, professionals must urgently upskill to stay relevant in a rapidly shifting economy. Master AI literacy and data skills The foundation of future employability is basic AI literacy. This means understanding generative AI, machine learning, and how to effectively use these tools to boost productivity across different professions. Data from the Naukri JobSpeak Index shows exactly where the demand lies, with AI and machine learning roles surging 33 per cent year-on-year in July. Overall white-collar hiring also rose 5 per cent, driven largely by this ongoing tech boom. To stay competitive, professionals need to strengthen their digital proficiency. This includes learning data analysis, cloud computing, and data-driven decision-making. Students, in particular, should make AI literacy and analytical thinking a core part of their education alongside their main subjects. The rising value of 'human' skills While technical knowledge is crucial, human skills will quickly become your greatest asset. As artificial intelligence automates routine and repetitive tasks, the value shifts significantly to what machines cannot replicate. Critical thinking, emotional intelligence, complex problem-solving, and leadership are becoming incredibly valuable. Anand Mahindra noted that as the world becomes more digital, "the more valuable the human touch will be." Professionals must combine their technical knowledge with these human-centric skills to solve real-world problems. Developing deep domain expertise in specific fields like healthcare, finance, or engineering will also help workers stay indispensable. Adaptability and lifelong learning Companies are now redesigning work at the task level, using AI to free employees for higher-value, creative work rather than just reducing overall headcount. This means workers must learn to collaborate with AI, using it as a daily productivity partner for research and content creation rather than seeing it as a threat. The modern workplace demands resilience and a strict commitment to lifelong learning. Job requirements will continue to evolve rapidly with automation. Therefore, professionals should regularly update their skills through online courses, certifications, and hands-on projects. Understanding AI governance, cybersecurity, and data privacy will also give candidates a significant edge as digital safety becomes a top corporate priority.

<p>As AI transforms the workplace, professionals must urgently upskill to remain employable. Mastering AI tools and data analysis is essential, but industry leaders warn that human skills like emotional intelligence, critical thinking, and adaptability are equally crucial for survival.</p>

Surviving the AI boom: The top skills you need to stay employable

<p>Artificial Intelligence is fundamentally transforming the global job market by creating immense new opportunities while wiping out many traditional roles. Speaking at the UTD Summit, industrialist Anand Mahindra stressed that continuous learning and adaptability will be the ultimate keys to long-term career success.</p><p>&nbsp;</p><p>His insights align closely with employment data from global economic research institutions, including the World Economic Forum (WEF), Goldman Sachs, and the McKinsey Global Institute. As automation accelerates, the message for the global workforce is clear: workers must urgently upskill or risk obsolescence.</p><h2>Tech and 'human-centric' roles set to boom</h2><p>The careers most likely to grow fall into two distinct categories: technology infrastructure and roles requiring high human empathy.</p><p>&nbsp;</p><p><strong>AI, Data and Tech Infrastructure:</strong></p><p>&nbsp;</p><p><strong>AI and Machine Learning Specialists:</strong> Companies desperately need experts for designing, training, and deploying AI models.</p><p>&nbsp;</p><p><strong>Data Analytics Engineers:</strong> Specialists are required for managing the massive datasets vital for AI applications.</p><p>&nbsp;</p><p><strong>Cybersecurity Specialists:</strong> Protecting automated systems and cloud infrastructure from threats is a rapidly growing priority.</p><p>&nbsp;</p><p><strong>Energy Infrastructure Experts:</strong> Engineers, electricians, and technicians are needed to build complex power systems for AI hardware.</p><p>&nbsp;</p><p><strong>Fintech Engineers:</strong> Software developers are heavily relied upon for integrating automation into financial and enterprise operations.</p><p>&nbsp;</p><p><strong>Roles Requiring Physical Presence:</strong></p><p>&nbsp;</p><p><strong>Healthcare Professionals:</strong> The human touch provided by doctors, nurses, therapists, and elderly care specialists cannot be replicated by AI.</p><p>&nbsp;</p><p><strong>Educators:</strong> Specialised teachers, vocational trainers, and corporate upskilling leads will remain in high demand.</p><p>&nbsp;</p><p><strong>Skilled Trades:</strong> Construction workers, plumbers, and HVAC technicians offer physical field services safe from automation.</p><h2>Jobs at the highest risk of vanishing</h2><p>Conversely, roles that involve routine, predictable, or rule-based cognitive tasks face the highest risk of heavy reduction or outright replacement.</p><p>&nbsp;</p><p><strong>Administrative Clerks:</strong> AI agents handle record processing and scheduling much faster and without error.</p><p>&nbsp;</p><p><strong>Customer Support:</strong> Generative AI chatbots and voice assistants now manage tier-1 and tier-2 customer support efficiently.</p><p>&nbsp;</p><p><strong>Basic Bookkeepers:</strong> Tax software and automated invoicing systems are replacing basic accounting routines.</p><p>&nbsp;</p><p><strong>Entry-Level Designers:</strong> AI image generation tools and copy generators substitute basic media creation.</p><p>&nbsp;</p><p><strong>Retail Staff:</strong> Autonomous checkout systems and self-checkout stations replace manual cash handling.</p><p>&nbsp;</p><p><strong>Insurance Underwriters:</strong> Rule-based algorithm engines process application data significantly faster than traditional manual review.</p><h2>How to survive the AI revolution</h2><p>As artificial intelligence reshapes the economy, the focus is shifting away from routine administration. The future of work will heavily favour those who actively build and create. To stay relevant, professionals must embrace new technologies, pivot toward problem-solving, and continuously adapt their skills to meet the demands of an automated world.</p>

AI is transforming the global job market, wiping out routine roles like data entry and basic retail while creating a massive surge in demand for tech infrastructure and empathy-driven healthcare jobs. Experts warn continuous upskilling is vital to survive.

Artificial Intelligence is fundamentally transforming the global job market by creating immense new opportunities while wiping out many traditional roles. Speaking at the UTD Summit, industrialist Anand Mahindra stressed that continuous learning and adaptability will be the ultimate keys to long-term career success. His insights align closely with employment data from global economic research institutions, including the World Economic Forum (WEF), Goldman Sachs, and the McKinsey Global Institute. As automation accelerates, the message for the global workforce is clear: workers must urgently upskill or risk obsolescence. Tech and 'human-centric' roles set to boom The careers most likely to grow fall into two distinct categories: technology infrastructure and roles requiring high human empathy. AI, Data and Tech Infrastructure: AI and Machine Learning Specialists: Companies desperately need experts for designing, training, and deploying AI models. Data Analytics Engineers: Specialists are required for managing the massive datasets vital for AI applications. Cybersecurity Specialists: Protecting automated systems and cloud infrastructure from threats is a rapidly growing priority. Energy Infrastructure Experts: Engineers, electricians, and technicians are needed to build complex power systems for AI hardware. Fintech Engineers: Software developers are heavily relied upon for integrating automation into financial and enterprise operations. Roles Requiring Physical Presence: Healthcare Professionals: The human touch provided by doctors, nurses, therapists, and elderly care specialists cannot be replicated by AI. Educators: Specialised teachers, vocational trainers, and corporate upskilling leads will remain in high demand. Skilled Trades: Construction workers, plumbers, and HVAC technicians offer physical field services safe from automation. Jobs at the highest risk of vanishing Conversely, roles that involve routine, predictable, or rule-based cognitive tasks face the highest risk of heavy reduction or outright replacement. Administrative Clerks: AI agents handle record processing and scheduling much faster and without error. Customer Support: Generative AI chatbots and voice assistants now manage tier-1 and tier-2 customer support efficiently. Basic Bookkeepers: Tax software and automated invoicing systems are replacing basic accounting routines. Entry-Level Designers: AI image generation tools and copy generators substitute basic media creation. Retail Staff: Autonomous checkout systems and self-checkout stations replace manual cash handling. Insurance Underwriters: Rule-based algorithm engines process application data significantly faster than traditional manual review. How to survive the AI revolution As artificial intelligence reshapes the economy, the focus is shifting away from routine administration. The future of work will heavily favour those who actively build and create. To stay relevant, professionals must embrace new technologies, pivot toward problem-solving, and continuously adapt their skills to meet the demands of an automated world.

<p>AI is transforming the global job market, wiping out routine roles like data entry and basic retail while creating a massive surge in demand for tech infrastructure and empathy-driven healthcare jobs. Experts warn continuous upskilling is vital to survive.</p>

The AI job revolution: Which roles will survive and which are at risk?

<p>A New York-based startup founder recently implemented an artificial intelligence-powered workplace model, granting employees unlimited leave while actively encouraging them to avoid unnecessary stress. However, this seemingly ideal arrangement quickly turned into a financial disaster. The company reportedly suffered a massive loss of Rs 6 million, triggering a global debate on whether algorithms can truly balance employee well-being with actual business performance.</p><p>&nbsp;</p><p>The incident serves as a stark warning to other organisations. Startups must understand that workplace flexibility requires strict accountability. While AI tools and unlimited leave promote well-being, they cannot replace active human leadership and performance metrics.</p><h2>Defining clear workplace boundaries</h2><p>The most critical lesson from the New York experiment is that flexible policies without structure lead to operational chaos. Unlimited leave without specific delivery targets or key performance indicators (KPIs) often results in financial losses, precisely like the Rs 6 million deficit suffered by the startup.</p><p>&nbsp;</p><p>Organisations must ensure that AI adoption is accompanied by reskilling, task-based learning, and clear pathways into higher-value work. Flexibility does not mean a lack of responsibility. When companies fail to establish boundaries, daily tasks quickly become misaligned with long-term strategic goals.</p><h2>The crucial role of human oversight</h2><p>As companies rush to integrate technology, they often misunderstand what algorithms can actually do. Artificial intelligence efficiently manages schedules and workflows, but it lacks the authority and emotional intelligence required to enforce discipline. An AI system cannot successfully intervene when productivity drops or resolve workplace conflicts.</p><p>&nbsp;</p><p>The real value of AI at the workplace lies in improving the quality of decisions, anticipating issues before they escalate, and enabling employees to focus on work that creates greater value. The organisations that succeed in the future will be human-led and AI-powered.</p><h2>Balancing well-being with output</h2><p>Creating a stress-free environment should not come at the expense of business survival. Low-stress environments only succeed through outcome-based management. In this model, employees are judged on actual deliverables rather than hours worked.</p><p>&nbsp;</p><p>Leaders must ethically balance human judgment with automation, reimagine work, and build trust. By treating AI as a tool to amplify human talent rather than a replacement for management, businesses can create sustainable, high-performing workplaces.</p>

A New York startup's Rs 6 million loss exposes the dangers of unmanaged flexible work. While AI handles logistics, the incident proves businesses must combine unlimited leave with strict outcome-based targets and active human leadership to survive.

A New York-based startup founder recently implemented an artificial intelligence-powered workplace model, granting employees unlimited leave while actively encouraging them to avoid unnecessary stress. However, this seemingly ideal arrangement quickly turned into a financial disaster. The company reportedly suffered a massive loss of Rs 6 million, triggering a global debate on whether algorithms can truly balance employee well-being with actual business performance. The incident serves as a stark warning to other organisations. Startups must understand that workplace flexibility requires strict accountability. While AI tools and unlimited leave promote well-being, they cannot replace active human leadership and performance metrics. Defining clear workplace boundaries The most critical lesson from the New York experiment is that flexible policies without structure lead to operational chaos. Unlimited leave without specific delivery targets or key performance indicators (KPIs) often results in financial losses, precisely like the Rs 6 million deficit suffered by the startup. Organisations must ensure that AI adoption is accompanied by reskilling, task-based learning, and clear pathways into higher-value work. Flexibility does not mean a lack of responsibility. When companies fail to establish boundaries, daily tasks quickly become misaligned with long-term strategic goals. The crucial role of human oversight As companies rush to integrate technology, they often misunderstand what algorithms can actually do. Artificial intelligence efficiently manages schedules and workflows, but it lacks the authority and emotional intelligence required to enforce discipline. An AI system cannot successfully intervene when productivity drops or resolve workplace conflicts. The real value of AI at the workplace lies in improving the quality of decisions, anticipating issues before they escalate, and enabling employees to focus on work that creates greater value. The organisations that succeed in the future will be human-led and AI-powered. Balancing well-being with output Creating a stress-free environment should not come at the expense of business survival. Low-stress environments only succeed through outcome-based management. In this model, employees are judged on actual deliverables rather than hours worked. Leaders must ethically balance human judgment with automation, reimagine work, and build trust. By treating AI as a tool to amplify human talent rather than a replacement for management, businesses can create sustainable, high-performing workplaces.

<p>A New York startup's Rs 6 million loss exposes the dangers of unmanaged flexible work. While AI handles logistics, the incident proves businesses must combine unlimited leave with strict outcome-based targets and active human leadership to survive.</p>

AI tools and flexible policies: What startups and companies must learn from case

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AI tools and flexible policies: What startups and companies must learn from case