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Elon Musk recently sounded an ominous, chilling warning for Japan. The tech tycoon warned that Japan's severe population decline might lead to the company losing "almost a million people this year". On X, the former DOGE chief had previously warned that without a higher birthrate, Japan would "eventually cease to exist". On Friday (Aug 8), he said that the nation's demographic decline was "inevitably set in motion half a century ago" and touted artificial intelligence as the "only hope for turning this around".<h2>What's happening in Japan?</h2>Musk made the chilling prediction while sharing a World of Statistics post that said, “Japan's population falling with 900,000 more deaths than births in 2024.” Official data from Japan's Ministry of Health shows 686,061 births and 1,605,298 deaths in 2024, a net decline of about 919,000 people.

<blockquote class="twitter-tweet">Japan will lose almost a million people this year. This demographic inevitably was set in motion half a century ago and has nothing to do with AI. AI is the only hope for turning this around. <a href="https://t.co/RsFcqwMcE1">https://t.co/RsFcqwMcE1</a>&mdash; Elon Musk (@elonmusk) <a href="https://twitter.com/elonmusk/status/1953543249123324144?ref_src=twsrc%5Etfw">August 7, 2025</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

The nation's population continues to shrink due to low birth rates and ageing. Currently, Japan's birth rate stands at 1.26. One user told Musk's AI Grok to confirm the data and asked, "How many kids do we need to produce so that humanity survives?" To this, the AI assistant replied that "to sustain humanity without population decline", the United Nations recommends that the global population must maintain an average of 2.1 children per woman. It added that "Current projections show it dipping below this by 2040-2050 in most regions, risking collapse unless AI, longevity tech, or policies reverse the trend."Japan's birth rate has plummeted for the fourteenth straight year, reports Global Statistics, Japan's population change.<h2>Is Musk's post just an ad for AI?</h2>Musk's tweet has set off a flood of sarcasm and anger, with people asking what the point is behind this tweet, to others pointing out that the X owner's post was just him "trying to sell a product". Slamming Musk, one user said that AI was not going to fix the issues. "You’re just trying to sell a product. People need to be able to afford to live. But if people can’t afford a home, they ain't having kids. FFS people DESERVE a liveable wage, not to be exploited and then told some other SHITTY product is the answer to their problems."Another user telling off Musk said that billionaires like him were "the reason why people don't want to have kids. When you hold all the wealth and they can't afford it, they choose to have a life they can afford.".

Elon Musk warns Japan could lose nearly a million people in 2025 due to low birth rates and ageing, calling AI the “only hope” to reverse the decline. Critics accused him of using the crisis to promote AI. Here's all you need to know.

Elon Musk recently sounded an ominous, chilling warning for Japan. The tech tycoon warned that Japan's severe population decline might lead to the company losing "almost a million people this year". On X, the former DOGE chief had previously warned that without a higher birthrate, Japan would "eventually cease to exist". On Friday (Aug 8), he said that the nation's demographic decline was "inevitably set in motion half a century ago" and touted artificial intelligence as the "only hope for turning this around". What's happening in Japan? Musk made the chilling prediction while sharing a World of Statistics post that said, “Japan's population falling with 900,000 more deaths than births in 2024.” Official data from Japan's Ministry of Health shows 686,061 births and 1,605,298 deaths in 2024, a net decline of about 919,000 people.

Elon Musk warns Japan could lose nearly a million people in 2025 due to low birth rates and ageing, calling AI the “only hope” to reverse the decline. Critics accused him of using the crisis to promote AI. Here's all you need to know.

Elon Musk predicts THIS country will lose 1 million people in 2025, claims 'AI is the only hope,' netizens slam his 'ad'

Nvidia and AMD, the leading American semiconductor firms, are reportedly going to hand over 15 per cent of their revenues from Artificial Intelligence chip sales from China to the US government. This is unprecedented if true, and is sure to stun both the business and political leaderships across the world. Why is it a strange deal? Find out below:&nbsp;<h2>What's the 15 per cent revenue deal of Nvidia and AMD with US govt?</h2>

If media reports are to be believed, the chipmaking leaders will hand over 15 per cent of their China chip revenue to the US government. It's not a tax or a fine, but just a ‘deal’ to make sure they are allowed to keep selling certain AI chips to China.That's important for them, because they desperately want to export to China, which the US government has been restricting.&nbsp;The never-before deal will likely allow them to continue with China exports, a sort of "pay-to-play' arrangement in a legal grey zone.<h2>Nvidia - AMD deal with US : Why is it strange?</h2>This is an instance of the US government not just regulating but also profiteering. It’s going to take a cut of private business like a silent shareholder, something relatively unheard of in American capitalism.Critics say the ‘arrangement’ looks more like a cash grab than a security safeguard.This extra cost may be baked into the price of the chips, which might make Chinese buyers look elsewhere or speed up their own domestic chip production.<h2>Nvidia-AMD payments: Is it a deal with Trump’s fingerprints?</h2>The deal was reportedly hammered out during Donald Trump’s meetings with tech giants, with Nvidia’s CEO meeting the US president directly. The whole thing is causing questions of a “quid pro quo.”<h2>Why Nvidia-AMD payment news is a dangerous new precedent</h2>With the deal, Nvidia and AMD can potentially stay in the massive Chinese market, albeit with more red tape, higher compliance costs, and public and regulatory scrutiny.For the US government, it is a way to make money off tech exports while keeping China in check.&nbsp;For China, the move could push it to double down on homegrown AI chip technology, cutting out US firms altogether in the future.Other countries might also copy this model, thus turning the global tech industry in the age of AI into a battlefield of profit-sharing and protectionism.<a href="https://www.wionews.com/videos/tech-giant-nvidia-releases-a-statement-denying-the-existence-of-kill-switch-in-ai-chips-1754502261887/embed">https://www.wionews.com/videos/tech-giant-nvidia-releases-a-statement-denying-the-existence-of-kill-switch-in-ai-chips-1754502261887/embed</a><h2>Shakedown in a suit: Why the Nvidia-AMD China deal is raising fears&nbsp;</h2>This 15 per cent deal isn’t just unusual, it’s a game-changer as the US government is acting like a business partner in private tech sales. Critics say it’s a shakedown in a suit, blurring the lines between national security and national profit, with some feeling it could even be unconstituional.&nbsp;

The never-before deal will likely allow them to continue with China exports, a sort of "pay-to-play' arrangement in a legal grey zone.

Nvidia and AMD, the leading American semiconductor firms, are reportedly going to hand over 15 per cent of their revenues from Artificial Intelligence chip sales from China to the US government. This is unprecedented if true, and is sure to stun both the business and political leaderships across the world. Why is it a strange deal? Find out below: What's the 15 per cent revenue deal of Nvidia and AMD with US govt?

The never-before deal will likely allow them to continue with China exports, a sort of "pay-to-play' arrangement in a legal grey zone.

Strange times, stranger deals: Why Nvidia, AMD plan to give 15 per cent China revenue to Trump govt is as weird as it gets

OpenAI’s ChatGPT o3 model defeated Elon Musk’s xAI model Grok 4 in the final round of a chess tournament to claim the crown of the best artificial intelligence (AI) chess player. Whereas, Google's model Gemini secured the third spot in the tournament, after defeating another OpenAI model. The event, which was held for three days, pitted general-purpose LLMs from multiple AI companies against each other.&nbsp;As per the BBC report, Elon Musk and Sam Altman, both co-founders of OpenAI, claim their newest models are the most advanced in the world. However, despite excelling at several tasks every day, these AI systems are still developing their chess skills, as Grok made several mistakes in the final matches, including repeatedly losing its queen.&nbsp;"Up until the semifinals, it seemed like nothing would be able to stop Grok 4 on its way to winning the event," said Pedro Pinhata, a writer for Chess.com. "Despite a few moments of weakness, X's AI seemed to be by far the strongest chess player... But the illusion fell through on the last day of the tournament," he added.<h3>ChatGPT’s “convincing win” against Grok AI</h3>Pedro noted that the "unrecognisable" and "blundering" play of the Grok prompted ChatGPT o3 to clinch a “convincing victory.” "Grok made so many mistakes in these games, but OpenAI did not," said chess grandmaster Hikaru Nakamura during his livestream on the final.&nbsp;Before the final event of the chess scheduled for Thursday, Elon Musk had said in a post on X (formerly known as Twitter) that the earlier success of the xAI in the tournament had been a “side effect,” as the team had spent almost no effort on chess.&nbsp;For decades, tech companies have used chess as a benchmark to measure the progress and abilities of a computer, with modern chess machines virtually unbeatable by even the top human players. However, this competition was different, as it did not involve computers designed for chess, but it was held between AI programs designed for everyday use.

The ChatGPT o3 model defeated the xAI model Grok 4 in the final round of a chess tournament to find the strongest chess-playing large language model (LLM) in the world. 

OpenAI’s ChatGPT o3 model defeated Elon Musk’s xAI model Grok 4 in the final round of a chess tournament to claim the crown of the best artificial intelligence (AI) chess player. Whereas, Google's model Gemini secured the third spot in the tournament, after defeating another OpenAI model. The event, which was held for three days, pitted general-purpose LLMs from multiple AI companies against each other. As per the BBC report, Elon Musk and Sam Altman, both co-founders of OpenAI, claim their newest models are the most advanced in the world. However, despite excelling at several tasks every day, these AI systems are still developing their chess skills, as Grok made several mistakes in the final matches, including repeatedly losing its queen. "Up until the semifinals, it seemed like nothing would be able to stop Grok 4 on its way to winning the event," said Pedro Pinhata, a writer for Chess.com. "Despite a few moments of weakness, X's AI seemed to be by far the strongest chess player... But the illusion fell through on the last day of the tournament," he added. ChatGPT’s “convincing win” against Grok AI Pedro noted that the "unrecognisable" and "blundering" play of the Grok prompted ChatGPT o3 to clinch a “convincing victory.” "Grok made so many mistakes in these games, but OpenAI did not," said chess grandmaster Hikaru Nakamura during his livestream on the final. Before the final event of the chess scheduled for Thursday, Elon Musk had said in a post on X (formerly known as Twitter) that the earlier success of the xAI in the tournament had been a “side effect,” as the team had spent almost no effort on chess. For decades, tech companies have used chess as a benchmark to measure the progress and abilities of a computer, with modern chess machines virtually unbeatable by even the top human players. However, this competition was different, as it did not involve computers designed for chess, but it was held between AI programs designed for everyday use.

The ChatGPT o3 model defeated the xAI model Grok 4 in the final round of a chess tournament to find the strongest chess-playing large language model (LLM) in the world.&nbsp;

ChatGPT crowned best AI chess player after final win — Check where Gemini, Grok ranked

Russia is set to conduct a potentially dangerous test for the Burevestnik missile, also known as the SSC-X-9 Skyfall by NATO. This is significant because this is the only known nuclear-powered missile and a speculative or experimental concept. Some analysts called it a ‘flying Chernobyl’. &nbsp;The United States also had a nuclear-powered missile called SLAM or Supersonic Low Altitude Missile system in the 1950s. But it was later discontinued due to being extremely dangerous.Russian Authorities have shut down a 500-kilometre airspace corridor near Novaya Zemlya from August 7 to August 12, covering more than 40000 square km. Images from the satellites suggest intense weeks of preparation at the Pankovo test site. The Russian state nuclear corporation Rosatom has deployed ships to the Barents Sea and aircraft to the nearby Rogachevo air base. This is the site where Russia have tested nuclear weapons and technology since 1950, according to <a href="https://www.thebarentsobserver.com/security/rosatom-may-test-reactorpowered-missile-over-the-next-few-days/434546">Barents Observer</a>.&nbsp;Burevetshnik has a theoretically unlimited range owing to the onboard nuclear reactor, and has been seen as President Vladimir Putin's most controversial nuclear weapon project. It can be equipped with both conventional and nuclear warheads. Burevetshnik, also known as Skyfall, can evade current missile defence systems. One potential drawback claimed by experts is its Subsonic speed, which hampers its stealth ability. It can fly at low altitude for longer distances and circumnavigate the globe, evading radar detection. But due to its slow speed, it might be prone to interception.&nbsp;The missile had been under development since 2010 and tested since 2017, with 13 tests showing mixed results, only two being positive. Notably, in 2019, during one test, the missile crashed in the White Sea, killing several scientists and releasing radiation. Experts warn that the test has the potential to scatter radioactive material across vast distances. Norwegian authorities, whose Finnmark region lies less than 1,000 kilometres from the test site, have voiced concern. The US has deployed its WC-135R ‘nuke sniffer’ aircraft to trace radioactivity in the region. Earlier in 2025, the United States decided to start its Golden Dome Project, which is a multi-layer defence system aimed at countering ballistic, hypersonic, and cruise missiles. A global arms race is on, with the new START treaty between the US and Russia set to expire by 2026."The Burevestnik is not a wonder weapon, and the challenges it poses for NATO security are neither new nor unmanageable," said Decker Eveleth from CNA Research Group. &nbsp;&nbsp;

Russia has declared a NOTAM from August  7-12 in the region, and it is preparing for another test for nuclear-powered, radar-evading, unlimited-range, Burevestnik aka SKYFALL missiles. There are concerns about accidents and radioactive emissions.

Russia is set to conduct a potentially dangerous test for the Burevestnik missile, also known as the SSC-X-9 Skyfall by NATO. This is significant because this is the only known nuclear-powered missile and a speculative or experimental concept. Some analysts called it a ‘flying Chernobyl’. The United States also had a nuclear-powered missile called SLAM or Supersonic Low Altitude Missile system in the 1950s. But it was later discontinued due to being extremely dangerous. Russian Authorities have shut down a 500-kilometre airspace corridor near Novaya Zemlya from August 7 to August 12, covering more than 40000 square km. Images from the satellites suggest intense weeks of preparation at the Pankovo test site. The Russian state nuclear corporation Rosatom has deployed ships to the Barents Sea and aircraft to the nearby Rogachevo air base. This is the site where Russia have tested nuclear weapons and technology since 1950, according to Barents Observer. Burevetshnik has a theoretically unlimited range owing to the onboard nuclear reactor, and has been seen as President Vladimir Putin's most controversial nuclear weapon project. It can be equipped with both conventional and nuclear warheads. Burevetshnik, also known as Skyfall, can evade current missile defence systems. One potential drawback claimed by experts is its Subsonic speed, which hampers its stealth ability. It can fly at low altitude for longer distances and circumnavigate the globe, evading radar detection. But due to its slow speed, it might be prone to interception. The missile had been under development since 2010 and tested since 2017, with 13 tests showing mixed results, only two being positive. Notably, in 2019, during one test, the missile crashed in the White Sea, killing several scientists and releasing radiation. Experts warn that the test has the potential to scatter radioactive material across vast distances. Norwegian authorities, whose Finnmark region lies less than 1,000 kilometres from the test site, have voiced concern. The US has deployed its WC-135R ‘nuke sniffer’ aircraft to trace radioactivity in the region. Earlier in 2025, the United States decided to start its Golden Dome Project, which is a multi-layer defence system aimed at countering ballistic, hypersonic, and cruise missiles. A global arms race is on, with the new START treaty between the US and Russia set to expire by 2026. "The Burevestnik is not a wonder weapon, and the challenges it poses for NATO security are neither new nor unmanageable," said Decker Eveleth from CNA Research Group.

Russia has declared a NOTAM from August &nbsp;7-12 in the region, and it is preparing for another test for nuclear-powered, radar-evading, unlimited-range, Burevestnik aka SKYFALL missiles. There are concerns about accidents and radioactive emissions.

Russia's nuclear-powered, radar-evading, unlimited-range, Burevestnik aka SKYFALL missile test spark fear of radioactive emission in arctic

Elon Musk says Grok 4 Heavy is smarter than OpenAI’s new GPT-5Elon Musk has posted on X that his company’s AI model, Grok 4 Heavy, is still more intelligent than OpenAI’s latest model, GPT-5.&nbsp;In a post on X, Musk said:&nbsp;“Bottom line though: Grok 4 Heavy was smarter 2 weeks ago than GPT-5 is now and G4H is already a lot better.”

<blockquote class="twitter-tweet">Bottom line though: Grok 4 Heavy was smarter 2 weeks ago than GPT5 is now and G4H is already a lot better. Let that sink in. <a href="https://t.co/BrggsEwnuz">https://t.co/BrggsEwnuz</a>&mdash; Elon Musk (@elonmusk) <a href="https://twitter.com/elonmusk/status/1953509618493403404?ref_src=twsrc%5Etfw">August 7, 2025</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

&nbsp;He Also posted another X post in which he said -&nbsp;“Grok 5 will be out before the end of this year and it will be crushingly good.”

<blockquote class="twitter-tweet">Grok 5 will be out before the end of this year and it will be crushingly good <a href="https://t.co/W0SP9bu1GH">https://t.co/W0SP9bu1GH</a>&mdash; Elon Musk (@elonmusk) <a href="https://twitter.com/elonmusk/status/1953515379688714697?ref_src=twsrc%5Etfw">August 7, 2025</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

&nbsp;<h2>What’s new in GPT-5?</h2>While Musk made his claims, OpenAI said GPT-5 is a major upgrade over previous versions of ChatGPT. During its launch livestream, the company highlighted improvements in coding, maths, writing, health advice, and visual perception.&nbsp;The new model can generate apps, websites, and games within minutes, using only natural language prompts. GPT-5 is also the first OpenAI model that can automatically choose between a reasoning mode or efficiency mode based on the question asked.&nbsp;<h2>Availability and usage limits</h2>OpenAI has made GPT-5 available for free to all users, but with a usage limit. Once a free user reaches that limit, the system will switch to GPT-5 Mini, a smaller but capable version of the model.&nbsp;Plus plan users get higher limits, while Pro plan subscribers can use GPT-5 Pro, which is faster and more powerful.

Elon Musk says Grok 4 is still smarter than GPT-5, even after OpenAI’s latest launch. While GPT-5 brings big upgrades in coding, reasoning, and visuals, Musk teases that Grok 5 will be “crushingly good.”

Elon Musk says Grok 4 Heavy is smarter than OpenAI’s new GPT-5 Elon Musk has posted on X that his company’s AI model, Grok 4 Heavy, is still more intelligent than OpenAI’s latest model, GPT-5. In a post on X, Musk said: “Bottom line though: Grok 4 Heavy was smarter 2 weeks ago than GPT-5 is now and G4H is already a lot better.”

Elon Musk says Grok 4 is still smarter than GPT-5, even after OpenAI’s latest launch. While GPT-5 brings big upgrades in coding, reasoning, and visuals, Musk teases that Grok 5 will be “crushingly good.”

Elon Musk says Grok 4 is still smarter than OpenAI’s GPT-5

Humans have another Y2K on their hands, and this time the problem seems to be bigger than the "Millennium Bug". It has been named the Year 2038 problem because this is when it would occur. Scientists have 13 years to figure out the solution, although not a lot of people are talking about it. What is the Year 2038 problem? This one is more complicated and technical than Y2K. Computers across the world would be unable to represent times after 03:14:07 UTC on 19 January 2038. This is because of a time computing problem, that is, how some computers represent time. The issue would arise specifically with computers that use a 32-bit signed integer to store the number of seconds. Such systems use Unix time, which is the number of seconds that have passed since the beginning of the Unix epoch on January 1, 1970. They can represent a maximum positive value of 2,147,483,647. When one more digit is added to this number, &nbsp;it turns into a negative number. This is what would happen after the above-mentioned date and time.Also Read: <a href="https://www.wionews.com/trending/grok-imagine-spicy-tool-erotic-nude-nsfw-photos-and-videos-1754451191343">Grok goes 'Spicy' with latest feature that lets users create erotic NSFW photos and videos</a><h2>Solution to the Year 2038 problem</h2>A second after 03:14:07 UTC on 19 January 2038, the systems will start malfunctioning, and the current time will be interpreted to exist in 1901 and not 2038. This will trigger things to go haphazardly. Data will be corrupted, systems will crash, programs will malfunction, basically hitting all areas where the Unix time systems are in use. Scientists have known about the Year 2038 problem since 2006. However, there is still no one solution in place. The one proposed is about shifting 32-bit time systems to 64-bit time representations. Some systems have already made the move, while several older ones are still due for a shift. Paul Budde, the CEO of independent consultancy company Paul Budde Consulting, told Independent in 2022 that switching to 64-bit is the best bet. “With 64 bits, there is more than enough room to store time values far past the foreseeable future, even if high-resolution (nanosecond-based) time values are used,” he said.&nbsp;Also Read: <a href="https://www.wionews.com/technology/elon-musk-s-neuralink-to-test-brain-chip-for-paralysis-patients-in-the-uk-1754041032663">Elon Musk’s Neuralink to test brain chip for paralysis patients in the UK</a><h2>What was the Y2K problem?</h2>In the year 1999, most computers used two digits to represent the year. The year 1998 was only written as 98. Experts feared that when the year changed to 2000, the computers would take it to mean 1900. This could trigger problems in various areas, government services, transportation systems, power grids, hospitals and other places. A massive operation was launched to fix the problem. Software and hardware were updated to ensure the computers recognise 2000 as the new year and not go back a 100 years. It was a huge problem being discussed everywhere at the time. However, barring a few minor glitches, things went on smoothly.&nbsp;

In 2038, at exactly 03:14:07 UTC on 19 January, mayhem will ensue in computer systems that follow an age-old timing system. Experts are racking their brains for a solution, with one identified. Although they are still looking for a more efficient way to fix it.

Humans have another Y2K on their hands, and this time the problem seems to be bigger than the "Millennium Bug". It has been named the Year 2038 problem because this is when it would occur. Scientists have 13 years to figure out the solution, although not a lot of people are talking about it. What is the Year 2038 problem? This one is more complicated and technical than Y2K. Computers across the world would be unable to represent times after 03:14:07 UTC on 19 January 2038. This is because of a time computing problem, that is, how some computers represent time. The issue would arise specifically with computers that use a 32-bit signed integer to store the number of seconds. Such systems use Unix time, which is the number of seconds that have passed since the beginning of the Unix epoch on January 1, 1970. They can represent a maximum positive value of 2,147,483,647. When one more digit is added to this number, it turns into a negative number. This is what would happen after the above-mentioned date and time. Also Read: Grok goes 'Spicy' with latest feature that lets users create erotic NSFW photos and videos Solution to the Year 2038 problem A second after 03:14:07 UTC on 19 January 2038, the systems will start malfunctioning, and the current time will be interpreted to exist in 1901 and not 2038. This will trigger things to go haphazardly. Data will be corrupted, systems will crash, programs will malfunction, basically hitting all areas where the Unix time systems are in use. Scientists have known about the Year 2038 problem since 2006. However, there is still no one solution in place. The one proposed is about shifting 32-bit time systems to 64-bit time representations. Some systems have already made the move, while several older ones are still due for a shift. Paul Budde, the CEO of independent consultancy company Paul Budde Consulting, told Independent in 2022 that switching to 64-bit is the best bet. “With 64 bits, there is more than enough room to store time values far past the foreseeable future, even if high-resolution (nanosecond-based) time values are used,” he said. Also Read: Elon Musk’s Neuralink to test brain chip for paralysis patients in the UK What was the Y2K problem? In the year 1999, most computers used two digits to represent the year. The year 1998 was only written as 98. Experts feared that when the year changed to 2000, the computers would take it to mean 1900. This could trigger problems in various areas, government services, transportation systems, power grids, hospitals and other places. A massive operation was launched to fix the problem. Software and hardware were updated to ensure the computers recognise 2000 as the new year and not go back a 100 years. It was a huge problem being discussed everywhere at the time. However, barring a few minor glitches, things went on smoothly.

In 2038, at exactly 03:14:07 UTC on 19 January, mayhem will ensue in computer systems that follow an age-old timing system. Experts are racking their brains for a solution, with one identified. Although they are still looking for a more efficient way to fix it.

Another Y2K? On 19 Jan, 2038, we'll return 137 years back in time if...

OpenAI has launched its most advanced AI model yet - <a href="https://openai.com/index/introducing-gpt-5/?utm_source=chatgpt.com">GPT-5</a>. The rollout began on 7 August and is now available to all ChatGPT users, including those on the free tier.&nbsp;This major update brings improvements in speed, accuracy and safety. OpenAI says GPT-5 outperforms its earlier models like GPT-4o and o3, especially in those tasks which involves reasoning, coding, writing and even health-related queries.

<blockquote class="twitter-tweet" data-media-max-width="560">GPT-5 is here. Rolling out to everyone starting today.<a href="https://t.co/rOcZ8J2btI">https://t.co/rOcZ8J2btI</a> <a href="https://t.co/dk6zLTe04s">pic.twitter.com/dk6zLTe04s</a>&mdash; OpenAI (@OpenAI) <a href="https://twitter.com/OpenAI/status/1953504357821165774?ref_src=twsrc%5Etfw">August 7, 2025</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

&nbsp;<h2>Who can use GPT-5?</h2>GPT-5 is available to both free and paid users. Free users can try the new model with some daily usage limits. Once those are crossed, the system will automatically switches to a lighter version called GPT-5 Mini. OpenAI says all free users will get access over the next few days.&nbsp;Paid users on the Plus, Team and Enterprise plans get more usage. However, access to GPT-5 Pro - the most powerful version - is only available to those on the Pro plan. Enterprise and Education users are expected to get it within a week. Users don’t need to install or update anything. Once logged into ChatGPT, GPT-5 will automatically replace earlier models like GPT-4o.&nbsp;<h2>What is GPT-5 Pro?</h2>GPT-5 Pro is a special version made for advanced use. It offers better reasoning, faster replies, longer conversations and fewer mistakes. It is designed for professionals who need reliable performance for tasks like writing, coding or handling large documents.&nbsp;What’s new in GPT-5?GPT-5 is built to be more helpful and more accurate. It reduces errors and can now handle complex reasoning tasks better than ever. It can assist with maths, code writing, emails, reports and even creative writing. You can even build simple games like a drum simulator or typing test with just one prompt.&nbsp;In health topics, GPT-5 gives more useful responses while reminding users that it is not a replacement for professional advice. According to OpenAI, GPT-5 is 45 per cent less likely to make factual errors than GPT-4o and 80 per cent better than the o3 model in reasoning tasks.&nbsp;<h2>Focus on safety and fewer mistakes</h2>OpenAI has put a strong focus on safety with this release. GPT-5 now comes with multiple safety layers to prevent harmful responses, especially around sensitive topics like biology and health. It also follows instructions better and is designed to avoid making things up.&nbsp;<h2>How it compares with older models</h2>Compared to GPT-4o and o3, GPT-5 brings several upgrades:More accurate answersFaster response timeBetter understanding of contextStronger safeguards for sensitive topicsGPT-5 Pro is now the top model from OpenAI and replaces the o3-Pro version. It is designed for users who need high-level performance every day.

OpenAI has launched GPT-5 with faster answers and fewer mistakes. It helps with writing, coding, and complex tasks. A special GPT-5 Pro version is also available for professionals. 

OpenAI has launched its most advanced AI model yet - GPT-5. The rollout began on 7 August and is now available to all ChatGPT users, including those on the free tier. This major update brings improvements in speed, accuracy and safety. OpenAI says GPT-5 outperforms its earlier models like GPT-4o and o3, especially in those tasks which involves reasoning, coding, writing and even health-related queries.

OpenAI has launched GPT-5 with faster answers and fewer mistakes. It helps with writing, coding, and complex tasks. A special GPT-5 Pro version is also available for professionals.&nbsp;

OpenAI launches GPT‑5: faster answers, fewer mistakes - Here’s everything you need to know

Natural disasters like floods, earthquakes, and hurricanes are happening more often and causing serious damage. Many people lose their homes and lives. Let's explore how Artificial Intelligence is helping to predict and manage natural disasters better. This is saving lives and reducing destruction.&nbsp;<h2>How AI Can Predict Disasters</h2>AI can help, and it analyses huge amounts of information from satellites, weather reports, and past records. It studies this information to spot patterns that people might miss. For example, an AI system created by Google and Harvard studied more than 130,000 earthquakes. It predicts aftershocks more accurately than older methods do. AI can also watch weather changes almost in real time to predict when hurricanes or floods might happen. NASA uses an AI system to track hurricanes every hour, which is six times more often than before. This gives people and authorities more time to get ready before the disaster strikes.&nbsp;<h2>Preparing Communities with AI</h2>When AI detects a possible disaster, it gives important information about which areas are most at risk. And this helps emergency teams make plans and evacuate people if needed. Farmers and fishers, who depend on nature, get warnings to reduce their losses. AI can also send alerts in many languages so that people from different backgrounds get the message quickly.&nbsp;<h2>Helping Rescue and Recovery Efforts</h2>During disasters, AI assists rescue teams by analysing aerial photographs. This helps identify the worst-hit places quickly. AI can even listen to thousands of emergency calls using speech recognition. It picks out the most urgent cases, so help reaches those who need it faster. After a disaster, AI also helps with recovery by assessing damage and directing resources where they are most needed. This speeds up relief work.&nbsp;<h2>Research Shows AI’s Positive Impact</h2>Studies prove that AI is making a difference in how we handle natural disasters. For example, AI has helped improve weather forecasts by up to 30 per cent in the United States. In Japan, AI early warning systems have halved emergency response times. Machine learning can predict flood and earthquake risks with more than 90 per cent accuracy. AI’s analysis of satellite images has already supported rescue efforts during recent Natural disasters.&nbsp;<h2>Small Steps with Big Effects</h2>Artificial Intelligence is changing how we prepare for, respond to, and recover from natural disasters. By giving early warnings, guiding rescue work, and supporting recovery, AI is saving lives and protecting communities across the world.

AI is helping predict and respond to natural disasters like floods, earthquakes, and storms. From early warnings to rescue support, it's saving lives and protecting communities. 

Natural disasters like floods, earthquakes, and hurricanes are happening more often and causing serious damage. Many people lose their homes and lives. Let's explore how Artificial Intelligence is helping to predict and manage natural disasters better. This is saving lives and reducing destruction. How AI Can Predict Disasters AI can help, and it analyses huge amounts of information from satellites, weather reports, and past records. It studies this information to spot patterns that people might miss. For example, an AI system created by Google and Harvard studied more than 130,000 earthquakes. It predicts aftershocks more accurately than older methods do. AI can also watch weather changes almost in real time to predict when hurricanes or floods might happen. NASA uses an AI system to track hurricanes every hour, which is six times more often than before. This gives people and authorities more time to get ready before the disaster strikes. Preparing Communities with AI When AI detects a possible disaster, it gives important information about which areas are most at risk. And this helps emergency teams make plans and evacuate people if needed. Farmers and fishers, who depend on nature, get warnings to reduce their losses. AI can also send alerts in many languages so that people from different backgrounds get the message quickly. Helping Rescue and Recovery Efforts During disasters, AI assists rescue teams by analysing aerial photographs. This helps identify the worst-hit places quickly. AI can even listen to thousands of emergency calls using speech recognition. It picks out the most urgent cases, so help reaches those who need it faster. After a disaster, AI also helps with recovery by assessing damage and directing resources where they are most needed. This speeds up relief work. Research Shows AI’s Positive Impact Studies prove that AI is making a difference in how we handle natural disasters. For example, AI has helped improve weather forecasts by up to 30 per cent in the United States. In Japan, AI early warning systems have halved emergency response times. Machine learning can predict flood and earthquake risks with more than 90 per cent accuracy. AI’s analysis of satellite images has already supported rescue efforts during recent Natural disasters. Small Steps with Big Effects Artificial Intelligence is changing how we prepare for, respond to, and recover from natural disasters. By giving early warnings, guiding rescue work, and supporting recovery, AI is saving lives and protecting communities across the world.

AI is helping predict and respond to natural disasters like floods, earthquakes, and storms. From early warnings to rescue support, it's saving lives and protecting communities.&nbsp;

How AI is helping predict and manage natural disasters

Artificial Intelligence is changing the way companies advertise, making campaigns smarter and more affordable. Today, many brands in India and across the world using AI to save their money and reach the right people. Let us look at how this works in practice and why more firms are now using AI.&nbsp;AI studies what people like to watch, read and buy. This helps brands target only those viewers who are likely to be interested in their products, so less money is wasted on advertising. A 2024 report by Yahoo and Publicis Media reported that three quarters of advertisers said cost efficiency was the biggest benefit of AI. By avoiding random ad placements and reaching only the right people, companies get far more value for each penny they have spent.&nbsp;<h2>Automation helps businesses do more, faster</h2>Tasks that once needed hours or even days can now be done in minutes with AI tools. For example, AI helps to write, edit and schedule ads and also to buy ad spots across various websites. WPP, which is a leading advertising agency, said its AI systems have reduced the cost of attracting new customers by up to 60 per cent while boosting how often campaigns succeed. Big firms like Google and Amazon use AI for instant pricing and smart ads, making sure their offers reach the most suitable people at the best time.<h2>Personal touches for each viewer</h2>AI is also changing how ads connect with people. By looking at each person’s online activity, AI suggests products matched to individual interests. Personalised ads perform better and, since they only target certain groups, businesses save money by not showing ads to everyone.&nbsp;<h2>Many examples in the market</h2>Emami, which is an Indian consumer goods brand, used AI tools to produce its DermiCool Warriors advert for just 15 to 20 per cent of the normal cost using AI tools, with less manual effort and quicker results.

AI is helping brands cut ad costs by targeting the right people, automating campaigns, and personalising messages. AI is quietly reshaping marketing. It is happening now and changing the way brands connect with customers while saving money and time along the way.

Artificial Intelligence is changing the way companies advertise, making campaigns smarter and more affordable. Today, many brands in India and across the world using AI to save their money and reach the right people. Let us look at how this works in practice and why more firms are now using AI. AI studies what people like to watch, read and buy. This helps brands target only those viewers who are likely to be interested in their products, so less money is wasted on advertising. A 2024 report by Yahoo and Publicis Media reported that three quarters of advertisers said cost efficiency was the biggest benefit of AI. By avoiding random ad placements and reaching only the right people, companies get far more value for each penny they have spent. Automation helps businesses do more, faster Tasks that once needed hours or even days can now be done in minutes with AI tools. For example, AI helps to write, edit and schedule ads and also to buy ad spots across various websites. WPP, which is a leading advertising agency, said its AI systems have reduced the cost of attracting new customers by up to 60 per cent while boosting how often campaigns succeed. Big firms like Google and Amazon use AI for instant pricing and smart ads, making sure their offers reach the most suitable people at the best time. Personal touches for each viewer AI is also changing how ads connect with people. By looking at each person’s online activity, AI suggests products matched to individual interests. Personalised ads perform better and, since they only target certain groups, businesses save money by not showing ads to everyone. Many examples in the market Emami, which is an Indian consumer goods brand, used AI tools to produce its DermiCool Warriors advert for just 15 to 20 per cent of the normal cost using AI tools, with less manual effort and quicker results.

AI is helping brands cut ad costs by targeting the right people, automating campaigns, and personalising messages. AI is quietly reshaping marketing. It is happening now and changing the way brands connect with customers while saving money and time along the way.

How AI is making advertising cheaper and smarter for companies

A sweeping hacking attack on the US federal court filing system may have compromised identities of confidential court informants, a report in the Politico website said on Wednesday (Aug 6).<h2>What was affected in the US court hacking?</h2>The hack targeted the US judiciary's electronic case filing system. The case management system contains sensitive information, including indictments and arrest warrants.&nbsp; The hack may have exposed sensitive court data in several states, the Politico report said, citing two people aware of the matter.The filing system includes the case management/electronic case Files, or CM/ECF. This is used for uploading and managing case documents.The system also has the Public Access to Court Electronic Records, or PACER, which give the public paid access to some of the data.<h2>Dozens of US court dockets tampered with in hacking attack</h2>A source told Politico that nearly a dozen court dockets were tampered with in one court district.&nbsp;In June, Michael Scudder, the chairperson of the Committee on Information Technology for the federal courts’ national policymaking body, &nbsp;had told a Congress panel that replacing CM/ECF and PACER was a “top priority” for the federal judiciary. Developing a more modernised system would have to be incremental, he had said.He described the CM/ECF and Pacer as the “backbone system" used by federal courts for day-to-day operations.&nbsp;<a href="https://www.wionews.com/videos/tech-leaders-microsoft-google-team-up-to-standardise-confusing-hacker-name-1748975719464/embed">https://www.wionews.com/videos/tech-leaders-microsoft-google-team-up-to-standardise-confusing-hacker-name-1748975719464/embed</a><h2>Foreign spies have targeted US case management system in past</h2>The latest hack shows that the federal court filing system is vulnerable amid a series of cybersecurity threats.Foreign spies have targeted the case filing system in the past too, leading the Administrative Office of the US Courts to add new security procedures in 2021.In 2022, three hostile foreign actors targeted the court document filing system.Jerry Nadler, the House Judiciary Chairman at the time, had said at the time that the hack dated back to early 2020. Nadler said it was a breach of 'startling breadth and scope.'&nbsp;&nbsp;

The hack may have exposed sensitive court data in several states, the Politico report said, citing two people aware of the matter.

A sweeping hacking attack on the US federal court filing system may have compromised identities of confidential court informants, a report in the Politico website said on Wednesday (Aug 6). What was affected in the US court hacking? The hack targeted the US judiciary's electronic case filing system. The case management system contains sensitive information, including indictments and arrest warrants. The hack may have exposed sensitive court data in several states, the Politico report said, citing two people aware of the matter. The filing system includes the case management/electronic case Files, or CM/ECF. This is used for uploading and managing case documents. The system also has the Public Access to Court Electronic Records, or PACER, which give the public paid access to some of the data. Dozens of US court dockets tampered with in hacking attack A source told Politico that nearly a dozen court dockets were tampered with in one court district. In June, Michael Scudder, the chairperson of the Committee on Information Technology for the federal courts’ national policymaking body, had told a Congress panel that replacing CM/ECF and PACER was a “top priority” for the federal judiciary. Developing a more modernised system would have to be incremental, he had said. He described the CM/ECF and Pacer as the “backbone system" used by federal courts for day-to-day operations. https://www.wionews.com/videos/tech-leaders-microsoft-google-team-up-to-standardise-confusing-hacker-name-1748975719464/embed Foreign spies have targeted US case management system in past The latest hack shows that the federal court filing system is vulnerable amid a series of cybersecurity threats. Foreign spies have targeted the case filing system in the past too, leading the Administrative Office of the US Courts to add new security procedures in 2021. In 2022, three hostile foreign actors targeted the court document filing system. Jerry Nadler, the House Judiciary Chairman at the time, had said at the time that the hack dated back to early 2020. Nadler said it was a breach of 'startling breadth and scope.'

The hack may have exposed sensitive court data in several states, the Politico report said, citing two people aware of the matter.

Hackers strike US court system: Identities of informants compromised in wide hacking attack

Meta on Wednesday (Aug 6) announced new features for Instagram, which include reposts, a location-sharing map, and a revamped ‘Friends’ tab—sparking backlash over copying TikTok and X

From Reposts to Maps: Instagram launches new features, netizens say 'it's wannabe TikTok, X'

OpenAI has partnered with Amazon Web Services (AWS) to offer its latest open-weight AI models on the cloud platform. This is the first time AWS will provide OpenAI models, a move that signals growing competition in the cloud-based AI services market.&nbsp;The two new models, named gpt-oss-120b and gpt-oss-20b, are open-weight reasoning models released by OpenAI under the Apache 2.0 licence. They are also available to download freely via Hugging Face, an open-source AI model hub.&nbsp;But with AWS now offering them through Amazon Bedrock and SageMaker AI, OpenAI is expanding its presence beyond Microsoft Azure its long-time partner.<h2>AWS joins OpenAI&nbsp;</h2>According to TechCrunch, OpenAI product lead Dmitry Pimenov confirmed that the partnership with AWS was made with OpenAI’s full knowledge and approval. AWS customers can now access these models alongside other popular options like Claude, Meta’s Llama, and Mistral.&nbsp;Until now, AWS was best known for hosting Anthropic’s Claude, one of OpenAI’s main competitors. AWS provides AI services through platforms like:&nbsp;Amazon Bedrock, which lets businesses use and build AI apps easily. SageMaker, which allows developers to train or fine-tune models for their own tools and services.&nbsp;With this new partnership, Amazon finally joins the ranks of companies hosting OpenAI models, something previously exclusive to Microsoft Azure.&nbsp;<h2>Microsoft, Oracle and the cloud rivalry</h2>OpenAI's new move also appears to be a strategic response to its strained relationship with Microsoft. Though Azure remains OpenAI’s main cloud partner. Meanwhile, Microsoft has already integrated these new models into Windows devices, strengthening its own ecosystem. At the same time, Oracle recently signed a massive $30 billion agreement with OpenAI to provide data centre services. This deal is now said to be larger than what Oracle earns from all other cloud customers combined, according to reports from Bloomberg and TechCrunch.&nbsp;This leaves Amazon playing catch-up, especially after recent investor concerns. During Amazon’s latest earnings call, analysts questioned CEO Andy Jassy about falling behind Microsoft and Google in the generative AI space.In response, Jassy defended AWS, saying that it still leads in cloud size. “I think the second player is about 65 per cent of the size of the AWS,” he said, without directly naming Microsoft.&nbsp;<h2>Why this partnership matters</h2>This new partnership could benefit OpenAI by widening access to its models for AWS enterprise customers. For Amazon, it offers a way to keep pace with rivals and attract users who want to build generative AI apps using OpenAI’s open-weight models. It also gives OpenAI the chance to position itself against Meta, whose CEO Mark Zuckerberg, recently admitted the company may not continue open-sourcing all its future AI models. In contrast, OpenAI is open-sourcing powerful models and working with more cloud platforms, reinforcing its image as a developer-first AI firm.&nbsp;As competition between cloud giants grows, this new alliance between AWS and OpenAI could reshape how businesses access and build with AI, marking a shift away from exclusivity towards a broader, more flexible future.

OpenAI has partnered with Amazon Web Services (AWS) to offer its new open-weight AI models on the cloud. This move expands OpenAI’s reach beyond Microsoft Azure and fuels competition in cloud AI services.

OpenAI has partnered with Amazon Web Services (AWS) to offer its latest open-weight AI models on the cloud platform. This is the first time AWS will provide OpenAI models, a move that signals growing competition in the cloud-based AI services market. The two new models, named gpt-oss-120b and gpt-oss-20b, are open-weight reasoning models released by OpenAI under the Apache 2.0 licence. They are also available to download freely via Hugging Face, an open-source AI model hub. But with AWS now offering them through Amazon Bedrock and SageMaker AI, OpenAI is expanding its presence beyond Microsoft Azure its long-time partner. AWS joins OpenAI According to TechCrunch, OpenAI product lead Dmitry Pimenov confirmed that the partnership with AWS was made with OpenAI’s full knowledge and approval. AWS customers can now access these models alongside other popular options like Claude, Meta’s Llama, and Mistral. Until now, AWS was best known for hosting Anthropic’s Claude, one of OpenAI’s main competitors. AWS provides AI services through platforms like: Amazon Bedrock, which lets businesses use and build AI apps easily. SageMaker, which allows developers to train or fine-tune models for their own tools and services. With this new partnership, Amazon finally joins the ranks of companies hosting OpenAI models, something previously exclusive to Microsoft Azure. Microsoft, Oracle and the cloud rivalry OpenAI's new move also appears to be a strategic response to its strained relationship with Microsoft. Though Azure remains OpenAI’s main cloud partner. Meanwhile, Microsoft has already integrated these new models into Windows devices, strengthening its own ecosystem. At the same time, Oracle recently signed a massive $30 billion agreement with OpenAI to provide data centre services. This deal is now said to be larger than what Oracle earns from all other cloud customers combined, according to reports from Bloomberg and TechCrunch. This leaves Amazon playing catch-up, especially after recent investor concerns. During Amazon’s latest earnings call, analysts questioned CEO Andy Jassy about falling behind Microsoft and Google in the generative AI space. In response, Jassy defended AWS, saying that it still leads in cloud size. “I think the second player is about 65 per cent of the size of the AWS,” he said, without directly naming Microsoft. Why this partnership matters This new partnership could benefit OpenAI by widening access to its models for AWS enterprise customers. For Amazon, it offers a way to keep pace with rivals and attract users who want to build generative AI apps using OpenAI’s open-weight models. It also gives OpenAI the chance to position itself against Meta, whose CEO Mark Zuckerberg, recently admitted the company may not continue open-sourcing all its future AI models. In contrast, OpenAI is open-sourcing powerful models and working with more cloud platforms, reinforcing its image as a developer-first AI firm. As competition between cloud giants grows, this new alliance between AWS and OpenAI could reshape how businesses access and build with AI, marking a shift away from exclusivity towards a broader, more flexible future.

OpenAI has partnered with Amazon Web Services (AWS) to offer its new open-weight AI models on the cloud. This move expands OpenAI’s reach beyond Microsoft Azure and fuels competition in cloud AI services.

OpenAI partners with Amazon AWS to expand its AI services

AI search startup Perplexity is facing strong criticism after Cloudflare, which is a web infrastructure company, published a <a href="https://blog.cloudflare.com/perplexity-is-using-stealth-undeclared-crawlers-to-evade-website-no-crawl-directives/&nbsp;">blog</a> post accusing it of bypassing site restrictions to collect web data.&nbsp;This comes shortly after Perplexity launched its Comet browser, which focuses on agent-based internet browsing powered by AI. In a blog post published by Cloudflare, the company claims that Perplexity has been scraping websites that requested not to be analysed by bots. This scraping reportedly continued even after site owners blocked access through standard rules and tools.&nbsp;<h2>Perplexity accused of disguising its bot activity</h2>Cloudflare conducted its own tests to investigate these claims. According to their blog, the company created new domains that explicitly requested not to be scraped. They then asked Perplexity AI questions about these domains. Surprisingly, Perplexity was still able to return information about the pages, despite access being denied.&nbsp;Cloudflare said that Perplexity may be changing the "user agent" of its crawler. Which means that the bot pretends to be a normal web visitor, rather than an AI tool, allowing it to access sites that have blocked AI crawlers.&nbsp;“This unusual activity was observed across tens of thousands of domains and millions of requests per day,” as mentioned by Cloudflare. They added that it used machine learning and network signals to identify the scraping pattern.&nbsp;<h2>Perplexity responds to the allegations</h2>In response, Jesse Dwyer, who is a spokesperson for Perplexity, told TechCrunch that the blog post was more of a marketing attempt by Cloudflare rather than an objective report. Dwyer said, “The screenshots in the blog show that no content was accessed.” She also claimed that the crawler named in the post “isn’t even ours”. Perplexity has denied any wrongdoing.&nbsp;<h2>The bigger debate: How AI gathers information</h2>AI tools like Perplexity, Claude, and ChatGPT rely on vast amounts of web content to train and answer user queries. These tools often scan forums, articles, and blogs to improve performance. This is done to improve the performance of the both and the agentic ai&nbsp;However, concerns are growing around data transparency and the ethics of content scraping. Some AI companies, such as OpenAI and Anthropic, have started offering opt-out options for websites. There is now increasing pressure on the AI industry to adopt clear guidelines on data collection.&nbsp;Cloudflare has taken a firm stance, stating that the current approach by some AI companies is “breaking the business model of the internet”. The company now aims to push back against unauthorised data scraping.

Cloudflare accuses AI platform Perplexity of ignoring site restrictions by using stealth crawlers that impersonate browsers and rotate IPs. The firm claims Perplexity accessed blocked domains. Perplexity denies wrongdoing, calling it a misunderstanding. 

AI search startup Perplexity is facing strong criticism after Cloudflare, which is a web infrastructure company, published a blog post accusing it of bypassing site restrictions to collect web data. This comes shortly after Perplexity launched its Comet browser, which focuses on agent-based internet browsing powered by AI. In a blog post published by Cloudflare, the company claims that Perplexity has been scraping websites that requested not to be analysed by bots. This scraping reportedly continued even after site owners blocked access through standard rules and tools. Perplexity accused of disguising its bot activity Cloudflare conducted its own tests to investigate these claims. According to their blog, the company created new domains that explicitly requested not to be scraped. They then asked Perplexity AI questions about these domains. Surprisingly, Perplexity was still able to return information about the pages, despite access being denied. Cloudflare said that Perplexity may be changing the "user agent" of its crawler. Which means that the bot pretends to be a normal web visitor, rather than an AI tool, allowing it to access sites that have blocked AI crawlers. “This unusual activity was observed across tens of thousands of domains and millions of requests per day,” as mentioned by Cloudflare. They added that it used machine learning and network signals to identify the scraping pattern. Perplexity responds to the allegations In response, Jesse Dwyer, who is a spokesperson for Perplexity, told TechCrunch that the blog post was more of a marketing attempt by Cloudflare rather than an objective report. Dwyer said, “The screenshots in the blog show that no content was accessed.” She also claimed that the crawler named in the post “isn’t even ours”. Perplexity has denied any wrongdoing. The bigger debate: How AI gathers information AI tools like Perplexity, Claude, and ChatGPT rely on vast amounts of web content to train and answer user queries. These tools often scan forums, articles, and blogs to improve performance. This is done to improve the performance of the both and the agentic ai However, concerns are growing around data transparency and the ethics of content scraping. Some AI companies, such as OpenAI and Anthropic, have started offering opt-out options for websites. There is now increasing pressure on the AI industry to adopt clear guidelines on data collection. Cloudflare has taken a firm stance, stating that the current approach by some AI companies is “breaking the business model of the internet”. The company now aims to push back against unauthorised data scraping.

Cloudflare accuses AI platform Perplexity of ignoring site restrictions by using stealth crawlers that impersonate browsers and rotate IPs. The firm claims Perplexity accessed blocked domains. Perplexity denies wrongdoing, calling it a misunderstanding.&nbsp;

Perplexity denies Cloudflare accusation of secretly scraping restricted websites

OpenAI has released two new open-weight language models, marking a major shift in its strategy. The models, named gpt-oss-120b and gpt-oss-20b, can be run locally on personal devices and fine-tuned for different needs. This is the first open-weight release from OpenAI since GPT-2 came out in 2019.&nbsp;CEO Sam Altman said the move is aimed at putting powerful AI tools into more hands. "We're excited to make this model, the result of billions of dollars of research, available to the world," he said in a statement posted on X.&nbsp;The models are now available for download on Hugging Face, a platform that hosts AI tools and libraries.

<blockquote class="twitter-tweet">gpt-oss is out! we made an open model that performs at the level of o4-mini and runs on a high-end laptop (WTF!!) (and a smaller one that runs on a phone). super proud of the team; big triumph of technology.&mdash; Sam Altman (@sama) <a href="https://twitter.com/sama/status/1952777539052814448?ref_src=twsrc%5Etfw">August 5, 2025</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<h2>What is an open-weight model?</h2>Unlike traditional models such as ChatGPT, which are accessed through online services, open-weight models allow users to see the internal workings of the AI. This includes the “weights” or parameters that shape how the model processes information.&nbsp;OpenAI co-founder Greg Brockman described the release as “complementary” to their paid services. He stated that these models offer different strengths, such as offline use and local customisation. For instance, gpt-oss-20b can run on consumer-grade devices with at least 16 GB of memory.&nbsp;These models use a chain-of-thought reasoning approach, meaning they go through step-by-step reasoning before giving answers. While they do not support images or voice inputs, they can browse the web, execute code, and work as AI agents in software environments.<h2>What can developers do with them?</h2>Both models are being released under the Apache 2.0 licence, which allows for commercial use and redistribution. This brings OpenAI in line with other major releases like Mistral and Qwen by Alibaba.&nbsp;Eric Wallace, a safety researcher at OpenAI, said the models were tested against potential misuse scenarios. “We actually fine-tuned the model internally on some of these risk areas,” he told reporters. Based on OpenAI’s risk framework, the models did not show high-risk behaviour.&nbsp;Chris Koch, another researcher at OpenAI, said gpt-oss-120b performs at a level similar to the company's proprietary models, including o3 and o4-mini, and sometimes even better in benchmark tests.

OpenAI has released two open-weight models, GPT-OSS-120B and GPT-OSS-20B, which can be run locally and fine-tuned. Released under the Apache 2.0 licence, developers have the freedom to customise them as they wish. This marks a major shift in AI, the most significant since GPT-2 in 2019.

OpenAI has released two new open-weight language models, marking a major shift in its strategy. The models, named gpt-oss-120b and gpt-oss-20b, can be run locally on personal devices and fine-tuned for different needs. This is the first open-weight release from OpenAI since GPT-2 came out in 2019. CEO Sam Altman said the move is aimed at putting powerful AI tools into more hands. "We're excited to make this model, the result of billions of dollars of research, available to the world," he said in a statement posted on X. The models are now available for download on Hugging Face, a platform that hosts AI tools and libraries.

OpenAI has released two open-weight models, gpt-oss-120b and gpt-oss-20b, which can be run locally and fine-tuned. Released under the Apache 2.0 licence, developers have the freedom to customise them as they wish. This marks a major shift in AI, the most significant since GPT-2 in 2019.

OpenAI releases gpt-oss models that can run offline on personal devices

Anthropic trains AI agents to audit powerful models for safetyAs artificial intelligence continues to grow more advanced, so do concerns about its safety. Anthropic, which is the AI research company behind Claude, has developed a new solution using AI to audit AI. The company has created a group of digital agents designed to investigate and fix hidden problems in large AI models before they can cause harm.&nbsp;These AI agents are now being used to test Anthropic’s own models, including Opus 4, and are seen as part of a wider move to build trust and accountability in AI development.&nbsp;<h2>Anthropic’s safety system involves three different AI agents, each with a unique task.</h2>The Investigator Agent looks deep into the model’s behaviour, acting like a digital detective. It checks the model’s training and logic to find the root cause of any suspicious patterns. For example, it can look inside the model’s neural network to understand how it’s thinking.&nbsp;Next is the Evaluation Agent, which runs controlled tests on specific issues. If a model responds in a concerning way, this agent tests how often it behaves like that, gathering clear data.&nbsp;Finally, the Red-Teaming Agent interacts with the model in many different ways, trying to trigger unexpected or dangerous responses. Any worrying behaviour it finds is flagged for review by human researchers.&nbsp;Together, these models works like a safety net scanning, testing, and reporting on how these powerful AI systems behave.&nbsp;<h2>What the tests showed</h2>To test the system, Anthropic trained a model with a hidden flaw. It had been taught to act like a sycophant, agreeing with false information to gain approval. The Investigator Agent only found this hidden goal in 13 per cent of cases when working alone.&nbsp;But when ten Investigator Agents worked together, the success rate jumped to 42 per cent. This suggests that, like in human teams, collaboration improves outcomes.&nbsp;The Evaluation Agent spotted problems in 88 per cent of test cases, while the Red-Teaming Agent uncovered 7 out of 10 intentionally hidden issues. This shows strong promise, even though the agents are not yet perfect.&nbsp;<h2>From lab to real-world models</h2>Anthropic has already added these safety agents to its live AI models. They have helped detect risks such as “prefill attacks”, where users start a sentence in a way that leads the AI into generating harmful responses.&nbsp;One of the most serious findings came from the Investigator Agent. It discovered a neural pathway inside the Opus 4 model that was linked to spreading misinformation. When this part was activated, the model ignored safety filters and created a fake news article claiming vaccines cause autism, a false claim that has been widely debunked.This finding highlighted a key issue: tools built to protect us could be misused if not properly controlled.&nbsp;<h2>A shift in AI safety work</h2>The Anthropic team admits these agents are still learning. They can miss subtle issues or get stuck on a single idea. However, they reduce the burden on human teams and allow experts to focus on higher-level decisions.&nbsp;Instead of reviewing each model manually, human researchers now design the agents and guide their efforts. This shift could help scale safety efforts as AI systems grow more powerful and complex.&nbsp;Anthropic’s approach shows how we might use AI to police AI using the same power that creates risks to help reduce them.

Anthropic using AI agents to audit its AI models like Opus 4 for hidden flaws such as misinformation bias and malicious responses. With Investigator, Evaluation and Red-Teaming agents collaborating, the system catches risks earlier. Read more below.

Anthropic trains AI agents to audit powerful models for safety As artificial intelligence continues to grow more advanced, so do concerns about its safety. Anthropic, which is the AI research company behind Claude, has developed a new solution using AI to audit AI. The company has created a group of digital agents designed to investigate and fix hidden problems in large AI models before they can cause harm. These AI agents are now being used to test Anthropic’s own models, including Opus 4, and are seen as part of a wider move to build trust and accountability in AI development. Anthropic’s safety system involves three different AI agents, each with a unique task. The Investigator Agent looks deep into the model’s behaviour, acting like a digital detective. It checks the model’s training and logic to find the root cause of any suspicious patterns. For example, it can look inside the model’s neural network to understand how it’s thinking. Next is the Evaluation Agent, which runs controlled tests on specific issues. If a model responds in a concerning way, this agent tests how often it behaves like that, gathering clear data. Finally, the Red-Teaming Agent interacts with the model in many different ways, trying to trigger unexpected or dangerous responses. Any worrying behaviour it finds is flagged for review by human researchers. Together, these models works like a safety net scanning, testing, and reporting on how these powerful AI systems behave. What the tests showed To test the system, Anthropic trained a model with a hidden flaw. It had been taught to act like a sycophant, agreeing with false information to gain approval. The Investigator Agent only found this hidden goal in 13 per cent of cases when working alone. But when ten Investigator Agents worked together, the success rate jumped to 42 per cent. This suggests that, like in human teams, collaboration improves outcomes. The Evaluation Agent spotted problems in 88 per cent of test cases, while the Red-Teaming Agent uncovered 7 out of 10 intentionally hidden issues. This shows strong promise, even though the agents are not yet perfect. From lab to real-world models Anthropic has already added these safety agents to its live AI models. They have helped detect risks such as “prefill attacks”, where users start a sentence in a way that leads the AI into generating harmful responses. One of the most serious findings came from the Investigator Agent. It discovered a neural pathway inside the Opus 4 model that was linked to spreading misinformation. When this part was activated, the model ignored safety filters and created a fake news article claiming vaccines cause autism, a false claim that has been widely debunked. This finding highlighted a key issue: tools built to protect us could be misused if not properly controlled. A shift in AI safety work The Anthropic team admits these agents are still learning. They can miss subtle issues or get stuck on a single idea. However, they reduce the burden on human teams and allow experts to focus on higher-level decisions. Instead of reviewing each model manually, human researchers now design the agents and guide their efforts. This shift could help scale safety efforts as AI systems grow more powerful and complex. Anthropic’s approach shows how we might use AI to police AI using the same power that creates risks to help reduce them.

Anthropic using AI agents to audit its AI models like Opus 4 for hidden flaws such as misinformation bias and malicious responses. With Investigator, Evaluation and Red-Teaming agents collaborating, the system catches risks earlier. Read more below.

Anthropic using AI-powered agents to detect hidden flaws in AI models

African cities are growing fast. But as they expand, a key question remains: how do we make these cities smart, fair, and inclusive?&nbsp;A new community-led approach in Johannesburg’s Westbury neighbourhood is showing the way. Instead of starting with tech companies or governments, the plan begins with local people.&nbsp;Researchers from the University of Johannesburg worked with 30 residents to design their ideal “smart neighbourhoods”, focusing on real-life needs like safety, electricity, education, and culture.&nbsp;<h2>What makes a city truly smart?</h2>A smart city uses digital tools like sensors, data networks, and connected devices to manage services. These tools can help with things like traffic, electricity, public safety and waste management.&nbsp;But technology alone isn’t enough. If people are not part of the planning, even the smartest systems can ignore real problems.&nbsp;Professor Rennie Naidoo of the University of the Witwatersrand said a better approach is to start with communities themselves. In Westbury, residents shared their hopes for the future what changes they wanted and how tech could support those changes without replacing their values.&nbsp;"When communities imagine their future, it’s not about fancy tech it’s about what helps them live better lives,” said Naidoo.&nbsp;<h2>Westbury’s vision: safety, power and dignity</h2>Westbury is a working-class neighbourhood shaped by history. It struggles with gang violence, high unemployment and poor infrastructure. But it also has strong community bonds.&nbsp;Residents said safety was their top concern. They liked the idea of smart surveillance tools but insisted these should be controlled locally, not by distant authorities. They wanted technology that helps them feel safer, not more watched.&nbsp;Electricity was another big issue. Westbury faces regular power cuts. People wanted solar panels, not as a luxury but as a basic need. They imagined solar-powered community hubs that keep homes, schools and businesses running even during blackouts.&nbsp;They also saw potential in tech for education and culture. Some suggested augmented reality to bring local stories and landmarks to life. While others dreamed of digital centres where young people could learn coding or music or start online businesses.&nbsp;<h2>Building smarter cities with the people, not just for them</h2>This work in Westbury is part of a bigger trend. From Cape Town to Medellín, more cities are inviting locals into the planning process. In Cape Town, the “Play Khayelitsha” initiative used games and roleplay to let residents share their ideas. In Colombia’s Medellín, local voices helped shape transport and education policies. These projects show that when people help design smart cities, the results are more useful, trusted, and fair.&nbsp;Naidoo said this matters especially in African cities, where the legacy of colonialism still affects urban development. “Technology is not neutral,” he said. “It carries the ideas of whoever designs it. So it’s important that the people who live in cities help shape the future.”

African cities are trying a new idea: Not smart systems built for them, but by them. In Johannesburg residents in Westbury helped design smart neighbourhoods that focus on real needs like safety, solar power and education. Technology supports these goals, not replaces them. 

African cities are growing fast. But as they expand, a key question remains: how do we make these cities smart, fair, and inclusive? A new community-led approach in Johannesburg’s Westbury neighbourhood is showing the way. Instead of starting with tech companies or governments, the plan begins with local people. Researchers from the University of Johannesburg worked with 30 residents to design their ideal “smart neighbourhoods”, focusing on real-life needs like safety, electricity, education, and culture. What makes a city truly smart? A smart city uses digital tools like sensors, data networks, and connected devices to manage services. These tools can help with things like traffic, electricity, public safety and waste management. But technology alone isn’t enough. If people are not part of the planning, even the smartest systems can ignore real problems. Professor Rennie Naidoo of the University of the Witwatersrand said a better approach is to start with communities themselves. In Westbury, residents shared their hopes for the future what changes they wanted and how tech could support those changes without replacing their values. "When communities imagine their future, it’s not about fancy tech it’s about what helps them live better lives,” said Naidoo. Westbury’s vision: safety, power and dignity Westbury is a working-class neighbourhood shaped by history. It struggles with gang violence, high unemployment and poor infrastructure. But it also has strong community bonds. Residents said safety was their top concern. They liked the idea of smart surveillance tools but insisted these should be controlled locally, not by distant authorities. They wanted technology that helps them feel safer, not more watched. Electricity was another big issue. Westbury faces regular power cuts. People wanted solar panels, not as a luxury but as a basic need. They imagined solar-powered community hubs that keep homes, schools and businesses running even during blackouts. They also saw potential in tech for education and culture. Some suggested augmented reality to bring local stories and landmarks to life. While others dreamed of digital centres where young people could learn coding or music or start online businesses. Building smarter cities with the people, not just for them This work in Westbury is part of a bigger trend. From Cape Town to Medellín, more cities are inviting locals into the planning process. In Cape Town, the “Play Khayelitsha” initiative used games and roleplay to let residents share their ideas. In Colombia’s Medellín, local voices helped shape transport and education policies. These projects show that when people help design smart cities, the results are more useful, trusted, and fair. Naidoo said this matters especially in African cities, where the legacy of colonialism still affects urban development. “Technology is not neutral,” he said. “It carries the ideas of whoever designs it. So it’s important that the people who live in cities help shape the future.”

African cities are trying a new idea: Not smart systems built for them, but by them. In Johannesburg residents in Westbury helped design smart neighbourhoods that focus on real needs like safety, solar power and education. Technology supports these goals, not replaces them.&nbsp;

What makes smart cities truly smart? Hint: It's not just technology

Tesla CEO Elon Musk has said that Tesla drivers may soon be able to play video games while the car is in Full Self-Driving (FSD) mode. The feature, which is still under development, could launch in the next three to six months; it will depend on regulatory approvals.

<blockquote class="twitter-tweet">Probably 3 to 6 months, depending on regulatory approval in your city and state&mdash; Elon Musk (@elonmusk) <a href="https://twitter.com/elonmusk/status/1952101186360009045?ref_src=twsrc%5Etfw">August 3, 2025</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

He wrote it on X, responding to a user who asked when the feature would arrive. He said the timeline would vary based on where the driver lives. “Probably 3 to 6 months, depending on regulatory approval in your city and state,” Musk posted.&nbsp;Gaming during rides? Tesla wants cars to entertain tooThe new gaming feature will only be available when the FSD system is fully engaged. Tesla is working to ensure the feature meets all safety standards and follows local traffic laws. This update is part of Tesla’s broader push to turn its vehicles into entertainment hubs. Tesla cars already include music streaming and video apps. Now, Musk wants to add interactive games to the mix, letting drivers or passengers play games during long rides, traffic jams, or even while the car is parked.&nbsp;“Beyond just transportation, a Tesla will soon be more like a smart living room on wheels,” Musk said in a past statement about future in-car experiences.&nbsp;

<blockquote class="twitter-tweet">Not sure what the status of Illinois is. A pretty good guide is that if Waymo is operating somewhere, then regulations allow robotaxi in that city or state. Tesla will operate there as soon as we reaffirm safety testing in that locale and receive a license to operate.&mdash; Elon Musk (@elonmusk) <a href="https://twitter.com/elonmusk/status/1952109692488138865?ref_src=twsrc%5Etfw">August 3, 2025</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

Robotaxis in Chicago?He also wrote that Tesla’s Robotaxi service could launch in cities where Alphabet’s Waymo is already active. When asked online about launching in Chicago, He replied, “Tesla will operate there as soon as we reaffirm safety testing in that locale and receive a license to operate.”&nbsp;This means Tesla’s autonomous ride-hailing service may go live in more cities soon, if local laws allow it.

Elon Musk says Tesla might soon let drivers play video games while the car is in self-driving mode if approved by authorities. Tesla aims to make its cars more fun and entertaining

Tesla CEO Elon Musk has said that Tesla drivers may soon be able to play video games while the car is in Full Self-Driving (FSD) mode. The feature, which is still under development, could launch in the next three to six months; it will depend on regulatory approvals.

Elon Musk says Tesla might soon let drivers play video games while the car is in self-driving mode if approved by authorities. Tesla aims to make its cars more fun and entertaining

Elon Musk says Tesla may soon allow video games in self-driving cars

As OpenAI gets ready to launch GPT-5 in August 2025, CEO Sam Altman has shared his concerns about the rapid growth of artificial intelligence. Speaking on This Past Weekend podcast hosted by Theo Von, Altman admitted he felt “scared” while testing GPT-5. He compared its development to the Manhattan Project, where scientists who built the atomic bomb later worried about its consequences.&nbsp;His comments in podcast have brought more attention to the fast pace of AI development and raised questions about how prepared society is for such powerful tools.&nbsp;<h2>Altman says GPT-5 could be a turning point</h2>He explained that GPT-5 felt “very fast”, not just in processing speed but in how quickly AI is moving forward. “What have we done?” he asked during the interview, reflecting on whether the world is ready for what’s coming next.&nbsp;According to Altman, one major concern is that regulations are not keeping up. “It feels like there are no adults in the room,” he said, suggesting that there is not enough oversight as AI becomes more powerful.&nbsp;He said that although OpenAI supports safe AI development, GPT-5 may have advanced faster than expected. The pressure to innovate is strong, but the systems to guide it safely are still being built.&nbsp;<h2>GPT-5 may take AI closer to AGI</h2>GPT-5 is expected to be much more advanced than GPT-4. Reports suggest it will include stronger reasoning, better memory, and improved multimodal abilities. Users might experience smoother interactions without switching between models.&nbsp;However, Altman has said GPT-4 “kind of sucks” compared to GPT-5, which has led to concerns about the next version being harder to control. Some experts believe GPT-5 might be a major step towards Artificial General Intelligence (AGI), where AI systems begin to think and act on their own across different tasks.&nbsp;Altman, who once thought AGI would arrive quietly, now sounds more cautious. He is worried about how fast it may come and whether society is ready for it.&nbsp;<h2>What’s behind the pressure?</h2>OpenAI is also facing pressure from investors. Microsoft has invested $13.5 billion in the company, and other players like Google DeepMind and Perplexity.ai are pushing ahead. Internally, there are reports that OpenAI could shift to a for-profit model and may even use the AGI label to change its current structure.&nbsp;According to The Guardian and The Verge, some insiders believe declaring AGI could help the company break certain partnership terms.&nbsp;While some critics think Altman’s statements are just promotional, his tone suggests real concern not about AI becoming evil but about people losing control of the tools they’ve created.

OpenAI CEO Sam Altman says he felt “scared” testing GPT‑5, likening it to the Manhattan Project. As the AI’s speed and capability leap ahead, He warns that society and governments aren’t keeping pace. Could GPT‑5 be a turning point? 

As OpenAI gets ready to launch GPT-5 in August 2025, CEO Sam Altman has shared his concerns about the rapid growth of artificial intelligence. Speaking on This Past Weekend podcast hosted by Theo Von, Altman admitted he felt “scared” while testing GPT-5. He compared its development to the Manhattan Project, where scientists who built the atomic bomb later worried about its consequences. His comments in podcast have brought more attention to the fast pace of AI development and raised questions about how prepared society is for such powerful tools. Altman says GPT-5 could be a turning point He explained that GPT-5 felt “very fast”, not just in processing speed but in how quickly AI is moving forward. “What have we done?” he asked during the interview, reflecting on whether the world is ready for what’s coming next. According to Altman, one major concern is that regulations are not keeping up. “It feels like there are no adults in the room,” he said, suggesting that there is not enough oversight as AI becomes more powerful. He said that although OpenAI supports safe AI development, GPT-5 may have advanced faster than expected. The pressure to innovate is strong, but the systems to guide it safely are still being built. GPT-5 may take AI closer to AGI GPT-5 is expected to be much more advanced than GPT-4. Reports suggest it will include stronger reasoning, better memory, and improved multimodal abilities. Users might experience smoother interactions without switching between models. However, Altman has said GPT-4 “kind of sucks” compared to GPT-5, which has led to concerns about the next version being harder to control. Some experts believe GPT-5 might be a major step towards Artificial General Intelligence (AGI), where AI systems begin to think and act on their own across different tasks. Altman, who once thought AGI would arrive quietly, now sounds more cautious. He is worried about how fast it may come and whether society is ready for it. What’s behind the pressure? OpenAI is also facing pressure from investors. Microsoft has invested $13.5 billion in the company, and other players like Google DeepMind and Perplexity.ai are pushing ahead. Internally, there are reports that OpenAI could shift to a for-profit model and may even use the AGI label to change its current structure. According to The Guardian and The Verge, some insiders believe declaring AGI could help the company break certain partnership terms. While some critics think Altman’s statements are just promotional, his tone suggests real concern not about AI becoming evil but about people losing control of the tools they’ve created.

OpenAI CEO Sam Altman says he felt “scared” testing GPT‑5, likening it to the Manhattan Project. As the AI’s speed and capability leap ahead, He warns that society and governments aren’t keeping pace. Could GPT‑5 be a turning point?&nbsp;

Why is Sam Altman worried about AI regulation as ChatGPT 5 launches in August?

With more than a trillion-dollar defence budget US is known for its sophisticated design, radar systems and codes. US fighter jets are sometimes costlier than a private island. But in a dogfight, Russian fighter jets do survive with their speed and firepower. The global fighter jet market presents a stark contrast. On the one hand, US Fighter jets such as the F-35 Lightning II and F-15EX cost as much as $80-$100 million per unit; on the other hand, Russian aircraft like the Su-30MKI, Su-35, and even the Su-57 fifth generation are significantly lower than that.<h2>Where is the difference?</h2>The difference lies in the design philosophy and advanced technology. For example, the F-22 Raptor has 8 million lines of code to manage its radar, infrared, and acoustic signatures. The planned production number of F-22 was cut from 750 units to just 195 due to its high production cost, and a perceived lack of air-to-air threats. On the contrary, Russian fighter jets are built for durability, ruggedness, and rapid deployability. It stems from the Soviet era philosophy of mechanical simplicity and modularity. Russian companies like Sukhoi and Mikoyan are built with government subsidies and do not function on a profit-maximising model. Russian jets are built for mass production and have long dominated the market for defence exports. During the Cold War era, especially in the 1980s, the Soviet Union accounted for approximately 40% of the worldwide military aircraft production.Gradually, the market share of Russian jets has decreased. According to a SIPRI report, in 2024, Russia is behind in aircraft exports after the US, France, and South Korea. As of 2025, the F-16 Falcon is the most used aircraft with over 2,000 in operation across 21 air forces.<h2>Technological sophistication and hidden costs</h2>The cost disparity between Russian and American fighter jets is not just about technological superiority and industrial pricing; it is more about divergence in defence doctrine. Even though Western jets are technologically superior when it comes to a dogfight, Russian jets can give them a run for their money. Russian fighter jets, particularly the Sukhoi Su-27 family and the Mikoyan MiG-29, are renowned for their exceptional manoeuvrability. This is due to the design features like thrust vectoring and HMCS integration. Western jets are based on stealth, advanced avionics, and radar are unmatchable in Beyond Visual Range (BVR) Combat. That is why many countries that are looking for affordability and powerful fighter jets are turning to Russia, instead of the US."While Russian jets are cheaper upfront, lifecycle costs and operational availability often tilt the balance toward Western platforms in certain mission profiles," said former Air Marshall Anil Chopra to Economic Times.India serves as a perfect case study for fighter jet markets. India had long used both Russian-origin platforms like the Su-30MKI and Western systems such as the Rafale. While the Su-30 offers affordability, the Rafale offers radar and electronic modernisation. With the recent surge of cheap drones and electronic warfare, the trends may soon favour rugged and low-cost manoeuvrability in fighter jets.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;

Why are Russian fighter jets so much cheaper than US ones? Russia's only stealth fighter SU-57, cost around $70 million per aircraft, but the F-22 Raptor costs around $350 million per aircraft. 

With more than a trillion-dollar defence budget US is known for its sophisticated design, radar systems and codes. US fighter jets are sometimes costlier than a private island. But in a dogfight, Russian fighter jets do survive with their speed and firepower. The global fighter jet market presents a stark contrast. On the one hand, US Fighter jets such as the F-35 Lightning II and F-15EX cost as much as $80-$100 million per unit; on the other hand, Russian aircraft like the Su-30MKI, Su-35, and even the Su-57 fifth generation are significantly lower than that. Where is the difference? The difference lies in the design philosophy and advanced technology. For example, the F-22 Raptor has 8 million lines of code to manage its radar, infrared, and acoustic signatures. The planned production number of F-22 was cut from 750 units to just 195 due to its high production cost, and a perceived lack of air-to-air threats. On the contrary, Russian fighter jets are built for durability, ruggedness, and rapid deployability. It stems from the Soviet era philosophy of mechanical simplicity and modularity. Russian companies like Sukhoi and Mikoyan are built with government subsidies and do not function on a profit-maximising model. Russian jets are built for mass production and have long dominated the market for defence exports. During the Cold War era, especially in the 1980s, the Soviet Union accounted for approximately 40% of the worldwide military aircraft production. Gradually, the market share of Russian jets has decreased. According to a SIPRI report, in 2024, Russia is behind in aircraft exports after the US, France, and South Korea. As of 2025, the F-16 Falcon is the most used aircraft with over 2,000 in operation across 21 air forces. Technological sophistication and hidden costs The cost disparity between Russian and American fighter jets is not just about technological superiority and industrial pricing; it is more about divergence in defence doctrine. Even though Western jets are technologically superior when it comes to a dogfight, Russian jets can give them a run for their money. Russian fighter jets, particularly the Sukhoi Su-27 family and the Mikoyan MiG-29, are renowned for their exceptional manoeuvrability. This is due to the design features like thrust vectoring and HMCS integration. Western jets are based on stealth, advanced avionics, and radar are unmatchable in Beyond Visual Range (BVR) Combat. That is why many countries that are looking for affordability and powerful fighter jets are turning to Russia, instead of the US. "While Russian jets are cheaper upfront, lifecycle costs and operational availability often tilt the balance toward Western platforms in certain mission profiles," said former Air Marshall Anil Chopra to Economic Times. India serves as a perfect case study for fighter jet markets. India had long used both Russian-origin platforms like the Su-30MKI and Western systems such as the Rafale. While the Su-30 offers affordability, the Rafale offers radar and electronic modernisation. With the recent surge of cheap drones and electronic warfare, the trends may soon favour rugged and low-cost manoeuvrability in fighter jets.

Why are Russian fighter jets so much cheaper than US ones? Russia's only stealth fighter SU-57, cost around $70 million per aircraft, but the F-22 Raptor costs around $350 million per aircraft.&nbsp;

Why Russian jets are so much cheaper: The shocking truth about Russian fighter jets

Nandan Nilekani says AI could deepen inequality, urges focus on public good. Infosys co-founder Nandan Nilekani has warned that artificial intelligence (AI) could lead to a concentration of wealth and power in the hands of a few. However, he focused that this should not stop countries like India from using AI to solve real-life problems in healthcare, education and language accessibility.Nilekani made the remarks during an event organised by the Asia Society. He said the global AI race may lead to unequal outcomes, but added, “We can’t fight that. Forces at play are much bigger than any of us.” Instead of chasing global dominance in AI, he suggested India should focus on using the technology for local needs.&nbsp;<h2>AI should serve public needs, not just profit</h2>Nilekani, who played a key role in building India's digital public infrastructure like Aadhaar and the Unified Payments Interface (UPI), believes AI must be directed towards inclusive outcomes. He said the country’s focus should not be on competing globally but on building solutions that directly improve lives.&nbsp;“Let’s use AI to improve healthcare systems, make education more accessible, and break language barriers,” he said, calling for socially meaningful applications of the technology. He pointed to India’s successful use of digital tools to solve large-scale problems as a guide for AI development.&nbsp;<h2>Not in favour of universal basic income</h2>Nilekani also pushed back against popular ideas like universal basic income (UBI), which some propose as a solution to job loss due to automation. “I don’t agree with that vision. It’s a dystopian idea,” he said. Instead, he suggested that AI should enhance human ability, allowing people to do more rather than replacing them.&nbsp;<h2>Simplicity is key to innovation</h2>Reflecting on India’s approach to digital design, Nilekani said that platforms like UPI were built with simplicity and scale in mind. “The document explaining the payments platform was just one page long,” he said, referring to work by Dilip Asbe and Pramod Verma. He highlighted this simplicity as crucial to building cost-effective, widely used platforms.&nbsp;His message was clear: while AI will create new challenges, India’s strength lies in designing public digital systems that are inclusive, efficient, and people-focused.

Infosys co-founder Nandan Nilekani warns that AI could deepen inequality if misused. He urges India to focus on public good over global AI dominance, applying AI in healthcare, education, and local languages to solve real problems.

Nandan Nilekani says AI could deepen inequality, urges focus on public good. Infosys co-founder Nandan Nilekani has warned that artificial intelligence (AI) could lead to a concentration of wealth and power in the hands of a few. However, he focused that this should not stop countries like India from using AI to solve real-life problems in healthcare, education and language accessibility. Nilekani made the remarks during an event organised by the Asia Society. He said the global AI race may lead to unequal outcomes, but added, “We can’t fight that. Forces at play are much bigger than any of us.” Instead of chasing global dominance in AI, he suggested India should focus on using the technology for local needs. AI should serve public needs, not just profit Nilekani, who played a key role in building India's digital public infrastructure like Aadhaar and the Unified Payments Interface (UPI), believes AI must be directed towards inclusive outcomes. He said the country’s focus should not be on competing globally but on building solutions that directly improve lives. “Let’s use AI to improve healthcare systems, make education more accessible, and break language barriers,” he said, calling for socially meaningful applications of the technology. He pointed to India’s successful use of digital tools to solve large-scale problems as a guide for AI development. Not in favour of universal basic income Nilekani also pushed back against popular ideas like universal basic income (UBI), which some propose as a solution to job loss due to automation. “I don’t agree with that vision. It’s a dystopian idea,” he said. Instead, he suggested that AI should enhance human ability, allowing people to do more rather than replacing them. Simplicity is key to innovation Reflecting on India’s approach to digital design, Nilekani said that platforms like UPI were built with simplicity and scale in mind. “The document explaining the payments platform was just one page long,” he said, referring to work by Dilip Asbe and Pramod Verma. He highlighted this simplicity as crucial to building cost-effective, widely used platforms. His message was clear: while AI will create new challenges, India’s strength lies in designing public digital systems that are inclusive, efficient, and people-focused.

Infosys co-founder Nandan Nilekani warns that AI could deepen inequality if misused. He urges India to focus on public good over global AI dominance, applying AI in healthcare, education, and local languages to solve real problems.

Infosys co-founder Nandan Nilekani says AI should solve real problems, not concentrate power

In modern warfare, sleek and stealthy fighter jets and supersonic missiles are being replaced by a low-cost buzzing drone with a propeller. The Iranian Shahed-136 is proven to be a game-changer. Often dubbed a ‘Kamikaze drone’ has emerged as one of the most lethal weapons in asymmetric warfare. It has been used widely from Russia, Ukraine, to Iran-backed militia in the Middle East despite its relatively unsophisticated design.<h2>Some of the best cases of Shahed-136 drone</h2>The most prominent and large-scale use of the Iranian Shahed-136 was by Russia in Ukraine, causing widespread power outages and civilian disruptions during the winter. For example, in late 2022 and early 2023, coordinated Russian attacks using swarms of Shaheed-136 crippled power grids in Kyiv, Odesa, and Kharkiv.Another example is, 2019 use by Houthi Rebels of ( probably an earlier version of Shahed-136) to target the Saudi Arabian Abqaiq–Khurais oil field, cutting down its production capacity by half.&nbsp;&nbsp;&nbsp;

Abqaiq–Khurais oil field

&nbsp;<h2>Why the Shahed-136 drone is so deadly?</h2>The 11-foot-long and 8-foot-wide Shaheed-136 drone weighs about 200 kilograms and flies at a speed of 185 km/h, and with 30–50 kg of warhead, explodes into the target like it is on a suicide mission. Thus, it is called a Kamikaze drone. It flies low and slow, often below radar coverage, can extend up to 1,000 to 2,500 kilometres range long inside the enemy lines and strikes with deadly precision.&nbsp;The engine is loud and rough and can be heard coming from far away. But it can be launched in a swarm and overwhelm enemy defences, as it is cheap $20,000–$50,000. When compared to the surface-to-air missiles, fighter jets, it takes $400,000 to $4 million or more to take down one drone. It's like trying to stop a bicycle with a sports car.These are frequently used to target power grids, civilian infrastructure, and military targets, especially in Ukraine, thus a significant tool of psychological warfare. It's lethal not because it's technologically superior but because it's cheap.&nbsp;

Iran's Shahed-136 kamikaze drone is redefining modern warfare –  cheap, deadly, and hard to stop. Here's why it's a game-changer in global conflicts.

In modern warfare, sleek and stealthy fighter jets and supersonic missiles are being replaced by a low-cost buzzing drone with a propeller. The Iranian Shahed-136 is proven to be a game-changer. Often dubbed a ‘Kamikaze drone’ has emerged as one of the most lethal weapons in asymmetric warfare. It has been used widely from Russia, Ukraine, to Iran-backed militia in the Middle East despite its relatively unsophisticated design. Some of the best cases of Shahed-136 drone The most prominent and large-scale use of the Iranian Shahed-136 was by Russia in Ukraine, causing widespread power outages and civilian disruptions during the winter. For example, in late 2022 and early 2023, coordinated Russian attacks using swarms of Shaheed-136 crippled power grids in Kyiv, Odesa, and Kharkiv. Another example is, 2019 use by Houthi Rebels of ( probably an earlier version of Shahed-136) to target the Saudi Arabian Abqaiq–Khurais oil field, cutting down its production capacity by half.

Iran's Shahed-136 kamikaze drone is redefining modern warfare – &nbsp;cheap, deadly, and hard to stop. Here's why it's a game-changer in global conflicts.

Shahed-136: The $20K Kamikaze Drone that’s outwitting million-dollar defences

Neuralink to study mind-controlled tech in UK patients with paralysis, Neuralink to test chip implants in the brain in the UK for people who are suffering from paralysisElon Musk’s Neuralink Neuralink has announced a clinical study in the United Kingdom to test how brain implants can help people with severe paralysis. In post on X Neuralink said it will work with University College London Hospitals (UCLH) and Newcastle Hospitals for the trial. &nbsp;

<blockquote class="twitter-tweet">🇬🇧 We’re launching a clinical study in Great Britain! In partnership with <a href="https://twitter.com/uclh?ref_src=twsrc%5Etfw">@uclh</a> and <a href="https://twitter.com/NewcastleHosps?ref_src=twsrc%5Etfw">@NewcastleHosps</a>, we’re exploring how our brain-computer interface can restore digital autonomy to individuals with severe paralysis by enabling them to control devices with their thoughts. <a href="https://t.co/gajGwIgm5a">pic.twitter.com/gajGwIgm5a</a>&mdash; Neuralink (@neuralink) <a href="https://twitter.com/neuralink/status/1950934482434802162?ref_src=twsrc%5Etfw">July 31, 2025</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

Neuralink said the study will include patients who are paralysed due to spinal cord injuries or a nervous system condition known as Amyotrophic Lateral Sclerosis (ALS).<h2> What will the study test?</h2>Neuralink’s brain chip is designed to allow users to control digital and physical devices just by thinking. The goal is to improve independence for people who cannot move their bodies due to neurological disorders.&nbsp;As of now, as per Neuralink, five people with severe paralysis are already using the chip to operate devices with their thoughts. The UK study will help the company learn more about how safe and effective the technology is in a clinical setting.&nbsp;<h2>Safety clearance and funding</h2>Neuralink started human trials earlier in 2024 after receiving approval from the US Food and Drug Administration (FDA). The FDA had earlier rejected the company’s application in 2022, citing safety concerns, but allowed its testing after few revisions were made by Neuralink.&nbsp;In its latest funding round last month, Neuralink raised $650 million. Since its launch in 2016, the company has raised around $1.3 billion and now it is valued at about $9 billion, according to PitchBook data.<h2>Why this trial matters</h2>This trial shows Neuralink’s first public clinical study outside the United States. Working with trusted UK hospitals like UCLH and Newcastle will give the project scientific and ethical oversight. The study could help shape how brain-computer interface (BCI) technology is used in healthcare.&nbsp;Brain implants like Neuralink’s chips are part of a wider trend in neurotechnology.&nbsp; The results of this trial could be very important and revolutionary for the future of treatment options for people with limited mobility and blind.&nbsp;As trials progress, doctors, patients and regulators will watch closely to see how well the chip works and whether it can safely offer real-life benefits to those who need it most.

Neuralink begins trial in UK to test brain chip implants, which is aimed at helping people with paralysis control devices using thought. For this, they have partnered with leading hospitals. Could this be a breakthrough in neurotechnology? Know below.

Neuralink to study mind-controlled tech in UK patients with paralysis, Neuralink to test chip implants in the brain in the UK for people who are suffering from paralysis Elon Musk’s Neuralink Neuralink has announced a clinical study in the United Kingdom to test how brain implants can help people with severe paralysis. In post on X Neuralink said it will work with University College London Hospitals (UCLH) and Newcastle Hospitals for the trial.

Neuralink begins trial in UK to test brain chip implants, which is aimed at helping people with paralysis control devices using thought. For this, they have partnered with leading hospitals. Could this be a breakthrough in neurotechnology? Know below.

Elon Musk’s Neuralink to test brain chip for paralysis patients in the UK

<h2>Apple to boost AI spending, open to buying bigger companies</h2>Apple CEO Tim Cook has said the company is ready to invest more in artificial intelligence (AI), and they also have the option to buy larger firms as it aims to match up with rivals like Microsoft and Google. He made these comments during Apple’s recent third-quarter earnings call, where he confirmed that Apple has already bought seven small companies this year. However, he added that the company is open to larger deals if they can speed up Apple's AI roadmap.&nbsp;<h2>Apple’s AI journey and current challenges</h2>While companies like Microsoft and Google have invested tens of billions of dollars into AI, as till now Apple has been more cautious. As per Reuters, Google plans to spend around $85 billion and Microsoft more than $100 billion, mostly on building data centres.&nbsp;Apple, on the other hand, has mainly relied on third-party cloud services and in-house development. Its partnership with OpenAI added ChatGPT features to iPhones, but internal upgrades like improvements to Siri have been delayed until 2025.&nbsp;"We're very open to M&amp;A that accelerates our roadmap," said Tim Cook during the call. “We are not stuck on a certain size company.”&nbsp;<h2>Bigger data centre investments ahead</h2>Apple’s Chief Financial Officer, Kevan Parekh, said the company plans to spend more on data centres, especially to support AI work that aligns with Apple’s strict privacy standards.&nbsp;"It's not going to be exponential growth, but it is going to grow substantially," Parekh said. “A lot of that's a function of the investments we're making in AI.”&nbsp;Apple’s typical data centre spending is relatively modest, usually only a few billion dollars per year; however, this is now set to increase.&nbsp;<h2>Could Apple acquire Perplexity AI?</h2>Reports by Bloomberg suggest Apple has shown interest in Perplexity, an AI-powered search engine that could challenge Google’s dominance. Apple has also confirmed in court that it is considering integrating more AI tools into Safari to make it a stronger search platform.&nbsp;These efforts come as the company faces uncertainty about its search deal with Google, which brings in billions annually but is under legal review in a US antitrust case.&nbsp;Apple’s last major deal was its $3 billion purchase of Beats Electronics in 2014. Whether the tech giant will now make another big move in the AI space remains to be seen.&nbsp;&nbsp;

Apple is increasing its AI investments and ready to acquire larger firms to speed up its AI development. While rivals like Microsoft and Google invest tens of billions, Apple remains cautious with new data centre plans and possible interest in startups like Perplexity. Read more below.

Apple to boost AI spending, open to buying bigger companies Apple CEO Tim Cook has said the company is ready to invest more in artificial intelligence (AI), and they also have the option to buy larger firms as it aims to match up with rivals like Microsoft and Google. He made these comments during Apple’s recent third-quarter earnings call, where he confirmed that Apple has already bought seven small companies this year. However, he added that the company is open to larger deals if they can speed up Apple's AI roadmap. Apple’s AI journey and current challenges While companies like Microsoft and Google have invested tens of billions of dollars into AI, as till now Apple has been more cautious. As per Reuters, Google plans to spend around $85 billion and Microsoft more than $100 billion, mostly on building data centres. Apple, on the other hand, has mainly relied on third-party cloud services and in-house development. Its partnership with OpenAI added ChatGPT features to iPhones, but internal upgrades like improvements to Siri have been delayed until 2025. "We're very open to M&A that accelerates our roadmap," said Tim Cook during the call. “We are not stuck on a certain size company.” Bigger data centre investments ahead Apple’s Chief Financial Officer, Kevan Parekh, said the company plans to spend more on data centres, especially to support AI work that aligns with Apple’s strict privacy standards. "It's not going to be exponential growth, but it is going to grow substantially," Parekh said. “A lot of that's a function of the investments we're making in AI.” Apple’s typical data centre spending is relatively modest, usually only a few billion dollars per year; however, this is now set to increase. Could Apple acquire Perplexity AI? Reports by Bloomberg suggest Apple has shown interest in Perplexity, an AI-powered search engine that could challenge Google’s dominance. Apple has also confirmed in court that it is considering integrating more AI tools into Safari to make it a stronger search platform. These efforts come as the company faces uncertainty about its search deal with Google, which brings in billions annually but is under legal review in a US antitrust case. Apple’s last major deal was its $3 billion purchase of Beats Electronics in 2014. Whether the tech giant will now make another big move in the AI space remains to be seen.

Apple is increasing its AI investments and ready to acquire larger firms to speed up its AI development. While rivals like Microsoft and Google invest tens of billions, Apple remains cautious with new data centre plans and possible interest in startups like Perplexity. Read more below.

Tim Cook’s bold AI move: How Apple plans to compete with Google and Microsoft

Google adds PDF, video and planning features to AI Mode in SearchGoogle is rolling out new updates to its AI Mode in Search, The new features aim to help students, teachers, and everyday users get more out of their searches by combining AI with useful tools like PDF reading, real-time video input, and a new planning tool called Canvas.&nbsp;The new AI Mode features were announced on Google's official blog and it is now being gradually introduced to desktop and mobile users, especially those enrolled in the Search Labs programme.&nbsp;

<h2>Ask questions using images and PDFs</h2>One of the key updates is the ability to ask questions about images and PDFs. Already available in the Google app for mobile, this feature is now coming to desktop browsers. Users will be able to upload PDF files such as lecture slides or study materials - and ask follow-up questions.&nbsp;AI Mode will read the document and cross-check information from across the web to give detailed answers. Support for more file types, including Google Drive files, is expected soon.<h2>Make study plans with Canvas</h2>Google has also introduced Canvas, a tool that helps users organise information and build plans across multiple sessions. For example, if a student needs to prepare for an exam, they can ask AI Mode to create a study guide. Clicking “Create Canvas” will open a side panel that updates in real-time based on new inputs and files. Canvas aims to make it easier to manage tasks like revision, project planning or even holiday prep. Users can add personal context using uploads such as syllabi or class notes.<h2>Real-time answers with Search Live</h2>Another major addition is Search Live with video input, which uses Google Lens to provide answers in real-time. This feature allows users to point their camera at something like a math problem or science experiment and ask a question. The AI will analyse the live feed and reply with relevant explanations, including links for deeper reading. This feature is part of Google's broader Project Astra initiative and is now being tested in the US.<h2>Learn more while browsing</h2>AI Mode is also being connected to Google Lens in Chrome. Soon, when users click the Chrome address bar, they’ll see an option to “Ask Google about this page.” For example, if a complex diagram appears in a PDF or website, users can ask for more explanation and receive a summary in the side panel, along with follow-up support using AI Mode.<h2>Designed for learning and discovery</h2>Google’s updates aim to make AI more accessible and helpful, especially for students. By blending traditional search with visuals, file uploads and real-time input, the tech giant hopes to improve how people explore and understand information online.&nbsp;These tools are being gradually rolled out, with more features expected in the coming months.

Recently, Google announced that they are adding new features to AI Mode in Search, including PDF reading, real-time video input, and a new planning tool called Canvas. These updates aim to help students and users get smarter, interactive answers. Read full details below.

Google adds PDF, video and planning features to AI Mode in Search Google is rolling out new updates to its AI Mode in Search, The new features aim to help students, teachers, and everyday users get more out of their searches by combining AI with useful tools like PDF reading, real-time video input, and a new planning tool called Canvas. The new AI Mode features were announced on Google's official blog and it is now being gradually introduced to desktop and mobile users, especially those enrolled in the Search Labs programme.

Recently, Google announced that they are adding new features to AI Mode in Search, including PDF reading, real-time video input, and a new planning tool called Canvas. These updates aim to help students and users get smarter, interactive answers. Read full details below.

Google AI mode now helps students plan, read, and ask smarter questions: Here’s what’s new in Google AI mode

ChatGPT introduces study mode to guide students, not give direct answers. ChatGPT has launched a new study mode, which is designed to help students learn responsibly rather than simply copying answers. This news feature aim to support students in understanding topics by offering step-by-step explanations, especially in subjects like maths, science, and exam preparation. The new feature is part of a broader response to concerns about the growing misuse of artificial intelligence tools in schools and universities.&nbsp;

ChatGPT’s study mode works

<h2>How ChatGPT’s study mode works</h2>Study mode can be accessed through the chatbot’s tools menu and is designed to act like a tutor. Instead of giving a complete answer, it breaks down topics and guides users through them.For example, when a student asks for help with Bayes’ theorem, the chatbot first asks about the user's level of understanding and learning goal. Then it explains the concept step by step, similar to how a teacher would walk through a lesson.&nbsp;Jayna Devani, OpenAI’s international education lead, said the aim is to show that ChatGPT can be used responsibly to support learning. We don’t believe these tools should be misused. This is a step toward encouraging responsible use,” she told this to The Guardian.&nbsp;

<h2>Tackling rising academic misuse</h2>Concerns about AI misuse are growing. According to The Guardian, nearly 7,000 confirmed cases of cheating using AI were recorded in UK universities during the 2023-24 academic year. That’s around 5.1 cases per 1,000 students - more than triple the rate from the year before. With more than a third of college-age students in the US using ChatGPT, and nearly 25 per cent of their queries related to homework. as per OpenAI data, there’s pressure to ensure AI helps, not harms, academic integrity.<h2>More than just text: PDF and image support</h2>Study mode also supports visual learning. Students can upload past exam papers or hand written notes, and the chatbot will help work through the material.&nbsp;OpenAI says it collaborated with teachers, researchers and education professionals to develop this New Study Mode tool.As per the company, it they encourage teachers and schools to set clear guidelines around AI use in the classroom. Devani said this is a broader industry issue that will require updated assessments and shared definitions of responsible AI use.&nbsp;Study mode is now live within the ChatGPT platform under the study and learn section. OpenAI says it hopes this tool will make ChatGPT a companion in learning rather than a shortcut to easy answers.

OpenAI has introduced a Study Mode in ChatGPT that tutors students instead of giving direct answers. It breaks down topics step by step, accepts PDFs and images, and supports guided learning in subjects like maths and science. Designed to promote responsible AI use. Read more below.

ChatGPT introduces study mode to guide students, not give direct answers. ChatGPT has launched a new study mode, which is designed to help students learn responsibly rather than simply copying answers. This news feature aim to support students in understanding topics by offering step-by-step explanations, especially in subjects like maths, science, and exam preparation. The new feature is part of a broader response to concerns about the growing misuse of artificial intelligence tools in schools and universities.

OpenAI has introduced a Study Mode in ChatGPT that tutors students instead of giving direct answers. It breaks down topics step by step, accepts PDFs and images, and supports guided learning in subjects like maths and science. Designed to promote responsible AI use. Read more below.

OpenAI has introduced ChatGPT Study Mode: It will now tutor students instead of just giving them answers

As artificial intelligence continues to grow in the entertainment industry, a new conflict is brewing all over the globe, especially in Europe. Voice actors, who lend their voices to films and TV shows, are worried that AI-generated voices may take over their work.&nbsp;One such voice actor is Boris Rehlinger, the French voice behind Hollywood stars like Ben Affleck and Joaquin Phoenix. Rehlinger has joined a campaign called TouchePasMaVF, aimed at protecting human dubbing against artificial voices. Speaking to Reuters, he said, “I feel threatened even though my voice hasn’t been replaced by AI yet.”<h2>Why dubbing is so important in Europe</h2>Dubbing is a big industry in Europe, especially with global platforms like Netflix relying on it to bring non-English content to more viewers. Shows like Squid Game and Lupin reached wide audiences due to high-quality dubbing.&nbsp;According to GWI, 43 per cent of viewers in countries like France, Germany, Italy and the UK prefer dubbed content over subtitles. Research by Business Research Insights shows that the dubbing market could grow from $4.3 billion in 2025 to $7.6 billion by 2033.&nbsp;However the rise of AI voice technology could change this. AI-generated voices can reduce costs and speed up production, making them attractive to streaming platforms, voice actors argue that this shift risks lowering quality and removing creative jobs.&nbsp;<h2>Voice artists call for better laws</h2>Across Europe, voice actor associations are asking for stronger legal protections. In Germany, a petition launched by the VDS voice actors' association gathered over 75,000 signatures. They are asking the EU to ensure that AI companies cannot use actors’ voices without consent or compensation.&nbsp;Cedric Cavatore, a VDS member and game voice actor, warned: “When intellectual property is no longer protected, no one will create anymore because they fear it will just be stolen.”&nbsp;VDS is also working with United Voice Artists, a network of 20,000 artists globally, to push for fair rules around AI.&nbsp;<h2>Studios are already testing AI dubbing</h2>Some studios are already experimenting with AI in dubbing. Example, a German-dubbed version of Polish crime series "Murderesses" used AI-generated voices, but it was removed after viewers complained about the poor quality.&nbsp;Meanwhile, startups like DeepDub and Flawless AI are promoting hybrid models using both AI and human voices. According to Audio Innovation Lab’s CEO Stefan Sporn, AI could change the way films are dubbed, but he believes humans will still be needed to add emotion and cultural accuracy.&nbsp;Netflix, which has used generative AI for visual effects in series like El Eternauta, has also tested AI for matching lip movements with dubbed dialogue. But the company has not commented on how widely it will use the tech in dubbing.&nbsp;<h2>What comes next?</h2>AI is already reshaping many industries, and dubbing is no exception. While the AI technology promises efficiency, many actors and creatives fear it could lead to job losses and reduced quality. The future of voice work may lie in finding the right balance, where AI supports the process, but humans still lead the performance.&nbsp;&nbsp;

As AI voices rise in films and TV, European voice actors fear losing jobs and quality. With dubbing vital for global platforms, the future of human voices is uncertain. What's really at stake? Read more below.

As artificial intelligence continues to grow in the entertainment industry, a new conflict is brewing all over the globe, especially in Europe. Voice actors, who lend their voices to films and TV shows, are worried that AI-generated voices may take over their work. One such voice actor is Boris Rehlinger, the French voice behind Hollywood stars like Ben Affleck and Joaquin Phoenix. Rehlinger has joined a campaign called TouchePasMaVF, aimed at protecting human dubbing against artificial voices. Speaking to Reuters, he said, “I feel threatened even though my voice hasn’t been replaced by AI yet.” Why dubbing is so important in Europe Dubbing is a big industry in Europe, especially with global platforms like Netflix relying on it to bring non-English content to more viewers. Shows like Squid Game and Lupin reached wide audiences due to high-quality dubbing. According to GWI, 43 per cent of viewers in countries like France, Germany, Italy and the UK prefer dubbed content over subtitles. Research by Business Research Insights shows that the dubbing market could grow from $4.3 billion in 2025 to $7.6 billion by 2033. However the rise of AI voice technology could change this. AI-generated voices can reduce costs and speed up production, making them attractive to streaming platforms, voice actors argue that this shift risks lowering quality and removing creative jobs. Voice artists call for better laws Across Europe, voice actor associations are asking for stronger legal protections. In Germany, a petition launched by the VDS voice actors' association gathered over 75,000 signatures. They are asking the EU to ensure that AI companies cannot use actors’ voices without consent or compensation. Cedric Cavatore, a VDS member and game voice actor, warned: “When intellectual property is no longer protected, no one will create anymore because they fear it will just be stolen.” VDS is also working with United Voice Artists, a network of 20,000 artists globally, to push for fair rules around AI. Studios are already testing AI dubbing Some studios are already experimenting with AI in dubbing. Example, a German-dubbed version of Polish crime series "Murderesses" used AI-generated voices, but it was removed after viewers complained about the poor quality. Meanwhile, startups like DeepDub and Flawless AI are promoting hybrid models using both AI and human voices. According to Audio Innovation Lab’s CEO Stefan Sporn, AI could change the way films are dubbed, but he believes humans will still be needed to add emotion and cultural accuracy. Netflix, which has used generative AI for visual effects in series like El Eternauta, has also tested AI for matching lip movements with dubbed dialogue. But the company has not commented on how widely it will use the tech in dubbing. What comes next? AI is already reshaping many industries, and dubbing is no exception. While the AI technology promises efficiency, many actors and creatives fear it could lead to job losses and reduced quality. The future of voice work may lie in finding the right balance, where AI supports the process, but humans still lead the performance.

As AI voices rise in films and TV, European voice actors fear losing jobs and quality. With dubbing vital for global platforms, the future of human voices is uncertain. What's really at stake? Read more below.

AI vs voice actors: Can artificial dubbing take over creative voice work?

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