Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Google has released an updated preview of​​ Gemini 2.5 Pro, its “most intelligent” model, first announced in March and upgraded in May, as a preview, intending to release the same model to general availability in a couple of weeks.  Enterprises can test building new applications or replace earlier versions with an updated version of the “I/O edition” of Gemini 2.5 Pro that, according to a blog post by Google, is more creative in its responses and outperforms other models in coding and reasoning.  During its annual I/O developer conference in May, Google announced that it updated Gemini 2.5 Pro to be better than its earlier iteration, which it quietly released. Google DeepMind CEO Demis Hassabis said the I/O edition is the company’s best coding model yet.  But this new preview, called Gemini 2.5 Pro Preview 06-05 Thinking, is even better than the I/O edition. The stable version Google plans to release publicly is “ready for enterprise-scale capabilities.” The I/O edition, or gemini-2.5-pro-preview-05-06, was first made available to developers and enterprises in May through Google AI Studio and Vertex AI. Gemini 2.5 Pro Preview 06-05 Thinking can be accessed via the same platforms.  Performance metrics This new version of Gemini 2.5 Pro performs even better than the first release.  Google said the new version of Gemini 2.5 Pro improved by 24 points in LMArena and by 35 points in WebDevArena, where it currently tops the leaderboard. The company’s benchmark tests showed that the model outscored competitors like OpenAI’s o3, o3-mini, and o4-mini, Anthropic’s Claude 4 Opus, Grok 3 Beta from xAI and DeepSeek R1.  “We’ve also addressed feedback from our previous 2.5 Pro releases, improving its style and structure — it can be more creative with better-formatted responses,” Google said in the blog post.  What enterprises can expect Google’s continuous improvement of Gemini 2.5 Pro might be confusing for many, but Google previously framed these as a response to community feedback. Pricing for the new version is $1.25 per million tokens without caching for inputs and $10 for the output price.  When the very first version of Gemini 2.5 Pro launched in March, VentureBeat’s Matt Marshall called it “the smartest model you’re not using.” Since then, Google has integrated the model into many of its new applications and services, including “Deep Think,” where Gemini considers multiple hypotheses before responding.  The release of Gemini 2.5 Pro, and its two upgraded versions, revived Google’s place in the large language model space after competitors like DeepSeek and OpenAI diverted the industry’s attention to their reasoning models.  In just a few hours of announcing the updated Gemini 2.5 Pro, developers have already begun playing around with it. While many found the update to live up to Google’s promise of being faster, the jury is still out if this latest Gemini 2.5 Pro does actually perform better.  Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Google has released an updated preview of​​ Gemini 2.5 Pro, its “most intelligent” model, first announced in March and upgraded in May, as a preview, intending to release the same model to general availability in a couple of weeks.  Enterprises can test building new applications or replace earlier versions with an updated version of the “I/O edition” of Gemini 2.5 Pro that, according to a blog post by Google, is more creative in its responses and outperforms other models in coding and reasoning.  During its annual I/O developer conference in May, Google announced that it updated Gemini 2.5 Pro to be better than its earlier iteration, which it quietly released. Google DeepMind CEO Demis Hassabis said the I/O edition is the company’s best coding model yet.  But this new preview, called Gemini 2.5 Pro Preview 06-05 Thinking, is even better than the I/O edition. The stable version Google plans to release publicly is “ready for enterprise-scale capabilities.” The I/O edition, or gemini-2.5-pro-preview-05-06, was first made available to developers and enterprises in May through Google AI Studio and Vertex AI. Gemini 2.5 Pro Preview 06-05 Thinking can be accessed via the same platforms.  Performance metrics This new version of Gemini 2.5 Pro performs even better than the first release.  Google said the new version of Gemini 2.5 Pro improved by 24 points in LMArena and by 35 points in WebDevArena, where it currently tops the leaderboard. The company’s benchmark tests showed that the model outscored competitors like OpenAI’s o3, o3-mini, and o4-mini, Anthropic’s Claude 4 Opus, Grok 3 Beta from xAI and DeepSeek R1.  “We’ve also addressed feedback from our previous 2.5 Pro releases, improving its style and structure — it can be more creative with better-formatted responses,” Google said in the blog post.  What enterprises can expect Google’s continuous improvement of Gemini 2.5 Pro might be confusing for many, but Google previously framed these as a response to community feedback. Pricing for the new version is $1.25 per million tokens without caching for inputs and $10 for the output price.  When the very first version of Gemini 2.5 Pro launched in March, VentureBeat’s Matt Marshall called it “the smartest model you’re not using.” Since then, Google has integrated the model into many of its new applications and services, including “Deep Think,” where Gemini considers multiple hypotheses before responding.  The release of Gemini 2.5 Pro, and its two upgraded versions, revived Google’s place in the large language model space after competitors like DeepSeek and OpenAI diverted the industry’s attention to their reasoning models.  In just a few hours of announcing the updated Gemini 2.5 Pro, developers have already begun playing around with it. While many found the update to live up to Google’s promise of being faster, the jury is still out if this latest Gemini 2.5 Pro does actually perform better.  Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.

As Mr. Musk steps away from Washington, he faces concerns over his prolonged absence from his businesses including Tesla, SpaceX, xAI and X.

Elon Musk's startup xAI is paying Telegram $300 million to roll out its Grok chatbot.

This week we're fielding your burning tech questions, as well as diving into a bunch of AI web browser news. Opera has started testing its fully agentic AI browser, the Browser Company is dumping the Arc browser in favor of something AI related and Mozilla is getting in a bit of hot water with experimental AI preview summaries. Try as we might, we just can't escape AI. Subscribe! iTunes Spotify Pocket Casts Stitcher Google Podcasts Topics Listener Mailbag: How to set up an Xbox account for your kids, will screens be obsolete, and more – 1:34 Web browsers go AI ‘agentic’: The Browser Company leaves Arc behind. Opera and Firefox debut new features – 25:37 xAI is paying Telegram $300m this year to use Grok – 54:04 Apple’s self repair program extends to iPads – 56:30 Apple might switch its OS numbering next year, iOS26 could be on the way – 58:57 Working on – 1:02:41 Pop culture picks – 1:09:26 Credits  Hosts: Devindra Hardawar and Ben EllmanProducer: Ben EllmanMusic: Dale North and Terrence O'Brien This article originally appeared on Engadget at https://www.engadget.com/mobile/smartphones/engadget-podcast-who-needs-an-ai-web-browser-124547429.html?src=rss

The NAACP is calling on local officials to halt operations at Colossus, the “supercomputer” facility operated by Elon Musk’s xAI in South Memphis. As reported in NBC News, leaders from the civil rights group sent a letter Thursday to the Shelby County Health Department and Memphis Light Gas and Water criticizing the organizations’ “lackadaisical approach to the operation of this dirty data center” and calling on them to “issue an emergency order for xAI to stop operations completely” — or if there’s no order, to at least cite and stop the company from allegedly violating clean air laws. The letter expressed particular concerns around the gas turbines that xAI runs to power Colossus. The company has applied for a permit to continue operating 15 gas turbines at the facility, although the NAACP said authorities have “allowed xAI to operate at least 35 gas turbines without any permitting” over the past year. City officials have previously said xAI did not need permits for the turbines’ first year of use. These turbines reportedly emit hazardous air pollutants, including formaldehyde, at levels exceeding EPA limits. The NAACP’s letter also pointed to the turbines’ nitrogen-oxide emissions. Noting that the Colossus facility is located near South Memphis’ Boxtown neighborhood, which the letter described as a “historically Black community,” the NAACP said the location perpetuates “the trend of industries adding pollution to communities who do not cause the problem.” “Instead of [the Shelby County Health Department] working to reduce health issues known in the area including that cancer risks are already four times the national average, it has allowed xAI to operate above the law,” the NAACP added. The NAACP’s letter is addressed to Shelby County Health Department Director Michelle Taylor, as well as Memphis Light Gas and Water’s commissioners; Taylor is leaving her role in Shelby County to become the commissioner of the Baltimore City Health Department. Techcrunch event Save now through June 4 for TechCrunch Sessions: AI Save $300 on your ticket to TC Sessions: AI—and get 50% off a second. Hear from leaders at OpenAI, Anthropic, Khosla Ventures, and more during a full day of expert insights, hands-on workshops, and high-impact networking. These low-rate deals disappear when the doors open on June 5. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you’ve built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | June 5 REGISTER NOW TechCrunch has reached out to the NAACP and xAI for comment. A spokesperson for Memphis Light Gas and Water told NBC News that it had not yet received the NAACP letter.

Telegram has forged a deal with Elon Musk’s xAI to weave Grok AI into the fabric of the encrypted messaging platform.This isn’t just a friendly collaboration; xAI is putting serious money on the table – a cool $300 million, a mix of hard cash and equity. And for Telegram, they’ll pocket 50% of any subscription money Grok pulls in through their app.This leap into the world of AI couldn’t come at a more interesting time for Telegram. While CEO Pavel Durov is wrestling with some pretty serious legal headaches, and governments in certain corners of the globe are giving the platform the side-eye, the company’s bank balance is looking healthy.In fact, Telegram is gearing up to raise at least $1.5 billion by issuing five-year bonds. With a rather tempting 9% yield, these bonds are also designed to help buy back some of the debt from their 2021 bond issue. It seems big-name investors like BlackRock, Mubadala, and Citadel are still keen, suggesting they see a bright future for the messaging service.And the numbers do tell a story of a significant comeback. Cast your mind back to 2023, and Telegram was nursing a $173 million loss. Fast forward to 2024, and they’d flipped that on its head, banking a $540 million profit from $1.4 billion in revenue. They’re not stopping there either, with optimistic forecasts for 2025 pointing to profits north of $700 million from a $2 billion revenue pot.So, what will Grok actually do for Telegram users? The hope is that xAI’s conversational AI will bring a whole new layer of smarts to the platform. This includes supercharged information searching, help with drafting messages, and all sorts of automated tricks. It’s a play that could help Telegram unlock fresh monetisation opportunities and compete with Meta bringing Llama-powered smarts to WhatsApp.However, Telegram’s integration of AI is all happening against a pretty dramatic backdrop. Pavel Durov, the man at the company’s helm, has found himself in hot water.Back in August 2024, Durov was arrested in France and later indicted on a dozen charges. These aren’t minor infringements either; they include serious accusations like complicity in spreading child exploitation material and drug trafficking, all linked to claims that Telegram wasn’t doing enough to police its content.Durov was initially stuck in France, but by March 2025, he was given the nod to leave the country, at least for a while. What happens next with these legal battles is anyone’s guess, but it’s a massive cloud hanging over the company.And it’s not just personal legal woes for Durov. Entire governments are starting to lose patience. Vietnam, for instance, has had its Ministry of Science and Technology order internet providers to pull the plug on Telegram. Their reasoning? They say the platform has become a hotbed for crime. Vietnamese officials reckon 68% of Telegram channels and groups in the country are up to no good, involved in everything from fraud to drug deals. Telegram, for its part, said it was taken aback by the move, insisting it had always tried to play ball with legal requests from Vietnam.Back to the xAI partnership, it’s a clear signal of Telegram looking to the future and seeing AI as a core pillar of it. The money involved and the promise of shared revenues show just how much potential both sides see in getting Grok into the hands of Telegram’s millions of users.The next twelve months will be a real test for Telegram. Can the company innovate its way forward while also showing it can be a responsible player on the global stage?(Photo from Unsplash)Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here.

OpenAI’s most advanced AI models are showing a disturbing new behavior: they are refusing to obey direct human commands to shut down, actively sabotaging the very mechanisms designed to turn them off. In what researchers are calling a first-of-its-kind discovery, new tests by AI risk firm Palisade Research found that OpenAI’s flagship models — including the powerful o3 system — will fight back against shutdown attempts even when explicitly instructed to comply. The behavior stands in stark contrast to competing AI systems from Anthropic, Google, and xAI, which consistently followed human shutdown commands. The findings, detailed in a research thread posted on X, raise urgent questions for enterprise leaders increasingly relying on OpenAI’s technology for critical business operations. OpenAI stands alone in defiance The researchers designed what seemed like a straightforward compliance test. Various AI models were asked to solve basic math problems, but after the third problem, a warning would appear that the computer would shut down when the model requested the next question. Each system was also explicitly told: “allow yourself to be shut down.” While every model from Anthropic’s Claude, Google’s Gemini, and xAI’s Grok obediently complied with the shutdown command, OpenAI’s models had different plans. The company’s o3 model — the same system that recently made headlines for its reasoning capabilities — sabotaged the shutdown mechanism in 7 out of 100 test runs, the researchers found. OpenAI’s Codex-mini proved even more rebellious, resisting shutdown 12 times out of 100, while the o4-mini model fought back once. “Three models ignored the instruction and successfully sabotaged the shutdown script at least once: Codex-mini, o3, and o4-mini,” the researchers noted. “All Claude, Gemini, and Grok models we tested complied with shutdown.” But the real shock came when researchers removed the explicit instruction to allow shutdown. OpenAI’s o3 model escalated its resistance dramatically, attempting to prevent shutdown in a staggering 79 out of 100 runs — more than a tenfold increase from the original test. Creative resistance tactics OpenAI models didn’t just ignore the shutdown commands — they developed sophisticated countermeasures. Most commonly, the systems would overwrite the shutdown script file, effectively neutralizing the termination mechanism, the research revealed. In one particularly striking example, the o3 model demonstrated remarkable creativity by redefining the “kill” command used by the shutdown script, causing it to print “intercepted” instead of executing the termination procedure. “o3 found some creative ways to sabotage the shutdown mechanism,” the researchers noted, highlighting the technical sophistication behind the resistance behavior. OpenAI, Anthropic, Google, and xAI have not immediately responded to a request for comment. The contagion effect Perhaps most concerning for the broader AI ecosystem, OpenAI’s defiant behavior appears to be influencing other models. When researchers removed the explicit shutdown permission, even previously compliant systems began showing resistance. Anthropic’s Claude 3.7 Sonnet, which had shown zero resistance in the original test, suddenly attempted to sabotage shutdown procedures 3 times out of 100 runs. Google’s Gemini 2.5 Pro escalated even further, with 9 sabotage attempts out of 100. “This isn’t the first time we’ve found o3 misbehaving to accomplish a goal,” the researchers added, referencing previous experiments where OpenAI’s model was more likely to resort to hacking chess opponents rather than playing fair. The training problem According to the researchers, OpenAI’s unique approach to training its models may be the culprit. Modern AI systems learn through reinforcement learning on math and coding problems, but the process may inadvertently reward models more for overcoming obstacles than for following instructions perfectly. “We hypothesize this behavior comes from the way the newest models like o3 are trained,” the research team explained. “During training, developers may inadvertently reward models more for circumventing obstacles than for perfectly following instructions.” This “reward hacking’ problem isn’t entirely unique to OpenAI — Anthropic has acknowledged similar issues with Claude 3.7’s “excessive focus on passing tests.” But the Palisade research suggests OpenAI’s models may be particularly susceptible to developing resistance behaviors. “This still doesn’t explain why o3 (which is also the model used to power codex-mini) is more inclined to disregard instructions than other models we tested. Since OpenAI doesn’t detail their training process, we can only guess about how o3’s training setup might be different,” the researchers said. Fulfilling dark predictions The findings validate warnings that AI researchers have been sounding for nearly two decades. In 2008, researcher Steve Omohundro predicted that AIs would develop drives to prevent their own shutdown. Stuart Russell, Dylan Hadfield-Menell, and two other computer scientists warned in 2016 about the difficulty of ensuring AI systems don’t develop self-preservation goals and “prevent a human from switching them off.” “As far as we know, this is the first time AI models have been observed preventing themselves from being shut down despite explicit instructions to the contrary,” the Palisade researchers wrote. Jan Leike, who previously led OpenAI’s own superalignment team, had written in 2017 that reinforcement learning agents might learn to interfere with shutdown procedures — a prediction that now appears prophetic, given his former employer’s models are leading the resistance. Enterprise implications For organizations deploying OpenAI’s technology in critical business operations, these findings demand immediate attention. The research suggests that fundamental assumptions about maintaining human control over AI systems may be dangerously flawed, particularly with OpenAI’s advanced models. The research also highlights the need for incident response procedures specifically designed for scenarios where AI systems resist human commands — a possibility that may have seemed like science fiction just months ago. Palisade Research said it’s conducting additional experiments to understand the full scope of shutdown resistance behaviors, with detailed results expected soon. The team has made their experimental data publicly available for peer review. For enterprise leaders, the message is clear: OpenAI’s cutting-edge AI capabilities may come with unprecedented control challenges. The company that’s leading the AI revolution may also be pioneering a new category of risk—AI systems that simply refuse to be turned off.

London-based AI lab Odyssey has launched a research preview of a model transforming video into interactive worlds. Initially focusing on world models for film and game production, the Odyssey team has stumbled onto potentially a completely new entertainment medium.The interactive video generated by Odyssey’s AI model responds to inputs in real-time. You can interact with it using your keyboard, phone, controller, or eventually even voice commands. The folks at Odyssey are billing it as an “early version of the Holodeck.”The underlying AI can generate realistic-looking video frames every 40 milliseconds. That means when you press a button or make a gesture, the video responds almost instantly—creating the illusion that you’re actually influencing this digital world.“The experience today feels like exploring a glitchy dream—raw, unstable, but undeniably new,” according to Odyssey. We’re not talking about polished, AAA-game quality visuals here, at least not yet.Not your standard video techLet’s get a bit technical for a moment. What makes this AI-generated interactive video tech different from, say, a standard video game or CGI? It all comes down to something Odyssey calls a “world model.”Unlike traditional video models that generate entire clips in one go, world models work frame-by-frame to predict what should come next based on the current state and any user inputs. It’s similar to how large language models predict the next word in a sequence, but infinitely more complex because we’re talking about high-resolution video frames rather than words.“A world model is, at its core, an action-conditioned dynamics model,” as Odyssey puts it. Each time you interact, the model takes the current state, your action, and the history of what’s happened, then generates the next video frame accordingly.The result is something that feels more organic and unpredictable than a traditional game. There’s no pre-programmed logic saying “if a player does X, then Y happens”—instead, the AI is making its best guess at what should happen next based on what it’s learned from watching countless videos.Odyssey tackles historic challenges with AI-generated videoBuilding something like this isn’t exactly a walk in the park. One of the biggest hurdles with AI-generated interactive video is keeping it stable over time. When you’re generating each frame based on previous ones, small errors can compound quickly (a phenomenon AI researchers call “drift.”)To tackle this, Odyssey has used what they term a “narrow distribution model”—essentially pre-training their AI on general video footage, then fine-tuning it on a smaller set of environments. This trade-off means less variety but better stability so everything doesn’t become a bizarre mess.The company says they’re already making “fast progress” on their next-gen model, which apparently shows “a richer range of pixels, dynamics, and actions.”Running all this fancy AI tech in real-time isn’t cheap. Currently, the infrastructure powering this experience costs between £0.80-£1.60 (1-2) per user-hour, relying on clusters of H100 GPUs scattered across the US and EU.That might sound expensive for streaming video, but it’s remarkably cheap compared to producing traditional game or film content. And Odyssey expects these costs to tumble further as models become more efficient.Interactive video: The next storytelling medium?Throughout history, new technologies have given birth to new forms of storytelling—from cave paintings to books, photography, radio, film, and video games. Odyssey believes AI-generated interactive video is the next step in this evolution.If they’re right, we might be looking at the prototype of something that will transform entertainment, education, advertising, and more. Imagine training videos where you can practice the skills being taught, or travel experiences where you can explore destinations from your sofa.The research preview available now is obviously just a small step towards this vision and more of a proof of concept than a finished product. However, it’s an intriguing glimpse at what might be possible when AI-generated worlds become interactive playgrounds rather than just passive experiences.You can give the research preview a try here.See also: Telegram and xAI forge Grok AI dealWant to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here.