Google Cloud announced that it is bringing OpenAI models into its model garden, with GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna now available on Google Cloud. Google Cloud says it is the only hyperscale cloud provider offering leading closed-source large models from all three of OpenAI, Anthropic, and Google, with more than 200 other models also on the platform.
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Google Cloud has begun offering Gemini, Claude, and OpenAI models on the same platform, becoming the only major cloud provider to list all three. The OpenAI models launched this time include GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna, initially available as a private preview to select enterprise customers, and they will appear in Gemini for Business and Google Antigravity, with fees billed uniformly through Google Cloud. Google says customer data will not be used for training, and the article also mentions the resource conflict between providing compute for cloud customers and its own Gemini team.
Google Cloud has begun offering Gemini, Claude, and OpenAI models on the same platform, becoming the only major cloud provider to list all three. The OpenAI models launched this time include GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna, initially available as a private preview to select enterprise customers, and they will appear in Gemini for Business and Google Antigravity, with fees billed uniformly through Google Cloud. Google says customer data will not be used for training, and the article also
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Google Cloud will open Vera Rubin-based A5X instances to all customers next month. Early tests by London advertising group WPP show that AI agent workloads that previously required multiple server clusters can run on a single A5X instance. Externally, racks are interconnected via ConnectX-9 network cards and Google's Virgo network, scaling across multiple sites to 960K Rubin GPUs; the design targets reinforcement learning, where faster CPU-to-GPU and GPU-to-GPU links can shorten each training round.
Google Cloud will open Vera Rubin-based A5X instances to all customers next month. Early tests by London advertising group WPP show that AI agent workloads that previously required multiple server clusters can run on a single A5X instance. Externally, racks are interconnected via ConnectX-9 network cards and Google's Virgo network, scaling across multiple sites to 960K Rubin GPUs; the design targets reinforcement learning, where faster CPU-to-GPU and GPU-to-GPU links can shorten each training ro
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OpenAI and Google have reached an AI distribution agreement. Within weeks, OpenAI will list GPT-6 Astra and Codex on Google Cloud's Model Garden, extending its model coverage to all three major U.S. clouds. Customers can purchase these models through Google Cloud Marketplace and count the spending toward their committed cloud consumption quotas, eliminating a separate procurement process; regulated customers can also run agent workflows built with OpenAI models within Google Cloud's access control and data governance tools. The agreement only became possible after April 27, 2026, when Microsoft's license to OpenAI technology became non-exclusive and Microsoft stopped paying OpenAI a revenue share on Azure resales; AWS had previously been first to launch Codex on Bedrock.
OpenAI and Google have reached an AI distribution agreement. Within weeks, OpenAI will list GPT-6 Astra and Codex on Google Cloud's Model Garden, extending its model coverage to all three major U.S. clouds. Customers can purchase these models through Google Cloud Marketplace and count the spending toward their committed cloud consumption quotas, eliminating a separate procurement process; regulated customers can also run agent workflows built with OpenAI models within Google Cloud's access contr
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Sundar Pichai said that within 72 hours of Google's Argon going live, usage approached 25 trillion tokens, roughly 3 times the usage of Gemini 3.0 over the same period. He also mentioned that the model is currently being served, but compute capacity is constrained. These remarks come from a video on Alex Kantrowitz's YouTube channel.
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Metis Reasoning, a London AI company co-founded by former Google DeepMind research lead and AlphaGo co-creator Thore Graepel, has officially launched, seeking a compute-efficient path distinct from the frontier models of Anthropic and OpenAI, and is believed to have raised tens of millions of dollars in initial funding. The company has a team of 12 people, including researchers, mathematicians, robotics experts, and technology entrepreneurs. It believes that LLMs have fundamental limitations in reasoning, that results are difficult to verify, and that there is a lack of audit trails; its approach is more verifiable, more robust, and safer, and it says it has already achieved some positive results on frontier reasoning problems at a cost far below that of frontier models. Metis has not yet announced a release date for its first AI model.
Metis Reasoning, a London AI company co-founded by former Google DeepMind research lead and AlphaGo co-creator Thore Graepel, has officially launched, seeking a compute-efficient path distinct from the frontier models of Anthropic and OpenAI, and is believed to have raised tens of millions of dollars in initial funding. The company has a team of 12 people, including researchers, mathematicians, robotics experts, and technology entrepreneurs. It believes that LLMs have fundamental limitations in
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OpenCode released an official statement on a large-scale distillation attack, saying the incident affected 1.4% of OpenCode Console users, specifically a subset of users who had linked external providers. Those users were notified by email that morning; anyone who did not receive an email was not affected. TestingCatalog reported that the balances of some OpenCode users on OpenAI, Anthropic, and Google were drained. The incident is still being handled, and OpenCode is working with the three companies to remediate it.
fficial statement on a large-scale distillation attack, saying the incident affected 1.4% of OpenCode Console users, specifically a subset of users who had linked external providers. Those users were notified by email that morning; anyone who did not receive an email was not affected. TestingCatalog reported that the balances of some OpenCode users on OpenAI, Anthropic, and Google were drained. The incident is still being handled, and OpenCode is working with the three companies to remediate it.
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Researchers at Xbow USA spent six days developing a Chrome exploit chain that first escaped the sandbox hosting the V8 JavaScript engine, then escaped Chrome's operating system process sandbox, allowing a Windows application to be launched from within a malicious webpage; Google has fixed the relevant flaws. They chose OpenAI's GPT-5.6 Sol to search Chrome source code, validate ideas, and build a proof of concept, while strategy formulation, search direction, and result verification remained the responsibility of the researchers. The AI compute cost $40,000, and they received a $250,000 bug bounty from Google, the first under the new 2026 rules.
he sandbox hosting the V8 JavaScript engine, then escaped Chrome's operating system process sandbox, allowing a Windows application to be launched from within a malicious webpage; Google has fixed the relevant flaws. They chose OpenAI's GPT-5.6 Sol to search Chrome source code, validate ideas, and build a proof of concept, while strategy formulation, search direction, and result verification remained the responsibility of the researchers. The AI compute cost $40,000, and they received a $250,000
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François Chollet stated that Gemini 4 Argon's performance on ARC-AGI-3 is close to Astra's, and Google has returned to the frontier. Data cited by ARC Prize shows that Google DeepMind's Gemini 4 Argon achieved 97.5% (provider adapter harness, $4.8K) and 49.8% (standard harness, $5.8K) on ARC-AGI-3, 91.3% at $0.32/task on ARC-AGI-2, and 98.5% at $0.16/task on ARC-AGI-1, making it the second frontier AI lab to exceed 95% on ARC-AGI-3.
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