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Wednesday

  1. The Decoder

    Sam Altman Reportedly Presented Three AI Safety Endgame Options to Employees

    The Information, citing people familiar with the matter, reported that OpenAI CEO Sam Altman last week internally proposed three AI safety paths: establishing a regulatory body modeled on the International Atomic Energy Agency (IAEA), a lab merger plan known as the Demis Plan, and a single-developer compute monopoly plan known as the Eliezer Plan. Altman also complained that there are too few speed-limit proposals for AI development, while noting that OpenAI cannot afford to fall behind in the competition, and plans to decide on an IPO path within a year. The United States currently relies on voluntary pre-review of new models, and in June imposed export controls on Anthropic on the grounds that the Fable model posed a jailbreak risk.

    The Information, citing people familiar with the matter, reported that OpenAI CEO Sam Altman last week internally proposed three AI safety paths: establishing a regulatory body modeled on the International Atomic Energy Agency (IAEA), a lab merger plan known as the Demis Plan, and a single-developer compute monopoly plan known as the Eliezer Plan. Altman also complained that there are too few speed-limit proposals for AI development, while noting that OpenAI cannot afford to fall behind in the c

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    #ai-vertical#Safety / alignment#OpenAI#Industry news

Tuesday

  2. Fortune Tech

    Daytona raises a $60 million Series B at a $1 billion valuation

    Daytona, which provides cloud sandboxes for AI agents, has raised a $60 million Series B at a $1 billion valuation, led by FirstMark, bringing its total funding to about $91 million. Its customers include Anthropic, OpenAI, Nvidia, Cursor, Cognition, Meta, and Cohere, and CEO Burazin said the company's revenue run rate grew 25-fold between January and September. Daytona says it can provision a new sandbox for an agent within 60 milliseconds by pre-distributing snapshots of configured machines to servers' physical disks.

    loud sandboxes for AI agents, has raised a $60 million Series B at a $1 billion valuation, led by FirstMark, bringing its total funding to about $91 million. Its customers include Anthropic, OpenAI, Nvidia, Cursor, Cognition, Meta, and Cohere, and CEO Burazin said the company's revenue run rate grew 25-fold between January and September. Daytona says it can provision a new sandbox for an agent within 60 milliseconds by pre-distributing snapshots of configured machines to servers' physical disks.

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    #hot-signal#Industry news#Agents#English text is being prepared.
  4. Cailian Press

    SoftBank's credit risk rises to highest in nearly four years; shares halve from June peak amid AI financing pressure

    Amid AI-related financing and potential large-scale acquisitions, SoftBank Group's five-year credit default swap rate has risen to 432 basis points, the highest since early November 2022, while its share price has fallen about 50% from its June peak. SoftBank's total investment in OpenAI is about $64.6 billion, accounting for roughly 13% of OpenAI's shares as of early October 2026; to raise funds for the final stage of the investment, SoftBank issued $11.1 billion in high-yield bonds on September 24, 2026, with coupon rates on U.S. dollar bonds of different maturities at 8.625%, 9.25% and 9.75%, respectively.

    fault swap rate has risen to 432 basis points, the highest since early November 2022, while its share price has fallen about 50% from its June peak. SoftBank's total investment in OpenAI is about $64.6 billion, accounting for roughly 13% of OpenAI's shares as of early October 2026; to raise funds for the final stage of the investment, SoftBank issued $11.1 billion in high-yield bonds on September 24, 2026, with coupon rates on U.S. dollar bonds of different maturities at 8.625%, 9.25% and 9.75%,

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    #chinese#Industry news#OpenAI
  6. Tech.eu

    Former Google DeepMind researcher founds London AI company Metis Reasoning, focusing on compute-efficient reasoning

    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.

    er 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 th

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    #hot-signal#Industry news#Reasoning#Agents
  8. BBC TechnologySelected

    US Department of Homeland Security bans civilian government agencies from using DeepSeek

    The US Department of Homeland Security has ordered the removal of DeepSeek-related technology from most government systems, prohibiting civilian government agencies from using DeepSeek and any technology built with its models; the ban takes effect at the end of July, and agencies under the Department of Defense are not included. The report notes that DeepSeek said last year that training the initial version of its model cost about $6 million, while OpenAI's GPT-4-related costs were about $100 million, and that US companies such as Snowflake, Vercel, and OpenRouter have also integrated DeepSeek into their products.

    s, prohibiting civilian government agencies from using DeepSeek and any technology built with its models; the ban takes effect at the end of July, and agencies under the Department of Defense are not included. The report notes that DeepSeek said last year that training the initial version of its model cost about $6 million, while OpenAI's GPT-4-related costs were about $100 million, and that US companies such as Snowflake, Vercel, and OpenRouter have also integrated DeepSeek into their products.

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    #hot-signal#English text is being prepared.#DeepSeek#OpenAI

Monday

Sunday

Saturday

Friday

  1. Computerworld

    Xbow used $40,000 of AI compute to find a Chrome exploit chain, earning a $250,000 bounty from Google

    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.

    n 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

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    #hot-signal#Safety / alignment#Agents#OpenAI

Thursday