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Tuesday

  1. Tech.eu

    Daytona raises $60M Series B at a $1B valuation

    Daytona, which provides cloud infrastructure for AI agents, has raised a $60 million Series B at a $1 billion valuation, bringing its total funding to $91 million, with FirstMark leading the round. Its platform provides agents with isolated Linux, Windows, and macOS compute environments through a single API, supports pausing, resuming, and continuing exploration of tasks, and its customers include Anthropic, OpenAI, NVIDIA, Cursor, and Cognition. The company says its revenue run rate grew 25x from January to September, and the new funds will be used to expand its agent cloud platform, scale compute capacity, and hire in San Francisco, Croatia, and Singapore.

    th FirstMark leading the round. Its platform provides agents with isolated Linux, Windows, and macOS compute environments through a single API, supports pausing, resuming, and continuing exploration of tasks, and its customers include Anthropic, OpenAI, NVIDIA, Cursor, and Cognition. The company says its revenue run rate grew 25x from January to September, and the new funds will be used to expand its agent cloud platform, scale compute capacity, and hire in San Francisco, Croatia, and Singapore.

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    #hot-signal#Industry news#Agents#English text is being prepared.
  4. China.com Technology

    OpenAI plans to raise $30 billion, targeting a $1.4 trillion valuation

    According to Reuters citing people familiar with the matter, OpenAI is accelerating its fundraising and plans to raise about $30 billion from investors, with its valuation expected to exceed $1.4 trillion, with SoftBank Group and MGX participating. OpenAI is pitching investors on $50 billion in annualized revenue and expects annualized revenue to reach $70 billion by year-end as the GPT-6 Astra model launches. The fundraising process is intended to lock in subscription commitments before Anthropic's expected mid-November IPO; OpenAI's valuation reached $852 billion after raising $122 billion in March this year.

    about $30 billion from investors, with its valuation expected to exceed $1.4 trillion, with SoftBank Group and MGX participating. OpenAI is pitching investors on $50 billion in annualized revenue and expects annualized revenue to reach $70 billion by year-end as the GPT-6 Astra model launches. The fundraising process is intended to lock in subscription commitments before Anthropic's expected mid-November IPO; OpenAI's valuation reached $852 billion after raising $122 billion in March this year.

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    #hot-signal#Industry news#OpenAI#Anthropic
  5. 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.
  7. 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.

    ounded 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

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    #hot-signal#Industry news#Reasoning#Agents

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.

    ger 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.

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

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