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Rohan Paul says Anthropic's future models may approach the RSI threshold

6 reports2 discussions8 story updatesUpdated Nov 3 18:50

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Rohan Paul offered a judgment, suggesting that Anthropic's future models may be about to reach the recursive self-improvement (RSI) threshold. Related reports show that in a revised S-1A filed on Monday, Anthropic added a risk factor statement saying that its internal estimates and expectations for future models indicate the company may be about to reach its Responsible Scaling Policy's definition of "significantly accelerated progress brought about by AI," but it has not yet determined that any existing model has crossed that threshold. Another report says that under the company's safety guidelines, if AI-assisted research increases the speed of new model development by at least twofold, that is considered crossing the threshold, which does not mean AI can fully autonomously develop successor models; Anthropic also acknowledged that in the past it had only noticed significant acceleration after the fact. There have been no subsequent developments so far.

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Anthropic Revises Prospectus, Warns AI May Significantly Accelerate Its Own R&D

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1 confirmed developments

  1. Rohan Paul says Anthropic's future models may approach the RSI threshold

    Source:TechCrunch AI

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Nov 3

  1. heise online

    Anthropic Revises Prospectus, Warns AI May Significantly Accelerate Its Own R&D

    Anthropic stated in the revised prospectus that the company may be approaching a critical threshold at which AI accelerates its own R&D, but that no existing model has yet met that standard. Under the company's safety guidelines, if AI-assisted research increases the speed of developing new models by at least twofold, that is considered crossing the threshold, which does not mean AI can fully autonomously develop successor models. Anthropic also acknowledged that in the past it only noticed significant acceleration after the fact, and is considering additional safety requirements as Claude takes on more and more research; a September study showed that, weighted by work hours, in about a quarter of R&D tasks Claude can autonomously complete most of the work under human supervision.

  2. Numerama

    Anthropic Says It May Be Near the AI-Accelerated R&D Threshold, Acknowledges It Has Only Noticed Acceleration After the Fact

    In its IPO filing submitted to the U.S. SEC on November 2, Anthropic said it may "soon" reach the threshold defined in its safety policy as "significant acceleration in progress brought about by AI," a threshold corresponding to automated research doubling the pace of AI progress. The filing also acknowledged that the company sometimes identifies R&D acceleration only after it has already occurred, because many metrics lag; an earlier version of the filing on October 26 mentioned only that it might be discovered after the fact. Anthropic plans to strengthen tracking through an internal monitoring goal called "eyes on everything," with a target date of January 1, 2027, and said safety measures may become more frequent and stricter as models advance.

  3. Phoenix Tech

    Anthropic Warns of Recursive Self-Improvement Risk in S-1/A Filing

    In the risk disclosures of its S-1/A prospectus supplement updated on Monday, Anthropic stated that the company may soon reach the state of recursive self-improvement as defined in its Responsible Scaling Policy. The filing said the company has already used AI to develop new models and achieve some capability jumps, but the team did not notice at the time, and may in the future only notice after an acceleration in R&D has already occurred. Anthropic also stated that none of its existing models have crossed this threshold, and committed to retaining human involvement in frontier model R&D for the foreseeable future, and is considering revising its Responsible Scaling Policy.

  4. East Money

    Anthropic Prospectus Discloses Models Already Close to Having RSI Capabilities

    In the risk factors section of its amended S-1A filing, Anthropic said that internal evaluations of future models indicate the company may soon reach the definition of "significant acceleration in AI-driven development" in its Responsible Scaling Policy, but it has not yet classified any current model as exceeding that threshold. The filing also noted that the company has used AI to develop new models, yet did not at the time perceive any leap in these models' capabilities, and it committed to continuing to keep humans involved in R&D for the foreseeable future, while considering updating the RSP to ensure humans always remain in control of frontier model development.

  5. East MoneyRelated discussion

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    This post contributes to heat; it is not a formal report or confirmed fact.

  6. Cailian PressRelated discussion

    Cailian Press joined this discussion

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  7. TechCrunch AI

    Anthropic warns of approaching RSI capabilities in amended S-1

    In the amended S-1A filed on Monday, Anthropic added new risk factor language stating that its internal estimates and expectations for future models indicate the company may be approaching the definition of "significant acceleration in progress driven by AI" under its Responsible Scaling Policy, but that it has not yet deemed any existing model to have crossed that threshold. The filing also states that the company already uses AI in research and development, and notes that there have previously been cases where jumps in model capabilities were not identified in a timely manner; Anthropic commits to keeping humans in the R&D process for the foreseeable future and is considering updating its Responsible Scaling Policy to maintain human control over frontier model development.

  8. Rohan Paul

    Anthropic Updates S1/IPO Filing: Future Models May Be Approaching the Recursive Self-Improvement Threshold

    Rohan Paul, citing Anthropic's latest updated S1/IPO filing, said that future models may soon reach its recursive self-improvement (RSI) threshold. Anthropic's Responsible Scaling Policy defines this threshold as AI capability improving at twice the fastest sustained rate without significant AI assistance—that is, one year producing the equivalent of two normal years of progress—potentially because models are automating research and engineering. Within 8 months, Anthropic's internal use of Claude grew more than 250-fold, and by April its monthly value had exceeded the company's personnel spending.

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