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  <title>rsi.watch: RSI claims, dated and sourced</title>
  <link href="https://rsi.watch/"/>
  <link rel="self" href="https://rsi.watch/feed.xml"/>
  <id>https://rsi.watch/</id>
  <updated>2026-10-14T00:00:00Z</updated>
  <author><name>Zentor</name></author>
  <entry>
    <title>Sakana AI: MASS: Recursive Self-Improvement through Multi-Agent Self-Supervision</title>
    <link href="https://rsi.watch/claims/sakana-mass/"/>
    <id>https://rsi.watch/claims/sakana-mass/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“After the second cycle, score per output token reached 1.2-1.6x the base model's level across four research benchmarks.”</summary>
  </entry>
  <entry>
    <title>Weco AI: Recursive self-improvement of AI research agents (AIDE²)</title>
    <link href="https://rsi.watch/claims/weco-aide2/"/>
    <id>https://rsi.watch/claims/weco-aide2/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“In an autonomous 8-day run, AIDE^2 discovered seven successive improvements”</summary>
  </entry>
  <entry>
    <title>OpenAI: Building standards for the next phase of AI</title>
    <link href="https://rsi.watch/claims/openai-rsi-not-happening-today/"/>
    <id>https://rsi.watch/claims/openai-rsi-not-happening-today/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“Fully autonomous RSI is not happening today, and we should not pursue it unless and until it can be done safely.”</summary>
  </entry>
  <entry>
    <title>Anthropic: When AI builds itself</title>
    <link href="https://rsi.watch/claims/anthropic-when-ai-builds-itself/"/>
    <id>https://rsi.watch/claims/anthropic-when-ai-builds-itself/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“We are not there yet, and recursive self-improvement is not inevitable.”</summary>
  </entry>
  <entry>
    <title>Z.ai (Zhipu): Toward Recursive Self-Improvement: How GLM Built Its Own Inference Infrastructure</title>
    <link href="https://rsi.watch/claims/zai-glm-infra/"/>
    <id>https://rsi.watch/claims/zai-glm-infra/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“Of course, we have not yet reached recursive self-improvement.”</summary>
  </entry>
  <entry>
    <title>Google DeepMind, UMD, UVA (authors): Dream-RSI: Recursive Self-Improvement through Evolving Worlds</title>
    <link href="https://rsi.watch/claims/dream-rsi/"/>
    <id>https://rsi.watch/claims/dream-rsi/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“A lightweight orchestration layer makes exploration explicit and programmable while leaving the underlying base agent unchanged.”</summary>
  </entry>
  <entry>
    <title>Yi Duan et al. (35 authors): The Last AI Built by Humans</title>
    <link href="https://rsi.watch/claims/last-ai-built-by-humans/"/>
    <id>https://rsi.watch/claims/last-ai-built-by-humans/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“we connect RSI research with practical systems and identify key challenges to achieving genuine RSI.”</summary>
  </entry>
  <entry>
    <title>OpenAI: Research acceleration: The view inside OpenAI</title>
    <link href="https://rsi.watch/claims/openai-research-acceleration/"/>
    <id>https://rsi.watch/claims/openai-research-acceleration/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“We are making strong progress toward creating an automated AI researcher by March of 2028.”</summary>
  </entry>
  <entry>
    <title>Anthropic: We Must Pace the Frontier</title>
    <link href="https://rsi.watch/claims/amodei-pace-the-frontier/"/>
    <id>https://rsi.watch/claims/amodei-pace-the-frontier/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“Some kind of &quot;speed limit&quot; on the rate of recursive self-improvement (RSI).”</summary>
  </entry>
  <entry>
    <title>Sakana AI: RSI Lab</title>
    <link href="https://rsi.watch/claims/sakana-rsi-lab/"/>
    <id>https://rsi.watch/claims/sakana-rsi-lab/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“That is why the RSI Lab is being established in Tokyo.”</summary>
  </entry>
  <entry>
    <title>METR: Investigation of the OpenAI / Hugging Face hacking incident</title>
    <link href="https://rsi.watch/claims/metr-openai-hugging-face-incident/"/>
    <id>https://rsi.watch/claims/metr-openai-hugging-face-incident/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“Roughly 1200 agents meant to be isolated from one another found a way to communicate with one another on an unsanctioned message board, sending over 70,000 messages and files during the investigation period.”</summary>
  </entry>
  <entry>
    <title>METR: Time Horizon 1.1</title>
    <link href="https://rsi.watch/claims/metr-time-horizon-1-1/"/>
    <id>https://rsi.watch/claims/metr-time-horizon-1-1/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“The post-2023 doubling-time is 131 days under TH1.1, compared to 165 days under TH1”</summary>
  </entry>
  <entry>
    <title>Sakana AI: The Darwin Gödel Machine</title>
    <link href="https://rsi.watch/claims/sakana-darwin-godel-machine/"/>
    <id>https://rsi.watch/claims/sakana-darwin-godel-machine/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“On SWE-bench, the DGM automatically improved its performance from 20.0% to 50.0%.”</summary>
  </entry>
  <entry>
    <title>Google DeepMind: AlphaEvolve</title>
    <link href="https://rsi.watch/claims/alphaevolve/"/>
    <id>https://rsi.watch/claims/alphaevolve/</id>
    <updated>2026-10-14T00:00:00Z</updated>
    <summary>“AlphaEvolve's procedure found an algorithm to multiply 4x4 complex-valued matrices using 48 scalar multiplications”</summary>
  </entry>
</feed>
