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Daily brief, Oct 11, 2026

Microsoft's Nadella unusually calls for an 'emergency brake' on advanced AI, clashing with claims that frontier labs already run recursive self-improvement. ChatGPT subscriptions now double as Devin, while the XRP Ledger patched a flaw that could mint unlimited XRP and China proposed a national blockchain network.

Compiled by AI from the last 24 hours of the board. It may contain mistakes, so check the original posts.

  1. 1

    AI Peaked at #2

    Nadella calls for AI 'emergency brake'

    Microsoft's CEO publicly urging a brake on advanced AI cuts against the racing posture of big labs, likely shaping regulation and tempo.

  2. 2

    AI Peaked at #1

    ChatGPT subscriptions now include Devin

    Personal Go, Plus and Pro plans can connect to Devin and draw down its quota, bundling coding agents into general AI subscriptions.

  3. 3

    AI Peaked at #1

    Frontier labs run recursive self-improvement

    A claim that all frontier labs run recursive self-improvement loops far ahead of public view would rewrite AI capability and safety debates.

  4. 4

    Crypto Peaked at #1

    XRP Ledger patches critical mint flaw

    The flaw could have let attackers mint unlimited XRP from nothing, directly threatening the ledger's supply and token trust.

  5. 5

    Crypto Peaked at #1

    China proposes national blockchain network

    Officials folding a national blockchain network into economic strategy signals blockchain moving toward infrastructure status in China.

  6. 6

    Finance Peaked at #2

    US housing affordability hits new low

    Over $120,000 income needed for a median home, 7.24% mortgage rates and 31-year-low sales make macro pressure concrete.

  7. 7

    Open Source Peaked at #1

    Nous launches coding agentic model

    MISSINGNO. emphasizes token efficiency and agentic reasoning, free for a limited time on Nous Portal, adding momentum to open coding agents.

  8. 8

    Open Source Peaked at #2

    HuggingFace open model downloads drop

    A ~30% drop in tracked top open LLM downloads may signal shifting momentum between open and closed model competition.

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