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Thursday

Wednesday

  1. Platformer

    Does intelligence need a hard cap?

    At The Curve conference held in Berkeley, several speakers proposed that limits should be considered on the level of intelligence large language models can reach; depending on how strict the limits are, this could amount to a de facto ban on superintelligence. Anthropic CEO Dario Amodei has called for "some kind of speed limit" on recursive self-improvement, but any such limit would require enforcement capabilities that do not currently exist.

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    #ai-news#Industry news#Safety / alignment#OpenAI
  4. TechCrunch AI

    AI compute startup Lambda seeks $4 billion pre-IPO funding at a $14.5 billion valuation

    Cloud service provider Lambda is raising up to $4 billion at a $14.5 billion pre-money valuation, led by Coatue Management and Blackstone, in what may be its last private funding round before its planned 2027 IPO. According to an investor letter seen by The Wall Street Journal, Lambda's backlog grew from $15 billion in June to $50 billion in September, with most of the increase coming from a $35 billion commitment signed by Anthropic at the end of August. The report said Lambda also raised an additional $1 billion in debt last week, with data center construction financed mainly through debt.

    led by Coatue Management and Blackstone, in what may be its last private funding round before its planned 2027 IPO. According to an investor letter seen by The Wall Street Journal, Lambda's backlog grew from $15 billion in June to $50 billion in September, with most of the increase coming from a $35 billion commitment signed by Anthropic at the end of August. The report said Lambda also raised an additional $1 billion in debt last week, with data center construction financed mainly through debt.

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    #tech-media#Industry news#English text is being prepared.#English text is being prepared.

Tuesday

  2. Interconnects

    Why the Online Risk Debate Has Lost Focus: Open Weights, Ideology, and Trade-offs

    Nathan Lambert argues that the current debate over the online risks of open models has reached a stalemate: although Anthropic's report on GLM-5.3 as an offensive cyber tool is technically sound, it sidesteps key questions such as "what would happen if open models were banned" and "why do Chinese companies believe it is safe to release them." He points out that most recorded cyberattacks to date have been carried out by closed models, and that if open-weight models were banned on cyber-risk grounds, it might also be necessary to ban public APIs for frontier closed models.

    Nathan Lambert argues that the current debate over the online risks of open models has reached a stalemate: although Anthropic's report on GLM-5.3 as an offensive cyber tool is technically sound, it sidesteps key questions such as "what would happen if open models were banned" and "why do Chinese companies believe it is safe to release them." He points out that most recorded cyberattacks to date have been carried out by closed models, and that if open-weight models were banned on cyber-risk grou

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    #newsletter#Industry news#Safety / alignment#Open-source ecosystem