Declaraciones

  1. regulation 2026-02-14
    Urges a federal law forbidding machine output from being presented as human.
    «we must pass federal laws forbidding machine output from being presented as humans»
  2. agi timeline 2025-12-20
    Predicts AGI will not be reached in 2026 or 2027.
    «We won't get to AGI in 2026 (or 7).»
  3. other 2025-12-20
    Views 2025 as the peak of the AI bubble and the moment Wall Street began losing confidence.
    «2025 will be known as the year of the peak bubble... Wall Street began to lose confidence in generative AI.»
  4. agi timeline 2025-10-18
    Sharp restatement: AGI is not imminent and LLMs are not the royal road to it.
    «AGI is not imminent, and LLMs are not the royal road to getting there.»
  5. products 2025-08-09
    Calls GPT-5 overhyped and merely an incremental advance that felt rushed.
    «GPT-5 is just the latest incremental advance. And it felt rushed at that.»
  6. safety 2025-06-15
    Argues LLMs are fundamentally blind to truth and will remain unreliable.
    «large language models are and will remain fundamentally blind to truth»
  7. agi timeline 2025-06-07
    After reasoning models fail, concludes treating LLMs as a direct route to AGI is self-deception.
    «anybody who thinks LLMs are a direct route to AGI is kidding themselves»
  8. compute 2025-02-09
    Reiterates scaling laws are empirical generalizations, not physical laws, and pure scaling won't reach AGI.
    «so-called scaling laws were merely empirical generalizations rather than physical laws»
  9. agi timeline 2025-01-01
    Predicts AGI will not arrive in 2025, contrary to Elon Musk's claims.
    «We will not see artificial general intelligence this year, despite claims by Elon Musk to the contrary.»
  10. compute 2024-11-09 ↺ cambió de postura
    Says the field finally admits LLM scaling is running out — vindication of his 'wall' thesis.
    «scaling is running out, and that truth is, at last coming out»
  11. agi timeline 2024-06-15
    Argues LLMs on their own will never be AGI and scaling alone was never enough.
    «LLMs are not AGI, and (on their own) never will be; scaling alone was never going to be enough.»
  12. regulation 2023-05-16
    In Senate testimony calls for AI oversight, likening current systems to an uncontrollable force.
    «We have built machines that are like bulls in a china shop—powerful, reckless, and difficult to control.»

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