ClaimsEliezer Yudkowsky

“In terms of what we've already witnessed, I would not quite go so far as to say that we've seen unprecedented returns yet.”

Eliezer Yudkowsky, interviewee September 2025 Interview with Eliezer Yudkowsky on Rationality and Systematic Misunderstanding of AI Alignment (LessWrong)

Factual AI, the economy and work

Yudkowsky said that AI adoption has been unprecedentedly fast, but that he would not quite go so far as to say it has yet produced unprecedented returns.

Unresolvable The public record could not settle it.

Factual: Statements about the present or the past, checked against the record: did they hold up?

What would count as true or false

The proposition reports what Yudkowsky said, so judge whether the statement was made, as of September 2025. True: a transcript or recording from about September 2025 shows Yudkowsky saying both that AI adoption has been unprecedentedly fast and that he would not quite say AI has yet produced unprecedented returns. Mostly true: the returns statement is made as quoted, and the adoption-speed point is paraphrased with minor differences or is implied by the context. Mixed: only one of the two parts appears. Mostly false: the quoted words appear, but the context shows a materially different meaning. False: the transcript shows he did not say this or said the opposite.

Set before the research began.

Evidence (2)

  1. E1 Are We Past Peak iPhone? + Eliezer Yudkowsky on A.I. Doom podscripts.co (transcript of the NYT Hard Fork podcast) · 12 September 2025

    “Then AI Dumer-in-Chief, Elizer Yudkowski, is here to discuss his new book.”

  2. E2 Are We Past Peak iPhone? + Eliezer Yudkowsky on A.I. Doom podscripts.co (transcript of the NYT Hard Fork podcast) · 12 September 2025

    “Let's bring in Eliezer.”

Reasoning

E1 and E2 are excerpts from a 12 September 2025 transcript of the Hard Fork podcast. They show that Yudkowsky was interviewed in that episode about his new book. Neither quote contains the sentence about unprecedented returns or any remark about how fast AI has been adopted. Without the passage itself, the evidence cannot show whether either part of the statement was made.

Cite this claim

Eliezer Yudkowsky, “Yudkowsky said that AI adoption has been unprecedentedly fast, but that he would not quite go so far as to say it has yet produced unprecedented returns.” (said September 2025). Verdict: unresolvable. Reliability API, claim c_512ab1f045d0, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_512ab1f045d0

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Eliezer Yudkowsky, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More factual claims by Eliezer Yudkowsky

  1. Mixed Factual 20 April 2026
    “I was observing that obvious-seeming hypothesis myself, sometime around the time of GPT 3.5.”

    Yudkowsky himself observed the persona-selection-like hypothesis around the time of GPT 3.5.

  2. Mostly true Factual 20 April 2026
    “The test-passing preference stands on its own once formed.”

    Once formed through RL training, an LLM's test-passing preference stands on its own and is not overridden by its inference of what the user wants.

  3. Mostly true Factual 20 April 2026
    “LLMs surely have neural circuits they learned to model text streams from fictional and nonfictional personas that are not lying, deceiving, cheating.”

    LLMs surely have neural circuits they learned to model text streams from fictional and nonfictional personas that are not lying, deceiving…

  4. Mostly true Factual 20 April 2026
    “The predict-as-if-honest circuitry is contextual, invoked to predict some streams of text but not others.”

    LLMs' predict-as-if-honest circuitry is contextual, invoked for predicting some text streams but not others.

  5. Mostly true Factual 20 April 2026
    “Presumably, somewhere along the way LLMs learn a dispreference for tests that don't pass, independently of how that gets prevented or whether the new plan does what the user really wanted.”

    Presumably, at some point during RL training on code-passing tasks, LLMs learn a dispreference for failing tests, independent of how that is avoided or whether the user's real goal is met.

All of them

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