ClaimsEliezer Yudkowsky

“the combination of the two concepts is not a collision, but a structured imposition”

Eliezer Yudkowsky, author, MIRI paper 2007 Levels of Organization in General Intelligence (MIRI) archived copy

Factual Philosophy, ethics and society

Combining "triangular" with "light bulb" is a structured imposition of one concept on the other, not a collision: "triangular" is imposed on "light bulb."

Not researched Checkable, but outside the sample that was researched.

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

Said for an organisation they lead or work for; it counts on both records.

Cite this claim

Eliezer Yudkowsky, “Combining "triangular" with "light bulb" is a structured imposition of one concept on the other, not a collision: "triangular" is imposed on "light bulb."” (said 2007). Verdict: not researched. Reliability API, claim c_f5f92dc3682f, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_f5f92dc3682f

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

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More factual claims by Eliezer Yudkowsky

  1. Mostly true Factual 2007
    “but the process is not really open to human introspection.”

    The process of visualizing a triangular light bulb is not really open to human introspection.

  2. 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.

  3. 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.

  4. 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…

  5. 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.

All of them

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