ClaimsRay Kurzweil

“They didn’t see any advantage of computation that was not important.”

Ray Kurzweil, interviewee 22 August 2023 Ray Kurzweil: 2022-2025 Updates (transcripts) (LifeArchitect.ai) archived copy

Factual Technology

Decision-makers who turned down an early computer saw no importance in computation.

Unresolvable The public record could not settle it.

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

Reasoning

Concerns the inner views and reasoning of unspecified decision-makers; too vague to test.

Cite this claim

Ray Kurzweil, “Decision-makers who turned down an early computer saw no importance in computation.” (said 22 August 2023). Verdict: unresolvable. Reliability API, claim c_91b9f076c6a7, method 0.1.0+28da144b, dataset release v1.1.2. https://epistacklabs.com/claims/c_91b9f076c6a7

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

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More factual claims by Ray Kurzweil

  1. Mostly false Factual March 2025
    “It’s true of every type of technology.”

    Exponential growth applies to every type of technology, not just computers.

  2. Mostly true Factual October 2024
    “Neuralink, for example, is implanted in two paralyzed patients.”

    Neuralink has been implanted in two paralyzed patients who can control a computer with their brain.

  3. Mixed Factual 23 October 2000
    “Yet the “immune system” that has evolved in response to this challenge has been largely effective.”

    The 'immune system' that evolved in response to computer viruses has been largely effective.

  4. Mostly false Factual 23 October 2000
    “Although destructive, self-replicating software entities do cause damage from time to time, the injury is but a small fraction–much less than one-tenth of 1 percent–of the benefit we receive from the…”

    Damage from self-replicating software is much less than one-tenth of 1 percent of the benefit received from computers and communication links.

  5. Mostly false Factual 4 June 2026
    “That was not true a year ago. But that’s true today.”

    Large language models being roughly 50% better than human doctors at diagnosing conditions and recommending treatments was not true a year ago but is true today.

All of them

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