ClaimsDario Amodei

“It actually turns out to be hard to change the name in the API,”

Dario Amodei, Anthropic CEO, interviewed 28 February 2025 Hard Fork - Anthropic's C.E.O. Dario Amodei on Surviving the A.I. Endgame Transcript (Podscripts (Hard Fork)) archived copy

Factual Their own work or organisation

Changing a model's name in Anthropic's API is hard, especially when it is offered to many partners and surfaces.

Own records only Only the person's or their organisation's own records speak to it, so it is not scored.

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.

Reasoning

Difficulty of renaming in the API is an internal engineering/partner matter with no independent record.

Cite this claim

Dario Amodei, “Changing a model's name in Anthropic's API is hard, especially when it is offered to many partners and surfaces.” (said 28 February 2025). Verdict: own records only. Reliability API, claim c_673fda4ab2cb, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_673fda4ab2cb

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

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More factual claims by Dario Amodei

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  2. Resolved true Factual 10 June 2026
    “Today I'm publishing a new essay, Policy on the AI Exponential.”

    On 2026-06-10 Dario Amodei published a new essay titled Policy on the AI Exponential.

  3. Mostly true Factual 5 June 2025
    “I have worked on AI for the last twelve years because I believe it could dramatically raise the quality of human life.”

    Dario Amodei has worked on AI for the last twelve years.

  4. Mostly true Factual 10 March 2025
    “Which I think had real commercial consequences, but set the culture of the company”

    Amodei said he thinks delaying Claude's release had real commercial consequences for Anthropic.

  5. Mostly true Factual 18 February 2025
    “When we founded Anthropic, we decided to make it a central part of the new company’s direction”

    When Anthropic was founded, its founders made mechanistic interpretability a central part of the company's direction, focused on LLMs.

All of them

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