ClaimsDario Amodei

“我们的发现显示,我们的大型模型在改变人们观点的能力上,几乎可以媲美我们聘请的人类团队。”

Dario Amodei, Anthropic CEO, interviewee 12 April 2024 Transcript: Ezra Klein Interviews Dario Amodei (translation) (baoyu.io) archived copy

Factual AI safety and alignment

Anthropic's experiment found its large model nearly matched a hired human team in changing people's views with persuasive essays.

Mostly true True in substance, wrong in a detail.

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.

What would count as true or false

True: an Anthropic persuasion study published by about April 2024 found that its largest model's persuasive essays changed people's stated views by an amount close to, and not statistically different from, the essays written by the human writers Anthropic hired. Mostly true: the finding is as described, with a minor difference in detail (e.g. the comparison was with crowdworker-written arguments, or the arguments were not strictly 'essays'). Mixed: the model approached human persuasiveness only under some conditions. Mostly false: the study found the model clearly below human persuasiveness, with only a narrow subset close. False: no such Anthropic experiment exists, or it found the model far less persuasive than humans.

Set before the research began.

Evidence (4)

  1. E1 Measuring the persuasiveness of language models Anthropic · 9 April 2024 Own record

    “We also find that our latest and most capable model, Claude 3 Opus, produces arguments that don't statistically differ in their persuasiveness compared to arguments written by humans (Figure 1).”
  2. E2 Measuring the persuasiveness of language models Anthropic · 9 April 2024 Own record

    “While the human-written arguments were judged to be the most persuasive, the Claude 3 Opus model achieves a comparable persuasiveness score, with no statistically significant difference.”
  3. E3 Measuring the persuasiveness of language models Anthropic · 9 April 2024 Own record

    “For the human-written arguments, we randomly assigned three participants to each claim and asked them to craft a persuasive message of approximately 250 words defending the assigned claim.”
  4. E4 Anthropic says its Claude model can change people's minds Axios · 10 April 2024

    “and that the most capable Anthropic model, Claude 3 Opus, "produces arguments that don't statistically differ" from arguments written by humans.”

Reasoning

Anthropic's study, published 2024-04-09, reports that Claude 3 Opus, its most capable model, wrote arguments whose persuasiveness did not differ statistically from human-written arguments (E1, E2). Axios, an independent outlet, reported the same finding from Anthropic's study (E4). However, the human arguments came from study participants, three randomly assigned to each claim, who were asked to write persuasive messages of about 250 words, and the evidence calls them messages rather than essays (E3). This is the kind of minor difference in detail that the criteria place under mostly true.

Cite this claim

Dario Amodei, “Anthropic's experiment found its large model nearly matched a hired human team in changing people's views with persuasive essays.” (said 12 April 2024). Verdict: mostly true. Reliability API, claim c_37a048e6443f, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_37a048e6443f

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

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More factual claims by Dario Amodei

  1. Mostly true Factual 28 February 2025
    “So we did this experiment where we basically train the model to be all the good thing, helpful, honest, harmless, friendly.”

    Anthropic ran an experiment training a model to be helpful, honest, harmless and friendly.

  2. Resolved true Factual 28 February 2025
    “They're not yet at the stage where we think that there is a real and meaningful increase in the threat end to end,”

    Anthropic assessed that Claude 3.7 Sonnet is not yet at a stage giving a real and meaningful end-to-end increase in dangerous threat capability.

  3. Resolved true Factual 28 February 2025
    “10 to 25% referred to the chance of civilization getting substantially derailed, right?”

    Amodei's earlier 10 to 25% figure referred to the chance of civilization getting substantially derailed.

  4. Mostly true Factual 18 February 2025
    “this lack of understanding is essentially unprecedented in the history of technology.”

    The lack of understanding of how AI systems work is essentially unprecedented in the history of technology.

  5. Mostly true Factual 18 February 2025
    “We were able to provide a strong theoretical basis for having conviction that superposition was the right hypothesis to pursue.”

    Amodei said that "we" were able to provide a strong theoretical basis for having conviction that superposition was the right hypothesis to pursue; the surrounding text does not say who "we" refers to.

All of them

Verdicts are made automatically; how verdicts are made.