Anthropic has generally found that hired physics PhDs can learn machine learning and contribute very quickly in most cases.
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
Anthropic's internal hiring experience with physics PhDs is not publicly documented.
Cite this claim
Dario Amodei, “Anthropic has generally found that hired physics PhDs can learn machine learning and contribute very quickly in most cases.” (said 8 August 2023). Verdict: own records only. Reliability API, claim c_1f81f11294e8, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_1f81f11294e8
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Dario Amodei
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Mostly true
“You probably need a thousand dollars to buy a GPU.”
Getting started in machine learning probably requires about a thousand dollars to buy a GPU.
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Mixed
“It’s easy to dismiss this as a one-off or curiosity, but we’ve repeatedly seen a pattern where AI performance in new intellectual domains goes from weak to superhuman in a matter of a few years.”
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Mostly false
“As we’ve demonstrated today, humans can collaborate with AI to perform the experiments, validate key results in a few weeks and, if necessary, work with the AI to iterate on what they find.”
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Resolved true
“I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.”
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Mostly true
“the public has a negative view of AI”
Verdicts are made automatically; how verdicts are made.