Daniela Amodei said she thinks many of Anthropic's best ML and research engineers came from software or infrastructure engineering backgrounds and had not necessarily worked in ML before.
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
It rests on her impression of internal staff backgrounds.
Cite this claim
Daniela Amodei, “Daniela Amodei said she thinks many of Anthropic's best ML and research engineers came from software or infrastructure engineering backgrounds and had not necessarily worked in ML before.” (said 4 March 2022). Verdict: own records only. Reliability API, claim c_b9bd1ca37e28, method 0.1.0+28da144b, dataset release v1.1.2. https://epistacklabs.com/claims/c_b9bd1ca37e28
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Daniela Amodei
-
Mostly true
“some of our employees identify as effective altruists which means they're especially worried about the potential for long term harms from AI.”
-
Mostly false
“This was an immovable baseline established from day one.”
-
Mostly true
“In the lab, Claude designed new protein binders from scratch.”
In laboratory work, Anthropic's Claude designed new protein binders from scratch.
-
Mostly true
“including open-source code much of the internet runs on, before attackers could exploit them.”
-
Mostly true
“It’s an early step in drug design that usually takes a specialist weeks or months per target.”
Verdicts are made automatically; how verdicts are made.