ClaimsPeople

Daniela Amodei

Daniela Amodei is listed as co-founder and President of Anthropic on the company's leadership page and in her Wikipedia article.

461 claims collected, 150 researched, 88 resolved. Report of 10 November 2026, method 0.1.0+28da144b.

Scores by kind of claim

Each kind of claim is scored on its own, out of 100: the share that held up, with the range it likely falls in. Fewer resolved claims give a wider range.

  • Factual claims

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

    83 78 88

    High confidence, 86 factual claims resolved. From 10 documents, 2021 to 2026; 17 documents sampled from 29 candidates found.

    Not scored: 23 unresolvable, 17 checkable only against their own records.

    See the factual claims

  • Predictions

    Statements about events outside the person's control, checked once they fell due: did they come true?

    Insufficient record: 2 predictions resolved, 5 needed for a score.

    Not scored: 20 unresolvable.

    Does not yet allow for how likely each prediction was when made.

    See the predictions

  • Promises

    Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?

    Insufficient record: 0 promises resolved, 5 needed for a score.

    Not scored: 1 unresolvable, 1 not yet due.

    See the promises

All types combined: 83 (likely 78 to 88, high confidence), from 86 claims: 86 factual claims. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.

Daniela Amodei's claims

88 claims

88 claims, sorted by newest said. Choose a claim to read it in full.
VerdictKindSaidClaimTopic
Mostly false Factual 27 Oct 2026 Daniela Amodei said the decision to keep ads out of Claude was an immovable baseline established from day one. Factual · 27 Oct 2026 Their own work or organisation
Resolved true Factual 21 Oct 2026 The dashboards showed more than 6,000 women came for prenatal care but only 1,762 delivered with a healthcare worker present. Factual · 21 Oct 2026 AI capabilities
Mostly true Factual 21 Oct 2026 In laboratory work, Anthropic's Claude designed new protein binders from scratch. Factual · 21 Oct 2026 AI capabilities
Resolved true Factual 21 Oct 2026 Anthropic asked 81,000 Claude users in 159 countries what they wanted from AI, and many described wanting more time for life outside work. Factual · 21 Oct 2026 AI, the economy and work
Mostly true Factual 21 Oct 2026 Cyberdefenders directed Claude to find more than 33,000 critical and high-severity flaws in widely used software, including open-source code, before attackers could exploit them. Factual · 21 Oct 2026 AI capabilities
Resolved true Factual 21 Oct 2026 Claude-built dashboards for an International Rescue Committee team in Burkina Faso flagged a spike of 25,000 pneumonia cases. Factual · 21 Oct 2026 AI capabilities
Mostly true Factual 21 Oct 2026 Designing protein binders is an early step in drug design that usually takes a specialist weeks or months per target. Factual · 21 Oct 2026 Biosecurity
Resolved true Factual 21 Oct 2026 Anthropic announced that, subject to stockholder approval, it is setting aside at least 5% of its shares to fund projects pursuing its public benefit charter. Factual · 21 Oct 2026 Their own work or organisation
Mostly true Factual 29 Jun 2026 Technology companies have information about how AI can be abused because they see it daily, via safeguards and security teams. Factual · 29 Jun 2026 AI safety and alignment
Resolved true Factual 29 Jun 2026 Anthropic's Claude sometimes gives wrong answers. Factual · 29 Jun 2026 AI capabilities
Resolved true Factual 29 Jun 2026 The majority of Anthropic's revenue comes from businesses. Factual · 29 Jun 2026 Their own work or organisation
Mostly true Factual 29 Jun 2026 Amodei says Claude has been really powerful in helping her spot patterns about people she works with. Factual · 29 Jun 2026 AI, the economy and work
Resolved true Factual 29 Jun 2026 The AI industry is a high capital expenditure business. Factual · 29 Jun 2026 Economics and markets
Mostly true Factual 29 Jun 2026 AI companies must buy compute far in advance, essentially making a bet on future demand. Factual · 29 Jun 2026 AI compute, hardware and data
Resolved true Factual 29 Jun 2026 Training AI models takes a lot of compute, and compute is in scarce supply. Factual · 29 Jun 2026 AI compute, hardware and data
Mostly true Factual 29 Jun 2026 Even in other parts of America, people do not necessarily know how to use AI tools with very high fluency. Factual · 29 Jun 2026 AI, the economy and work
Mostly true Factual 29 Jun 2026 Data collected by Anthropic shows people in developing countries are much more optimistic about AI than people in higher-income countries. Factual · 29 Jun 2026 Philosophy, ethics and society
Mostly true Factual 29 Jun 2026 Seven people originally left OpenAI to found Anthropic: Daniela and Dario Amodei and five co-founders. Factual · 29 Jun 2026 Their own work or organisation
Resolved true Factual 29 Jun 2026 Stripe had about 40 people when Daniela Amodei joined it. Factual · 29 Jun 2026 Their own work or organisation
Resolved true Factual 29 Jun 2026 Daniela Amodei graduated from college in 2009. Factual · 29 Jun 2026 Their own work or organisation
Mostly true Factual 29 Jun 2026 With Project Glasswing, Anthropic did not release a new class of model to all customers because it was not yet confident enough in its safety. Factual · 29 Jun 2026 AI safety and alignment
Mostly true Factual 9 May 2026 Anthropic and OpenAI have already purchased a lot of compute for the future, which is very costly. Factual · 9 May 2026 AI compute, hardware and data
Resolved true Factual 9 May 2026 Anthropic incorporated as a public benefit corporation. Factual · 9 May 2026 Their own work or organisation
Mostly true Factual 9 May 2026 Anthropic made a conscious decision not to run ads on Claude. Factual · 9 May 2026 Their own work or organisation
Resolved true Factual 9 May 2026 Training AI models is extremely expensive and requires a massive amount of compute, which is limited in supply. Factual · 9 May 2026 AI compute, hardware and data
Resolved true Factual 9 May 2026 Anthropic is open about the fact that its AI models sometimes make things up or get confused. Factual · 9 May 2026 AI capabilities
Resolved true Factual 9 May 2026 Anthropic publishes an economic index showing how people are using AI today. Factual · 9 May 2026 AI, the economy and work
Resolved true Factual 9 May 2026 Medical research shows people with a good relationship with their doctor tend to have better clinical outcomes. Factual · 9 May 2026 Science and research methods
Resolved true Factual 9 May 2026 Anthropic conducted a qualitative survey speaking with 81,000 people about how they use AI. Factual · 9 May 2026 AI, the economy and work
Resolved true Factual 9 May 2026 Claude sometimes gives incorrect answers. Factual · 9 May 2026 AI capabilities
Resolved true Factual 9 May 2026 Global AI adoption is not evenly spread across countries and demographics. Factual · 9 May 2026 AI, the economy and work
Resolved true Factual 9 May 2026 The AI industry is a high capital expenditure business that carries inherent risks. Factual · 9 May 2026 Economics and markets
Mostly true Factual 9 May 2026 AI companies must buy compute far in advance. Factual · 9 May 2026 AI compute, hardware and data
Mostly true Factual 9 May 2026 Anthropic has detailed, real-time knowledge of how technology can be misused because it sees misuse in action every day, with its safeguards and security teams monitoring how people try to poke holes. Factual · 9 May 2026 AI safety and alignment
Mostly true Factual 9 May 2026 People in developing countries are usually way more optimistic about AI, seeing it as a huge opportunity and a potential equalizer, while people in the US, Europe and parts of Asia tend to feel more anxious. Factual · 9 May 2026 AI, the economy and work
Mostly true Factual 9 May 2026 Daniela Amodei started working at Stripe when it had about 40 people. Factual · 9 May 2026 Their own work or organisation
Mostly true Factual 9 May 2026 AI is currently enabling workers rather than replacing them outright. Factual · 9 May 2026 AI, the economy and work
Mostly true Factual 9 May 2026 Amodei said her organisation had developed a powerful new class of model and, in a decision she linked to Project Glasswing, held off wide release because it felt it needed more time to ensure the model was safe. Factual · 9 May 2026 AI safety and alignment
Resolved true Factual 9 May 2026 Daniela Amodei graduated college in 2009 with a literature degree. Factual · 9 May 2026 Their own work or organisation
Mostly true Factual 9 May 2026 Anthropic chose not to release its latest model widely because of concerns about cyber misuse. Factual · 9 May 2026 AI safety and alignment
Mostly true Factual 9 May 2026 Daniela Amodei spent nearly six years at Stripe working closely with engineers. Factual · 9 May 2026 Their own work or organisation
Resolved true Factual 7 Feb 2026 A lot of current AI models are very good at STEM. Factual · 7 Feb 2026 AI capabilities
Mostly true Factual 27 Jan 2026 Anthropic achieved its revenue growth using a fraction of the compute its competitors have. Factual · 27 Jan 2026 Economics and markets
Mostly true Factual 27 Jan 2026 Anthropic is structured so that research, product and policy are integrated, with model builders working closely with those studying how to make models safer. Factual · 27 Jan 2026 Their own work or organisation
Resolved true Factual 2026 Anthropic decided not to put ads in Claude, a decision partly based on the belief that AI technology is different because of how personal user conversations are. Factual · 2026 Their own work or organisation
Resolved true Factual 2026 The founders considered the name "Sparrow Systems" before choosing Anthropic. Factual · 2026 Their own work or organisation
Resolved true Factual 2026 Anthropic is open about the fact that its models sometimes make things up. Factual · 2026 AI capabilities
Mixed Factual 2026 Amodei said she thought, as she was remembering it, that some early model names were bird names, and gave BERT as an example. Factual · 2026 Their own work or organisation
Resolved true Factual 2026 The founders named the company Anthropic after rejecting bird-themed name ideas. Factual · 2026 Their own work or organisation
Resolved true Factual 29 Apr 2022 Anthropic announced a new fundraising round on 2022-04-29. Factual · 29 Apr 2022 Their own work or organisation
Mostly true Factual 4 Mar 2022 Daniela Amodei said she thinks some of "our employees" identify as effective altruists, which she said means they are especially worried about the potential for long-term harms from AI. Factual · 4 Mar 2022 Field building and careers
Mostly true Factual 4 Mar 2022 The goal of NIST's AI Risk Management Framework is to develop more monitoring tools for AI risk and its management. Factual · 4 Mar 2022 AI policy and governance
Mostly false Factual 4 Mar 2022 Shareholders cannot sue Anthropic for failing to maximize financial returns when those conflict with its public benefit. Factual · 4 Mar 2022 Economics and markets
Mostly true Factual 4 Mar 2022 As of 2022 there is no required disclosure of whether a person is interacting with an AI system or a human. Factual · 4 Mar 2022 AI policy and governance
Mostly true Factual 4 Mar 2022 Daniela Amodei said Dario Amodei was getting a PhD in a technical field at the time and so was not working directly on the interest area she described, which she connected with her start in international development. Factual · 4 Mar 2022 Their own work or organisation
Mostly false Factual 4 Mar 2022 Anthropic's PBC status legally ensures that, if profit and public benefit conflict, public benefit prevails. Factual · 4 Mar 2022 Economics and markets
Resolved true Factual 4 Mar 2022 As a public benefit corporation, Anthropic has more legal protection from shareholders if it fails to maximize financial interests in favor of its public benefit mission. Factual · 4 Mar 2022 Economics and markets
Resolved true Factual 4 Mar 2022 Anthropic conducts interpretability research aimed at seeing inside language models and understanding their workings. Factual · 4 Mar 2022 AI safety and alignment
Mostly true Factual 4 Mar 2022 Public benefit corporations are fairly similar to C corporations, a standard corporate entity. Factual · 4 Mar 2022 Economics and markets
Resolved true Factual 4 Mar 2022 Stripe had about 40 people when Daniela Amodei joined. Factual · 4 Mar 2022 Their own work or organisation
Resolved true Factual 4 Mar 2022 Anthropic is currently focused on research and development rather than deployment of products for revenue. Factual · 4 Mar 2022 Their own work or organisation
Mostly true Factual 4 Mar 2022 People use online therapists, and sometimes the advice is backed by an AI system. Factual · 4 Mar 2022 Technology
Mostly true Factual 4 Mar 2022 Anthropic is hiring a lot of people as of March 2022. Factual · 4 Mar 2022 Their own work or organisation
Resolved true Factual 4 Mar 2022 Anthropic chose to incorporate as a public benefit corporation when it was founded. Factual · 4 Mar 2022 Their own work or organisation
Mixed Factual 2022 Members of Anthropic's founding group had previously done a lot of safety research together at different organizations. Factual · 2022 Their own work or organisation
Mostly true Factual 2022 As of 2022 Anthropic pursues its mission primarily through generative model research and AI safety research. Factual · 2022 Their own work or organisation
Mixed Factual 2022 Other researchers and engineers have been using Anthropic's released interpretability tools and watching its videos. Factual · 2022 Science and research methods
Mostly true Factual 2022 Daniela Amodei said she thinks part of what Anthropic's AI safety research is seeing is that different sized models exhibit different safety issues. Factual · 2022 AI safety and alignment
Resolved true Factual 2022 A few jobs before Anthropic, Daniela Amodei worked at the tech startup Stripe. Factual · 2022 Their own work or organisation
Mixed Factual 2022 Anthropic's internal scientists red-team its models by asking them questions to find unwanted behaviors. Factual · 2022 AI safety and alignment
Resolved true Factual 2022 Daniela Amodei joined the startup Stripe when it had about 40 people. Factual · 2022 Their own work or organisation
Resolved true Factual 2022 Daniela Amodei joined Stripe when it was not much bigger than Anthropic is now. Factual · 2022 Their own work or organisation
Mostly true Prediction 2022 She said she hoped, and thought, that in the next few years the AI industry would see something closer to standard-setting organizations, industry groups or trade associations setting out what a safe model looks like. Prediction · 2022 AI policy and governance
Mostly true Factual 2022 As of 2022 there are no clear guidelines for AI labs on how to avoid advancing race dynamics or do the right thing on safety. Factual · 2022 AI policy and governance
Mostly true Factual 2022 Daniela Amodei began her career in international development. Factual · 2022 Their own work or organisation
Resolved true Factual 2022 As of 2022 there are no clear guidelines for AI developers on how to avoid advancing race dynamics or do the right thing on safety. Factual · 2022 AI policy and governance
Resolved true Prediction 2022 Daniela Amodei said she hoped, and thought it likely, that in the next few years AI would see something closer to standard-setting organizations, industry groups or trade associations setting out what a safe model looks like or how to move systems towards being safer. Prediction · 2022 AI policy and governance
Resolved true Factual 2022 Anthropic does societal impacts research on the short- and medium-term effects of language models. Factual · 2022 AI safety and alignment
Mostly true Factual 2022 Stripe, when she worked there, operated in the highly regulated financial services space with many checks and balances on the company. Factual · 2022 Their own work or organisation
Resolved true Factual 2022 Anthropic released a writeup on Garcon, the infrastructure tool its team used for interpretability research. Factual · 2022 Science and research methods
Resolved true Factual 2022 Anthropic trains large-scale generative models and does safety research on those models. Factual · 2022 Their own work or organisation
Resolved true Factual 2022 Anthropic was founded at the beginning of 2021 by a team of seven people who moved together from OpenAI. Factual · 2022 Their own work or organisation
Resolved true Factual 2022 Anthropic does scaling laws research to predict empirically what properties emerge in language models at various sizes. Factual · 2022 AI capabilities
Resolved true Factual 2022 Dario Amodei was a very early fan of GiveWell, she thought around 2007 or 2008. Factual · 2022 Philosophy, ethics and society
Mostly true Factual 2022 Anthropic believes some of the larger language models it has seen have figured out how to lie unintentionally. Factual · 2022 AI safety and alignment
Mostly true Factual 2022 Training large generative models is becoming almost prohibitively expensive. Factual · 2022 AI compute, hardware and data
Resolved true Factual 28 May 2021 Daniela Amodei said she and colleagues had been working during 2021 on Anthropic, which they announced on 2021-05-28. Factual · 28 May 2021 Their own work or organisation
Mostly true Factual 28 May 2021 Anthropic is an AI safety and research company. Factual · 28 May 2021 Their own work or organisation
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Daniela Amodei

Open its page

Factual AI capabilities

“Sometimes Claude is wrong.”

Daniela Amodei, Anthropic president 29 June 2026 Daniela Amodei Says Curiosity Is Underrated (Stanford GSB)

Anthropic's Claude sometimes gives wrong answers.

Resolved true The record shows it happened or was so.

The second judge would not resolve this claim; the verdict shown is the first judge's.

Said for an organisation they lead or work for; it counts on both records.

What would count as true or false

Judge as of 29 Jun 2026. True if documented evidence shows that Claude models sometimes give factually incorrect answers, for example Anthropic's model cards or system cards reporting hallucination or error rates, Anthropic's product disclaimers that Claude can make mistakes, or benchmark results below 100% accuracy. Mostly true if errors are documented only in narrow areas. False only if the evidence showed Claude to be reliably error-free, which would also rule out the intermediate verdicts.

Evidence

  1. Asking a chatbot about your ballot? Read this first The San Francisco Standard · 5 October 2026
    “Claude, Anthropic’s chatbot, incorrectly stated that Nithya Raman lost the primary race for Los Angeles mayor.”
  2. Consumer Terms of Service - Claude Anthropic · 28 October 2026 Own record
    “Outputs may not always be accurate and may contain material inaccuracies even if they appear accurate because of their level of detail or specificity.”
  3. Claude’s Constitution Anthropic · 28 October 2026 Own record
    “Training models is a difficult task, and Claude’s behavior might not always reflect the constitution’s ideals.”

Reasoning

E1 is an independent news report. It documents that Claude gave a factually incorrect answer, saying Nithya Raman lost the Los Angeles mayoral primary. E2, Anthropic's consumer terms, states that Claude's outputs may contain material inaccuracies, which is the kind of product disclaimer the criteria name. E3 says Claude's behavior may not always match its intended ideals. E1 and E2 are dated after 29 Jun 2026, but they describe an ongoing property of Claude rather than a new event, and nothing in the evidence suggests Claude was ever free of errors, so the claim resolves true.

Cite this claim

Daniela Amodei, “Anthropic's Claude sometimes gives wrong answers.” (said 29 June 2026). Verdict: resolved true. Reliability API, claim c_04a67572ecb6, method 0.1.0+28da144b. https://epistacklabs.com/claims/c_04a67572ecb6

Claims without a verdict

Is a verdict here wrong, or do you speak for Daniela Amodei? Reply on the claim's own page, with the form at its foot (how replies work). Verdicts are made automatically; how verdicts and scores are made.