Dario Amodei: checked claims

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?

76 69 82

High confidence, 76 factual claims resolved. From 14 documents, 2015 to 2026; 19 documents sampled from 30 candidates found.

Not scored: 51 unresolvable, 42 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?

56 42 70

Medium confidence, 17 predictions resolved. From 8 documents, 2015 to 2026; 19 documents sampled from 30 candidates found.

Not scored: 103 unresolvable, 1 checkable only against their own records. 39 more fall due later.
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: 4 promises resolved, 5 needed for a score.

Not scored: 3 unresolvable, 1 not yet due.

See the promises

All types combined: 72 (likely 66 to 78, high confidence), from 93 claims: 76 factual claims, 17 predictions. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.

Dario Amodei's claims

97 claims

97 claims, sorted by newest said. Choose a claim to read it in full.
Verdict	Kind	Said	Claim	Topic
Mostly false	Prediction	23 Sep 2026	Amodei said that "we" believe AI for biology is on an exponential trend similar to the one he described for AI in mathematics. Prediction · 23 Sep 2026	AI capabilities
Mostly false	Factual	23 Sep 2026	Anthropic demonstrated that humans can work with AI to perform experiments and validate key results within a few weeks. Factual · 23 Sep 2026	Science and research methods
Mixed	Factual	23 Sep 2026	AI performance in new intellectual domains has repeatedly gone from weak to superhuman within a few years. Factual · 23 Sep 2026	AI capabilities
Mostly true	Promise	12 Sep 2026	Anthropic commits unilaterally to the first step of the plan: giving third-party evaluators permanent, employee-level access to its systems. Promise · 12 Sep 2026	AI policy and governance
Resolved true	Factual	12 Sep 2026	Dario Amodei has published a new essay, "We Must Pace the Frontier", arguing the AI industry should slow down, with a three-part plan. Factual · 12 Sep 2026	Their own work or organisation
Mostly true	Factual	16 Aug 2026	The public has a negative view of AI. Factual · 16 Aug 2026	Philosophy, ethics and society
Mixed	Factual	15 Aug 2026	The "Pacing the Frontier" letter, in Anthropic's preferred implementation, envisions modulating the pace of the best models without constraining those catching up. Factual · 15 Aug 2026	AI policy and governance
Mixed	Factual	15 Aug 2026	Around February 2026, most of the AI industry was pushing for federal preemption of all state AI regulation, with no apparent federal approach. Factual · 15 Aug 2026	AI policy and governance
Resolved true	Factual	10 Jun 2026	On 2026-06-10 Dario Amodei published a new essay titled Policy on the AI Exponential. Factual · 10 Jun 2026	Their own work or organisation
Mostly true	Factual	28 Feb 2026	Anthropic has been the most forward-leaning of all AI companies in working with the U.S. government and military. Factual · 28 Feb 2026	AI policy and governance
Mostly true	Factual	28 Feb 2026	As of the interview, Anthropic had received only a tweet and no formal supply chain designation or government action. Factual · 28 Feb 2026	AI policy and governance
Mostly true	Factual	28 Feb 2026	The amount of computation going into AI models doubles every four months. Factual · 28 Feb 2026	AI compute, hardware and data
Mostly true	Prediction	28 Feb 2026	Anthropic will be fine, and the impact of the supply chain risk designation on it will be fairly small. Prediction · 28 Feb 2026	AI policy and governance
Resolved true	Promise	28 Feb 2026	If Anthropic receives formal government action on the designation, it will review it and challenge it in court. Promise · 28 Feb 2026	AI policy and governance
Resolved true	Factual	28 Feb 2026	It is not illegal for the government to buy data collected by private firms and analyze it in mass with AI. Factual · 28 Feb 2026	AI policy and governance
Resolved true	Factual	28 Feb 2026	Anthropic was threatened with a supply chain designation and Defense Production Act action by the government, and publicly disagreed in response. Factual · 28 Feb 2026	AI policy and governance
Mostly true	Factual	28 Feb 2026	The whole timeline of the dispute was driven by the Department of War, not Anthropic. Factual · 28 Feb 2026	AI policy and governance
Mostly true	Factual	28 Feb 2026	To Anthropic's knowledge, the supply chain risk designation had never previously been applied to an American company, only to adversary-linked firms such as Kaspersky Labs. Factual · 28 Feb 2026	AI policy and governance
Mostly true	Factual	5 Jun 2025	Distillation of frontier models lets lagging companies narrow the gap at a fraction of the cost of developing their own AI independently. Factual · 5 Jun 2025	AI compute, hardware and data
Mostly true	Promise	5 Jun 2025	Anthropic is unilaterally committing now to the step of embedding third-party evaluators, which it describes as the key step for verifying any pacing commitments, comparable to regulatory supervisors embedded alongside employees in banking. Promise · 5 Jun 2025	AI safety and alignment
Mostly true	Factual	5 Jun 2025	Dario Amodei has worked on AI for the last twelve years. Factual · 5 Jun 2025	Their own work or organisation
Mostly true	Factual	10 Mar 2025	Anthropic was the first AI company to have a responsible scaling policy. Factual · 10 Mar 2025	AI policy and governance
Mostly true	Factual	10 Mar 2025	Within a few months of Anthropic releasing its responsible scaling policy, the other AI companies all adopted similar policies. Factual · 10 Mar 2025	AI policy and governance
Resolved true	Prediction	10 Mar 2025	US export controls may have the effect of stimulating China's chip development. Prediction · 10 Mar 2025	AI policy and governance
Resolved false	Prediction	10 Mar 2025	Within three to six months of March 2025, AI will be writing 90 percent of code. Prediction · 10 Mar 2025	AI timelines and forecasting
Mostly true	Factual	10 Mar 2025	Amodei said he thinks delaying Claude's release had real commercial consequences for Anthropic. Factual · 10 Mar 2025	Their own work or organisation
Resolved false	Prediction	10 Mar 2025	Within twelve months of March 2025, AI may be writing essentially all of the code. Prediction · 10 Mar 2025	AI timelines and forecasting
Mixed	Factual	10 Mar 2025	Amodei's group measured AI scaling trends when models cost $1,000 or $10,000 to train. Factual · 10 Mar 2025	AI capabilities
Mostly true	Prediction	10 Mar 2025	Anthropic's models may reach AI Safety Level 3 in 2025. Prediction · 10 Mar 2025	AI timelines and forecasting
Mostly false	Factual	10 Mar 2025	Dario Amodei thought one or two years before March 2025 that data limits were a very plausible blocker to AI progress. Factual · 10 Mar 2025	AI compute, hardware and data
Mostly true	Factual	10 Mar 2025	Dario Amodei has supported export controls on chips for several years, before DeepSeek's model came out. Factual · 10 Mar 2025	AI policy and governance
Mixed	Factual	28 Feb 2025	Many other companies' reasoning models on the market are trained primarily on math and competition coding. Factual · 28 Feb 2025	AI capabilities
Mostly true	Prediction	28 Feb 2025	In the short run (about 6 to 12 months), AI will augment and increase coders' productivity rather than replace them. Prediction · 28 Feb 2025	AI, the economy and work
Delivered on time	Promise	28 Feb 2025	Anthropic will launch web search for Claude very soon. Promise · 28 Feb 2025	Their own work or organisation
Mostly true	Factual	28 Feb 2025	Anthropic ran an experiment training a model to be helpful, honest, harmless and friendly. Factual · 28 Feb 2025	AI safety and alignment
Resolved true	Factual	28 Feb 2025	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. Factual · 28 Feb 2025	AI safety and alignment
Mostly true	Factual	28 Feb 2025	Amodei said he thinks AI coding is moving the fastest of all the areas of AI. Factual · 28 Feb 2025	AI capabilities
Resolved true	Factual	28 Feb 2025	Amodei's earlier 10 to 25% figure referred to the chance of civilization getting substantially derailed. Factual · 28 Feb 2025	AI safety and alignment
Mostly true	Factual	28 Feb 2025	The model sometimes gives a very short response because, when it knows it gains nothing from thinking further, it does not think for longer; a bound on how long it thinks is still described as valuable. Factual · 28 Feb 2025	AI capabilities
Resolved true	Factual	28 Feb 2025	Anthropic trained Claude 3.7 to focus more on real-world tasks, as distinct from competition coding. Factual · 28 Feb 2025	AI capabilities
Resolved true	Prediction	28 Feb 2025	By the end of 2025, AI will do very serious things in coding. Prediction · 28 Feb 2025	AI capabilities
Resolved true	Factual	28 Feb 2025	Anthropic's approach to reasoning models in Sonnet 3.7 emphasized different things from competitors' reasoning models. Factual · 28 Feb 2025	AI capabilities
Mostly true	Factual	18 Feb 2025	The lack of understanding of how AI systems work is essentially unprecedented in the history of technology. Factual · 18 Feb 2025	AI safety and alignment
Mixed	Factual	18 Feb 2025	People outside the AI field are often surprised and alarmed to learn that AI creators do not understand how their AI systems work. Factual · 18 Feb 2025	Philosophy, ethics and society
Mostly true	Factual	18 Feb 2025	When Anthropic was founded, its founders made mechanistic interpretability a central part of the company's direction, focused on LLMs. Factual · 18 Feb 2025	Their own work or organisation
Mostly true	Factual	18 Feb 2025	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. Factual · 18 Feb 2025	AI safety and alignment
Mostly true	Factual	18 Feb 2025	It became clear that superposition would be a central problem for language models, much worse than in vision models. Factual · 18 Feb 2025	AI safety and alignment
Mostly true	Factual	18 Feb 2025	Modern generative AI systems are opaque in a way that fundamentally differs from traditional software. Factual · 18 Feb 2025	AI safety and alignment
Resolved true	Factual	18 Feb 2025	Anthropic created "Golden Gate Claude", a version of one of its models with the Golden Gate Bridge feature artificially amplified, making it obsessed with the bridge. Factual · 18 Feb 2025	AI safety and alignment
Mostly true	Factual	18 Feb 2025	Circuits, groups of features, allow researchers to trace an AI model's thinking steps. Factual · 18 Feb 2025	AI safety and alignment
Resolved true	Factual	11 Nov 2024	Anthropic's Responsible Scaling Policy uses an if-then structure: if models pass a certain capability, Anthropic imposes a set of safety and security requirements. Factual · 11 Nov 2024	AI safety and alignment
Mostly false	Prediction	11 Nov 2024	Amodei said that, after progress from 3% to 50% on SWE-bench in 10 months, state-of-the-art models would probably be at about 90% in another year, while adding that he did not know and it might be less. Prediction · 11 Nov 2024	AI capabilities
Mostly true	Factual	11 Nov 2024	Anthropic released computer use first in API form rather than to consumers, partly for safety reasons. Factual · 11 Nov 2024	Their own work or organisation
Mostly true	Prediction	11 Nov 2024	Amodei guessed that by about November 2025, AI models would be able to perform computer-use tasks very, very reliably. Prediction · 11 Nov 2024	AI capabilities
Resolved true	Prediction	11 Nov 2024	Dario Amodei said he would not be surprised at all if Anthropic's models hit ASL-3 in 2025. Prediction · 11 Nov 2024	AI safety and alignment
Mostly true	Factual	11 Nov 2024	Anthropic's Responsible Scaling Policy does not specify ASL-4 requirements until ASL-3 has been reached. Factual · 11 Nov 2024	AI safety and alignment
Resolved false	Prediction	11 Nov 2024	Amodei guessed that within about 10 months AI models would probably get pretty close on typical real-world programming tasks, reaching at least 90%. Prediction · 11 Nov 2024	AI capabilities
Resolved true	Factual	11 Nov 2024	On some computer-use benchmarks, previous models succeeded about 6% of the time and Anthropic's new model succeeds 14 or 22% of the time. Factual · 11 Nov 2024	AI capabilities
Resolved true	Factual	11 Nov 2024	Anthropic's updated Claude Sonnet 3.5 scores about 50% on SWE-bench. Factual · 11 Nov 2024	AI capabilities
Mostly true	Factual	11 Nov 2024	Anthropic wants to evaluate every new model to see whether it is getting close to dangerous (CBRN) capabilities, and does not think current models yet pose these risks seriously. Factual · 11 Nov 2024	Biosecurity
Mostly true	Factual	11 Nov 2024	Amodei first joined the AI field in late 2014, working at Baidu with Andrew Ng. Factual · 11 Nov 2024	Their own work or organisation
Resolved true	Factual	11 Nov 2024	Anthropic has almost a thousand employees, and its risk policy is meant to make sure they understand that taking these risks seriously is one of the company's highest priorities, if not the highest. Factual · 11 Nov 2024	Their own work or organisation
Resolved true	Factual	11 Nov 2024	DeepMind's AlphaGo Zero required no example data from humans. Factual · 11 Nov 2024	AI capabilities
Mostly true	Factual	12 Apr 2024	The Guns of August describes how the crisis erupted quickly and almost no one grasped the full picture. Factual · 12 Apr 2024	Other
Mostly true	Factual	12 Apr 2024	Anthropic's experiment found its large model nearly matched a hired human team in changing people's views with persuasive essays. Factual · 12 Apr 2024	AI safety and alignment
Resolved true	Factual	12 Apr 2024	The Star Trek series depicts a highly developed universe in which humans live longer and have expanded into space. Factual · 12 Apr 2024	Other
Mostly true	Factual	12 Apr 2024	Anthropic introduced its Responsible Scaling Plan at the end of 2023, setting thresholds for AI system capabilities. Factual · 12 Apr 2024	Their own work or organisation
Mixed	Factual	12 Apr 2024	我们和其他一些研究者发现，模型里有时会有某些特定的神经元和统计指标（这些通常不出现在它的外部反应中），这些指标能够指示模型是在撒谎还是在说真话。 Factual · 12 Apr 2024	AI safety and alignment
Resolved true	Factual	12 Apr 2024	Anthropic's models are currently at AI Safety Level ASL-2. Factual · 12 Apr 2024	Their own work or organisation
Mostly true	Factual	8 Aug 2023	Anthropic published a blog post on security stating it has a two-key system for access to model weights. Factual · 8 Aug 2023	Their own work or organisation
Mostly true	Factual	8 Aug 2023	As of August 2023, mechanistic interpretability is not nearly capable enough to verify that a model is aligned. Factual · 8 Aug 2023	AI safety and alignment
Mostly true	Factual	8 Aug 2023	Existing alignment methods succeed in aligning AI systems for today's tasks. Factual · 8 Aug 2023	AI safety and alignment
Resolved true	Prediction	8 Aug 2023	In a year or two (from 2023), AI model consciousness might become a very real concern. Prediction · 8 Aug 2023	Philosophy, ethics and society
Resolved true	Factual	8 Aug 2023	Amodei said Anthropic "kind of" already does reinforcement learning, through RLHF. Factual · 8 Aug 2023	AI capabilities
Mostly true	Factual	8 Aug 2023	Anthropic's initial constitution for its models drew on broadly agreed sources such as the UN Declaration of Human Rights and parts of Apple's Terms of Service. Factual · 8 Aug 2023	AI safety and alignment
Mostly true	Prediction	8 Aug 2023	AI models will not have enough autonomy within two years to raise alignment concerns, though that may not be far behind. Prediction · 8 Aug 2023	AI safety and alignment
Mostly true	Factual	13 Oct 2022	Because reasoning-focused RL is new, the amount all AI developers spend on the RL training stage is still small, so the field is early on its scaling curve. Factual · 13 Oct 2022	AI compute, hardware and data
Resolved true	Factual	13 Oct 2022	The current rate of algorithmic curve shift is maybe about 4x per year. Factual · 13 Oct 2022	AI compute, hardware and data
Mixed	Factual	13 Oct 2022	DeepSeek was not substantially more resource-constrained than US AI companies, and export controls were not the main factor causing its innovation. Factual · 13 Oct 2022	AI policy and governance
Resolved false	Prediction	13 Oct 2022	The situation where several companies can produce good reasoning models will rapidly cease as everyone moves further up the scaling curve. Prediction · 13 Oct 2022	Economics and markets
Mostly true	Factual	13 Oct 2022	Dario Amodei and his co-founders were among the first to document, while at OpenAI, that scaling up AI training smoothly improves results across a range of cognitive tasks. Factual · 13 Oct 2022	Their own work or organisation
Mostly true	Factual	13 Oct 2022	Improvements in training cost efficiency typically lead AI companies to spend more, not less, on training models. Factual · 13 Oct 2022	Economics and markets
Resolved true	Factual	13 Oct 2022	Amodei said he thinks a fair statement is that DeepSeek produced a model close in performance to US models 7-10 months older, at a good deal less cost but not near the ratios people have suggested. Factual · 13 Oct 2022	Economics and markets
Resolved true	Factual	21 Jul 2017	OpenAI and DeepMind both have a focus on safety and both have safety teams. Factual · 21 Jul 2017	AI safety and alignment
Mostly true	Factual	21 Jul 2017	Getting started in machine learning probably requires about a thousand dollars to buy a GPU. Factual · 21 Jul 2017	Field building and careers
Mostly true	Factual	21 Jul 2017	There was a lot of political instability in the western world in the year before July 2017. Factual · 21 Jul 2017	Philosophy, ethics and society
Mixed	Factual	21 Jul 2017	For almost a decade before 2017, self-driving cars have existed that are 99.9% safe. Factual · 21 Jul 2017	AI capabilities
Resolved true	Factual	21 Jul 2017	Dario Amodei's PhD was not in machine learning. Factual · 21 Jul 2017	Their own work or organisation
Resolved true	Factual	21 Jul 2017	OpenAI is a nonprofit AI research lab. Factual · 21 Jul 2017	Their own work or organisation
Mostly true	Prediction	17 Aug 2015	AI seems likely to enable much better propaganda and surveillance, which are major tools of autocrats. Prediction · 17 Aug 2015	AI policy and governance
Mostly true	Prediction	17 Aug 2015	Climate change will be felt much more strongly in the developing world, hampering its development. Prediction · 17 Aug 2015	Other global risks
Mixed	Factual	17 Aug 2015	Poorly implemented services are currently a major driver of cynicism about government. Factual · 17 Aug 2015	AI policy and governance
Mostly true	Factual	17 Aug 2015	The impact of nuclear power, supersonic flight and elevators has been substantially reduced by regulations or misplaced fears despite working well technically. Factual · 17 Aug 2015	AI policy and governance
Mostly true	Factual	17 Aug 2015	Diseases have been eradicated and many countries have gone from poor to rich, through decisions that exhibit high returns to intelligence. Factual · 17 Aug 2015	Economics and markets
Mostly true	Factual	17 Aug 2015	Although drug development is overly cumbersome, once developed drugs are generally successfully deployed and used. Factual · 17 Aug 2015	Economics and markets
Mixed	Factual	17 Aug 2015	Human economic planners made the decisions that led to several East Asian economies' late-20th-century growth by pulling a few key levers such as export-led industrial policy, not by directly controlling whole economies. Factual · 17 Aug 2015	Economics and markets
Mixed	Factual	17 Aug 2015	Smallpox was fully eliminated in the 1970s, and polio and guinea worm are nearly eradicated with fewer than 100 cases per year. Factual · 17 Aug 2015	Biosecurity

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Dario Amodei

Open its page

Prediction AI timelines and forecasting

“We may actually hit that this year”

Dario Amodei, Anthropic CEO 10 March 2025 CEO Speaker Series with Dario Amodei of Anthropic (Council on Foreign Relations)

Anthropic's models may reach AI Safety Level 3 in 2025.

Mostly true True in substance, wrong in a detail.

The evidence is the person's or their organisation's own records.

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

What would count as true or false

The claim is that Anthropic's models may reach AI Safety Level 3 (ASL-3) under Anthropic's Responsible Scaling Policy during 2025. True: Anthropic stated during 2025 that a model had crossed the ASL-3 capability threshold and required ASL-3 safeguards. Mostly true: during 2025 Anthropic deployed a model under the ASL-3 standard as a precaution because it could not rule out that the threshold had been crossed, without a definitive determination. Mostly false: ASL-3 was reached or activated only after 2025. False: no Anthropic model was designated as, or deployed under, ASL-3 during 2025, as shown by Anthropic's 2025 system cards and RSP reports.

Evidence

Claude Opus 4 & Claude Sonnet 4 - System Card Anthropic · May 2025 Own record
“Thus, we are deploying Claude Opus 4 with ASL-3 measures as a precautionary, provisional action, while maintaining Claude Sonnet 4 at the ASL-2 Standard.”
Activating AI Safety Level 3 protections Anthropic · 22 May 2025 Own record
“And indeed, in the lead up to releasing Claude Opus 4, we proactively decided to launch it under the ASL-3 Standard.”
Introducing Claude Sonnet 4.5 Anthropic · 29 September 2025 Own record
“Claude Sonnet 4.5 is being released under our AI Safety Level 3 (ASL-3) protections, as per our framework that matches model capabilities with appropriate safeguards.”
Claude Opus 4 & Claude Sonnet 4 - System Card Anthropic · May 2025 Own record
“Although we have not yet determined that Claude Opus 4 passes the capability threshold for CBRN weapons development that necessitates the ASL-3 Standard, we cannot rule out that further testing will show it has”

Reasoning

Anthropic's May 2025 Claude Opus 4 system card says Opus 4 was deployed with ASL-3 measures "as a precautionary, provisional action" (E1). It also says Anthropic had not determined that the model passed the CBRN ASL-3 threshold (E4). Anthropic's announcement confirms Opus 4 was launched under the ASL-3 Standard (E2), and Claude Sonnet 4.5 was also released under ASL-3 protections in September 2025 (E3). None of these quotes says Anthropic definitively found that the threshold had been crossed, which fits the "mostly true" criterion: a precautionary ASL-3 deployment during 2025.

Cite this claim

Dario Amodei, “Anthropic's models may reach AI Safety Level 3 in 2025.” (said 10 March 2025). Verdict: mostly true. Reliability API, claim c_9b1042c844e5, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_9b1042c844e5

Claims without a verdict

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