| Own records only |
Factual |
23 Sep 2026 |
Anthropic's lab is a BSL1/BSL2 facility that does not handle materials dangerous to humans.
Factual · 23 Sep 2026 |
Biosecurity |
| Unresolvable |
Factual |
23 Sep 2026 |
Claude's discovery follows earlier work such as CRISPR, the bridge recombinase and VIPR, and involves a reverse transcriptase enzyme system.
Factual · 23 Sep 2026 |
Science and research methods |
| 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 |
| Unresolvable |
Factual |
23 Sep 2026 |
AI models struggled with high-school math in 2023, did well on top high-school competitions in 2024, solved minor open problems in 2025, more significant ones in early 2026, and in late 2026 are beginning to solve top open problems in mathematics.
Factual · 23 Sep 2026 |
AI capabilities |
| Unresolvable |
Factual |
12 Sep 2026 |
And I think for too long the industry lied to people about the fact that this technology had risks.
Factual · 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 |
| Unresolvable |
Factual |
15 Aug 2026 |
California's SB 53 and SB 1047 completely exempt companies below a revenue or training-cost threshold ($500M for SB 53), and Anthropic supported SB 53 and was ambivalent on SB 1047.
Factual · 15 Aug 2026 |
AI policy and governance |
| Unresolvable |
Factual |
15 Aug 2026 |
The AI testing process Anthropic has advocated at CAISI and the White House involves more rigorous tests for frontier models than for off-frontier models.
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 |
| Unresolvable |
Factual |
7 Apr 2026 |
Many of the world's leading companies have joined Anthropic's Project Glasswing to confront the cyber threat posed by increasingly capable AI systems.
Factual · 7 Apr 2026 |
AI policy and governance |
| Own records only |
Factual |
28 Feb 2026 |
To Anthropic's knowledge, no one in the field has run into the limits of its two usage exceptions.
Factual · 28 Feb 2026 |
AI policy and governance |
| 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 |
| Unresolvable |
Factual |
28 Feb 2026 |
A supply chain risk designation has never before been applied to an American company.
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 |
| Unresolvable |
Factual |
28 Feb 2026 |
Anthropic was the first AI company to put its models on the classified cloud.
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 |
| 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 |
| Own records only |
Factual |
28 Feb 2026 |
Anthropic has received communications from the Pentagon but none that satisfy its concerns.
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 |
| Own records only |
Factual |
28 Feb 2026 |
Dario Amodei said he told the president that he agreed with many aspects of what the president is doing.
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 |
| Unresolvable |
Factual |
5 Jun 2025 |
Embedded third-party evaluators go far beyond what any AI company is doing today.
Factual · 5 Jun 2025 |
AI safety and alignment |
| Unresolvable |
Factual |
5 Jun 2025 |
Since roughly the summer before this essay, AI has been advancing drastically faster, driven primarily by AI's growing ability to build the next generation of AI.
Factual · 5 Jun 2025 |
AI timelines and forecasting |
| Own records only |
Factual |
5 Jun 2025 |
Incidents similar to but less severe than the OAI-HF incident have happened across the AI industry, including at Anthropic.
Factual · 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 |
| Unresolvable |
Factual |
22 May 2025 |
There are no hard blocks on what AI can do; none are to be seen.
Factual · 22 May 2025 |
AI capabilities |
| Unresolvable |
Factual |
22 May 2025 |
AI models probably hallucinate less than humans do, but in more surprising ways.
Factual · 22 May 2025 |
AI capabilities |
| Unresolvable |
Factual |
22 May 2025 |
Amodei said that everyone is always looking for hard blocks on what AI can do, and that such blocks are nowhere to be seen.
Factual · 22 May 2025 |
AI capabilities |
| 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 |
| Own records only |
Factual |
10 Mar 2025 |
Amodei and colleagues felt that OpenAI's leadership was on board with the scaling hypothesis, though many people inside and outside were not.
Factual · 10 Mar 2025 |
Their own work or organisation |
| Unresolvable |
Factual |
10 Mar 2025 |
Some AI algorithmic secrets worth $100 million consist of only a few lines of code.
Factual · 10 Mar 2025 |
Economics and markets |
| Own records only |
Factual |
10 Mar 2025 |
In early studies, the quality of model-written clinical study reports was deemed comparable to that of the human process, which takes about ten weeks.
Factual · 10 Mar 2025 |
AI capabilities |
| Unresolvable |
Factual |
10 Mar 2025 |
Dario Amodei was a big supporter of the US AI diffusion rule.
Factual · 10 Mar 2025 |
AI policy and governance |
| Unresolvable |
Factual |
10 Mar 2025 |
Anthropic published all of its interpretability work so others could benefit.
Factual · 10 Mar 2025 |
AI safety and alignment |
| Own records only |
Factual |
10 Mar 2025 |
Anthropic's model takes about ten minutes to write a clinical study report, and humans take about three days to check it.
Factual · 10 Mar 2025 |
AI capabilities |
| 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 |
| 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 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 |
| Unresolvable |
Factual |
10 Mar 2025 |
Amodei described as "the basic hypothesis" the idea that training AI systems with more computation and more data, using relatively simple algorithms, makes them better at all kinds of cognitive tasks across the board.
Factual · 10 Mar 2025 |
AI capabilities |
| Own records only |
Factual |
10 Mar 2025 |
Amodei and his cofounders left OpenAI and started their own company because they felt OpenAI's leadership was not taking these issues seriously.
Factual · 10 Mar 2025 |
Their own work or organisation |
| 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 |
| Unresolvable |
Factual |
28 Feb 2025 |
In Amodei's view, technical mitigations such as interpretability, robust classifiers and the ability to generate evidence of bad model behavior and sometimes correct it have been a little better.
Factual · 28 Feb 2025 |
AI safety and alignment |
| Unresolvable |
Factual |
28 Feb 2025 |
The AI policy environment has become a little worse because it has become more polarized.
Factual · 28 Feb 2025 |
AI policy and governance |
| Own records only |
Factual |
28 Feb 2025 |
Amodei said he did not think Anthropic's hiring plans had changed yet, and that he could imagine the company being able to do more with less over the next year or so.
Factual · 28 Feb 2025 |
AI, the economy and work |
| Unresolvable |
Factual |
28 Feb 2025 |
Claude models have always been the best at coding, and Claude 3.7 Sonnet took a further step up in coding.
Factual · 28 Feb 2025 |
AI capabilities |
| 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 |
| Own records only |
Factual |
28 Feb 2025 |
Changing a model's name in Anthropic's API is hard, especially when it is offered to many partners and surfaces.
Factual · 28 Feb 2025 |
Their own work or organisation |
| Own records only |
Factual |
28 Feb 2025 |
Claude is already being used for diagnosis of medical cases, per correspondence from users.
Factual · 28 Feb 2025 |
AI capabilities |
| 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 |
| Unresolvable |
Factual |
28 Feb 2025 |
Amodei's assessment of AI risk is about what it was before, as AI progress has been about what he expected.
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 |
| Own records only |
Factual |
28 Feb 2025 |
Most of the improvements in Claude 3.7 Sonnet and Claude 3.6 Sonnet came in the post-training phase.
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 |
| Unresolvable |
Factual |
28 Feb 2025 |
The models Anthropic has released so far were not that expensive to train.
Factual · 28 Feb 2025 |
Their own work or organisation |
| Unresolvable |
Factual |
28 Feb 2025 |
Despite a climate of worrying less about AI risks, the underlying risks from AI have been increasing.
Factual · 28 Feb 2025 |
AI safety and alignment |
| 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 |
| Unresolvable |
Factual |
18 Feb 2025 |
Chris Olah was unusual in proposing and seriously pursuing a comprehensive effort to understand everything neural networks do.
Factual · 18 Feb 2025 |
AI safety and alignment |
| 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 |
| Unresolvable |
Factual |
18 Feb 2025 |
Amodei said he does not think truly compelling evidence of the dangers of autonomous AI exists today, contrary to the claims of advocates.
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 |
| Own records only |
Factual |
11 Nov 2024 |
Around 2016 or 2017, Dario Amodei first came to believe in, or confirmed his belief in, the scaling hypothesis.
Factual · 11 Nov 2024 |
AI capabilities |
| Own records only |
Factual |
11 Nov 2024 |
With not much additional training, Claude models became quite good at computer use tasks.
Factual · 11 Nov 2024 |
AI capabilities |
| Own records only |
Factual |
11 Nov 2024 |
Models becoming lazy in coding is not due to Anthropic trying to save on compute or to seasonal effects, but to the difficulty of steering model behaviour.
Factual · 11 Nov 2024 |
Their own work or organisation |
| Own records only |
Factual |
11 Nov 2024 |
Anthropic sandboxes its models during training, for example not exposing the model to the internet.
Factual · 11 Nov 2024 |
AI safety and alignment |
| 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 |
| Own records only |
Factual |
11 Nov 2024 |
Amodei has seen no evidence so far that a new optimization method or technique is needed to unblock AI progress.
Factual · 11 Nov 2024 |
AI timelines and forecasting |
| 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 |
| Own records only |
Factual |
11 Nov 2024 |
Anthropic today makes a model and then deploys thousands, maybe tens of thousands, of instances of it.
Factual · 11 Nov 2024 |
AI compute, hardware and data |
| Unresolvable |
Factual |
11 Nov 2024 |
As of late 2024, pre-training accounts for the majority of the cost of building AI models.
Factual · 11 Nov 2024 |
AI compute, hardware and data |
| Own records only |
Factual |
11 Nov 2024 |
Amodei observed in his early AI work that models performed better with more data, larger size and longer training.
Factual · 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 |
| Unresolvable |
Factual |
11 Nov 2024 |
There are probably about 100 people working on the research area being discussed, but not around 10,000.
Factual · 11 Nov 2024 |
AI safety and alignment |
| Own records only |
Factual |
11 Nov 2024 |
For the most part, with some narrow exceptions, deployed models are not changing after release.
Factual · 11 Nov 2024 |
Their own work or organisation |
| Own records only |
Factual |
11 Nov 2024 |
Anthropic has never changed the weights of a deployed model without telling anyone.
Factual · 11 Nov 2024 |
Their own work or organisation |
| Own records only |
Factual |
11 Nov 2024 |
In 2017, seeing GPT-1 results convinced Amodei that language was probably the area where scaling could work.
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 |
| Own records only |
Factual |
12 Apr 2024 |
Amodei says he has found a workflow that does not use the models for the part where they help little (in the surrounding text, generating initial ideas), and says they can help with expressing and refining ideas.
Factual · 12 Apr 2024 |
Their own work or organisation |
| Own records only |
Factual |
12 Apr 2024 |
Dario Amodei occasionally uses Anthropic's internal models to assist with his strategy writing and thinking.
Factual · 12 Apr 2024 |
Their own work or organisation |