| 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 |
| Not yet due |
Prediction |
28 Feb 2025 |
In the longer run (perhaps 18 to 24 months), AI may replace coders, particularly at lower levels.
Prediction · 28 Feb 2025 |
AI, the economy and work |
| 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 |
| Not yet due |
Prediction |
28 Feb 2025 |
Amodei put a chance of maybe 70–80% on a very large number of AI systems much smarter than humans at almost everything arriving before the end of the decade, and said his guess was 2026–2027.
Prediction · 28 Feb 2025 |
AI timelines and forecasting |
| 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 |
| Unresolvable |
Prediction |
28 Feb 2025 |
AI replacement of coders may occur even earlier than 18 to 24 months.
Prediction · 28 Feb 2025 |
AI, the economy and work |
| 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 |
| Unresolvable |
Promise |
28 Feb 2025 |
Anthropic will release bigger, more expensive models than those released so far.
Promise · 28 Feb 2025 |
Their own work or organisation |
| 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 |
| Not yet due |
Promise |
18 Feb 2025 |
Anthropic has a goal of reaching the point where interpretability can reliably detect most model problems by 2027.
Promise · 18 Feb 2025 |
Their own work or organisation |
| Unresolvable |
Prediction |
18 Feb 2025 |
If truly compelling evidence of the dangers of autonomous AI emerged, a slowdown in AI development would be just barely possible.
Prediction · 18 Feb 2025 |
AI policy and governance |
| 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 |
| Unresolvable |
Prediction |
18 Feb 2025 |
Interpretability, meaning understanding the inner workings of AI systems, could be achieved before AI models reach an overwhelming level of power.
Prediction · 18 Feb 2025 |
AI safety and alignment |
| Unresolvable |
Prediction |
18 Feb 2025 |
Amodei said that multiple recent breakthroughs had convinced him that interpretability research is on the right track and has a real chance of success in its goal of fully revealing the inner workings of AI models.
Prediction · 18 Feb 2025 |
AI safety and alignment |
| Unresolvable |
Prediction |
18 Feb 2025 |
Better interpretability could greatly improve the ability to set bounds on the range of possible AI errors.
Prediction · 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 |
| Not yet due |
Prediction |
18 Feb 2025 |
Amodei said that, on its current trajectory, he would bet strongly in favor of interpretability becoming a sophisticated and reliable way to diagnose problems in even very advanced AI within 5-10 years.
Prediction · 18 Feb 2025 |
AI timelines and forecasting |
| 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 |
| Unresolvable |
Prediction |
18 Feb 2025 |
If it were possible to look inside models, it might be possible to systematically block all jailbreaks and characterize what dangerous knowledge models have.
Prediction · 18 Feb 2025 |
AI safety and alignment |
| Unresolvable |
Prediction |
18 Feb 2025 |
Amodei said he is quite skeptical that any slowdown in AI development to address risk is possible, even among companies within democratic countries, given AI's economic value.
Prediction · 18 Feb 2025 |
AI policy and governance |
| 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 |
| Unresolvable |
Prediction |
18 Feb 2025 |
The most likely route to "smoking gun" evidence of AI danger is interpretability itself.
Prediction · 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 |
| Unresolvable |
Prediction |
11 Nov 2024 |
Amodei guessed that, if the task is kept very narrow to just writing code, AI systems will probably be able to do the kind of task that the vast majority of coders do.
Prediction · 11 Nov 2024 |
AI, the economy and work |
| 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 |
| Unresolvable |
Prediction |
11 Nov 2024 |
Powerful AI will most likely arrive with a mild delay relative to the 2026-2027 straight-line extrapolation.
Prediction · 11 Nov 2024 |
AI timelines and forecasting |
| Not yet due |
Prediction |
11 Nov 2024 |
Amodei said that eyeballing the rate at which capabilities are increasing, which he called totally unscientific, does make him think 'we'll get there' by 2026 or 2027, and he added that lots of things could derail it.
Prediction · 11 Nov 2024 |
AI timelines and forecasting |
| Unresolvable |
Prediction |
11 Nov 2024 |
At some point AI systems will become the principal investigators and leaders in research, directing humans or other AI systems.
Prediction · 11 Nov 2024 |
Science and research methods |
| 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 |
| Unresolvable |
Prediction |
11 Nov 2024 |
Amodei expects that the same training techniques used for code, image input and voice will scale to this area, which the conversation describes as giving Claude the power of action.
Prediction · 11 Nov 2024 |
AI capabilities |
| 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 |
| Unresolvable |
Prediction |
11 Nov 2024 |
Within a few years, AI models will exceed the highest professional human level in skill.
Prediction · 11 Nov 2024 |
AI timelines and forecasting |
| Unresolvable |
Prediction |
11 Nov 2024 |
Extrapolating the next few points on the capability curve, AI is very quickly approaching human-level ability.
Prediction · 11 Nov 2024 |
AI timelines and forecasting |
| 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 |
| Unresolvable |
Prediction |
11 Nov 2024 |
In the early stages of AI-assisted science, AI systems will act like grad students working on projects given by human scientists.
Prediction · 11 Nov 2024 |
Science and research methods |
| Not yet due |
Prediction |
11 Nov 2024 |
In the near term, and maybe even in the medium term of 2, 3 or 4 years, Amodei expects humans to keep a huge role and programming as a job not to change, although the nature of programming will change, with less line-by-line writing and more macroscopic work.
Prediction · 11 Nov 2024 |
AI, the economy and work |
| 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 |
| Unresolvable |
Prediction |
11 Nov 2024 |
AI disruption of programming will happen fast.
Prediction · 11 Nov 2024 |
AI, the economy and work |
| 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 |
| 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 |
| Not yet due |
Prediction |
11 Nov 2024 |
Amodei said that probably by 2027 there will be ambitions to build hundred-billion-dollar compute clusters, and that he thinks this will actually happen.
Prediction · 11 Nov 2024 |
AI compute, hardware and data |
| 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 |
| Not yet due |
Prediction |
11 Nov 2024 |
Powerful AI's transformative deployment in the world will take more likely five or 10 years than 50 or 100 years.
Prediction · 11 Nov 2024 |
AI timelines and forecasting |
| Unresolvable |
Prediction |
11 Nov 2024 |
For much longer than expected, the small parts of jobs humans still do will expand to fill their whole jobs as AI automates the rest.
Prediction · 11 Nov 2024 |
AI, the economy and work |
| 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 |
| Unresolvable |
Prediction |
11 Nov 2024 |
Dario Amodei said that as a CEO he does not get to program much, and that he felt that if he went back to it six months later, it would be completely unrecognizable to him.
Prediction · 11 Nov 2024 |
AI capabilities |
| Not yet due |
Prediction |
11 Nov 2024 |
Over the next year or two, even without better models, there would be enormous opportunity to boost productivity by catching mistakes and doing grunt work with current AI models.
Prediction · 11 Nov 2024 |
AI, the economy and work |
| 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 |
| Unresolvable |
Prediction |
11 Nov 2024 |
Scaling up models will enable AI to perform very wide-ranging cognitive tasks.
Prediction · 11 Nov 2024 |
AI capabilities |
| Not yet due |
Prediction |
11 Nov 2024 |
Eyeballing the rate at which AI capabilities are increasing makes Amodei think "we'll get there" by 2026 or 2027, though he says there are still worlds where it does not happen in 100 years.
Prediction · 11 Nov 2024 |
AI timelines and forecasting |
| 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 |
| Not yet due |
Prediction |
11 Nov 2024 |
Within two to three years, whether or not super powerful AI exists, compute clusters will be large enough to deploy millions of AI model instances.
Prediction · 11 Nov 2024 |
AI compute, hardware and data |
| Unresolvable |
Prediction |
11 Nov 2024 |
AI will disrupt agriculture, though more slowly than skills closer to AI builders.
Prediction · 11 Nov 2024 |
AI, the economy and work |
| Unresolvable |
Prediction |
11 Nov 2024 |
Running out of training data could become a limit on AI scaling, though Amodei would bet against it.
Prediction · 11 Nov 2024 |
AI compute, hardware and data |
| Unresolvable |
Prediction |
11 Nov 2024 |
Dario Amodei said he would suspect that if AI models reach 90-95% on the software-engineering benchmark, that will represent the ability to autonomously do a significant fraction of software engineering tasks.
Prediction · 11 Nov 2024 |
AI capabilities |
| 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 |
| Unresolvable |
Prediction |
11 Nov 2024 |
Amodei said he would bet on AI scaling laws continuing to hold, though he is not certain of that.
Prediction · 11 Nov 2024 |
AI capabilities |
| 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 |
| Not yet due |
Prediction |
11 Nov 2024 |
Within two to three years, compute clusters will be large enough to deploy millions of instances of AI models.
Prediction · 11 Nov 2024 |
AI compute, hardware and data |
| Unresolvable |
Promise |
11 Nov 2024 |
Anthropic will release models more powerful than the models that exist today.
Promise · 11 Nov 2024 |
Their own work or organisation |
| Unresolvable |
Prediction |
11 Nov 2024 |
AI scaling will probably continue to produce gains.
Prediction · 11 Nov 2024 |
AI timelines and forecasting |
| Not yet due |
Prediction |
11 Nov 2024 |
Within two to three years, the millions of deployable AI model instances will run faster than humans.
Prediction · 11 Nov 2024 |
AI capabilities |
| 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 |
| Not yet due |
Prediction |
12 Apr 2024 |
By 2026 to 2028, the compute needed for AI will reach levels the semiconductor industry struggles to supply.
Prediction · 12 Apr 2024 |
AI compute, hardware and data |
| 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 |
| Own records only |
Factual |
12 Apr 2024 |
In Amodei's experience, the company's internal models he occasionally uses can in some respects help conceptualize thinking but are not good at generating initial ideas.
Factual · 12 Apr 2024 |
AI capabilities |
| Unresolvable |
Prediction |
12 Apr 2024 |
AI's impact may also show up first in the fields under discussion.
Prediction · 12 Apr 2024 |
AI, the economy and work |
| Unresolvable |
Factual |
12 Apr 2024 |
Amodei said Anthropic launched its safety-level framework in September and that about three months later OpenAI launched a similar product.
Factual · 12 Apr 2024 |
AI policy and governance |
| Not yet due |
Prediction |
12 Apr 2024 |
If a pause in AI development of one year were needed in 2027, it would be feasible.
Prediction · 12 Apr 2024 |
AI policy and governance |
| Not yet due |
Prediction |
12 Apr 2024 |
AI Safety Level ASL-3 capabilities may arrive this year or next (2024 or 2025), and ASL-4 between 2025 and 2028.
Prediction · 12 Apr 2024 |
AI timelines and forecasting |
| 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 |
| Own records only |
Factual |
12 Apr 2024 |
Dario Amodei said that at Anthropic he writes strategic planning documents or does some new thinking, possibly on directions others have not covered.
Factual · 12 Apr 2024 |
Their own work or organisation |
| 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 |
| Unresolvable |
Prediction |
12 Apr 2024 |
Within three to eighteen months, AI models will perform end-to-end tasks for users, which will fundamentally change how people view AI.
Prediction · 12 Apr 2024 |
AI timelines and forecasting |