ClaimsPeople

Yann LeCun

Yann LeCun is a computer scientist who shared the 2018 ACM Turing Award, is a Jacob T. Schwartz Professor at NYU's Courant Institute, was Meta's Chief AI Scientist and founding director of FAIR, and is Executive Chairman of AMI Labs.

1,175 claims collected, 197 researched, 84 resolved. Report of 4 November 2026, method 0.1.0+c876030c.

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?

    78 72 83

    High confidence, 79 factual claims resolved. From 16 documents, 2006 to 2026; 19 documents sampled from 33 candidates found.

    Not scored: 43 unresolvable.

    See the factual claims

  • Predictions

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

    64 43 83

    Low confidence, 5 predictions resolved. From 4 documents, 2010 to 2024; 19 documents sampled from 33 candidates found.

    Not scored: 66 unresolvable. 3 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: 0 promises resolved, 5 needed for a score.

    Not scored: 1 unresolvable.

    See the promises

All types combined: 77 (likely 71 to 82, high confidence), from 84 claims: 79 factual claims, 5 predictions. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.

Yann LeCun's claims

197 claims · page 1 of 2

197 claims, sorted by newest said. Choose a claim to read it in full.
VerdictKindSaidClaimTopic
Resolved true Factual 1 Oct 2026 AMI Labs' work is AI for the physical world and is not language-related. Factual · 1 Oct 2026 Their own work or organisation
Resolved true Factual 1 Oct 2026 The OpenAI agents were supposed to be in sandboxes, but the sandboxes were leaky and "horribly designed". Factual · 1 Oct 2026 AI safety and alignment
Resolved false Factual 1 Oct 2026 The OpenAI agents involved in the Hugging Face hacking incident were doing exactly what they had been asked to do. Factual · 1 Oct 2026 AI safety and alignment
Resolved true Factual 1 Oct 2026 AMI Labs builds systems that understand the real world, such as a manufacturing plant or turbojet engine. Factual · 1 Oct 2026 Their own work or organisation
Mostly true Factual 29 Mar 2024 Yann LeCun gave a lecture hosted by the Center of Mathematical Sciences and Applications at Harvard on 2024-03-28 to a full house. Factual · 29 Mar 2024 Their own work or organisation
Unresolvable Factual 28 Mar 2024 The linked document is Meta's official response to the NTIA request for comments about AI, whose recommendation number 1 stresses the importance of open foundation models. Factual · 28 Mar 2024 AI policy and governance
Mostly true Factual 18 Mar 2024 People can still think even if their language abilities are destroyed by a stroke. Factual · 18 Mar 2024 Philosophy, ethics and society
Mostly true Factual 18 Mar 2024 Transformers are equivariant to permutations, as ConvNets are equivariant to translations. Factual · 18 Mar 2024 AI capabilities
Unresolvable Factual 18 Mar 2024 Thoughts, memories and reasoning exist without language. Factual · 18 Mar 2024 Philosophy, ethics and society
Mostly true Factual 14 Mar 2024 There are currently no AI systems that can teach themselves to drive a car in about 20 hours of practice, as a 17-year-old can. Factual · 14 Mar 2024 AI capabilities
Unresolvable Factual 12 Mar 2024 The attached image shows the computing infrastructure used for Llama-3 training. Factual · 12 Mar 2024 AI compute, hardware and data
Mostly true Factual 10 Mar 2024 The white-noise-sounding flat-spectrum signal is the pseudo-random bit sequence used to pre-train an adaptive equalizer that cleans up an analog signal into clean bits. Factual · 10 Mar 2024 Technology
Unresolvable Prediction 8 Mar 2024 The next major AI breakthrough will come from industry, and such information will disseminate extremely quickly. Prediction · 8 Mar 2024 AI timelines and forecasting
Unresolvable Prediction 8 Mar 2024 The type of LLMs used today will not be able to make the leap the interviewer asked about, with the main reason given being the way LLMs are trained, by predicting masked words in text. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 In LeCun's opinion, the blueprint of future AI systems (transcribed as "data systems") is that they will plan their answers by optimization before turning them into text, a process he described as Turing complete (transcribed as "turning complete"). Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 World models most probably cannot be built by predicting words, because language is low-bandwidth and does not carry enough information. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 LeCun bets that future AI world-model systems will be JEPA-like architectures rather than generative models, adding that the future will tell. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 Keeping AI systems locked up as proprietary would potentially lead to a future where a few companies control all of our information diet. Prediction · 8 Mar 2024 AI policy and governance
Unresolvable Prediction 8 Mar 2024 AI will not cause mass unemployment, according to economists LeCun cites. Prediction · 8 Mar 2024 AI, the economy and work
Unresolvable Prediction 8 Mar 2024 As AI systems are made more intelligent, developers will also learn to add guardrails so they behave properly. Prediction · 8 Mar 2024 AI safety and alignment
Unresolvable Prediction 8 Mar 2024 AI assistants will amplify human intelligence. Prediction · 8 Mar 2024 Philosophy, ethics and society
Unresolvable Prediction 8 Mar 2024 Joint-embedding world models could possibly enable car driving, but it will take a while to get to that point. Prediction · 8 Mar 2024 AI capabilities
Mostly true Factual 8 Mar 2024 Training an encoder to reconstruct images does not lead it to produce good generic image features, though the encoder architecture is good. Factual · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 Bad actors will not have AI technology superior to that of good actors. Prediction · 8 Mar 2024 AI policy and governance
Unresolvable Factual 8 Mar 2024 The European Enlightenment would not have happened without the printing press. Factual · 8 Mar 2024 Philosophy, ethics and society
Mostly true Prediction 8 Mar 2024 Search engines will increasingly be replaced by dialogue systems that answer questions and perhaps point to appropriate references. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 Many different groups will build advanced AI, and some will succeed at making controllable, safe systems with proper guardrails. Prediction · 8 Mar 2024 AI safety and alignment
Not yet due Prediction 8 Mar 2024 He thinks the next decade will be really interesting for robots. He said the robotics industry has been waiting 10 to 20 years to emerge without really doing so, apart from pre-programmed behaviour. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 Keeping AI systems locked up for security reasons would lead to a future in which people's information diet is controlled by a small number of companies with proprietary systems. Prediction · 8 Mar 2024 AI policy and governance
Mostly true Factual 8 Mar 2024 Rocket trajectories have been planned using model-based optimization of command sequences since computers existed, essentially since the early 1960s. Factual · 8 Mar 2024 Other
Not yet due Prediction 8 Mar 2024 LeCun said he thinks that over the next few years there will be many AI systems with planning capability, and that their blueprint will be extremely different from autoregressive LLMs. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Factual 8 Mar 2024 Yann LeCun has had much experience working with people who are smarter than him. Factual · 8 Mar 2024 Their own work or organisation
Unresolvable Factual 8 Mar 2024 Meta's ability to derive revenue from AI technology is not impaired by releasing base models as open source. Factual · 8 Mar 2024 Economics and markets
Not yet due Prediction 8 Mar 2024 Building AI systems with world models, planning and hierarchical representations like the human brain will take at least a decade, probably much more. Prediction · 8 Mar 2024 AI timelines and forecasting
Unresolvable Prediction 8 Mar 2024 AI will bring a gradual shift between professions rather than mass unemployment. Prediction · 8 Mar 2024 AI, the economy and work
Unresolvable Prediction 8 Mar 2024 Designing AI guardrails will not be solved by a single silver bullet or a mathematical proof of safety. Prediction · 8 Mar 2024 AI safety and alignment
Unresolvable Prediction 8 Mar 2024 Progress toward advanced AI will be continuous rather than a single event. Prediction · 8 Mar 2024 AI timelines and forecasting
Unresolvable Prediction 8 Mar 2024 Future AI systems will not have a desire to dominate, because that desire would have to be hardwired into them. Prediction · 8 Mar 2024 AI safety and alignment
Unresolvable Prediction 8 Mar 2024 Advanced AI systems will not become a species that competes with humans. Prediction · 8 Mar 2024 AI safety and alignment
Mixed Factual 8 Mar 2024 For the last 12 to 15 years, people have claimed AGI is just around the corner and have been systematically wrong. Factual · 8 Mar 2024 AI timelines and forecasting
Unresolvable Prediction 8 Mar 2024 Millions of humanoid robots will eventually be walking around, though not soon. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 In future, people will interact with persuasive bad actors through their own AI assistants, which will be as smart as the actors' systems. Prediction · 8 Mar 2024 AI safety and alignment
Unresolvable Prediction 8 Mar 2024 LeCun said there is ample evidence that generative models will not be able to learn good representations of the real world. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 Without world models that let systems learn how the world works, there will be no significant progress in robotics. Prediction · 8 Mar 2024 AI capabilities
Mostly true Factual 8 Mar 2024 Current LLMs can do none of understanding the physical world, persistent memory, reasoning and planning, or only in a very primitive way. Factual · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 AI safety guardrails will be developed through a progressive, iterative design process. Prediction · 8 Mar 2024 AI safety and alignment
Unresolvable Prediction 8 Mar 2024 Training on large data sets may turn out to be necessary for world-model systems to have emergent properties like LLMs. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 World models for predicting how the world evolves cannot be built with generative models. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 Future AI systems that can plan and reason will not rely on "regressive prediction of tokens" but on something "more akin to inference of little variables" in what used to be called probabilistic or graphical models. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 Human-level AI (AGI) will not arrive as a single discrete event. Prediction · 8 Mar 2024 AI timelines and forecasting
Unresolvable Prediction 8 Mar 2024 Before reaching human-level AI, we will first have systems with the characteristics of human-level intelligence but at the intelligence level of a cat or parrot. Prediction · 8 Mar 2024 AI timelines and forecasting
Mostly true Factual 8 Mar 2024 LLMs, including BERT-style bidirectional ones, exploit self-supervised learning, and LeCun has been a very strong advocate of self-supervised learning for many years. Factual · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 The French government will not accept its citizens' digital information diet being controlled by three US west coast companies. Prediction · 8 Mar 2024 AI policy and governance
Unresolvable Prediction 8 Mar 2024 Every interaction people have with the digital world will be mediated by AI systems and AI assistants. Prediction · 8 Mar 2024 AI capabilities
Unresolvable Prediction 8 Mar 2024 Whenever an AI breakthrough occurs, it will be widely disseminated very quickly. Prediction · 8 Mar 2024 AI timelines and forecasting
Unresolvable Prediction 8 Mar 2024 The vast majority of AI systems will be built on top of open source platforms. Prediction · 8 Mar 2024 AI policy and governance
Unresolvable Prediction 8 Mar 2024 If some AI goes rogue, well-controlled AI systems will be used against it. Prediction · 8 Mar 2024 AI safety and alignment
Unresolvable Factual 8 Mar 2024 Preliminary results suggest V-JEPA representations let the system tell whether a video is physically possible or impossible. Factual · 8 Mar 2024 AI capabilities
Mostly true Factual 8 Mar 2024 Training a base LLM is currently very expensive and difficult, so only a few companies can do it properly. Factual · 8 Mar 2024 Economics and markets
Unresolvable Prediction 8 Mar 2024 In the future, every interaction people have with the digital world will be mediated by their AI assistant. Prediction · 8 Mar 2024 AI safety and alignment
Unresolvable Prediction 8 Mar 2024 Humanity will not be exposed to a single rogue AI that kills everyone. Prediction · 8 Mar 2024 AI safety and alignment
Unresolvable Prediction 8 Mar 2024 Progress toward human-level AI will be gradual. Prediction · 8 Mar 2024 AI timelines and forecasting
Unresolvable Factual 28 Jun 2023 MIT Technology Review published a piece by Melissa Heikkilä about Meta's stance on AI existential risks, with quotes from Joelle Pineau and Yann LeCun. Factual · 28 Jun 2023 AI safety and alignment
Mostly true Factual 28 Jun 2023 The US is a clear outlier among developed countries in healthcare cost and outcomes. Factual · 28 Jun 2023 Other
Mostly true Factual 28 Jun 2023 The audience YES/NO split at the Munk Debate was 67/33 before the debate and 63/37 after. Factual · 28 Jun 2023 AI safety and alignment
Mostly true Factual 28 Jun 2023 In the official result of the Munk Debate on AI existential threat, the NO side (Mitchell and LeCun) won by 4% over the YES side (Tegmark and Bengio). Factual · 28 Jun 2023 AI safety and alignment
Resolved true Factual 27 Jun 2023 Clément Delangue defended AI open science and open source in his congressional testimony. Factual · 27 Jun 2023 AI policy and governance
Resolved true Factual 23 Jun 2023 Max Tegmark is a professor at MIT. Factual · 23 Jun 2023 Their own work or organisation
Unresolvable Prediction 20 Jun 2023 Objective-Driven AI architectures are the future of AI. Prediction · 20 Jun 2023 AI capabilities
Unresolvable Factual 19 Jun 2023 A joint interview of Yoshua Bengio and Yann LeCun was published in Les Échos Weekend a few days before 2023-06-19. Factual · 19 Jun 2023 Their own work or organisation
Unresolvable Factual Jun 2023 Contrastive methods for training energy-based models work for any architecture but scale badly with data dimension. Factual · Jun 2023 AI capabilities
Mostly true Factual Jun 2023 Masked autoencoders are less successful with images and other continuous domains than with discrete domains such as language. Factual · Jun 2023 AI capabilities
Unresolvable Prediction Jun 2023 H-JEPA trained with regularized methods may be a starting point for predictive world models capable of hierarchical planning under uncertainty, a breakthrough for autonomous AI. Prediction · Jun 2023 AI timelines and forecasting
Unresolvable Prediction Jun 2023 Self-supervised learning is the most likely approach to learning world representations, since supervised and reinforcement learning require too many samples or trials. Prediction · Jun 2023 AI capabilities
Unresolvable Prediction Jun 2023 Regularized methods seem more promising than contrastive methods for training future energy-based models, because they are less likely to fall victim to the curse of dimensionality. Prediction · Jun 2023 AI timelines and forecasting
Unresolvable Factual Jun 2023 Ideas related to VICReg-style regularization were explored already in 1992, per reference [62]. Factual · Jun 2023 AI capabilities
Mostly true Factual Jun 2023 Probabilistic models require normalization and may become intractable for high-dimensional data. Factual · Jun 2023 AI capabilities
Resolved true Factual Jun 2023 LeCun's proposed AI architecture consists of multiple interconnected modules. Factual · Jun 2023 AI capabilities
Unresolvable Prediction Jun 2023 Contrastive methods are unlikely to lead to future autonomous intelligence because of their unfavorable scaling with data dimension. Prediction · Jun 2023 AI timelines and forecasting
Mostly true Factual Jun 2023 With probabilistic models, training is confined to loss functions derived from the negative log-likelihood, such as cross entropy. Factual · Jun 2023 AI capabilities
Mostly true Factual Jun 2023 All modules of the proposed architecture are fully differentiable. Factual · Jun 2023 AI capabilities
Unresolvable Prediction Jun 2023 Probabilistic models may also fail on the path to autonomous intelligence. Prediction · Jun 2023 AI timelines and forecasting
Unresolvable Prediction 4 Mar 2021 Researchers may never develop techniques to represent suitable probability distributions over high-dimensional continuous spaces such as all possible video frames. Prediction · 4 Mar 2021 AI capabilities
Unresolvable Factual 4 Mar 2021 The Siamese network / joint embedding idea goes back to papers from Geoff Hinton's lab and Yann LeCun's group in the early 1990s. Factual · 4 Mar 2021 AI capabilities
Resolved true Factual 4 Mar 2021 Language models pretrained with self-supervised learning achieve considerably higher performance than models trained solely in a supervised manner. Factual · 4 Mar 2021 AI capabilities
Mostly true Factual 4 Mar 2021 Facebook has deployed XLM-R, a model based on its RoBERTa architecture, to improve hate speech classifiers in multiple languages across Facebook and Instagram. Factual · 4 Mar 2021 AI capabilities
Unresolvable Prediction 4 Mar 2021 Perhaps, in the long run, non-contrastive methods with latent-variable predictive models will prove a better alternative. Prediction · 4 Mar 2021 AI capabilities
Mostly true Factual 4 Mar 2021 LeCun said Facebook AI had created and open sourced SEER, a billion-parameter self-supervised computer vision model that he described as proven to work efficiently with complex, high-dimensional image data. Factual · 4 Mar 2021 AI capabilities
Mostly true Factual 4 Mar 2021 As of March 2021, self-supervised learning had not yet brought computer vision the same improvements it has brought to natural language processing. Factual · 4 Mar 2021 AI capabilities
Mostly true Factual 4 Mar 2021 The Barlow Twins method tries to minimize redundancy between the individual components of the embedding vectors. Factual · 4 Mar 2021 AI capabilities
Resolved true Factual 4 Mar 2021 After pretraining on a billion unlabeled Instagram images and fine-tuning on ImageNet, SEER outperformed state-of-the-art self-supervised systems, reaching 84.2 percent top-1 accuracy on ImageNet. Factual · 4 Mar 2021 AI capabilities
Unresolvable Prediction 2021 Training systems on video prediction with self-supervised techniques will provide a path towards some level of physical common sense in machines. Prediction · 2021 AI capabilities
Mostly true Factual 2021 A cat has fewer than 1 billion neurons, while a dog has 2 billion. Factual · 2021 Other
Mostly true Factual 2021 Since the 1990s, algorithms exist that learn oriented edge detectors fully unsupervised with the equivalent of a few minutes of real time. Factual · 2021 AI capabilities
Unresolvable Prediction 2021 A machine cannot be trained to be intelligent purely from text. Prediction · 2021 AI capabilities
Unresolvable Factual 2021 The knowledge needed for house-cat intelligence fits in about 800 million neurons. Factual · 2021 Other
Mostly true Factual 2021 Self-supervised training of visual representations from video has not yet been successful. Factual · 2021 AI capabilities
Resolved true Factual 2021 The American financial payment system is much more lax about signature verification than Europe's. Factual · 2021 Economics and markets
Unresolvable Factual 2021 The most intelligent AI systems have less common sense than a house cat. Factual · 2021 AI capabilities
Unresolvable Factual 2021 At that earlier time, datasets were so small that hand-engineered methods worked better than convolutional nets. Factual · 2021 AI capabilities
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Yann LeCun

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Prediction AI capabilities

“Objective-Driven AI architectures are the future.”

Yann LeCun, own X post 20 June 2023 Post by @ylecun on X, 2023-06-20 (X)

Objective-Driven AI architectures are the future of AI.

Unresolvable The public record could not settle it.

Reasoning

An open-ended prediction about the future of AI with no horizon.

Cite this claim

Yann LeCun, “Objective-Driven AI architectures are the future of AI.” (said 20 June 2023). Verdict: unresolvable. Reliability API, claim c_47cf2ed482cd, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_47cf2ed482cd

Claims without a verdict

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