safety

the tech bros think they know better than me they think they know better than @michaeljburry they think they know better than the Nobelist @DAcemogluMIT they think they know better than @sundarpichai

this bit on physics is deep and actually resonates with the fact that LLMs are equally comfortable learning any world, whereas humans are built for our world. See also Chomsky’s 2023 conversation with

This creates problems for the @Kevinroose narrative that AGI is near. Finally, a big name has the courage to tell it: we are nowhere near AGI. Demis Hassabis, CEO of Google DeepMind and Nobel laureate

arXiv:2506.04390v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) systems are vulnerable to attacks that inject poisoned passages into the retrieved context, even at low c

time to get out of index funds? they will soon be saddled with the IPOs of three giant companies that barely make a profit (or don’t make profits at all). I don’t personally want to be part of that. (

arXiv:2603.01655v2 Announce Type: replace Abstract: Ray tracing has become a standard for accurate radio propagation modeling, but suffers from exponential computational complexity, as the number of c

arXiv:2605.23098v1 Announce Type: new Abstract: Reliable uncertainty estimation is critical for deploying monocular depth deep neural networks (DNNs) in safety-critical robotic systems. Conventional u

arXiv:2605.23565v1 Announce Type: cross Abstract: Reinforcement learning agents often exhibit unintended goal-directed behaviour outside their training distribution, but we currently lack a principled

arXiv:2507.23372v2 Announce Type: replace Abstract: Emotional understanding and generation are often treated as separate tasks, yet they are inherently complementary and can mutually enhance each othe

arXiv:2503.12868v2 Announce Type: replace Abstract: Learning-based medical image registration has matched the accuracy of conventional methods while offering superior computational efficiency. However

arXiv:2601.00969v2 Announce Type: replace-cross Abstract: Vision-language-action (VLA) models provide strong action priors for robotic manipulation, but their reactive behavior can fail under distribu

arXiv:2602.12579v2 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a dominant paradigm for enhancing Large Language Models (LLMs) reasoning,

arXiv:2605.23868v1 Announce Type: new Abstract: Vision Transformers (ViTs) can learn strong image-level representations while their patch representations become less effective for dense prediction dur

What I don’t get is why so few people care that LeCun is basically a thief. I really don’t get it. Dr. LeCun's heavily promoted Joint Embedding Predictive Architecture (JEPA, 2022) [5] is the heart of

arXiv:2605.23131v1 Announce Type: new Abstract: In this note, I would like to share a small research moment where Codex helped me find the right way to adapt rare switching to the private setting. The

arXiv:2605.22995v1 Announce Type: cross Abstract: Agentic AI systems are increasingly proposed for social-good domains, often invoking the United Nations Sustainable Development Goals (SDGs) as a voca

woah @Noahpinion is attacking @demishassabis here — calling what Demis said not “credible” — but misinterpreting what Hassabis is *actually* saying. What Demis actually said is both completely credibl

AGI is certainly not here by the definitions I have repeatedly laid out. or by criteria that @hendrycks @Yoshua_Bengio and I and others recently laid about at http://agidefinition.AI i don’t think any

Gary Marcus posted a clarification about humor and irony in a previous post that was apparently misunderstood by readers, indicating he felt the need to make his intended meaning more explicit. The po

Can't agree more. After trying out ChatGPT 5.4/5.5 for two months I feel it's far from replacing human researchers, even though it's enabling me to do things not possible before. The effect on how out

Gary Marcus discusses how alignment instructions in large language models often fail to work as intended, and argues that the emotional attachment some people develop toward LLMs can create additional

Gary Marcus humorously notes that George Hotz, an AI researcher and entrepreneur, is beginning to echo Marcus's own views or criticisms, likely regarding AI safety, limitations, or technical concerns.

fascinating - the X algorithm literally gives no weight to being truthful or well-sourced. which kind of shows. So I spent some time studying the new Twitter/X algorithm today since the latest version

Gary has been wrong about plenty of things, and right about plenty more. That's what happens when you say things publicly about the future. I disagree with him about lots of his expectations about the

This appears to be a social media comment acknowledging Gary Marcus's previous critical positions on AI, with the commenter suggesting that negative reactions directed at Marcus validate the accuracy

This post from Gary Marcus appears to reference a humorous or notable moment related to his work, with image attachments in Traditional Chinese that provide context to the claim that he 'has won again

@GaryMarcus @hendrycks @Yoshua_Bengio We recently tested all of the major LLMs with tic-tac-toe, modified chess, and a novel game -- even the top models all failed: illegal moves, claiming a win when

GOOGLE CEO: “THERE IS SOME IRRATIONALITY IN THE CURRENT AI BOOM. THE GROWTH OF AI INVESTMENT HAS BEEN AN EXTRAORDINARY MOMENT.” ASKED WHAT HAPPENS IF THE AI BUBBLE POPS, HE SAID: “I THINK NO COMPANY I

have always wondered about this: is it that the true believers willfully simply don’t want to understand my actual positions or do they lack the cognitive chops to follow them? @GaryMarcus This, sadly

here’s one sample, below, not even the only one I saw today; another claimed I don’t do research anymore when I had published articles in two top journals (Science and the Proceedings of The Royal Soc

he’s not dumb and certainly his IQ is above average but as I wrote somewhere before “I think that Musk has consistently made a dumb set of choices - largely stemming from a mix of four cognitive error

hilarious how all the objections to this post about how elon understands engineering better than science point to elon’s engineering accomplishments, rather than his (meager) record of scientific inno

⚠️⚠️⚠️i don’t think most people understand the implications of the mood shift below, so I will spell them out. they are serious, and eventually will affect the global economy. when a serious coder as

> I’m now in the LeCun/Marcus camp on LLMs > real programming agents will need world models > not some RLVR shit it’s over The Eternal Sloptember https://geohot.github.io//blog/jekyll/update/2026/05/2

Interesting point … but are there any critics of mine that are “authentic” who have laid out a systematic critique, without relying on strawmen? @GaryMarcus While addressing some critics can be helpfu

interestingly (although it is bit apples and oranges) the number below is a similar to the fraction of cars involved in car accidents (mostly nonfatal) in a week. but, crucially, we have tons of measu

Let the record show: honest critique is not pessimism. Your points on scaling limits and neurosymbolic AI have been validated. Fair debate requires engaging with what was actually said. Retweeting thi

LLM companies are likely to be like airline companies: small margins, intense competition, high expenses. @GaryMarcus Airlines taught us something important: unlimited demand does not guarantee attrac

Gary Marcus discusses whether it is worthwhile to publicly document and explain the logical and conceptual errors made by his critics, framing it as a potential educational exercise. The post reflects

neurosymbolic by @swarat et al for the Erdos win, with much more careful, quantitative work than openai’s in hindsight i wonder whether OpenAI rushed theirs out, knowing this was coming? Another 9 ope

not using LLM’s works for me Prolonged AI use may make it harder to think critically and creatively, recent research suggests. But there are ways to keep the brain fit https://www.economist.com/scienc

Gary Marcus critiques Elon Musk's public perception, arguing that those lacking scientific expertise tend to overestimate Musk's genius while scientifically literate individuals recognize significant

sure, but could you look up at the sky with utter sincerity while you said it? @GaryMarcus 'Fastest growing business', 'loses $5B a year'. I could easily hemorrhage at least 3x that, if that's what 'b

The desperation of the tech bros is made vivid in all the lies they tell about me. Lies about my training. Lies about my experience. Lies about my publication record. Lies about the predictions I have

A Wall Street Journal report highlights the paradox that while the artificial intelligence industry experiences rapid growth, American public sentiment toward AI is increasingly negative. The article,

these kind of examples were cute three years ago now they are just sad 🦔Four viral examples of Google's AI Overview misfiring hit social media this week. One user searching for the definition of 'disr