safety

Doctors 25% more likely to miss a diagnosis on a patient within 3 months after Ai is implemented. The results indicate Ai has an immediate negative effect on professionals skillsets vs prolonged relia

exactly. there aren’t enough resources in the world to build 5 towers of babel. which means the loan defaults alone will be epic. @GaryMarcus Instead of building the Tower of Babel we appear to have f

Flesh-eating maggots, scientifically known as larvae of blow flies and flesh flies, are used in medical settings for debridement therapy to treat infected or necrotic wounds by consuming dead tissue w

@GaryMarcus the whole AI bubble depends on investors not understanding that the progress on coding harnesses DOES NOT GENERALIZE to other less-quantifiable tasks. AI companies are deliberately obscuri

Has there ever been a more a soul-crushing technology than Generative AI? Most software engineers are facing an identity crisis bordering on depression. As CTOs aggressively evangelize tokenmaxxing, a

Gary Marcus argues that language models are not genuinely intelligent despite their sophisticated outputs, and that they operate fundamentally differently from human cognition. This critique likely ch

If Generative AI were a vehicle, it would be a runaway train. Terrifying sentence from Goldman Sachs: “Hyperscalers will need financing from across markets, structures, and currencies as they potentia

It's crazy how badly the tech industry wants this guy @AlexBores defeated, all because he passed a relatively tame AI transparency law AI billionaires have spent $8,027,347 trying to beat one New York

money talks: after putting 50B into OpenAI • Amazon ratted on Anthropic • dropped their skeptical film about Sam Altman Luca Guadagnino's nearly finished Sam Altman movie, “Artificial,” has been dropp

pro tip: when someone starts a long song and dance with “the fact that X” and that claim X is not a fact but an as yet a controversial and unproven speculation, hold on to your wallet. The fact that o

same. i want to know why Amazon is trying to bury it. If you have a script/screener of this movie, I would love to see it https://variety.com/2026/film/global/luca-guadagnino-sam-altman-movie-artifici

// Self-play with a pinch of human data // Really cool paper combining human demonstrations and self-play RL. 30 minutes of human data, 2500x less than imitation learning, is enough to make self-play

Terrifying sentence from Goldman Sachs: “Hyperscalers will need financing from across markets, structures, and currencies as they potentially bump up against saturation considerations in liquid credit

The NSF helped build the internet, funded the observatory that detected gravitational waves, laid foundations for AI, advanced MRI technology, and trained generations of scientists. It is on track for

There is no way the hyperscalers are going to make back their 5.3 trillion — unless they take it out of the taxpayers, via massive government subsidies. Which is *exactly* what they are going to try t

This post likely discusses economic policy errors and systemic vulnerabilities that could transform a stock market correction into a severe, prolonged economic depression similar to the Great Depressi

C'est un grand honneur d’avoir reçu cette semaine l'insigne d'officier de l'Ordre national du Québec. Merci @CFrechette pour la remise de cette distinction. Il reste beaucoup de chemin à parcourir pou

dot-com bubble vs. a possible AI bubble. From the famous 'Dean of Valuation', Professor Aswath Damodaran, of NYU Stern School of Business, “And that’s the real big difference between the dot-com boom

Eight reasons to slow down hyperscaling: • What GenAI has already done to society • What AI slop is doing to the internet • What data center overbuild is likely to do the economy • What data center ov

'If Bores wins the primary, it has the potential to clarify and perhaps even transform the federal debate about regulating artificial intelligence. On the other hand, if he loses, Bores and others fea

Only a narrative violation if you believed people with a lot of money at stake. • Most of the people that said lots of jobs would soon disappear were running LLM companies trying to overhype their war

“1.75 trillion dollar” company can’t do diddly-squat over impersonating accounts running (i have seen three in three days) like these stock scams and yet is supposedly gonna make orbiting data centers

arXiv:2606.11446v1 Announce Type: new Abstract: This research introduces a framework for incorporating Concept Bottleneck Models (CBMs) into 3D generative architectures to address the inherent 'semant

arXiv:2509.11575v3 Announce Type: replace Abstract: Time series reasoning treats time as a first-class axis and incorporates intermediate evidence directly into the answer. This survey defines the pro

arXiv:2603.12901v2 Announce Type: replace-cross Abstract: While diffusion models have emerged as a powerful class of generative models, their learning dynamics remain poorly understood. We address thi

Gary Marcus expresses appreciation for being mentioned alongside Demis Hassabis, the co-founder of DeepMind, in what appears to be a recognition or honor-related context. The post reflects Marcus's re

arXiv:2606.11626v1 Announce Type: new Abstract: Understanding multi-label images remains a challenging task in computer vision. With the rapid progress of vision-language multimodal learning, vision-l

arXiv:2606.11615v1 Announce Type: new Abstract: The widespread adoption of face recognition (FR) technologies raises serious privacy concerns, as facial data can be exploited without consent. To addre

arXiv:2606.11535v1 Announce Type: new Abstract: Learning-based policies are being considered to augment the dexterity of human surgeons in robot-assisted surgery. Can the end-to-end mapping from visua

arXiv:2606.12142v1 Announce Type: cross Abstract: Unmanned aerial vehicles (UAVs) are increasingly used in inspection, search and rescue, environmental monitoring, and emergency response. However, mos

arXiv:2606.11533v1 Announce Type: cross Abstract: The advancement of AI capabilities compels researchers and the public to be more aware of its potential worldwide impact. A pressing near-term concern

arXiv:2606.12342v1 Announce Type: cross Abstract: Domain fine-tuning degrades the safety of large language models: fine-tuned specialists readily comply with harmful prompts framed in domain language.

arXiv:2606.11218v1 Announce Type: cross Abstract: Ethical deliberation is often misunderstood as a search for single right or wrong answers, creating difficulties for non-ethically trained personnel w

and now the possible of drastic price cuts, a further sign of OpenAI’s desperation, as foreseen by me 2.5 years ago: Called the LLM price wars – which are about to heat up — over two years ago. See es

arXiv:2606.12384v1 Announce Type: cross Abstract: Recent advances in agentic Reinforcement Learning (RL) have substantially improved the multi-turn tool-use capabilities of large language model agents

arXiv:2606.12366v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models that couple pretrained Vision-Language Models (VLMs) with continuous action experts have achieved strong manipulatio

arXiv:2606.11634v1 Announce Type: new Abstract: The rapid progress of reasoning and agentic large language models (LLMs) has increased the demand for long-context inference, but self-attention (SA) sc

Gary Marcus critiques fundamental mathematical or computational problems underlying an entire industry, suggesting widespread reliance on flawed or unsound methodologies. The commentary appears on Mar

arXiv:2604.06961v2 Announce Type: replace Abstract: Fairness in human-robot interaction critically depends on the reliability of the perceptual models that enable robots to interpret human behavior. W

arXiv:2606.12113v1 Announce Type: cross Abstract: Transformer-based language models for SMILES strings suffer from a locality gap: standard character-level tokenization fragments chemically meaningful

arXiv:2606.12065v1 Announce Type: new Abstract: Automating compliance check for geometry-intensive regulations remains a significant technical bottleneck in Building Information Modeling (BIM), primar

arXiv:2606.11874v1 Announce Type: new Abstract: With the development of autonomous driving systems, mining high-value, safety-critical, and planning-relevant scenarios from large-scale driving logs ha

arXiv:2606.11576v1 Announce Type: cross Abstract: Modern Vision-Language Models (VLMs) benefit from chain-of-thought prompting and test-time scaling, but these gains often come with prohibitive infere

Bad things apparently come in 4’s; tweet below must be updated with the breaking @wsj news that OpenAI is contemplating drastic price cuts, which is surely a sign of weakness. So far today • Banks to

arXiv:2606.11893v1 Announce Type: cross Abstract: The correspondence between large language models (LLMs) and the neural mechanisms underlying human higher-order cognition remains insufficiently chara

arXiv:2606.12247v1 Announce Type: cross Abstract: Research on bias in large language models (LLMs) has predominantly focused on third-person audits, which study how models represent or evaluate demogr