Knowledge catalogue
arXiv:2606.23472v1 Announce Type: cross Abstract: Time series classification involves learning a mapping from a continuous, temporally ordered sequence of real-valued observations to a discrete respon
arXiv:2606.21295v1 Announce Type: new Abstract: Existing sequence models, including RNNs, LSTMs, continuous-time networks, and Transformers, share a common structural principle: layer-wise dynamics, w
arXiv:2606.16272v2 Announce Type: replace Abstract: Human hand-object demonstrations provide dense reference motions for training dexterous manipulation reinforcement learning (RL) policies through re
arXiv:2512.02581v3 Announce Type: replace Abstract: Reinforcement learning (RL) faces a persistent tension: policies that are stable to optimize (e.g., Gaussians) are often too simple to represent the
arXiv:2606.22550v1 Announce Type: new Abstract: Autoregressive visual models (AVMs) based on next-scale prediction have emerged as a prominent paradigm for image and video synthesis. However, decompos
arXiv:2606.23496v1 Announce Type: new Abstract: Discrete text-trigger optimization -- searching for text sequences that, when ingested by a model, steer it toward a specified objective -- underpins mo
arXiv:2606.13714v2 Announce Type: replace Abstract: Unsupervised video object-centric learning aims to decompose dynamic scenes into temporally persistent entity representations. Existing recurrent vi
arXiv:2606.20971v1 Announce Type: new Abstract: We introduce UNITY, a Universal-to-Specialized adapter for efficient and scalable composite conditioning in diffusion based image generation. Unlike pri
arXiv:2606.21287v1 Announce Type: new Abstract: Unsupervised domain adaptation (UDA) enables robust transfer of knowledge from simulated to real environments while exploiting a subset of unlabeled tar
arXiv:2602.11944v2 Announce Type: replace Abstract: When building AI systems for decision support, one often encounters the phenomenon of predictive multiplicity: a single best model does not exist; i
arXiv:2606.22870v1 Announce Type: new Abstract: Recent advancements in chain-of-thought (CoT) reasoning have shown promise in enhancing video understanding and reasoning capabilities of multimodal lar
arXiv:2606.21600v1 Announce Type: new Abstract: Multi-task robot manipulation policies are challenging to learn from demonstration because traditionally a single network must select among qualitativel
arXiv:2508.03058v2 Announce Type: replace Abstract: Reinforcement Learning (RL) in real-world environments often suffers from ambiguous or incomplete reward supervision, which undermines policy stabil
arXiv:2606.22136v1 Announce Type: new Abstract: Scaling dexterous manipulation requires generalization across objects, scenes, and tasks, yet existing data sources face a trade-off between scale and s
arXiv:2606.21126v1 Announce Type: new Abstract: Despite the success of deep learning, training deep networks in biologically plausible and hardware-efficient ways remains an open challenge. Feedback a
arXiv:2603.28919v2 Announce Type: replace Abstract: As robots increasingly enter the workforce, human-robot interaction (HRI) must address how implicit social biases influence user preferences. This p
arXiv:2606.22145v1 Announce Type: new Abstract: Reinforcement learning (RL) is a powerful and convenient tool to modernize controller design. In this work, we study the zero-shot transfer of RL-based
arXiv:2606.19340v2 Announce Type: replace Abstract: We present ZeroDex, a zero-shot framework for long-horizon dexterous manipulation that grounds language instructions into executable 3D task plans f
An update. A US official tells me that Sen. Warner misunderstood the NSA director Gen. Rudd in this case. Rudd did use the 'hours, not weeks' wording, but the use of Mythos in this context was—as wide
'Because I'm going to be smarter than you' This clip is from a new short film by @ForegoneFilms on the race to develop superintelligence. Please watch the full 16 minute film (link below) to help unde
By the end of the decade and maybe a lot sooner, we will wonder why we ever treated these folks like they were gods. “The more I listen to AI company CEOs, the stranger they sound,” says another tech
Great report on LLM agent communication protocols. Communication is a huge bottleneck in multi-agent systems. (worth bookmarking) The report builds a five-dimensional taxonomy (counterparty, payload,
have been thinking a bunch about model routing and related things current thoughts here, would love feedback: 1/ there is a difference between 'model routing' and 'model council' 'model routing' = rou
This newsletter issue covers three major AI topics: techniques for making AI systems more persuasive ('superpersuasion'), the concept of self-sustaining or self-improving AI systems, and various theor
LLMs can’t be trusted to follow rules. Which means they can’t be trusted, period. If we are going to solve alignment we must move on. Large language models can be persuaded to break their own rules. N
New piece in @TheAtlantic! We always hear that AI will cure cancer, and I would immediately benefit if it did. But I argue that racing ahead on generalist AI models creates unclear benefits for cancer
Gary Marcus compares two countries' economic risk-taking, suggesting one is engaging in dangerous speculation while the other is not. The post likely discusses contrasting approaches to emerging techn
Our new incident response report exposes a coordinated network of 340 Facebook pages, largely operated from Vietnam, flooding feeds across Canada, the US, the UK, and Europe with AI-fabricated news, a
Amrith Ramkumar / Wall Street Journal: President Trump signs two executive orders aimed at speeding the development of advanced quantum computers and mitigating the security threats they present — Adm
Professor @GaryMarcus is an American psychologist, cognitive scientist, and author, known for his research on the intersection of cognitive psychology, neuroscience, and artificial intelligence. What
Sober minded folks need to understand the cash out happening in this bubble peak. Watch the @WSJ discussion 👇 How big tech hides the true cost of AI @wsj https://youtu.be/YrJzjC4kKCY?si=o1CiKxLaSVWOhK
The largest LLM-as-a-Judge reliability audit yet. Researchers ran 21 judges from nine providers over roughly 541,000 judgments on MT-Bench, JudgeBench, and RewardBench. Findings: Validating a judge wi
Gary Marcus posted a critical commentary on X regarding SPCX stock, sarcastically offering 'thoughts and prayers' to investors who purchased the stock at 225 in the previous week, implying the investm
This post by cognitive scientist Gary Marcus likely critiques the widespread credibility given to a particular public figure's predictions, questioning the basis for their influence or accuracy track
Absolutely insane revelations about Tulsi Gabbard. Throughout her public life, she's been a puppet for a Hindu cult. Washington Post got access to 25,000 pages of documents including directives from T
This video from the Wall Street Journal examines how major technology companies obscure the substantial economic, environmental, and societal costs associated with developing and operating artificial
'If curing cancer were the only result of building ever more powerful AI systems, I would cheer for their arrival. But the problem is that their impacts are much broader, and we are moving too quickly
Is it a sign of disillusionment when technooptimist @BrianRoemmele sounds *exactly* like me:? Here he writes that we risk an AI winter from “Over-promising relative to capabilities: Ambitious public c
this claim around creativity is too strong, IMHO. truly novel ideas from LLMs are surely rare but i don’t think that any math proves they are impossible. note that the objective function and the outpu
This now widely circulated claim is based on a line I wrote last week (https://economist.com/briefing/2026/06/14/donald-trumps-blocking-of-anthropic-is-capricious-and-chaotic). I accurately quoted Mar
about fucking time. they have always shown a disregard for humanity. 42 state attorneys general are investigating OpenAI over alleged harmful practices. Read again: 42 state attorneys general are inve
Gary Marcus expresses frustration that American media outlets avoid covering his realistic critiques of AI, attributing this to influence or deference from the tech industry. He notes that internation
Big Tech will absolutely destroy our drinkable water supply to advance their AI products and increase their profits. Just like the health insurance industry lets people die to increase their profits.
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
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