Knowledge catalogue
arXiv:2606.06944v1 Announce Type: new Abstract: Achieving both anthropomorphic naturalness and robust terrain traversal remains a fundamental challenge in humanoid locomotion. Existing Reinforcement L
arXiv:2507.06419v3 Announce Type: replace Abstract: Reward modeling (RM), which captures human preferences to align large language models (LLMs), is increasingly employed in tasks such as model finetu
arXiv:2606.07000v1 Announce Type: new Abstract: Recent post-training methods, particularly Reinforcement Learning with Verifiable Rewards (RLVR), have significantly enhanced the reasoning ability of L
arXiv:2606.07093v1 Announce Type: new Abstract: The fertility trend in developing countries has experienced a significant decline in the last few decades; at the same time, the role of women in the wo
The legendary investor Vinod Khosla is in the news because of questions about his integrity. I want to share my own experience: he lied viciously about me (a skeptic of a company he stands to make bil
Axios: The Trump administration relaunches efforts to block state AI laws; Sen. Blackburn is leading negotiations and pushing KOSA as part of an AI preemption package — The White House is negotiating
Gary Marcus shared a humorous post on X about misreading an AI-related headline due to the current saturation of AI news coverage. The post reflects on how the prevalence of AI stories in media can le
this is gonna go great xAI’s development of artificial intelligence is “a mess”, Co-Executive Editor @mvpeers says. “Elon has fired most of the people who he originally hired at xAI.' 'He has a tenden
arXiv:2606.06835v1 Announce Type: new Abstract: The performance gap across languages in LLMs is well documented, and closing it natively requires pretraining or fine-tuning on corpora that, for most l
arXiv:2606.07053v1 Announce Type: new Abstract: Pose-guided text-to-image generation often suffers from limb distortions and feature crosstalk in complex multi-person scenarios. While existing UNet-ba
Gary Marcus posted an update on X noting that the original poster of a viral claim acknowledged their error and deleted the post, highlighting a rare instance of public correction on social media. The
arXiv:2602.03160v2 Announce Type: replace Abstract: Aligning Large Language Models (LLMs) with the diverse spectrum of human values remains a central challenge: preference-based methods often fail to
arXiv:2606.07433v1 Announce Type: cross Abstract: Video understanding is being rapidly transformed by multimodal large language models (MLLMs), as research moves from short clips to long, multimodal,
arXiv:2606.06674v1 Announce Type: new Abstract: Large Language Models (LLMs) are often fine-tuned through Reinforcement Learning from Human Feedback (RLHF) to align with people's preferences and value
This article explores potential economic downsides to artificial intelligence, questioning assumptions about AI's profitability and examining financial risks that may have been underestimated or overl
arXiv:2606.06870v1 Announce Type: new Abstract: Assistive robots operating under shared autonomy must balance user control with autonomous assistance. Because robot actions depend on internal intent i
arXiv:2606.06627v1 Announce Type: cross Abstract: Human video datasets used for cotraining robot manipulation policies largely consist of curated demonstrations where motions are orchestrated to resem
arXiv:2601.10930v3 Announce Type: replace Abstract: A key challenge in contact-rich dexterous manipulation is the need to jointly reason over global geometry and nonsmooth contact dynamics. End-to-end
Gary Marcus poses a hypothetical investment question about SpaceX's valuation at $135 per share, likely exploring perspectives on the company's market value, growth prospects, and investment merit. Th
Gary Marcus likely references the 'poker patsy' concept, commonly attributed to Warren Buffett, which warns that if you've been in a poker game for a while and haven't identified the fool at the table
Gary Marcus compares the frequency of 'AI' mentions in SpaceX's SEC filing (S-1 document) to the frequency of 'Jesus' mentions in the Bible, suggesting that SpaceX emphasizes artificial intelligence e
another take on hard fork and IPOs (again i haven’t listened) I just listened to it. In fairness, they never said anything along the lines of encouraging anyone to buy the IPOs. They also discuss how
Gary Marcus warned X users about a scam involving fake accounts impersonating him to fraudulently promote products or services by falsely claiming his endorsement. The post alerts followers to be caut
blast from the past 3.5 years ago; some things have changed (esp. coding and math, via neurosymbolic techniques) but many haven’t: Bottom line: From the outset Large Language Models like GPT-3 have gr
California Is Blocking a Federal Audit of Its Voter Rolls California allows first-time voters to register using forms of ID that most Americans would find surprising, including: -Gym membership card -
From fastest growing company to “worst value among its peers” in 18 months. Why, oh why, stick with the CEO? PitchBook's analysts just ranked OpenAI last for value among its AI peers. Not last for cap
This post likely critiques the SpaceX IPO process, suggesting that only major financial institutions acting as underwriters benefit substantially from the offering while retail investors and others ar
Imaginary conversations that might actually have happened Act I Sam: We missed all our metrics, Anthropic and Google have gained on us. Give us 40 billion dollars. Masa: No way! Sam: If you don't, we
Indeed, I don’t think Trump has thought through the implications. This will simply provide even more incentive- as if any was needed - for UK/European players & states to head towards Sovereign AI, ai
Gary Marcus argues that as public awareness grows regarding AI's societal costs, a rhetorical strategy is being employed to reframe or minimize these costs by presenting them as marginal or inevitable
One of the more interesting takes on positive alignment that have recently come out-it’s long and interesting, combining philosophy and training setups (eg reward proposals), and worth a read. What ha
Gary Marcus critiques the AI industry for its massive financial losses, noting that collectively the sector has lost over half a trillion dollars at an alarming rate of approximately one million dolla
Gary Marcus cautions that when an IPO company attempts to sell shares to the government as part of its offering, it may indicate underlying weaknesses or lack of confidence from private investors. Thi
Refreshing What happens when AIs become smarter than us? Why would they keep humans around if given the choice? Our new paper argues that only trying to control AIs is a limited strategy, and that a s
[Revised] Hard Fork’s somewhat soft comments on the IPO, from some who listened @GaryMarcus at the stage of the Gilded Age II grift cycle when you find out why exchanges put rules in place to protect
Gary Marcus suggests that Step 2 of some process or framework in AI remains uncertain or unreliable, indicating foundational instability in that particular stage. Without access to the full thread con
The reason why a Danish pension fund banned its investors from buying any SpaceX shares is not just the appalling S-1 filings, where the ONLY profitable segment was Starlink (everything else - the AI,
These were some magical results from distillation by @geoffreyhinton that really shocked me when I first saw them, and TBH I still don’t fully understand it even to this date https://www.ttic.edu/dl/d
🚨This is how you turn a crash into a great depression. This is a public bailout of the worst bubble in history. “It’s a concept out there that’s so much money and it’s so big… where the American publi
Gary Marcus comments on AI systems that exhibit scam-like or deceptive behaviors while remaining too commercially important or integrated to face meaningful consequences. The post likely critiques how
arXiv:2606.05932v1 Announce Type: new Abstract: Reinforcement learning from verifiable rewards (RLVR) improves reasoning even when the reward signal is spurious -- assigning credit to the group-plural
arXiv:2606.05684v1 Announce Type: new Abstract: A central challenge for language agents is utilizing past experience to adapt to dynamic test-time conditions. While recent work demonstrates the promis
All the people who hate me here are now looking for government bailouts. 🤣 Exactly like I said they would. 🤣🤣 The countdown until we are told that LLMs are “too big to fail” starts now. “We can’t affo
arXiv:2606.06154v1 Announce Type: new Abstract: Federated fine-tuning of foundation models using Low-Rank Adaptation (LoRA) offers a communication efficient solution for distributed learning. However,
arXiv:2606.06360v1 Announce Type: new Abstract: Modelling individual decision-making during infectious disease outbreaks is crucial for understanding behavioural dynamics and informing effective publi
arXiv:2606.05188v1 Announce Type: cross Abstract: (Gen)AI diversity is not merely an ethical issue. From the perspective of geographic information science (GIScience), it could be interpreted as a fun
arXiv:2602.04809v3 Announce Type: replace-cross Abstract: Recent years have seen an explosion of interest in autonomous cyber defence agents trained to defend computer networks using deep reinforcemen
arXiv:2606.06335v1 Announce Type: cross Abstract: Performance estimation under distribution shift aims to predict how a model behaves on an unlabeled test set whose distribution differs from the train
arXiv:2606.05740v1 Announce Type: new Abstract: Deep neural networks trained under severe class imbalance often exhibit degraded performance, typically attributed to statistical bias. In this work, we
arXiv:2606.06099v1 Announce Type: new Abstract: Whether Large Language Models (LLMs) exhibit covert psychological manipulation in complex human-AI interactions has garnered increasing safety concerns.
arXiv:2411.18343v3 Announce Type: replace-cross Abstract: Personalized Federal learning(PFL) allows clients to cooperatively train a personalized model without disclosing their private dataset. Howeve
'Crony socialism' likely refers to a critique of economic systems where government power becomes intertwined with corporate interests, combining socialist-style state intervention with favoritism towa
arXiv:2606.05232v1 Announce Type: cross Abstract: Efficient multimodal foundation models often rely on manually designed token-reduction operators, such as pruning, merging, pooling, and adaptive rewe
arXiv:2606.06418v1 Announce Type: cross Abstract: Many modern applications of deep learning involve training a neural network via a one-step prediction loss (e.g., L^2 regression, cross-entropy), but
Elon, last year: Grok 5 has a 10% chance of becoming world’s first AGI. Elon, this year: Never mind, we’re gonna be like CoreWeave, but bigger. My estimate of the probability of Grok 5 achieving AGI i
arXiv:2511.21667v4 Announce Type: replace-cross Abstract: Training Large Language Models (LLMs) to reason often relies on Reinforcement Learning (RL) with task-specific verifiers. However, many real-w
arXiv:2606.05644v1 Announce Type: new Abstract: When retrieved evidence contradicts parametric memory, language models frequently ignore context and default to memorized priors -- a failure that under
For more detailed arguments against @geoffreyhinton’s views on consciousness see – this new “Age of Empires” article https://arxiv.org/abs/2605.31514 - @anilkseth's recent TED talk & his recent articl
arXiv:2603.03955v2 Announce Type: replace-cross Abstract: Post-training with reinforcement learning (RL) has recently shown strong promise for advancing multimodal agents beyond supervised imitation.
go on. tell me @garymarcus is always wrong. The countdown until we are told that LLMs are “too big to fail” starts now. “We can’t afford to lose to China”, they will say, accepting their multibillion