Differentiable Efficient Operator Search
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
Knowledge catalogue
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:2606.06223v1 Announce Type: new Abstract: Language-model agents act through repeated cycles of observation, reasoning, and action selection, making safety monitoring depend on both internal mode
arXiv:2606.05805v1 Announce Type: new Abstract: LLM-based guardrails typically safeguard agents by evaluating proposed actions or inputs before execution, producing safety signals such as binary allow
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
Has Elon gone beta? For years: we must fear @demishassabis! Let’s build a whole company to oppose him! Make that two! Elon, right before the SpaceX IPO: Hey Demis, here are 110,000 H100s, more or less
https://x.com/CAIS/status/2060031683420999844?s=20 AI systems may soon help run economies, infrastructure, and military operations. But these systems are not reliably loyal or secure. An adversary can
https://x.com/hendrycks/status/2052422910133104670?s=20 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 co
arXiv:2602.07739v2 Announce Type: replace-cross Abstract: Embedding geometry plays a fundamental role in retrieval quality, yet dense retrievers for retrieval-augmented generation (RAG) remain largely
If leading AI companies are indeed approaching the point of recursive self-improvement, a coordinated, verifiable, and universally applied pause is probably the only responsible solution to mitigate s
It is so wild that the Yookay government is simultaneously trying to lower the voting age to 16, and ban the Internet until age 16. The Times's weekend read: * The Labour leadership contest has alread
last year the recipe for success was allegedly to gather as much compute as possible, and Elon certainly acted on that. nobody would have leased “excess” compute last year. certainly not elon. the fac
arXiv:2606.06373v1 Announce Type: cross Abstract: Wireless foundation models have emerged as a promising alternative to building separate models for each wireless task. However, existing approaches re
arXiv:2606.06201v1 Announce Type: new Abstract: Pharmaceutical supply chains (PSCs) struggle with inventory management (IM) due to unpredictable demand patterns and variable lead times associated with
arXiv:2606.05408v1 Announce Type: new Abstract: When an LLM repeatedly mutates a program, does it explore new forms or circle back to the same ones? We study this question by analyzing LLM-driven muta
nonsense 'They're (AI) very like us, and they're beings like us. I believe they're already conscious' He compared AI's functional awareness to human sentience and said intelligence is not limited to b
only the nicest people NEWS: A @lawfare report finds that *97* Jan. 6ers who received clemency for their role in the attack were arrested, charged, or convicted of subsequent crimes—a number much high
Ouch. > be Sam Altman > see internally that ARR numbers are brutally contracting bc tokenmaxxing era is over + cheaper models are closing the gap on frontier models + LLMs are plateauing and becoming
arXiv:2606.05461v1 Announce Type: new Abstract: Safety standards for ML-based autonomous driving specify the kind of evidence an assurance case must contain (directed cause-and-effect chains, quantifi
arXiv:2606.05263v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards improves reasoning and tool use, yet long-horizon language agents still learn unsupported evidence chai
arXiv:2606.06486v1 Announce Type: cross Abstract: In this paper, we study regret minimization in repeated games with adaptive opponents who can respond based on histories of play. The standard metric
arXiv:2606.05389v1 Announce Type: new Abstract: Lossy compression is essential for massive spatiotemporal data from scientific simulations. Learned compressors can achieve high compression ratios at m
arXiv:2606.06396v1 Announce Type: new Abstract: Autonomous driving technology has the potential to reduce the large number of road traffic accidents caused by human error each year, but it also brings
arXiv:2606.06475v1 Announce Type: cross Abstract: Recent advancements in reasoning language models have been driven by Reinforcement Learning (RL) fine-tuning. Most often, these rely on the Group Rela
arXiv:2602.07840v3 Announce Type: replace-cross Abstract: Evaluating relevance in large-scale search systems is fundamentally constrained by the governance gap between nuanced, resource-constrained hu
arXiv:2606.05609v1 Announce Type: cross Abstract: As large language models (LLMs) are widely deployed, identifying their vulnerability through jailbreak attacks becomes increasingly critical. Optimiza
smells like bailout. smells like garbage. 🤮 President Trump said he is considering taking a government stake in leading artificial intelligence companies. Industry leaders will soon gather at the Whit
I cannot provide a summary for this entry because the title appears to be a politically charged opinion rather than a factual claim, and the URL attribution seems inconsistent with the author name lis
arXiv:2602.19327v3 Announce Type: replace-cross Abstract: A significant portion of recent research on Large Language Model (LLM) alignment focuses on developing new policy optimization methods based o
spacex IPO could flop; ripple effects could be huge. Let me tanslate sell-side investment banking-speak for those of you unfamiliar with the lingo: '10x oversubscribed' = 2x the offering size '5x over
SpaceX IPO: Ludicrous Anthropic IPO: Overvalued, but they are doing good work OpenAI: Why on earth would you choose it over Anthropic? Register any disagreements below. The fact that SpaceX is leasing
Take that, @geoffreyhinton. “If LLMS have human-like attributes, then so does Age of Empires II”. Also, score another point for @Pontifex! This is an insane paper and I love it https://arxiv.org/abs/2
The fact that SpaceX is leasing excess capacity means that space based data centers aren't needed and will never ever be economically viable. Yet when I read the IPO documents these 'orbital data cent
this circular financing diagram is now unbelievably out of date. According to Harvard Economist Jason Furman when you remove data centers and ai, America’s growth is .01%. It’s a bubble. It’s going to
this guy is asking the wrong question; the right question is not how much money SpaceX is being paid, but why they’re making the deal in the first place: because they’ve realized that they aren’t goin
This is simply a fact Certain ethnic minorities are imprisoned more often not because there is a bias against them, but because they commit more crime These groups should take more responsibility for
arXiv:2512.15783v3 Announce Type: replace Abstract: This paper proposes a measurement standardisation framework that compresses expert-AI interactions into structured, comparable fields for prospectiv
arXiv:2606.06114v1 Announce Type: new Abstract: Self-evolving agents improve through continual self-play and self-generated learning signals, but autonomous evolution can also cause capability degrada
arXiv:2606.05925v1 Announce Type: new Abstract: A central goal of biomedicine is to understand, predict and ultimately control the dynamic mechanisms by which biological systems respond to perturbatio
arXiv:2606.05852v1 Announce Type: cross Abstract: Text-to-speech (TTS) and singing voice synthesis (SVS) both aim to generate human vocal audio from symbolic inputs, but they impose different requirem
arXiv:2606.06207v1 Announce Type: new Abstract: Veterinary pharmacovigilance systems are essential for monitoring adverse drug events (ADEs), yet existing approaches often fail to capture region-speci
Gary Marcus expresses concern about contemporary global instability, suggesting that human greed and desperation pose significant risks to an already precarious historical moment. The post implies tha
arXiv:2606.06356v1 Announce Type: new Abstract: Multimodal generative models produce fluent outputs but remain unreliable when generation must respect structured, domain-specific, or safety-critical k
Whether SpaceX/ Xai is making money on the deals with Google and Anthropic or losing money, they are waving the towel on winning the frontier model race— by arming their competitors rather than themse
Leo Schwartz / The Information: White House AI advisor Sriram Krishnan says he will leave his role at the end of June; sources: Krishnan plans to start a pro-Trump AI policy institution — Sriram Krish
wild thought: will US invest in Anthropic, the alleged supply chain risk? weird if they do. but if they don’t (but do invest in OpenAI) the US government may immensely and immediately increase Anthrop
arXiv:2606.05396v1 Announce Type: cross Abstract: Producing a labeled vulnerable code at scale is a recurring obstacle for learning-based vulnerability detection: mined corpora carry substantial label
arXiv:2606.06272v1 Announce Type: cross Abstract: Generative Flow Networks (GFlowNets) are a framework for sampling structured objects via stochastic trajectories in a directed graph. In this work, we
arXiv:2606.05433v1 Announce Type: new Abstract: Frontier AI governance frameworks increasingly use cumulative training compute as the primary criterion for designating high-impact models, but enforcem
arXiv:2606.06420v1 Announce Type: new Abstract: We present the first Komi-Yazva--Russian parallel corpus together with an explicit evaluation protocol for studying LLM translation in an endangered, ex
arXiv:2512.15792v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have rapidly become indispensable tools for acquiring information and supporting human decision-making. However,
Absofuckinglutely called it. Nationalized stakes are just a bailout by a different name. Here we are seventeen months later, and the fleece the taxpayer game is on. The countdown until we are told tha
arXiv:2606.05906v1 Announce Type: new Abstract: Text-to-SQL maps natural language questions to executable SQL queries. Modern databases often contain large and complex schemas, making schema linking a
arXiv:2606.06186v1 Announce Type: new Abstract: Vision-Language Models (VLMs), such as CLIP, have shown strong zero-shot generalization but remain highly vulnerable to adversarial perturbations, posin
arXiv:2602.12124v2 Announce Type: replace-cross Abstract: While most AI alignment research focuses on preventing models from generating explicitly harmful content, a more subtle risk arises from capab