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  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
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127,604 results
23 May 2026

The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation

Model ReleasesDGX agent

arXiv:2605.21856v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated impressive reasoning abilities across a wide range of tasks, but data contamination undermines the object

The Journal of the @americanacad just published a new issue of Daedalus on AI and Science, edited by James Manyika. It has terrific line-up …

ResearchDGX agent

The Journal of the @americanacad just published a new issue of Daedalus on AI and Science, edited by James Manyika. It has terrific line-up of contributors, including @demishassabis, @ylecun, Josh Ten

The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning

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HumanDGX agent

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DGX agent

arXiv:2605.22800v1 Announce Type: new Abstract: Robustness, domain adaptation, photometric and occlusion invariance, compositional generalisation, temporal robustness, alignment safety, and classical

The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning

ResearchDGX agent

arXiv:2605.22498v1 Announce Type: new Abstract: Scientific machine learning often requires combining known physics with unknown parameters or correction terms learned from data. Existing approaches ei

the OpenAI crowd is suddenly coming after me relentlessly, but too chicken to actual face me in a moderated debate. here’s why: a. the IPO i…

SafetyDGX agent

the OpenAI crowd is suddenly coming after me relentlessly, but too chicken to actual face me in a moderated debate. here’s why: a. the IPO is coming, but OpenAI’s has lost their lead over Anthropic an

The Secretary Problem with a Stochastic Precursor

Model ReleasesDGX agent

arXiv:2605.22653v1 Announce Type: cross Abstract: In learning-augmented online algorithms, predictions are usually valued for what they say: a value estimate, a solution, or an algorithmic recommendat

The Signal in the Noise: OOD Detection Through Goodness-of-Fit Testing in Factorised Latent Spaces

SafetyDGX agent

arXiv:2605.22496v1 Announce Type: new Abstract: Deep generative models offer a natural foundation for out-of-distribution (OOD) detection, yet prior work has shown that their assigned likelihoods are

The Starship V3 heat shield held well

IndustryDGX agent

The Starship V3 heat shield held well We need heat shields to protect us, since we use the air to slow us down as we return to Earth. From orbital speed, it gets to 1650°C / 3000°F. From the Moon: 275

The US government absolutely should NOT bail out OpenAI. They have AFAIK been given more funding than anyone in history and there is no evid…

SafetyDGX agent

The US government absolutely should NOT bail out OpenAI. They have AFAIK been given more funding than anyone in history and there is no evidence they can run a profitable business,and meanwhile many o

The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler

ResearchDGX agent

arXiv:2605.22723v1 Announce Type: new Abstract: A central error measure in Gaussian DDPMs is the path-space KL divergence between the exact reverse chain and the learned Gaussian reverse process. This

The Volterra signature

Model ReleasesDGX agent

arXiv:2603.04525v2 Announce Type: replace-cross Abstract: Modern approaches for learning from non-Markovian time series, such as recurrent neural networks, neural controlled differential equations or

Thermodynamic Irreversibility of Training Algorithms

ApplicationsDGX agent

arXiv:2605.21933v1 Announce Type: cross Abstract: The training algorithms for AI systems all introduce far-from-equilibrium dynamical processes, and understanding the irreversibility of these algorith

This doesn’t sound sexy, but understanding these concepts deeply and implementing them carefully will save your business and career someday.

AgentsDGX agent

This post by Harrison Chase emphasizes the importance of mastering fundamental business and career concepts that may seem unglamorous but are critical for long-term success and risk mitigation. The co

this has been my experience as well. there definitely were improvements, specifically wrt shell based computer use, but also regressions, es…

Model ReleasesDGX agent

this has been my experience as well. there definitely were improvements, specifically wrt shell based computer use, but also regressions, especially in the last 3 version bumps of flicker and gerperte

This is collectively the largest financial iceberg ever put in front of the stock market. This is $5 trillion in TOTAL AIR. These companies …

SafetyDGX agent

This is collectively the largest financial iceberg ever put in front of the stock market. This is $5 trillion in TOTAL AIR. These companies have never made a dime. SpaceX is literally a government wel

this is even easier

Model ReleasesDGX agent

this is even easier oh even better, since you can test the runtime without an LLM, you can post this into Claude: “look up http://activegraph.ai, install and run a small experiment I would like levera

🦔This one happened yesterday but is still worth flagging. Starbucks killed its AI-powered inventory counting tool after nine months in Nort…

SafetyDGX agent

🦔This one happened yesterday but is still worth flagging. Starbucks killed its AI-powered inventory counting tool after nine months in North American stores. The system used LiDAR sensors and cameras

Three cheers for @flowersslop who agrees with me about nothing but still sees the value of thoughtful disagreement.

SafetyDGX agent

Three cheers for @flowersslop who agrees with me about nothing but still sees the value of thoughtful disagreement. thanks feels like a hot take now, but any space needs a real variety of opinions. I

Three Costs of Amortizing Gaussian Process Inference with Neural Processes

ResearchDGX agent

arXiv:2605.21798v1 Announce Type: new Abstract: Neural processes amortize Gaussian process inference, replacing the exact O(n^3) posterior with a learned O(n) map from context sets to predictive distr

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting

ResearchDGX agent

arXiv:2605.22365v1 Announce Type: cross Abstract: Time Series Forecasting (TSF) plays a critical role across many domains, yet it is vulnerable to backdoor attacks. However, backdoor defenses tailored

to everyone that's using ai to generate their tweets. we know. i know you think you're being lowkey. i know you might be switching around so…

AgentsDGX agent

to everyone that's using ai to generate their tweets. we know. i know you think you're being lowkey. i know you might be switching around some words, and removing em dashes. but it's so obvious. anyon

Today SpaceX launched ~45tons of Starlink mass simulators on Starship Flight 12, the highest payload tonnage to space since Saturn V's Skyla…

IndustryDGX agent

Today SpaceX launched ~45tons of Starlink mass simulators on Starship Flight 12, the highest payload tonnage to space since Saturn V's Skylab (77t) in 1973. This is a huge milestone for spaceflight an

TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems

ResearchDGX agent

arXiv:2605.21553v1 Announce Type: new Abstract: Tokens are becoming the basic units through which foundation models represent and process information for understanding and inference. However, traditio

Total amount raised: 190 billion Total spending pledged: 600 billion Total profits (cumulative): $0

SafetyDGX agent

Total amount raised: 190 billion Total spending pledged: 600 billion Total profits (cumulative): 0 @CarinaN818 @GaryMarcus Because you can raise 190 billion in funding by releasing an LLM chatbot that

Toward Understanding Adversarial Distillation: Why Robust Teachers Fail

ResearchDGX agent

arXiv:2605.21999v1 Announce Type: new Abstract: Adversarial Distillation aims to enhance student robustness by guiding the student with a robust teacher's soft labels within the min-max adversarial tr

Towards Explainability of SLMs by investigating Token Level Activation

ResearchDGX agent

arXiv:2605.22377v1 Announce Type: new Abstract: Transformer-based language models such as BERT having 110M+ parameters have revolutionized natural language understanding, yet their internal mechanisms

Towards Solving the Gilbert-Pollak Conjecture via Large Language Models

ResearchDGX agent

arXiv:2601.22365v2 Announce Type: replace-cross Abstract: The Gilbert-Pollak Conjecture itep{gilbert1968steiner}, also known as the Steiner Ratio Conjecture, states that for any finite point set in th

Towards Speed-of-Light Text Generation with Nemotron-Labs Diffusion Language Models

Model ReleasesDGX agent

Nemotron-Labs Diffusion Language Models represent NVIDIA's approach to achieving faster text generation through diffusion-based architectures, potentially offering significant speed improvements over

TreeDQN: Sample-Efficient Off-Policy Reinforcement Learning for Combinatorial Optimization

SafetyDGX agent

arXiv:2306.05905v2 Announce Type: replace Abstract: A convenient approach to optimally solving combinatorial optimization tasks is the Branch-and-Bound method. Its branching heuristic can be learned t

Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models

Model ReleasesDGX agent

arXiv:2605.21805v1 Announce Type: cross Abstract: State-space models (SSMs) are powerful probabilistic tools for modeling time-varying systems with latent dynamics. Inference in SSMs involves the esti

Turning Trust to Transactions: Tracking Affiliate Marketing and FTC Compliance in YouTube's Influencer Economy

ResearchDGX agent

arXiv:2603.04383v2 Announce Type: replace-cross Abstract: YouTube has evolved into a powerful platform where creators monetize their influence through affiliate marketing, raising concerns about trans

Twice Sequential Monte Carlo for Tree Search

SafetyDGX agent

arXiv:2511.14220v3 Announce Type: replace Abstract: Model-based reinforcement learning (RL) methods that leverage search are responsible for many milestone breakthroughs in RL. Sequential Monte Carlo

Two space shuttle-era spacewalkers enter Astronaut Hall of Fame

IndustryDGX agent

Tom Akers and Joe Tanner, veteran space shuttle astronauts who each flew four missions, were inducted into the U.S. Astronaut Hall of Fame on May 16, 2026. Tanner logged 1,069 hours in space and more

UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection

Model ReleasesDGX agent

arXiv:2605.22621v1 Announce Type: cross Abstract: The detection of previously unseen network attacks remains a major challenge for intrusion detection systems. Although supervised learning methods oft

Uncertainty-Aware Distribution-to-Distribution Flow Matching for Scientific Imaging

ResearchDGX agent

arXiv:2603.21717v4 Announce Type: replace Abstract: Distribution-to-distribution generative models support scientific imaging tasks ranging from modeling cellular perturbation responses to translating

Uncertainty quantification for Markov chain induced martingales with application to temporal difference learning

SafetyDGX agent

arXiv:2502.13822v3 Announce Type: replace-cross Abstract: We establish novel and general high-dimensional concentration inequalities and Berry-Esseen bounds for vector-valued martingales induced by Ma

Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation

ResearchDGX agent

arXiv:2605.22765v1 Announce Type: new Abstract: Discrete diffusion models are often trained through clean-data prediction, but the prediction can be used in different ways to define the reverse dynami

Uniform-in-Time Weak Propagation-of-Chaos in Shallow Neural Networks

ResearchDGX agent

arXiv:2605.22010v1 Announce Type: cross Abstract: We consider one-hidden layer neural networks trained in the feature-learning regime using gradient descent, and relate the output of the finite-width

until it isn’t,and maybe blows up the economy

SafetyDGX agent

Gary Marcus discusses the risks that AI systems may function adequately until they unexpectedly fail catastrophically, potentially causing severe economic damage. The post suggests that current AI rel

update: Theo (I still don’t really know who he is) reports that he has not in fact accepted fees from OpenAI.

SafetyDGX agent

Gary Marcus reports on X that someone named Theo has clarified he did not accept fees from OpenAI, following earlier ambiguity about his financial relationships with the company. The post appears to b

VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation

Model ReleasesDGX agent

arXiv:2605.22368v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly deployed for software engineering, constructing high-quality benchmarks is crucial for evaluating not j

Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift

SafetyDGX agent

arXiv:2605.21507v1 Announce Type: cross Abstract: Atmospheric visibility is a critical variable for transportation safety and air quality management, however, accurate prediction remains challenging d

VRPRM: Process Reward Modeling via Visual Reasoning

ResearchDGX agent

arXiv:2508.03556v3 Announce Type: replace Abstract: Process Reward Model (PRM) is widely used in the post-training of Large Language Model (LLM) because it can perform fine-grained evaluation of the r

Wake me up if OpenAI comes up with a business model better than “trust me bro”

SafetyDGX agent

Gary Marcus critiques OpenAI's business model sustainability, suggesting it lacks transparency or clear long-term viability beyond investor confidence. The post implies skepticism about OpenAI's path

WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM Serving

HardwareDGX agent

arXiv:2512.09472v2 Announce Type: replace-cross Abstract: Deploying multiple models within shared GPU clusters is a key strategy to improve resource efficiency in large language model (LLM) serving. E

We pride ourselves on building document processing that is not only accurate and cheap, but massively scalable to millions of documents per …

AgentsDGX agent

We pride ourselves on building document processing that is not only accurate and cheap, but massively scalable to millions of documents per customer. Whether you are looking to parse a massive offline

What are the Right Symmetries for Formal Theorem Proving?

SafetyDGX agent

arXiv:2605.22257v1 Announce Type: new Abstract: Formal theorem provers based on large language models (LLMs) are highly sensitive to superficial variations in problem representation: semantically equi

When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning

Model ReleasesDGX agent

arXiv:2605.21606v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) trains a student on its own rollouts using a privileged teacher, but its standard objective weights all generated tok

When Stronger Triggers Backfire: A High-Dimensional Theory of Backdoor Attacks

ResearchDGX agent

arXiv:2605.22481v1 Announce Type: new Abstract: Backdoor poisoning attacks behave counter-intuitively in high dimensions: stronger training triggers can help the defender. We study regularised general

When to Switch, Not Just What: Transition Quality Prediction in Clash Royale

SafetyDGX agent

arXiv:2605.21868v1 Announce Type: new Abstract: In competitive games, players frequently switch strategies after losing streaks, yet our analysis of 926,334 match records from 34,619 Clash Royale play

Why?

ResearchDGX agent

Why? Most green-card applicants will need to go abroad to apply for permanent residency at an American consulate, rather than filing from within the U.S. as they do now, the Trump administration annou

why else are we here if not to live with unreasonable passion for things

IndustryDGX agent

Elon Musk expresses the philosophical view that human purpose is fundamentally tied to pursuing intense, passionate engagement with meaningful endeavors, suggesting that living without such fervent co

Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics

Model ReleasesDGX agent

arXiv:2605.22644v1 Announce Type: new Abstract: Stochastic Gradient Descent (SGD) is commonly modeled as a Langevin process, assuming that minibatch noise acts as Brownian motion. However, this approx

Winner-Take-All bottlenecks enforce disentangled symbolic representations in multi-task learning

ResearchDGX agent

arXiv:2605.22472v1 Announce Type: new Abstract: Winner-take-all (WTA) networks constitute a central circuit motif in cortical networks of the brain. In addition, WTA-like activations are abundant in m

Wordle 1,798 5/6 ⬛⬛🟨⬛⬛ 🟨⬛⬛⬛🟨 ⬛🟩⬛🟩🟩 ⬛🟩🟩🟩🟩 🟩🟩🟩🟩🟩

Model ReleasesDGX agent

This is a Wordle game result post from Anthropic's X (Twitter) account showing the solution found in 5 of 6 attempts, with the color-coded emoji grid indicating which letters were correct, misplaced,

World models have existed for years (though not in LLMs); I take them to be explicit representation of objects, places, events, mechanisms e…

SafetyDGX agent

World models have existed for years (though not in LLMs); I take them to be explicit representation of objects, places, events, mechanisms etc you can reason over. Chess computers have them (board, pi

Yesterday, for the winning French cup final, there was 50,000 Lens fans at the stade de France + 40,000 at the home stadium + 10,000 in the …

IndustryDGX agent

Yesterday, for the winning French cup final, there was 50,000 Lens fans at the stade de France + 40,000 at the home stadium + 10,000 in the fan zones = 100,000 total. The city only has 33,000 inhabita

you can destroy a person’s simply by lying about them. that is what OpenAI is trying do to me. ask yourself why

SafetyDGX agent

you can destroy a person’s simply by lying about them. that is what OpenAI is trying do to me. ask yourself why The case against me below is completely intellectually dishonest, filled with lies and m

Zero-shot adaptation to order book dynamics

ResearchDGX agent

arXiv:2605.21707v1 Announce Type: cross Abstract: We describe an adaptive market-making architecture that preserves the analytical structure of the Avellaneda--Stoikov framework while introducing a su

22 May 2026

100% agree with @BethMayBarnes on this point and most (though not quite all*) of her important thread. *i am much less concerned about extin…

SafetyDGX agent

100% agree with @BethMayBarnes on this point and most (though not quite all*) of her important thread. *i am much less concerned about extinction risk per se, as discussed in my TLS review of If Anyon

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