All entries

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

agentsharrison-chase--x

Model Releases

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

DGX 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

model-releasesjeremy-howard--x

23 May 2026

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

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-releasesyohei-nakajima--x

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…

🦔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.

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

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

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

Agents

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…

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

agentsharrison-chase--x

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

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

industryelon-musk--x

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

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

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

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

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

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-releaseshugging-face

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

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

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

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

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

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

industryars-technica

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

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

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

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

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

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

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.

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

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

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

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”

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

Hardware

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

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

hardwarearxiv-cs-lg

Agents

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

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

agentsjerry-liu--x

What are the Right Symmetries for Formal Theorem Proving?

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

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

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

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?

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

researchyann-lecun--x

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

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

industryelon-musk--x

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

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

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-releasesanthropic--x

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…

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 …

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

industryclem-delangue--x

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

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

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

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

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