model releases

Structure-Regularized Interpretable TCR-Epitope Prediction

arXiv:2606.30902v1 Announce Type: cross Abstract: T cell receptor (TCR)-epitope binding prediction is essential for understanding adaptive immunity and developing immunotherapies. Existing sequence- a

Surrogate Fidelity: When Can Open LLMs Explain Closed Ones?

DGX agent

arXiv:2606.32008v1 Announce Type: new Abstract: Mechanistic interpretability (MI) requires full access to model internals, yet the APIs for most widely deployed language models at best expose log-prob

model-releasesarxiv-cs-lg

1 Jul 2026

Surrogate-Gated Generation and Foundation-Model Embeddings for Bayesian Materials Design

arXiv:2606.28578v1 Announce Type: cross Abstract: Closed-loop materials discovery iterates between proposing candidate structures and evaluating their properties, and property evaluation dominates the

Tailored minimal reservoir computing: on the bidirectional connection between nonlinearities in the reservoir and in data

arXiv:2504.17503v2 Announce Type: replace Abstract: We study how the degree of nonlinearity in the input data affects the optimal design of reservoir computers, focusing on how closely the model's non

TaxoMIL: Taxonomy-Constrained Learning for Hierarchical Whole Slide Image Analysis

arXiv:2606.31100v1 Announce Type: new Abstract: Whole slide image (WSI) analysis is central to computational pathology, with multiple instance learning (MIL) emerging as the standard pipeline for slid

Teaching LLMs String Matching, Backtracking, and Error Recovery to Deduce Bases and Truth Tables for the Combinatorially Exploding Bit Manipulation Puzzles

arXiv:2606.23672v2 Announce Type: replace Abstract: This paper presents our algorithmic innovations for the NVIDIA Nemotron Model Reasoning Challenge, focusing on Bit Manipulation Puzzles. In this tas

Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer

arXiv:2606.31574v1 Announce Type: cross Abstract: Accurate modeling of the divertor temperature field is essential for preventing material melting and damage and for extending the service life of fusi

The automation rate of remote projects has increased ~4x in the past five months.

model-releasesdan-hendrycks--x

The automation rate of remote projects has increased ~4x in the past five months. New Remote Labor Index results: AI automation of real remote work is increasing fast. Claude Fable 5 now completes 16.

The Bidirectional Process Reward Model

arXiv:2508.01682v3 Announce Type: replace Abstract: Process Reward Models (PRMs), which assign fine-grained scores to intermediate reasoning steps within a solution trajectory, have emerged as a promi

The Calibration Turn in AI-Assisted Research: A Conceptual and Methodological Framework for Evidence-Licensed Claims

arXiv:2606.31273v1 Announce Type: new Abstract: AI-assisted research has entered a stage in which the central question is not only whether systems can generate hypotheses, run experiments, or produce

🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI

model-releaseslatent-space

This episode discusses cutting-edge diffusion model research applications beyond large language models, featuring insights from Evan Feinberg and Sergey Edunov of Genesis Molecular AI on how diffusion

The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills

arXiv:2606.31272v1 Announce Type: cross Abstract: AI agents increasingly acquire and execute skills at runtime: bundles of prompt instructions, executable code, and tool declarations fetched from mark

The Download: Anthropic launches Claude Science, and California’s carbon manure math

model-releasesmit-tech-review

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Claude Science is Anthropic’s newest flagship product At an ev

The Great Algae Conspiracy Theory, sure to go down in history along with Hugo Chavez stole the 2020 election, the windmills are killing us, …

model-releasesanthropic--x

The Great Algae Conspiracy Theory, sure to go down in history along with Hugo Chavez stole the 2020 election, the windmills are killing us, and other Trump classics Trump on the Reflecting Pool: 'They

The latest AI news we announced in June 2026

Google's June 2026 AI announcements included the launch of Gemini 3.5 Live Translate, the latest features in Android 17 and the new Google Home Speaker built for Gemini. The updates introduced new fea

model-releasesgoogle-ai

Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action

arXiv:2606.31916v1 Announce Type: new Abstract: Theory of Mind (ToM) benchmarks for Large Language Models (LLMs) typically rely on passive question-answering formats, but the deployment of LLMs in inc

Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents

arXiv:2606.31648v1 Announce Type: new Abstract: We present LuckyStar 111B, a 111B-parameter hybrid reasoning model developed through a collaboration between Cohere and LG CNS for Korean-English enterp

This is exactly why we believe in customization. Quick context: Factory's original secret scanner was deterministic, so it either flagged th…

model-releasesfireworks-ai--x

This is exactly why we believe in customization. Quick context: Factory's original secret scanner was deterministic, so it either flagged things that weren't actually secrets (false positives) or miss

This is pretty concerning. You could still do this at the API level to some degree, but they seemingly just blatantly put it right into the …

model-releasesnous-research--x

This is pretty concerning. You could still do this at the API level to some degree, but they seemingly just blatantly put it right into the code? This is why open harnesses and agents are a much bette

🚨 TRUMP’S FINANCIAL DISCLOSURE JUST DROPPED…AND IT’S WORSE THAN YOU THOUGHT. The U.S. Office of Government Ethics released Donald Trump’s 9…

model-releasesyann-lecun--x

🚨 TRUMP’S FINANCIAL DISCLOSURE JUST DROPPED…AND IT’S WORSE THAN YOU THOUGHT. The U.S. Office of Government Ethics released Donald Trump’s 927-page financial disclosure today. Here’s what a sitting U.S

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies

arXiv:2606.31039v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit strong semantic capabilities, yet their resilience to manipulative linguistic patterns such as logical fallacies re

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios

arXiv:2603.29759v2 Announce Type: replace-cross Abstract: Recent advances in vision-language models (VLMs) have accelerated their application to indoor safety hazards assessment. However, existing ben

Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems Lens

arXiv:2606.30755v1 Announce Type: cross Abstract: Claw-like AI agents (e.g., OpenClaw) are always-on processes with persistent access to credentials, files, tools, and external services. They take on

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

arXiv:2606.31732v1 Announce Type: new Abstract: Visual-to-Code generation, which transforms scientific plots, vector graphics, and webpages into executable scripts, demands a level of pixel-precise al

Unified Structural-Hydrodynamic Modeling of Underwater Underactuated Mechanisms and Soft Robots

model-releasesarxiv-cs-ro

arXiv:2603.07939v2 Announce Type: replace Abstract: Underwater robots are widely deployed for ocean exploration and manipulation. Underactuated mechanisms are advantageous in aquatic environments beca

We are at a turning point: many of the decisions we make about AI today will permanently shape our future. Governments and the public need t…

model-releasesyoshua-bengio--x

We are at a turning point: many of the decisions we make about AI today will permanently shape our future. Governments and the public need to clearly understand the impacts, risks, and opportunities o

We are SO back

model-releasesjerry-liu--x

We are SO back Claude Fable 5 will be available again globally tomorrow. After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to

What Counts as an Error? Dual-Reference Benchmarking for Atypical ASR

arXiv:2606.31112v1 Announce Type: new Abstract: ASR systems have been often reported to underperform on atypical speech. An often conflated compounding factor is the existence of two valid transcripti

What If We Allocate Test-Time Compute Adaptively?

arXiv:2602.01070v5 Announce Type: replace Abstract: Test-time compute scaling allocates inference computation uniformly, uses fixed sampling strategies, and applies verification only for reranking. In

What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States

arXiv:2606.31612v1 Announce Type: new Abstract: Mobile GUI agents increasingly face long-horizon tasks that require reading, updating, and reusing task-relevant data across pages and applications. Exi

When Does Learning to Stop Help? A Cost-Aware Study of Early Exits in Reasoning Models

arXiv:2606.30852v1 Announce Type: new Abstract: Reasoning models spend different amounts of useful computation across instances, but it remains unclear when a learned stopping rule improves over simpl

When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors

arXiv:2606.32029v1 Announce Type: cross Abstract: While large language models (LLMs) perform well on table tasks, they still make data referencing errors (DREs), i.e., incorrectly citing or omitting t

When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue

arXiv:2606.31307v1 Announce Type: new Abstract: Large language models used in task-oriented dialogue often produce fluent but unsafe responses when backend database calls fail, return empty results, o

Why Solve It Twice? Hierarchical Accumulation of Skills for Transfer-Efficient ML Engineering

arXiv:2606.30911v1 Announce Type: new Abstract: ML engineering agents waste compute rediscovering known techniques because every competition is a cold start. We present HASTE, a hierarchical multi-age

WIDER-FAIR: An Annotated Version of the WIDER-FACE Dataset for Fairness Evaluation

arXiv:2606.31704v1 Announce Type: new Abstract: The deployment of face detection models in real-world applications raises important fairness concerns, as these systems may showcase performance dispari

Wiki!!!

model-releasesharrison-chase--x

Wiki!!! One unexpected outcome of this is that I'm now using the wiki as the ONLY place I run Claude Code I use it as a master controller for all of my repos, kicking off cross-repo tasks and using To

Wisdom Of The (AI) Crowd: Investigating Artificial Swarm Intelligence In Large Language Models

arXiv:2606.31404v1 Announce Type: new Abstract: Human swarm intelligence demonstrates remarkable collective accuracy but faces scalability constraints in cost, coordination, and time. We investigate w

Wordle 1,837 6/6 ⬛⬛⬛⬛⬛ ⬛⬛⬛⬛⬛ ⬛⬛🟨⬛⬛ ⬛🟩⬛⬛🟩 🟩🟩⬛⬛🟩 🟩🟩🟩🟩🟩

model-releasesanthropic--x

This entry documents a Wordle puzzle solution (puzzle #1,837) shared by Anthropic on X/Twitter, showing the complete sequence of guesses and letter feedback that led to solving the word on the sixth a

Wordle 1,838 4/6 ⬛⬛⬛🟨🟨 ⬛⬛⬛⬛⬛ ⬛⬛🟨⬛🟩 🟩🟩🟩🟩🟩

model-releasesanthropic--x

This appears to be a Wordle game result shared by Anthropic on X (formerly Twitter), showing the solution was found in 4 attempts with a specific pattern of correct (green), present but misplaced (yel

World-Model Collapse as a Phase Transition

arXiv:2606.31399v1 Announce Type: new Abstract: Water looks unchanged as it warms, then at a critical point it boils. We ask whether long-horizon language agents show an analogous transition in their

WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models

arXiv:2606.31672v1 Announce Type: cross Abstract: Despite rapid progress in interactive world models (IWMs), existing benchmarks evaluate action following only at trajectory level and ignore memory an

Xiaomi-GUI-0 Technical Report

arXiv:2606.31410v1 Announce Type: new Abstract: Graphical user interface (GUI) agents build on vision-language models to complete user tasks end-to-end in real applications through interface actions s

Yes! Pre-classifying routers are going to result in a lot of bad work because routing is hard and tend to underestimate the value of intelli…

model-releasesethan-mollick--x

Yes! Pre-classifying routers are going to result in a lot of bad work because routing is hard and tend to underestimate the value of intelligence on many problems. OpenAI learned this with GPT-5, now

You really need to benchmark models for your use case. As soon as judgements & decisions stack on top of each other, the differences between…

model-releasesethan-mollick--x

You really need to benchmark models for your use case. As soon as judgements & decisions stack on top of each other, the differences between models amplifies, and no standard benchmark will tell you t

Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models

arXiv:2606.31846v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models offer a promising framework for robotic manipulation by connecting language instructions, visual observations, and

3D Scene-Adaptive Trajectory-Controllable Human Image Animation with Camera Movement

arXiv:2606.30514v1 Announce Type: new Abstract: Human image animation, which aims to generate a video of a reference subject following a provided action sequence, has received increasing research inte

30 Jun 2026

A Bayesian latent Gaussian process framework for aerodynamic uncertainty quantification

arXiv:2606.28871v1 Announce Type: cross Abstract: Predicting the aerodynamic performance (e.g. lift, drag, and moment coefficients) of an aircraft is challenging -- computational models are biased and

30 Jun 2026

A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories

arXiv:2606.29068v1 Announce Type: cross Abstract: Text encoders are known for their utility in natural language processing, as they are able to efficiently compress inputs into dense vectors while pre