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Vision Pretraining for Dense Spatial Perception

Wan-Streamer v0.2: Higher Resolution, Same Latency

KAT-Coder-V2.5: Infrastructure-Driven Code Agents

RoboDojo: When Generalist Robot Policies Meet Reality

Collective Cognition in Hybrid Groups: A Network Science Synthesis

Gemma 4: Rethinking Multimodal AI from the Ground Up

The Final Strand: Proving Burau is Faithful for Four Braids

When Fireballs Don't Cooperate: A Statistical Null Result Story

LLM-as-a-Verifier: Scaling Verification for Smarter AI Agents

Kani: A Model Checker for Rust

NeuroCogMap Reveals Cognitive Organization of Large Language Models

A Mathematical Introduction to Diffusion Models

AdaJEPA: Adaptive Latent World Models That Learn While They Plan

When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning

LeVLJEPA: Vision-Language Learning Without Negatives

One Layer Is Enough: Rethinking RL Training in Transformers

GPC: Large-Scale Generative Pretraining for Transferable Motor Control

Hierarchical Global Attention: Scaling Transformers to 64K Tokens

The Verification Horizon: No Silver Bullet for Coding Agent Rewards

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

The Shift to Agentic AI: Evidence from Codex

Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation

What is it Like to Be a Bot: The S3Q Theory of Consciousness

SPIRAL: Teaching Language Models to Search, Explore, and Synthesize

You Don't Need to Run Every Eval

Autodata: Teaching AI Agents to Generate Their Own Training Data

Data Centers Actually Lowered Your Electric Bill

OpenThoughts-Agent: Data Recipes for Agentic Models

Qwen-AgentWorld: Language World Models for General Agents

Unlimited OCR Works: Breaking the Long Document Bottleneck

Teaching Language Models to Think Like Real Humans in Persuasion Games

SC3-Eval: Self-Consistent Video Generation for Robot Policy Evaluation

Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States

BabelTele: When LLMs Speak in Code Humans Can't Read

Do as I Do: Learning Dexterous Manipulation from Everyday Human Videos

Five Generations of TPU: Architectural Stability at Supercomputer Scale

VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models

Fearless Concurrency on the GPU

Learning Visual Representations From Pure Causality

Teaching Robots to Feel: Learning Compliant Manipulation Through Haptic Teleoperation

CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification

Rubric-Guided Self-Distillation: Post-Training Without Verifier Overhead

FACTR 2: Teaching Cheap Robots to Feel Without Force Sensors

From AGI to ASI: Pathways, Bottlenecks, and the Limits of Machine Intelligence

MiniMax Sparse Attention: Orders-of-Magnitude Speedups for Ultra-Long Context LLMs

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation

Decentralized Multi-Agent Systems with Shared Context

Seeing the Unseen: How Optical Flaws Reveal Real Transients in Century-Old Sky Photos

D-VAL: Proving Planning Domains Do the Same Thing

Can AI Refute Economic Theory? Testing Models on Hidden Errors

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