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Religion and AI as Distributed Meaning Systems
B-spline Policy: Accelerating Manipulation with Continuous Action Representations
Requential Coding: Compressing Models by Teaching Themselves
Trident: Adaptive Scheduling for Heterogeneous Multimodal Data Pipelines
Measuring Intelligence Beyond Human Scale
Soofi S: A Sovereign Foundation Model for German and English
Lumo-2: Teaching Robots to Predict the Physics of Action
From Chaos to Structure: The Unreasonable Power of Random Matrices
Billions of Sketches Reveal Hidden Cultural Variation in Human Concepts
ProxyPose: Tracking 3D Motion Without 3D Models
Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning
Video Generation Models as Universal Vision Foundation Models
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
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