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Quantum Gravity Signatures in Holographic Codes

From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discovery

Ring-Zero: Trillion-Scale Reinforcement Learning for Emergent Reasoning

The Seriality Gap in Video Diffusion Models

LoRA: Adapting Giant Language Models Without Retraining Them

Mathematics of Data Science: When High Dimensions Break Our Intuition

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

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