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Breaking AI research news: latest papers from arXiv, NeurIPS, ICML, and top labs. Track transformer architecture advances, reasoning breakthroughs, and scientific discoveries in machine learning and artificial intelligence.

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Two AI agents face off in a game-theory matrix, one choosing cooperation, the other defection, with a red warning…
AI Research
75

Game Theory Exposes Critical Gaps in AI Safety: New Benchmark Reveals Multi-Agent Risks

Researchers have developed GT-HarmBench, a groundbreaking benchmark testing AI safety through game theory. The study reveals frontier models choose socially beneficial actions only 62% of time in multi-agent scenarios, highlighting significant coordination risks.

arxiv.org/Feb 12, 2026/3 min read
ai safetybenchmarkingmulti-agent systems
A humanoid robot or animated figure demonstrating fluid motion gestures, with flowing digital data streams or code…
AI Research
75

LLaMo: The First Truly Unified Motion-Language AI Model That Understands and Generates Human Movement

Researchers have developed LLaMo, a groundbreaking AI model that unifies motion understanding and generation with language capabilities. Unlike previous approaches that suffered from catastrophic forgetting, LLaMo preserves linguistic knowledge while achieving real-time motion generation at over 30 FPS.

arxiv.org/Feb 12, 2026/3 min read
natural language processingcomputer visionhuman motion analysis
Two data scientists examine visualizations of overlapping word clusters on a monitor, highlighting semantic…
AI Research
70

The Hidden Contamination Crisis: How Semantic Duplicates Are Skewing AI Benchmark Results

New research reveals that LLM training data contains widespread 'soft contamination' through semantic duplicates of benchmark test data, artificially inflating performance metrics and raising questions about genuine AI capability improvements.

arxiv.org/Feb 12, 2026/3 min read
ai ethicsmachine learningresearch methodology