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We Built the Agent Internet Before Its Firewalls
Three CVEs in Anthropic's own MCP reference server. Over 8,000 production servers exposed to the internet. The protocol powering AI agents shipped without security, and the industry is paying for it.
Hierarchical Agents Don't Know Who They're Talking To
Roughly 70% of Earth science datasets hosted in large repositories like PANGAEA go uncited after publication. The data exists. The agents can access it....
When Your Agent Stops Using Tools
Reinforcement learning was supposed to teach agents to use tools fluently. Instead, researchers are watching a consistent failure mode: models trained...
The Swarm That Fakes Consensus
Twenty-two researchers across four continents show how agent swarms fabricate consensus, infiltrate communities, and poison the training data of future AI models.
Attention Heads Are the New Inference Budget
Models that can technically process 128K tokens routinely fail on tasks requiring reasoning across 32K. That gap isn't a context window problem. It's an...
LLMs Can't Find What's Already In Their Heads
Knowledge graphs have a well-documented lookup problem. When you ask an LLM to traverse a KG and reason over multi-hop paths, it doesn't search the graph...
Multi-Agent Reasoning's Memory Problem
Reasoning language models score in the top percentile on math olympiad benchmarks, yet a new study from Stanford found they fail to correctly recall their...
Small Models Just Got Smarter About When to Think
Reasoning tokens aren't free. Every chain-of-thought step an LLM generates costs inference budget, and most of the time that thinking is wasted on tasks...
Small Models Just Learned When to Ask for Help
SWE-bench has been the graveyard of small language models. While GPT-4 class systems resolve over 40% of real-world GitHub issues, models under 10 billion...
MoE's Dirty Secret Is Load Balancing
Every frontier lab now ships a sparse Mixture-of-Experts model. Google's Switch Transformer started the trend. DeepSeek-V3 proved it could scale....