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AI Alignment Explained: What It Actually Means to Make AI Do What We Want

AI Alignment Explained: What It Actually Means to Make AI Do What We Want

What AI alignment actually means as an engineering problem. The three core challenges, the techniques that exist today, and why agents make everything harder.

9 min read
How to Read AI Research Papers Without a PhD

How to Read AI Research Papers Without a PhD

A practical guide to reading AI research papers. Learn the three-pass method, spot red flags in benchmarks and methodology, and build a sustainable reading practice.

10 min read
Hierarchical Agents Don't Know Who They're Talking To

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....

7 min read
When Your Agent Stops Using Tools

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...

8 min read
The Protocol Wars Are Ending. Here's What Actually Happened.

The Protocol Wars Are Ending. Here's What Actually Happened.

Anthropic's MCP and Google's A2A joined the Linux Foundation. IBM killed its own protocol to back A2A. 146 organizations signed on. The wars are ending.

6 min read
LLM-Powered Swarms and the 300x Overhead Nobody Wants to Talk About

LLM-Powered Swarms and the 300x Overhead Nobody Wants to Talk About

SwarmBench tested 13 LLMs on swarm coordination tasks. The results show catastrophic overhead and communication that doesn't actually help.

6 min read
The Swarm That Fakes Consensus

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.

6 min read
Attention Heads Are the New Inference Budget

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...

8 min read
LLMs Can't Find What's Already In Their Heads

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...

8 min read
Multi-Agent Reasoning's Memory Problem

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...

9 min read
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