Coding agents as normal technology

An overview of policy proposals to respond to the economic disruption from transformative AI.

A Round Up And Comparison of 10 Open-Weight LLM Releases in Spring 2026

A personal note for non-tech friends and family on what AI is starting to change.

As AI advice becomes more important, we are going to need to get better at assessing it

Multiple-Choice Benchmarks, Verifiers, Leaderboards, and LLM Judges with Code Examples

We can now build autonomous systems that pursue meaningful, high-level goals. Yet, for every inspiring success story, there is a…

We’re introducing GDPval, a new evaluation that measures model performance on economically valuable, real-world tasks across 44 occupations.

The rise of AI's "thinking" machines is not the problem. The decline of thinking people is.

To study such patterns of early AI adoption, we extend the Anthropic Economic Index along two important dimensions, introducing a geographic analysis of Claude.ai conversations and a first-of-its-kind...

The Agent2Agent protocol is an open standard that allows different AI agents to securely communicate, collaborate, and solve complex problems together.

I’m giving a talk in Austin next week (only a few tickets left) and San Diego in February. Grab seats and come see me! My study of history has led me to believe that there is a kind of dark matter ins...

Verifying magic on the jagged frontier

Construct a knowledge graph and use it to enable your AI agent to find and call the right APIs in the right order.

A Detailed Look at One of the Leading Open-Source LLMs

Large language models (LLMs) have evolved from simple chatbots into autonomous agents capable of performing complex tasks such as editing production...

Does process matter? We are about to find out.

From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design

macro and the stock market

congress.gov API. Contribute to LibraryOfCongress/api.congress.gov development by creating an account on GitHub.

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6 tactics for fixing your context and shipping better agents. As Karpathy says, building LLM-powered apps means learning to ‘pack the context windows just right’—smartly deploying tools, managing info...

Plus reviews of two new papers about prompt injection, and Anthropic's tips on building multi-agent LLM systems