Latest Articles
Using Local Coding Agents
Using Local Coding Agents

Using Open-Weight Models in Local Coding Harnesses as an Alternative to Claude Code and Codex Subscriptions

LLM Research Papers: The 2026 List (January to May)
LLM Research Papers: The 2026 List (January to May)

A curated roundup of notable LLM research papers that came out this year

Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention
Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention

From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs

My Workflow for Understanding LLM Architectures
My Workflow for Understanding LLM Architectures

A learning-oriented workflow for understanding new open-weight model releases

Quick Notes
Inkling: A New Open-Weight 975B MoE with a Few Surprises

Short note on Thinking Machines Lab's 975B Inkling open-weight model, its benchmark profile, sparse MoE design, short convolutions, embed...

200,000 Subscribers

Short note celebrating Ahead of AI reaching 200,000 subscribers.

GPT 5.6 Has 72 Possible Configurations. What's A Good Default?

Short note on how GPT 5.6 model and effort choices map onto training-time and inference-time scaling, producing 72 configurations.

Build a Reasoning Model From Scratch Is Out

Short note announcing the release of Build a Reasoning Model From Scratch and linking the publisher and Amazon pages.

Using Local Coding Agents

Short note linking a new article on setting up local coding agents with open-weight models.