Thinking Machines Inkling: 975B Open-Weight Model for Fine-Tuning
Thinking Machines released Inkling — a 975B MoE open-weight model. Here is the architecture, benchmark numbers, and how to fine-tune with Tinker.
Build Your First MCP Server in Python (2026 Guide)
Learn to build an MCP server in Python with FastMCP in under 30 minutes. Covers ...
Cline CLI: Run Your AI Coding Agent in GitHub Actions
Cline CLI brings the 160K-star open-source AI coding agent to GitHub Actions. Version 3.0.45 cuts ...
Swiftlet: Run an 80B LLM in 4.3 GB of RAM on Mac
Swiftlet runs an 80B Qwen model in 4.3 GB of RAM by streaming expert weights ...
LLMs Reward Expertise, Not Beginners: What the Data Shows
HN front page today: LLMs reward domain expertise over raw effort. Senior engineers capture 5x ...
OpenAI Astra Solves 10 Decade-Old Math Problems for $2,000
OpenAI revealed Astra by solving 10 decade-old math problems for $2,000 with Lean 4 proofs. What the multi-agent architecture means for developers.
WebMCP in Chrome 149: Make Your Website Agent-Ready Now
Chrome 149’s WebMCP origin trial is live, but zero sites have shipped it. Here’s how ...
Microsoft Project Perception: Agentic Security Is Live
Microsoft Project Perception entered public preview today. Three AI agents find, triage, and patch vulnerabilities ...
GPT-5.6 Luna Drops 80%: Rethink Your Model Routing Now
OpenAI cut GPT-5.6 Luna to $0.20/M input tokens on July 30. Here is what changed, ...
Retyping LLM Code Beats Cognitive Debt — Here Is Why
A 2026 study found unrestricted AI coding groups had a 77% maintenance failure rate. The ...