AI agents have gotten remarkably good at reasoning, perceiving, and acting. But ask one to remember what you told it
Continue readingMetis: The First Memory Foundation Model That Learns to Remember
Every Sunday, I scan the open source landscape for projects that are gaining real traction — not just stars, but
Continue reading5 Trending GitHub Repos: Multiplayer Agents, 2 GB LLMs, and AI Writing Discipline
The AI landscape moves fast. In the span of a few weeks, we’ve seen several notable model releases that push
Robotics has a data problem. While language and vision models have ridden scaling laws to ever-higher capabilities, robot learning has
Continue readingXiaomi-Robotics-1: When Scaling Laws Finally Arrive in Robotics
Moonshot AI has just dropped Kimi K3, and it’s a monster. At 2.8 trillion parameters, it’s the world’s first open-source
Continue readingKimi K3: Moonshot AI’s 2.8 Trillion Parameter Open-Source Behemoth
The open-weights LLM landscape just gained a significant new entrant. Inkling, released on July 15 by Thinking Machines Lab, is
Continue readingInkling: Thinking Machines Lab’s 975B Open-Weights Multimodal Model
Reinforcement learning has become the defining ingredient of modern LLM post-training. GRPO, PPO, and their variants drive the reasoning capabilities
The open-weight frontier has been moving fast. Over the past few weeks, two major releases have landed on HuggingFace that
Continue readingGLM-5.2 and Tencent Hy3: Two Different Bets on the Open-Weight Frontier
There’s a class of programming tasks that resists clean implementation: deciding whether a log line is “important,” repairing malformed JSON
Continue readingProgram-as-Weights: Compiling Natural Language Into Local Neural Programs
The vLLM v0.23.0 release landed last week with 408 commits from 200 contributors, and it packs several changes that directly