The Open-Weight AI Surge: What GLM-5.2, Inkling, and Robotics Scaling Laws Mean for Developers
The AI landscape moves fast. In the span of a few weeks, we’ve seen several notable model releases that push
The AI landscape moves fast. In the span of a few weeks, we’ve seen several notable model releases that push
Something we’ve all been predicting finally happened. Hugging Face disclosed last week that they were hit by a security intrusion
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
There’s a classical intuition in computer science that verifying a solution is easier than finding one. For NP-complete problems, this
Continue readingWhy Verification Is Harder Than Generation for AI Coding Agents
June 24, 2026 turned out to be one of the most packed days in recent AI news. Three major announcements