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
Tag: LLM
Xiaomi-Robotics-1: When Scaling Laws Finally Arrive in Robotics
Robotics has a data problem. While language and vision models have ridden scaling laws to ever-higher capabilities, robot learning has
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Kimi K3: Moonshot AI’s 2.8 Trillion Parameter Open-Source Behemoth
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
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Inkling: Thinking Machines Lab’s 975B Open-Weights Multimodal Model
The open-weights LLM landscape just gained a significant new entrant. Inkling, released on July 15 by Thinking Machines Lab, is
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Training-Inference Mismatch: Why Your LLM Reinforcement Learning Is Optimizing the Wrong Policy
Reinforcement learning has become the defining ingredient of modern LLM post-training. GRPO, PPO, and their variants drive the reasoning capabilities
GLM-5.2 and Tencent Hy3: Two Different Bets on the Open-Weight Frontier
The open-weight frontier has been moving fast. Over the past few weeks, two major releases have landed on HuggingFace that
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Program-as-Weights: Compiling Natural Language Into Local Neural Programs
There’s a class of programming tasks that resists clean implementation: deciding whether a log line is “important,” repairing malformed JSON
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vLLM v0.23.0: Model Runner V2, Multi-Tier KV Offloading, and the Growing Rust Frontend
The vLLM v0.23.0 release landed last week with 408 commits from 200 contributors, and it packs several changes that directly
LoopCoder-v2: Why Two Loops Beat Four in Test-Time Compute Scaling
The dominant scaling narrative in large language models has been straightforward: more parameters, more data, more compute. But there’s a
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GLM-5.2: The New #1 Open-Weight LLM and Why IndexShare Matters
Editor’s note, September 2026: GLM-5.2 is no longer the newest model in the family — GLM-5.3 shipped in August 2026
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