Qwen3.8-Max: 2.4T Parameters, Open Weights, and a 12-Point Jump in Agentic Computer Use
Alibaba’s Qwen team just shipped Qwen3.8-Max, and it arrives at a strange moment in the AI race. We’re past the
Tag: Benchmarks
Beyond Math and Code: How SpyRL Turns Party Games Into Verifiable Training Signals for LLMs
Reinforcement Learning with Verifiable Rewards (RLVR) has become the engine behind modern reasoning models. The recipe is straightforward: let a
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
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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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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Why Verification Is Harder Than Generation for AI Coding Agents
There’s a classical intuition in computer science that verifying a solution is easier than finding one. For NP-complete problems, this
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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
The open-source LLM landscape just got a new heavyweight contender. Z.ai (Zhipu AI) released GLM-5.2, a 753B-parameter mixture-of-experts model that
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