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
Alibaba’s Qwen team just shipped Qwen3.8-Max, and it arrives at a strange moment in the AI race. We’re past the
Reinforcement Learning with Verifiable Rewards (RLVR) has become the engine behind modern reasoning models. The recipe is straightforward: let a
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
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