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Xiaomi-Robotics-1: When Scaling Laws Finally Arrive in Robotics

Posted on July 20, 2026July 21, 2026

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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Inkling: Thinking Machines Lab’s 975B Open-Weights Multimodal Model

Posted on July 15, 2026July 16, 2026

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

Posted on July 12, 2026July 13, 2026

Reinforcement learning has become the defining ingredient of modern LLM post-training. GRPO, PPO, and their variants drive the reasoning capabilities

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Program-as-Weights: Compiling Natural Language Into Local Neural Programs

Posted on July 5, 2026

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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Why Verification Is Harder Than Generation for AI Coding Agents

Posted on June 28, 2026

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

Posted on June 21, 2026June 22, 2026

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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How MiniMax Sparse Attention Achieves 28x Compute Reduction at 1M Context Length

Posted on June 14, 2026

The attention mechanism is the backbone of every transformer model, but it carries a brutal cost: quadratic complexity with respect

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SkillOpt: Training AI Agent Skills Like Neural Networks

Posted on May 31, 2026June 1, 2026

AI agents have a skill problem. You give a language model a system prompt — or “skill” — and it

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Constraint Decay: Why Your AI Agent Forgets the Rules (and What to Do About It)

Posted on May 24, 2026May 25, 2026

AI coding agents are getting scary good at writing functional code. Give them a loose description and they’ll spin up

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Beyond Naive RAG: 4 Advanced Patterns That Actually Work in Production

Posted on May 11, 2026May 12, 2026

The first version of any RAG pipeline usually looks the same: embed a query, search a vector store, stuff the

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