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Tag: LLM

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vLLM v0.23.0: Model Runner V2, Multi-Tier KV Offloading, and the Growing Rust Frontend

Posted on June 22, 2026June 23, 2026

The vLLM v0.23.0 release landed last week with 408 commits from 200 contributors, and it packs several changes that directly

Continue readingvLLM v0.23.0: Model Runner V2, Multi-Tier KV Offloading, and the Growing Rust Frontend

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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

Continue readingLoopCoder-v2: Why Two Loops Beat Four in Test-Time Compute Scaling

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GLM-5.2: The New #1 Open-Weight LLM and Why IndexShare Matters

Posted on June 17, 2026June 18, 2026

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

Continue readingGLM-5.2: The New #1 Open-Weight LLM and Why IndexShare Matters

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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

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

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5 Trending GitHub Repos: Apple’s Container Runtime Hits 1.0, LLM Token Compression, and AI Skill Security

Posted on June 13, 2026

The GitHub trending page this week is dominated by AI agent tooling, but tucked between the skills and plugins are

Continue reading5 Trending GitHub Repos: Apple’s Container Runtime Hits 1.0, LLM Token Compression, and AI Skill Security

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Microsoft’s MAI Models at Build 2026: Seven New AI Models and What They Mean for Developers

Posted on June 3, 2026June 4, 2026

Microsoft’s Build 2026 conference delivered a move that had been anticipated for months but still landed with weight: the company

Continue readingMicrosoft’s MAI Models at Build 2026: Seven New AI Models and What They Mean for Developers

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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

Continue readingSkillOpt: Training AI Agent Skills Like Neural Networks

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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

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

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5 Trending GitHub Repos: AI Agent Infrastructure, Stealth Browsing, and On-Device TTS

Posted on May 23, 2026

Every week, GitHub’s trending chart reveals where developer energy is heading. This week, the signal is unmistakable: the ecosystem is

Continue reading5 Trending GitHub Repos: AI Agent Infrastructure, Stealth Browsing, and On-Device TTS

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Qwen3.7-Max: Built for the Agent Era, Not the Chat Era

Posted on May 20, 2026May 21, 2026

Qwen just dropped Qwen3.7-Max, and it’s not another incremental chatbot upgrade. This model is purpose-built for something different: being an

Continue readingQwen3.7-Max: Built for the Agent Era, Not the Chat Era

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