The Official Site Of NAIT (Native AI Teams)

Category: Blog

  • Context windows, KV-cache, and why long prompts get expensive

    Modern large language models can accept remarkably long context windows. It’s tempting to assume that if a model supports 128K, 200K, or even 1M tokens, you should simply keep appending more informati

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  • Topics Everyone Is Talking About No375

    Why Im All In on USB-C • Cursor 0-Day: When Full Disclosure Is the Only Defense • Smartphones Can Strengthen Public Accountability • The Manufacturing Limits of Self-Replicating Space Probes • Juggler: An Open-Source GUI AI Coding Agent…

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  • Topics Everyone Is Talking About No374

    How my images are dithered • Temper Language • How to stop Claude from saying load-bearing • Are we offloading too much of our thinking to AI? • SP downgrades Oracle to BBB only one notch above junk level…

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  • Topics Everyone Is Talking About No373

    From coder to curator • Codex starts encrypting sub-agent prompts • Alternatives to run CUDA on non-Nvidia hardware • Indian scientists produce most detailed 3D atlas of the human brainstem • Claude is just Mr. Meeseeks…

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  • Topics Everyone Is Talking About No372

    The Enduring Magic of Morse Code That Still Connects the World • Rebuilding Linux 0.11 in Idiomatic Rust Booting Inside QEMU • Berkshires 397B Cash Fortress Amid Market Concerns • DOM-docx: Turning Semantic HTML into Editable Native Word Documents • Reconstructing an Ancient Roman Board Game with AI and Archaeology…

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  • Data leakage: the silent killer of ML projects

    Machine learning projects rarely fail because the algorithm is not advanced enough. More often, they fail because the model learned from information it would never have at prediction time.

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  • Topics Everyone Is Talking About No371

    crates.io: development update • Zig Creator Calls Out the AI Replacement Narrative • The Graph That Should Be Front-Page News • Sam Neill has died • Why write code in 2026…

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  • Topics Everyone Is Talking About No370

    Claude Code Sends 33K Tokens Before Reading Your Prompt; OpenCode Sends 7K • Ask HN: Should AI-Generated Articles Be Labeled? • I Love LLMs, but Not the Hype • Irish Data Centers Now Consume 23 of the Nations Electricity • Chromium 148 Makes Math.tanh an OS Fingerprinting Signal…

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  • Chunking strategies that actually matter for retrieval quality

    If you’ve experimented with embedding models, vector databases, rerankers, or prompts, but your Retrieval-Augmented Generation (RAG) system still misses obvious answers, the bottleneck may be much sim

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  • Topics Everyone Is Talking About No369

    New Federal Rule Ties College Aid to Graduate Earnings • Internet Pioneer Vint Cerf Retires After Two Decades at Google • Mindwalk Visualizes AI Coding Sessions in 3D • Researchers Discover That Some Simple Fluids Can Fracture • Goeteia Brings Pure Scheme to Modern WebAssembly…

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