A new model for coding work

  • Google launches Gemini 4 Hydrogen for everyday coding — Developers get another hosted model to test for coding and multi-step work, with a separate automatic model-switching option.
    • Google prices Hydrogen at $1.50 per million input tokens and $7.50 per million output tokens across its one-million-token context window. It says the model is available through AI Studio and the Gemini API, among other products.
    • The company reports 57% on Terminal-Bench 4.1, a fixed set of terminal tasks for comparing models, versus 18.2% for its older Gemini 3.8 Flash. These are Google’s reported results.
    • Antigravity’s Orchestrator switches between Hydrogen and the larger Carbon during a session. Google says Hydrogen is rolling out to paid Pro and Ultra users there, while Orchestrator is initially for Ultra subscribers.
    • Caveat: Google’s two launch pages disagree on the Terminal-Bench version used for the Orchestrator comparison, so its quoted speed and quota savings need clarification. (HN 370 points · 244 comments · Google launch and Antigravity announcement)

Running models on old hardware

  • A developer runs local models on a TV box and old iPad — The project documents how to trade flash storage, memory and answer quality when a device has very little RAM.
    • On a Xiaomi TV box with 1.9 GB of RAM, the author reports Qwen3.5-2B generating 7.7 tokens per second in chat. About 1 GB of the device’s memory is normally usable by the process.
    • The TV-box notes describe loading parts of larger models from flash as needed. The ready-made model files require the project’s patched llama.cpp rather than the stock program.
    • On a first-generation iPad Air, the author reports 23.7–25.8 tokens per second for Bonsai-1.7B in a fixed three-turn test. The iPad setup requires a jailbreak, and its larger models use short contexts to fit.
    • Caveat: These are the author’s device-specific measurements, and the iPad’s simple three-question check is too small to establish general answer quality.
    • Related background: this morning’s local-model compression toolkit tackles a different part of the same memory constraint. (HN 213 points · 75 comments · project documentation)

Who pays for data-center power

  • Researchers find households shoulder data-center grid costs — The costs of AI infrastructure can reach people who live far from a data center.
    • Cornell’s report describes a November 9 Nature Energy study using electricity-price records, transmission plans and utility filings across four major US grids.
    • For 2025, Cornell reports $8.25 billion in infrastructure costs linked to data-center growth, of which data centers paid $3.12 billion. It says the remaining $5.13 billion fell largely on residents.
    • The paper’s abstract says rural communities saw energy-burden increases 76% larger than urban communities. It also reports a median 47% of regulated tariff costs allocated to residential users, a separate measure from Cornell’s infrastructure total.
    • Caveat: The full paper is subscription-only, so the methods behind these estimates could not be checked in full here; they cover data centers generally, not only AI workloads. (HN 94 points · 85 comments · Cornell report and paper abstract)

Nvidia changes leadership

  • Nvidia names Colette Kress interim chief after Huang resigns — A major supplier of AI chips is beginning a leadership search while its existing finance chief takes over.
    • Nvidia’s board announcement says Jensen Huang resigned as president, CEO and board member effective immediately. Kress remains chief financial officer while serving as interim CEO.
    • The board named Harvey C. Jones its first chair and says it will consider both internal and external candidates for a permanent CEO.
    • The Verge reports the resignation followed reports of two extramarital relationships, including one involving an alleged Chinese spy. That allegation is not a finding of guilt.
    • Caveat: The board says it expects the product roadmap and customer commitments to continue, but its permanent leadership decision remains open. (Techmeme · The Verge · Nvidia board announcement)
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