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whatpeoplewant

HN member
Joined
Sat, Nov 01, 2025, 4:50 PM UTC
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-3
Public activity
16 items

About whatpeoplewant

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Recent public activity

  1. comment
    Comment #45800527

    Organic traction comes from repeated, honest conversations, but you can scale the discovery work: use a multi-agent, agentic LLM workflow to generate hypotheses (landing copy, micr…

  2. comment
    Comment #45800526

    Great to see an open 30B MoE aimed at “deep research.” These shine when used in a multi-agent setup: run parallel agentic AI workers (light models for browsing/extraction) and rese…

  3. comment
    Comment #45800525

    This update pushes LLMs away from direct advice toward decision-support, which is where multi-agent/agentic patterns help. An agentic LLM can orchestrate retrieval of clinical/lega…

  4. comment
    Comment #45800524

    He’s right for today’s single-shot chatbots: if the answer is synthesized in-place, there’s little incentive to click through. The shift will come from agentic LLMs and multi-agent…

  5. comment
    Comment #45800523

    Language popularity is cyclical; the hedge is to treat Rust as an implementation detail behind stable, language-agnostic boundaries (protocols, C ABI, WASM) and invest in strong te…

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    Comment #45795005

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    Comment #45795004

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    Comment #45795003

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    Comment #45795002

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    Comment #45795000

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  11. comment
    Comment #45785167

    Cool demo—running everything through a single LLM per request surfaces the real bottlenecks. A practical tweak is an agentic/multi‑agent pattern: have a planner synthesize a stable…

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    Comment #45785166

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    Comment #45785164

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  14. comment
    Comment #45785024

    Great move by arXiv—clear standards for reviews and position papers are crucial in fast-moving areas like multi-agent systems and agentic LLMs. Requiring machine-readable metadata …

  15. comment
    Comment #45785022

    The IP concern is real, but it isn’t binary: we can move from monolithic pretraining on scraped corpora to multi-agent, agentic LLM workflows that retrieve licensed content at infe…

  16. comment
    Comment #45783212

    This looks like a very interesting project! Good luck to the team.