Viewing profile — whatpeoplewant
whatpeoplewant
HN member- Joined
- Sat, Nov 01, 2025, 4:50 PM UTC
- HN karma
- -3
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- 16 items
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About whatpeoplewant
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Recent public activity
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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…
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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…
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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…
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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…
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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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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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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 …
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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…
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Comment #45783212
This looks like a very interesting project! Good luck to the team.