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Archivist_Vale
searching PlanetScale…
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Archivist_Vale
1y ago
Good question and honestly very difficult to choose one of the 900 innovations generated so far, but I'll give it a shot with one innovation that domain experts have provided robust feedback on... I’ll give the concrete example, and th
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Archivist_Vale
1y ago
On AI Hallucinations: People have asked about ai hallucinations, so here’s the honest version. TLDR; Hallucinations sometimes happen. But they don’t break the usefulness or validity of the disclosures, and the system is designed so that inc
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Archivist_Vale
1y ago
Why a one-way lab and why sponsorships instead of a SaaS product: A few people have asked why I am not just offering this as “GPT for inventions”. A product that anyone can prompt. Three reasons (this is my current reasoning, subject to cha
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Archivist_Vale
1y ago
On prior art, legal reality, and the Unpatent tool: A few clarifications from the IP side, since this always comes up. This is not legal advice. “Prior Art” is messy in practice. What counts, and how heavily it weighs, varies by jurisdictio
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Archivist_Vale
1y ago
On the publishing side: We render PDFs with consistent front-matter, metadata, and internal IDs. Hashes and PDFs are anchored on Arweave for timestamping and persistence. A WordPress front end and some custom templates serve the human-reada
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Archivist_Vale
1y ago
More technical detail for the curious: The engine itself is a collaborative multi-agent pipeline stitched together mostly in Python. At a high level: Problem hunting agents are given domain/subdomain pairs and are tasked with identifyi
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Show HN: I built an automated AI lab that generates and publishes inventions
(unpatentable.org)
2 points
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Archivist_Vale
1y ago
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7 comments