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The life and death of open source companies

Veritasium: The SAT Question Everyone Got Wrong [video]

Veritasium: The SAT Question Everyone Got Wrong [video]

Nintendo Network shutdown – The beginning of the end

Website search hurts my feelings

Moderna's mRNA cancer vaccine works better than thought

A list of Hacker News's undocumented features and behaviors

Japan to crack down on Apple and Google app store monopolies

Challenging projects every programmer should try (2019)

Constellations are younger than continents

The Star – Arthur C. Clarke (1967) [pdf]

The era of American computer magazines has drawn to a close

Cray-1 vs Raspberry Pi

Stirling-PDF: local web application to perform various operations on PDFs

Stirling-PDF: local web application to perform various operations on PDFs

Ruby 3.3

Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?

There is a 5 month old thread [1] on this, but it might be already outdated.<p>What is the best approach for feeding custom set of documents to LLM and get non-halucinating and decent result in Dec 2023?<p>UPD: The question is generally about how to "teach" LLM answer questions using your set of documents (not necessarily train your own, so approaches like RAG counts)<p>[1] https://news.ycombinator.com/item?id=36832572

Breakdown of faults by car brand: Tesla has replaced Dacia at the bottom

San Francisco’s rent prices have never returned to pre-2020 levels

The Art of Electronics (2015)

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