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Almost Always Unsigned
New Sweden: the US's long-lost 'secret' colony
Ask HN: How you manage local long lived research projects and LLM's?
TLDR: Do you have a pattern or structure for doing long-lived research or non-coding projects using LLMs? I was kind of inspired by this hacker news article where someone collected data to solve their fatigue problem: https://news.ycombinator.com/item?id=48605117 A similar but smaller I did was to collect nut-free restaurants to eat in Chicago. So I had articles, reviews, emails, phone calls, all sorts of stuff. I found it very easy to just use Copilot as my interface and I just data into it ove
Allstate Insurance quits Broadcom, alleges vengeful license audit on the way out
uBlock Origin Chrome extension now blocks known ClickFix sites
New York can restrict sports gambling on prediction markets, US judge rules
Cloudflare Drop
Flock Cameras Wrongly Tracked Me for Days over 'Stolen' Plates
OpenMandriva: Statement regarding attempted distribution sabotage
Electronic Plastic: Museum of '80s and '90s handheld and tabletop games
Moving to FreeBSD from Linux
Grok 4.5
Show HN: Foreman, a self-hosted LLM gateway for cost aware model routing
Ask HN: Another "Hacker News" with less AI and more human-focused hacking news?
I am done with articles stating "I used this LLM to do that", or "Look, this agent did that in 2 minutes!". I want content more user-centric, less openai / anthropic, and more "human-in-the-loop" articles. Any other website to recommend? I think lobste.rs was a good hacker news aggregator, but I don't know if it is still relevant today... UPDATE: Some recommendations, provided by the answers: - https://hackaday.com/ - https://hcker.news/?ai=exclude - https://lobste.rs/ Related discussions - http
Dangling Pointer
Show HN: Microsoft releases Flint, a visualization language for AI agents
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current