What people are saying about AI — tech news articles (TechCrunch and others), threads on forums where developers gather (Hacker News, Reddit), and podcasts about AI.
Unlike company announcements these are written by others, so praise and criticism are mixed in. On forum posts, points is the score built up from upvotes and comments is how many replies it drew — a rough sense of how much people reacted.
What turned up in the last three days — collected by machine, published by hand.
What gets picked here ends up in What I took apart →
Collected 2026-10-15 23:01 UTC · 44 kept from 418
Nothing on this page matches what you picked.
Papers, repos, models, blogs, Reddit and podcasts — once a day, by machine. Everything collected gets taken apart once — the README, the abstract, the model card — and what that turns up is kept for good, whether or not it becomes a card. Titles and links go to the original; nothing is reproduced here.
The grey line on each card is what the teardown found, not what the source advertises: the licence, the last commit, the model it was built on, whether the paper states its own limits. Open “What we saw” to check what was read to get it. Where it says listing only, the original could not be read — some sites refuse us, and we do not pretend otherwise.
A line in quotation marks is a sentence lifted from the source itself — their number, not a measurement of ours. We copy it and leave it unchecked; that is the point of quoting it.
Topics are assigned by matching words in the original title, quote and tags against a fixed list — no model reads the card. Some cards match nothing and carry no topic at all; pick a topic and those drop out. Source and topic narrow together.
Each card keeps the sentence we actually read at the moment we read it, plus a fingerprint of the response we received. That sentence — not the whole page — is what we can still stand behind if the original later changes or disappears.