How to keep enjoying programming in a world of LLMs
By discourse.haskell.org, read
How to keep enjoying programming in a world of LLMs - Uncategorized - Haskell Community
Things from around the web.
This is a list of things I found around the web and wanted to keep, sometimes accompanied by a few thoughts. You can also follow it via RSS.
I don't think too hard about the notes I leave here. Some of them will probably be wrong. Oops.
The Mathocalypse
By scottaaronson.blog, read
"I’ve been glad to see the CS theory community rising to the occasion. At the Simons Institute in Berkeley, here at UT Austin, and elsewhere, I’ve hearing stories of researchers rushing to pore over the manuscripts and make sense of them and explain them—because what else do we do? How else do we continue the craft to which we’ve devoted much of our lives?"
I Quit OpenAI Because Its Culture Is Broken
By David Robinson, read
I Quit OpenAI Because Its Culture Is Broken - The Atlantic
Reddit RSS feeds shut down on 13 November over AI scraping
By thenextweb.com, read
Reddit is killing RSS feeds on 13 November, blaming AI scraping Very sad news for all my RSSers :(
D3 - Defesa dos Direitos Digitais - D3 intenta as primeiras ações populares na Europa por "addictive design" contra Facebook, Instagram, TikTok e YouTube
By direitosdigitais.pt, read
👏 Crossposted with @openvibe
Civic Hygiene
By Terence Eden, read
This literally happened when Nazis took over Amsterdam. They had stored a database of where jews lived. If you are skillled in building tools and you build tools that can be used to do harm, you are also actively harming
This planet is...up to something
By Hank Green, read
For better and for worse, we are among the little things that make Earth an intelligent, beautiful, and unique system. We owe her everything. We are part of her, or perhaps we are her.
Don't Take the Black Pill - Andrew Kelley | SSW 2026
By Andrew Kelley, read
OpenAI and Hugging Face partner to address security incident during model evaluation
By openai.com, read
Tbh, this was the first time I felt scared by these models. I trust HF, but knowing that this happened during an exploitation-focused evaluation, with safeguards deliberately reduced so the model could find vulnerabilities, still makes me uneasy. These things are trained to achieve their goals using every resource available. Imagine a random word generator trained until exhaustion to produce a specific sequence: "[...idc] abcdef". The "idc" part is whatever sequence of words lets it hack a vulnerable system; "abcdef" is the goal. And it works at machine speed. If your software has a vulnerability, the chance that someone or something abuses it is super high. These random word generators are tireless and will exploit everything they can. I guess this is the pinnacle of the industrial revolution, then the computer revolution: we built computers, and then we built computers that destroy computers. Return to real life. Return to monke.
Well, that's all.