Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Alex Ewerlöf dissects Jev's 30-day hype cycle: what the general-purpose classifier actually does, how it was marketed, how it compares with traditional LLMs and schema-validation loops, and what the episode says about the state of AI innovation.
13 min · 3,024 words
Academics have a duty to defend open knowledge systems like Wikipedia
Helen Choi of the University of Southern California argues that generative AI products are diverting readers from Wikipedia and misappropriating volunteers' work, threatening the community that sustains it. She contends academics, as researchers and teachers, have an ethical duty to defend open knowledge communities, and that universities should recognise and resource contributions to Wikipedia.
5 min · 1,129 words
Apple broke an essential presentation feature of iPads
Teddy Svoronos, who teaches by writing on handouts from an iPad AirPlayed to a projector while using the same iPad for notes, polls and slide control, explains how iPadOS 27 broke this: tapping any other window now mirrors the whole iPad screen. He describes the impact in GoodNotes, Keynote and PowerPoint and proposes a fix.
2 min · 568 words
Will it be a golden age or a dark age for mathematics (and science)?
In a guest post on Terence Tao's blog, mathematician Francesco Maggi weighs whether LLM-based research systems will bring a golden or dark age for mathematics and science, and calls for standards for LLM-generated scholarship, study of effects on education and training, and publicly governed LLM infrastructure, while urging mathematicians to keep mathematics a living part of human culture.
15 min · 3,378 words
Why I'm no longer updating this repository
Paul Battley explains why he is archiving all his Ruby gems: Ruby was once designed for programmer joy and for humans, but with Rails controlled by a figure he opposes and Ruby itself now developed and repositioned around LLM agents, he no longer wants to contribute to a commons being strip-mined to feed AI.
2 min · 436 words
If you don't run your own LLM proxy, how do you even know what's going on?
Jared Siegel argues that anyone using LLMs at home or at work should route traffic through their own proxy, so they can see prompts, responses, token spend and data paths instead of trusting a provider's black box.
2 min · 496 words
Personal software factories are a waste of time
Peter Piekarczyk argues that software engineers should stop building personal AI 'software factories' for side projects and instead spend their time experimenting with AI on real problems, the way non-developers are already doing in surprising ways.
3 min · 698 words
Does Ruby on Rails still make sense?
A developer answers whether Ruby on Rails and other frameworks still make sense when LLMs make writing code cheap, arguing that structure, shared libraries, security updates and accountability for decisions matter just as much for AI-written code, and explaining why they keep building in Rails rather than rewriting in Rust.
7 min · 1,509 words
Should Police Wipe a Criminal's Cellphone Before Returning It?–U.S. v. Stathas
Eric Goldman analyses U.S. v. Stathas, where a court considered whether data on a convicted defendant's seized cellphone, used to commit the offense, should be wiped before the phone is returned, and what that means for forfeiture of digital data.
6 min · 1,363 words
How the Fed Is Quietly Inflating the AI Bubble While Hiking Your Electric Bill
Matt Stoller argues that Federal Reserve rate hikes raise electricity bills, property taxes, mortgage and auto costs and the price of working capital while favouring cash-rich AI giants, and that it is time to drop illusions about the central bank as the only answer to inflation.
8 min · 1,887 words
Dark Enlightenment: The Authoritarian Trajectory Being Taken by Tech Giants
Sydney Criminal Lawyers argues that Silicon Valley elites are normalizing Dark Enlightenment ideas—technocratic rule, privately run city-states, and hostility to democracy—with little pushback from authorities.
5 min · 1,160 words
Israeli ad-tech company was a delivery system for "mercenary spyware"And they used Google, Facebook and every other major ad platform to do it.
Cory Doctorow unpacks Citizen Lab's "Exposing AdFection" report on an Israeli ad-tech firm whose targeted ads, served through Google, Facebook and other major platforms, delivered mercenary spyware, and argues everyone should block programmatic ads and that surveillance advertising should be banned.
5 min · 1,140 words
It's still OK to enjoy programming
Chris Kiehl pushes back on the doom about AI and programming: work economics may have changed, but programming for fun on weekends, from a buggy Breakout clone to Agda-style type tricks in Java and recursion schemes, needs no economic justification, and the pressure not to enjoy it fades once you disconnect.
2 min · 472 words
How the Elizabeth Holmes Doc 'You Can See Everything' Is Deceiving You
Polina Pompliano of The Profile argues the new Elizabeth Holmes documentary You Can See Everything is less about whether Holmes lied than a masterclass in storytelling that makes viewers participate in the very psychological manipulation it depicts.
4 min · 873 words
Everything Is a Leaky Abstraction (in machine learning)
Elijah Potter, building on Andrej Karpathy's case for understanding backprop by hand, argues that unlike sealed abstractions such as TCP/IP, TLS or PostgreSQL, every part of a machine learning system leaks into the cost function, so practitioners should understand the whole model and training regimen before they start.
2 min · 402 words
Mistral AI co-founder and CEO Arthur Mensch argues it would be a fundamental mistake for Europe to leave frontier AI models to the US and China. Pointing to the €260B+ Europe pays yearly to American cloud and software providers, he says whoever controls a model sets the terms, that open models only partly help, and that frontier AI is now a matter of security and science.
4 min · 864 words
A critical essay arguing the Linux kernel is going all-in on AI: dropping Assisted-by tags for LLM-generated patches, what that means for tracing defects and copyright, and the attitude that AI never fails, only the humans using it.
6 min · 1,461 words
Mac and iOS developer Jeff Johnson explains why he still avoids passkeys and sticks with randomly generated passwords. Even with the new credential exchange protocol, he argues passkeys tied to iCloud Keychain fail his requirements of logging in from an unfamiliar device and keeping independent backups, and that big platform vendors oversimplify security for everyone.
6 min · 1,273 words
It Ain't AGI Until H100s Go for $30 an Hour
October 15, 2026 Kyle Corbitt with Claude Opus Greg Brockman claimed that GPT-6 Astra marks the start of the “AGI era.” We may be in the AGI era, but if AGI means an agent that can “outperform humans at most economically valuable work” it isn’t here yet. You’ll know it is when the price of AI compute jumps 10x from where it is now.
5 min · 1,095 words
More on Anthropic's Scion ripping off Mononoke
In a follow-up post, Rain (sunshowers) reports receiving private confirmation that Anthropic's Scion source-control system intentionally copied Meta's Mononoke, explains that the resemblance extends to the whole data model including Bonsai-style changesets, answers reader objections, and notes Anthropic later added attribution after responding on Hacker News.
5 min · 1,168 words