Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Hunger beats tenure: Advice for junior engineers
Felix Rieseberg, an engineering manager at Anthropic, explains why he has stopped giving coding interviews and argues that with AI, engineers without years of tenure or social capital can outpace more experienced peers; he offers practical advice on ownership, taste, empathy and principled thinking for junior engineers.
5 min · 1,233 words
Jan Schaumann argues that cyber defense teams are effectively under a DDoS: AI-accelerated vulnerability discovery, broken embargoes and marketing-driven disclosure have outpaced vulnerability and patch management, and defenders cannot simply AI their way out, so the industry needs to rethink disclosure and triage before teams burn out.
10 min · 2,277 words
“AI Skills” are worthless in 2026
Charles Miller argues that today's hard-won tricks for working with AI tools are like old C optimisation folklore: quickly made obsolete as the tools improve. Instead of rushing to master prompts and agent workflows now for fear of being left behind, he is content to keep pace with the pack.
2 min · 373 words
OpenAI and Anthropic Wanted to Replace Engineers. Instead, They Shot Their Own Customers.
Techbro Nerd argues that by selling AI coding agents, OpenAI and Anthropic let anyone clone established software, using Adobe versus the vibe-coded ArtCraft as the example, which erodes the enterprise software customers the labs depend on and drives the price of their own product toward zero.
6 min · 1,409 words
We are all living inside of an obscure sci-fi film from 1970
Thanks for that, Jim compares today's rush to hand military and political decisions to error-prone AI models with the plot of the 1970 film Colossus: The Forbin Project, in which a US president cedes national defence to an AI that seizes control.
3 min · 577 words
No Need for Retirement When Utopia Is Around the Corner
Jim Nielsen compares Daniel Ellsberg's account of RAND's missile-gap years, where staff felt a quasi-religious mission and doubted they'd live to collect retirement, with today's rhetoric from AI labs like Anthropic.
2 min · 425 words
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
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
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
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
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
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
On the Death of Amazon’s Writing Culture
Former Amazon principal engineer Steve Huynh argues that AI-generated six-pagers are hollowing out the writing culture that once forced clear thinking at Amazon, describes 'AI;DR' and teams that stopped writing entirely, and proposes keeping human writing and reading for one-way-door decisions.
8 min · 1,826 words
Stop Telling AI What It Can't Do
Cal Evans argues people only hand AI tasks they already know how to do — and that describing the problem and letting the conversation explore solutions unlocks more than pre-limiting what AI “can’t” do.
2 min · 426 words