Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
If we do not stop to help each other, what do we become?
If we do not stop to help each other, what do we become? Yesterday, I received this email as a response to [You Can't Vibe Code Love](https://blog.codinghorror.com/you cant vibe code love/). It's such a remarkable and powerful statement that I asked permission to share it here, in its entirety, with personal information redacted: Hey Jeff, Hope you and your family are doing well.
3 min · 679 words
Several months ago, I decided that AI contributions were no longer welcome in a FOSS project I am building and maintaining - LibreWeddingPlanner. It’s not that it got a lot of contributions with AI — actually all contributions I’ve had are translations and feature requests — but I wanted to avoid future drama and have a position against AI. However, although I was not using AI for my FOSS contributions, I kept using it at work. In my workplace, as well as in many of my developer friends’,…
10 min · 2,190 words
He who does not code, neither shall he eat
You have never heard of me, and depending on who you are, god do I hope you will forget my name as soon as you finish reading this. Quite frankly, I am unimportant. I am not a maintainer of any major Open Source project. My largest Open Source contributions have been completely replaced by better code, and were not meaningful enough to make me qualified to speak on this issue.
10 min · 2,193 words
Crazy as it sounds to say this, since it’s all anybody’s been able to talk about for over a year, but the impact of AI on computing hasn’t yet sunk in.
6 min · 1,349 words
I Look, if you are still stuck on “AI cannot really think, it’s just a stochastic parrot”, please snap out of it and lock in, or you’ll keep repeating that line until you find yourself sitting in the corner chair, watching as ChatGPT™ has sex with your wife.
8 min · 1,856 words
LLM Policies: Progress At All Costs
Diego Escalante argues that GNOME and KDE LLM-policy debates are really about whether open-source communities will accept “progress at all costs,” and what values get traded away when AI tooling is waved through.
4 min · 1,003 words
On Ezra Klein’s Podcast With Jensen Huang
Zvi Mowshowitz annotates Ezra Klein’s interview with Jensen Huang: Huang downplays existential risk as “just software,” yet endorses safety standards that would shut down OpenAI and 10x safety spending.
33 min · 7,619 words
I’m Tired of Being on the Network
Mat Duggan on smartphone fatigue: how always-on networks reshaped attention, relationships, and work, and why stepping back from the phone has become a practical form of self-preservation.
11 min · 2,442 words
Burke Holland argues chat isn’t always the right interface for AI-assisted development, and walks through canvases as a more tangible UI for building with GitHub Copilot.
5 min · 1,250 words
A founder who built a desktop coding app around AI planning explains why plan mode collapsed as models got better at figuring out what to do while they work—and what replaces it.
9 min · 2,033 words
Kate Broughton connects OpenAI’s misalignment disclosures to how we form children and machines—what constitutions, staged evaluation, and “following” might mean for raising capable systems.
10 min · 2,240 words
Does Georgism Work? Five Years Later
Lars Doucet revisits five years of Georgism evidence since the ACX book-review contest—land-value tax trials, YIMBY politics, and what new data say about whether taxing land works in practice.
36 min · 8,361 words
We’re gonna need a lot more mathematicians
[This is a guest post by Amit Sahai. This blog post was initially written in a different file format and converted using AI. — T.]
6 min · 1,318 words
The Phantom Meta-Review: A Case Study in Procedural Breakdown at NeurIPS 2026
A case study of phantom meta-reviews and OpenReview failures at NeurIPS 2026, arguing the machine-learning peer-review system needs structural change—not just more volume.
4 min · 819 words
Ed Zitron's AI prediction track record
Dan Luu audits Ed Zitron’s AI commentary against outcomes: which predictions held, which missed, and how to read media AI takes more carefully.
46 min · 10,673 words
Human labour is largely invisible to AI
Lennard Berger argues that AI models look strong on evals yet lag in economic impact because much real work depends on invisible human labour—context, coordination, and judgment that benchmarks miss.
7 min · 1,588 words
Glyph Lefkowitz argues open source is a web of ongoing relationships—not a one-way gift from maintainers to users—and asks who the community is really for.
23 min · 5,200 words
Jared Norman responds to DHH’s Rails World 2026 keynote: Rails still under DHH’s control, how AI agent coding changes the framework’s role, and why Rails developers cannot ignore his vision.
9 min · 2,017 words
Agentics: what is developer process automation?
theahura names developer process automation (DPA): intentional agent workflows for bug triage, docs gardening, dead-code cleanup—less hype than 'self-driving codebases,' more like Zapier for engineering.
6 min · 1,268 words
Robert O'Callahan resigns from Google over AI acceleration: chip-design tools that make models cheaper and faster, why the pace of change is too high, and what he plans next with Pernosco and rr.
6 min · 1,398 words