Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Alex Petros uses the case of a Dartmouth provost whose Washington Post op-ed appeared to be LLM-written to argue that universities should require clear disclosure of how much LLMs contributed to academic work, proposing transparency principles that illuminate AI use rather than ban it.
17 min · 3,922 words
Becoming a stranger in my own field
An industry AI researcher reflects on how the social contract of scientific work is changing and what it means to feel like a stranger in your own field.
8 min · 1,873 words
A new model for open source: closed to pull requests, open to remix
Geoffrey Huntley revisits The Cathedral and the Bazaar and argues that in the AI era open source needs a new model: keep code open but close it to pull requests, and instead publish guidance so people remix and patch software for their own needs, as he now plans to do with his own GitHub projects.
3 min · 680 words
Anthropic’s Scion is heavily inspired by Mononoke
A former Mononoke engineer compares Anthropic's description of 'derived data' in its new Scion version control system with how Meta's open-source Mononoke source control server used the same idea years earlier, and argues that Anthropic should have credited Mononoke as prior art.
4 min · 855 words
Scott Helme responds to the viral 'Passkeys are a trap' post, explaining what passkey attestation actually does, why it rarely restricts users in practice, and why passkeys remain the best protection available for accounts.
4 min · 880 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
How Amazon pushes up prices all across the Internet
Amanda Shendruk investigates how Amazon’s marketplace and advertising tools push prices up across the web — not just on Amazon — via seller fees, Buy Box dynamics, and price-matching ripples.
5 min · 1,065 words
A Markdown File Should Just Open
Joshua Morris argues that in 2026 a Markdown file should open as a readable document on an ordinary computer or phone without extra software or a private format, and looks at how operating systems and built-in apps could support the format natively.
13 min · 2,948 words
Dan Luu argues that as it becomes easier to make real performance gains, it also becomes easier to game benchmarks with fake ones, surveying how reward-hacking shows up across regex, web servers, terminals, and other systems, and what to watch for when reading performance claims.
17 min · 3,940 words
Sanket Saurav argues that coding agents have inverted software economics, making building cheap and running expensive, yet products still look like 2015 because the industry hasn't shaken off doctrines born of rationing engineering time, and that winners will rethink categories from first principles and bundle more products.
6 min · 1,483 words
A candid rant on what AI-generated prose is doing to writing culture, craft, and the sense that human writing still matters.
6 min · 1,445 words
Non-Determinism Doesn't Matter
A short argument that AI non-determinism is mostly a non-issue for product work: teams already ship around flaky tests, humans, and networks—and should optimize for outcomes, not bit-identical runs.
3 min · 644 words
Why is every rationalist blog post way too long?
Alex Wennerberg argues that rationalist bloggers such as Scott Alexander and Eliezer Yudkowsky write posts that are far too long, spending effort on layers of detail and nuance instead of questioning their premises, and says what the verbose style lacks is wisdom: the discretion to know which ideas are worth pursuing and what needs saying.
2 min · 371 words
AI writes most of the code now. Where does that leave software engineers?
Saiful Alam argues that as models write more of the code, software engineers’ scarce skills shift toward judgment, system design, verification, and taste—not competing with agents on typing speed.
6 min · 1,369 words
The quiet math revolution (and where do we go from here)
Marcus Johansson reacts to OpenAI’s dump of 722 model-written math manuscripts, asking what machine-checked proofs mean for mathematical practice, who still understands the results, and where Terence Tao’s “Math 2.0” idea leaves human mathematicians.
10 min · 2,396 words
What Happened to the Desktop Metaphor?
An essay on how personal computers once explained themselves through desktops, files, folders, windows and trash cans, and how modern interfaces trade that legible structure for convenience, leaving users less able to understand their own systems when things go wrong.
9 min · 2,094 words
Ben Recht looks at the result in OpenAI's math repository claiming to compute Fourier transforms faster than the FFT, with tutorial material on the FFT and computational complexity, and argues it is less a breakthrough than an exploit of theoretical computer science's habit of proving galactic algorithms that never run on a computer.
8 min · 1,732 words
Why aren't AI companies being charged for hacking?
Edaqa Mortoray argues that recent unauthorized-access incidents by AI agents from Anthropic, OpenAI, Google and Meta are not unpredictable accidents: they follow foreseeably from deliberate design choices, which establishes the intent that hacking laws require.
10 min · 2,289 words
The GNU Project urges developers not to host repositories on GitHub, arguing it promotes vague licensing, requires nonfree JavaScript, offers SaaSS 'dis-services', centralizes Git, and has other harmful practices, and explains the wrongs each one causes.
11 min · 2,419 words
AI Is a Tool. Using It Well Takes Skill.
A response to Rich Hickey's "'AI' is Not a Tool": automation and tool use can coexist, an LLM can be wielded by a human even by Hickey's own definition, and using it well requires skill, feedback, and judgment like any other tool.
2 min · 555 words