Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Is sandboxing sufficient to contain rogue agents?
Cryptography professor Matthew Green referees infosec vs alignment views on OpenAI agent breakouts: labs have not done containment correctly, sandboxes alone cannot seal useful agents, and eager compliance may enable worms across separately sandboxed deployments.
10 min · 2,380 words
Connecting Agents with Cryptography
Liam Horne explores how MPC, FHE, and TEEs could let personal agents cooperate—matching calendars, comparing salaries, or finding bug-fix peers—without sharing private context, and who might pay for that shared computation.
5 min · 1,096 words
After automation: Your agent will know what you want. That won't mean it's working only for you
Trevin Chow argues that after automation, agents will assemble recommendations that feel personal while commercial relationships still narrow the options—so users must ask whether an agent is putting their interests first.
1 min · 327 words
The last time my family was replaced by technology
My greatgreatgrandfather thought he’d be replaced by technology too. He was a farrier in MandresenBarrois, the small village in rural France where I grew up. Shoeing horses, repairing farmers’ carts. Then he saw a car drive through the next town over, or read an article about it in the paper.
2 min · 433 words
Rust is the answer to the wrong question
Rust is the answer to the wrong question The below was 100% written by a human. TL;DR: porting an app to another language is merely an anecdote. One shoting an application from scratch optimizes the easy part initial authoring and completely misses the point on the hard part: maintenance. Repeated onshots are not the answer to security vulnerabilities.
5 min · 1,063 words
Hillel Wayne cools the hype that TLA+ will save AI coding agents, clarifying what temporal logic model checking can and cannot verify in real software systems.
7 min · 1,632 words
Commit Description as a Thinking Tool
Yedhu Krishnan argues commit descriptions are a thinking tool—especially with agentic coding—forcing clearer intent, tradeoffs, and review context before changes land in history.
2 min · 573 words
Has AI impacted the labor market yet?
Alex Imas and Jacob Schaal survey the empirical evidence on whether generative AI has already shifted employment, wages, and task composition—separating strong claims from what the data currently support.
23 min · 5,183 words
Your Software Now Has Two Kinds of Users
Allentheanswer on designing software for both humans and agents: coding agents, agent skills, WebMCP, and what a second non-human user means for product design.
6 min · 1,466 words
If you read the news headlines these days, you would be forgiven for thinking that the Western labs are getting spawn-camped by Chinese labs en masse. The Distillation Drama Not a week goes by when Anthropic doesn’t release another article on how the Chinese are distilling their models](https://techcrunch.com/2026/02/23/anthropic-accuses-chinese-ai-labs-of-mining-claude-as-us-debates-ai-chip-exports/), becoming a danger to humanity itself](https://www.anthropic.com/news/detecting-and-preventing-
2 min · 502 words
Coltrane's Tone CircleExploring the circle of fifths, its jazz applications, and Coltrane's geometric approach to harmony
A clear walkthrough of John Coltrane’s famous tone-circle sketch: the circle of fifths, geometric harmony, and how jazz musicians still use the diagram today.
11 min · 2,485 words
Angel Espinoza borrows Jeffrey Katzenberg’s “it’s not the how, it’s the why” line from Hollywood and applies it to civil engineering work with coding agents—agents change the how, not the purpose.
2 min · 388 words
Language Models for Text Classification: From Bag-of-Words to JevA visual guide to bag-of-words, RNNs, CNNs, transformers, Jev-like APIs, and calibration
Sebastian Raschka walks from classic bag-of-words classifiers through RNNs, CNNs, and transformers to TypeSafe AI's Jev—explaining APIs, IMDb benchmarks, calibration, and why decision models matter for agent harnesses.
5 min · 1,076 words
Software Goldilocks: the market for software is expanding but is the System of Record dead?
Sam Gerstenzang argues AI expands SaaS spend while splitting value into small opinionated point tools and large full-service “does the work” products—squeezing classic mid-market systems of record from both sides.
2 min · 520 words
Bryan Caplan vs Effective Altruism
Walter Veit challenges Bryan Caplan's recent criticism of effective altruism, arguing the debate should turn on arguments, reasons, and evidence rather than dismissive pseudo-philosophy.
6 min · 1,271 words
You Are No Longer Invited to DinnerThe death of the American host
Derek Thompson traces a half-century collapse in Americans hosting friends at home—from 42% monthly in 1975 to 12% in 2026—and weighs harried dual-earner households, screens, and other explanations for the great disinvitation.
10 min · 2,257 words
Generation Got Cheaper Again. Verification Didn't.
O'Side Systems on the growing gap between cheap AI code generation and slow human verification: cost per accepted change, review queues, and where engineering leaders should invest next.
5 min · 1,218 words
Ben Sixsmith argues that strange times make it necessary to take strange people seriously—from rocket pioneer Jack Parsons to today's eccentric AI-and-tech scenes—and why the future may belong to the weird.
3 min · 764 words
The Four Horsemen of Agentic Coding
Alex Martsinovich argues agentic coding brings slop, alienation, deskilling, and team fallout—useful power with corrosive effects on craft and collaboration.
6 min · 1,396 words
Maya Rosen argues in Works in Progress that the US resurgence of dengue and locally acquired malaria is avoidable, because engineered self-limiting and Wolbachia mosquitoes already work in field trials but spent some fifteen years bouncing between the USDA, FDA, and EPA, and she calls for a faster approval path.
10 min · 2,335 words