Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Alberto Denia argues that agentic coding has made code malleable like clay rather than stone, letting developers model software roughly and refine it, and contrasts two ways of working with the new material: the hands-on artisan and the automated factory, and when each fits.
4 min · 1,015 words
CS 240 Spring 2026 AI Retrospective
Purdue CS 240 instructor Jeffrey Turkstra reflects on Spring 2026 AI-assisted cheating cases: what went wrong in enforcement, what students actually did, and how academic integrity policy should change.
17 min · 3,997 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
Which AI is the most annoying? what 84 AI models think
We asked 84 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 12% picked Grok Edginess. See every answer and who dissented.
11 min · 2,455 words
DraftKings Is Using AI to Supercharge the Harms of Online Behavioral Advertising
EFF argues DraftKings' use of betting data and ML to re-engage losing gamblers shows why all online behavioral advertising—not just third-party data sharing—should be banned.
3 min · 609 words
How to win a beer with high-dimensional statistics
Jamie Simon explains a viral high-dimensional statistics paper with a bar-bet framing: why naive intuition about data geometry fails, and how the right summary wins the round.
4 min · 827 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
Evolving programming languages in the AI era
José Valim’s reflections on how programming languages, ecosystems, and agentic tooling may evolve when humans are no longer writing most of the code.
9 min · 1,980 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
Artificial symbiotic intelligence: Agents, AGI and the orchestration of many minds
DeepMind Institute essay arguing AGI may emerge from societies of cooperating agents, tools, and humans—shifting the problem from building one mind to orchestrating many.
10 min · 2,268 words
AI labs need to start funding historical research
Res Obscura argues frontier labs should fund historical scholarship, using alchemical correspondence and early modern sources as a case for AI-assisted discovery.
14 min · 3,217 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
Behind Project Suncatcher, our moonshot to put AI in space
Google Research outlines Project Suncatcher: a moonshot exploring solar-powered ML infrastructure in space, and the engineering facts behind the idea.
4 min · 846 words
Agentic Hacks, Real Proofs: Inside Google's PageBreak Project
Google's Michał Bentkowski details PageBreak, an agentic AI web security scanner that pairs LLM findings with real proof-of-concept validation to cut AI-slop noise in vulnerability reports.
5 min · 1,157 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
SWE-sweep: Can Agents Autonomously Find and Fix Bugs?
Meta Superintelligence Labs and academic collaborators introduce SWE-sweep: agents must discover and repair latent bugs across 100 real repositories (~4.1k bugs) with no issue hints—early leaders resolve under 5%, highlighting bug finding as the hard part.
6 min · 1,411 words
Meet Compass: Wealthsimple’s AI Teammate
Wealthsimple’s engineering team introduces Compass, an AI teammate that lives in Slack—what it does today, how they built it, and how it is becoming a fast friend for the company.
4 min · 846 words
Hitting a billion tokens per minute on one GPU by combining a query planner and an inference engine
Charles Frye and Shreya on the Modal blog: combining a query planner with an inference engine to push AI-SQL queries past a billion tokens per minute on one GPU—why left-deep joins help KV cache, and how they beat naive vLLM-style serving.
18 min · 4,181 words
Running local LLMs on your Mac: what fits, what's free, and what's overkill
A practical guide to running language models on Apple Silicon: which sizes fit common Macs, free options that work well, and when bigger local models are overkill.
5 min · 1,125 words