Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
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
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
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
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
The Most Dangerous IEC 104 Packet May Be Perfectly Valid
In OT networks, a fully valid IEC 60870-5-104 packet can still be dangerous. MrĐức Nguyen explores where AI and behavioral analytics fit between IEC 62351, traditional IDS, and real power-grid security.
9 min · 2,120 words
Dark Sourcery: How Hackers Manipulate AI to Scam You
Ariel Simon documents how attackers poison the public web so ChatGPT and Gemini steer users toward scam centers, and what that means for anyone who treats AI answers as a trusted guide.
8 min · 1,776 words
How I changed teaching after AI managed to do all my homework assignments
CMU-style software engineering instructor Christian Kästner redesigned assessments after AI agents could finish take-home work: oral exams, demos, and tradeoffs against evidence-based pedagogy.
16 min · 3,576 words
AWS’s Matt Wood argues AI agents change ops from “is it broken?” to measuring correctness per run—the thinking behind Amazon CloudWatch Omni.
5 min · 1,214 words
Harness Engineering Explained: The System Around an AI Coding Agent
Harness Engineering Explained: The System Around an AI Coding Agent The same coding agent gives one team clean merges and another a pile of reopened tickets. The difference is rarely the model. It's the six parts around it, checked one ticket at a time.
11 min · 2,490 words
An essay arguing that LLM tokens are heading toward electricity-like cheapness within a decade—covering GPUs, models, inference engines, MoE, local vs hosted AI—and what Jevons-paradox demand and investor returns look like when inference is abundant.
14 min · 3,198 words
What if AI goes well?The hopeful version, and what it'll take to get there.
Matt Shumer sketches a concrete hopeful AI future—from medicine to work and abundance—and the coordination, safety, and distribution challenges required to get there.
5 min · 1,114 words
China’s AI-safety trajectory is not necessarily a delayed version of America’s
Cheryl Wu argues that AI safety in China may follow a different path from the U.S.—shaped by different incidents, disclosure norms, and government responses—not merely a delayed copy of American debates.
6 min · 1,411 words
Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war
Simon Willison’s first-look notes on Anthropic’s Claude Opus 5.5 and OpenAI’s GPT-6 Sol and Luna launches the same day—pricing, early impressions, and what the renewed model price war means for builders.
5 min · 1,148 words