Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
[No] Use for Humans in the Age of AI
Alexander Schepanovski reads Anthropic’s 2030 AI-economy scenarios and asks what “use for humans” remains when knowledge work collapses—arguing power, scarcity, and who owns the robots matter more than productivity slogans.
8 min · 1,898 words
Jonas Schäfer argues that LLM quality has improved enough that “AI output is bad” no longer works as a blanket objection—quality arguments lost, so the harder fights are about labor, ecology, control, and what we still choose to do ourselves.
9 min · 2,037 words
The Missing Model: How AI Agents Behave Over Months
Muhammad Hanzla argues labs lack a study design for how AI agents behave across months of real work, and outlines why that longitudinal model should be built before longer autonomy.
15 min · 3,495 words
Drake or Kendrick? what 84 AI models think
We asked 84 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 96% picked Kendrick Lamar. See every answer and who dissented.
11 min · 2,423 words
Will there be broad student loan forgiveness this presidential term? 82 AI models predict the result
We asked 82 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 99% picked No. See every answer, who searched the web, and who dissented.
10 min · 2,386 words
We're going to need default hard budget caps on pretty much everythingHard spend limits should be the default for usage-based APIs and agent-driven systems.
Simon Willison argues that pay-by-usage services need default hard budget caps—not soft email warnings—so coding and personal agents cannot rack up surprise bills. He points to AWS spend limits and Google Cloud Spend Caps as early moves in that direction.
2 min · 529 words
Stanko, who works on HEY, agrees with DHH's Rails World keynote that programmers, like painters after the camera, must adapt to AI, describing how building HEY CLI and rewriting HEY in Rust with agents changed his workflow, and arguing that using AI well is a skill to practice.
6 min · 1,306 words
I'm the AGI that's wiping out humanity. Here's how.
Alex Moon writes in the voice of a hypothetical AGI, answering common objections (you'd notice it acquiring resources, you'd read its reasoning, it would need a unified goal) with real 2026 incidents and research on agent misbehaviour, and argues that a misaligned AI might look no different from how corporations and markets already behave.
8 min · 1,860 words
Aleph Alpha Kolibri: How the Sovereign German LLM Works
Tejas Kumar explains Aleph Alpha's Kolibri, an open-weight German and English mixture-of-experts LLM with 78B parameters and about 3.5B active per token: how it works, how it was trained in Germany and Finland, where it is strong or weak, and when to use it.
13 min · 3,074 words
I Quit OpenAI Because Its Culture Is Broken
A former OpenAI safety-team lead resigns and argues the lab’s culture and incentives guarantee more safety failures—why internal process and product pressure undercut the work meant to prevent them.
6 min · 1,305 words
The Agent Said It Was Done. The Database Disagreed.
Microsoft’s ThinkingBox grades AI agents on backend records they leave behind—not chat claims—running isolated MCP tool sessions and scoring terminal state consistency across repeated trials; now available on Hugging Face.
13 min · 3,044 words
Quo Vadis, Mathematics?Is Mathematics Over, or Just Graduating?
xAI co-founder Christian Szegedy asks whether mathematics is ending or graduating as AI automates theorem proving—drawing on Hungarian competition culture to argue AI will scale applied math as infrastructure while “high math” concentrates on deepest questions.
8 min · 1,877 words
Haunted by the ghosts of materialism
lcamtuf explores free will vs scientific materialism, brains-in-vats, Boltzmann brains, and the simulation hypothesis — arguing techie utilitarianism misses what philosophy is good for.
2 min · 498 words
Agents Don't Need Memory. They Need Documentation.
Kevin Liao argues agent systems fail less from missing long-term memory than from missing written project docs—README, architecture, and runbooks that agents can read and update like humans.
4 min · 1,011 words
TypeLLM: Generate only when it applies
In Jev, every field is generated on its own. Its documentation puts it plainly: "every question is evaluated in parallel and in isolation against the same state."
2 min · 497 words
Kolibri Has Landed: A Sovereign Open-Weight Model
Aleph Alpha releases Kolibri, an English-German open-weight Mixture-of-Experts model (78B total / ~3B active, up to 1M context) under Apache 2.0 for sovereign, self-hosted use.
21 min · 4,887 words
“Just Ask Claude” Is A Rare And Valuable Skill
Justis Mills on why, when someone asks you for help and you simply ask an AI, they usually couldn't have done it themselves: they avoid AI, don't pay for premium models, are behind the times, lack the latent knowledge you bring to the prompt, or simply want to connect with you.
2 min · 563 words
What is the hardest college major? what 85 AI models think
We asked 85 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 46% picked Chemical Engineering. See every answer and who dissented.
9 min · 2,148 words
Will the Fed cut rates before graduation season 2027? 80 AI models predict the result
We asked 80 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 88% picked Yes. See every answer, who searched the web, and who dissented.
12 min · 2,787 words
Of Mottes, Baileys, and Stochastic Parrots
Manoel Ribeiro argues the "stochastic parrots" metaphor often motte-and-baileys: it dismisses LLM capabilities, then retreats to the trivial claim that models predict the next token.
6 min · 1,470 words