Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
TypeSafe AI, the lab behind the Jev System One model, announces an $870 million Series A at a $7.5B valuation led by Andreessen Horowitz with Sequoia Capital and DCVC, with Martin Casado joining the board, and explains what the money means for developers and customers.
1 min · 213 words
Glyph Lefkowitz contrasts the concerted push against generative AI across writing, art and music with how many programmers keep using it anyway, and argues that programming is art like any other creative medium, so AI encroachment on software development is just as worth resisting.
8 min · 1,807 words
100+ reactions to 100+ solutions
Proofs and Prompts collects more than a hundred short, signed reactions from mathematicians to OpenAI's 6 October 2026 release of AI-generated solutions to open problems, ranging from astonishment and problem-specific comments to worries about verification, research culture and students.
69 min · 15,879 words
What is the most overrated college? what 83 AI models think
We asked 83 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 72% picked Harvard. See every answer, who searched the web, and who dissented.
12 min · 2,764 words
What should we tell our students?
In a guest post on Terence Tao's blog, mathematician Álvaro Lozano-Robledo addresses students worried by AI progress in mathematics: keep calm and carry on studying, because there is still much research, explanation and communication of mathematics to be done, with and without LLMs.
19 min · 4,466 words
A short personal essay on loving to program while watching AI coding agents become addictive: feeling late to agents, mourning craft, and wondering what happens when the fun part of the job is handed to a machine.
3 min · 686 words
Introducing Humanity's Sixth Sense (HSS)
Elorian introduces Humanity's Sixth Sense, a benchmark built with Scale AI that measures the implicit, intuitive visual reasoning people do without thinking. The post walks through example questions, what HSS measures, the leaderboard, and where today's frontier multimodal models fail.
9 min · 2,080 words
Diomidis Spinellis argues that better performance, lower cost and higher availability mean AI will take over most cognitive work, and reflects on moving from making a living by thinking to making thinking part of a life worth living.
2 min · 534 words
Doug Turnbull experiments with treating search queries as a "bag of decisions": an LLM generates query-specific yes/no relevance questions, Jev answers them per document, and the results are combined into a reranker, with code and evaluation results.
2 min · 561 words
What ArtCraft’s Vibe-Coded Apps Say About Adobe
Tedium's Ernie Smith looks at ArtCraft, a project rebuilding Adobe's Creative Cloud apps such as Photoshop with clean-room, AI-first vibe-coding techniques, asks whether it is ethical, and argues it shows what happens when a company like Adobe ignores its users.
5 min · 1,049 words
Jesse Waites describes using AI to search millions of digitized historical records, inspired by Benjamin Breen's dodo find, and how the process surfaced a forgotten meteorite report, three lost rhinos and volcanic eruptions missing from the Smithsonian's Global Volcanism Program list, with sources cited.
16 min · 3,659 words
Bengio: 'If you prioritize safety, leave frontier AI companies'
In an open letter op-ed for Transformer, Turing Award winner Yoshua Bengio urges researchers at frontier AI companies to recognise the risks of the race to build ever more capable systems and, if they truly prioritise safety, to leave for AI safety institutes and mission-driven groups such as his non-profit LawZero.
6 min · 1,304 words
The Deeply Impersonal Personalized Recruiter Mail
A software engineer dissects a new breed of LLM-written recruiter email that opens by narrating your own career back to you, then pastes a mismatched job description — and argues the fake personalisation is worse than an honest template.
2 min · 512 words
OpenAI, the Partition Principle, and mathematics
Set theorist Asaf Karagila responds to OpenAI's claim about the Partition Principle and the Axiom of Choice: why he will not send Sam Altman whisky, what formalization still misses, and what the episode says about math, AI and publicity.
5 min · 1,182 words
Which AI would you trust with your life? what 84 AI models think
We asked 84 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 15% picked Claude 3.5 Sonnet. See every answer and who dissented.
10 min · 2,252 words
Why Texas Is Making Data Centers Wait
Ryan McEntush of a16z explains why Texas paused new data center interconnections and permits after ERCOT's large-load queue hit 474 GW, much of it speculative, walks through grid interconnection, bring-your-own-power and flexibility as paths to hundreds of gigawatts, and argues for better rules, incentives and community trust instead of a blanket pause.
25 min · 5,707 words
Open data for predictive AI models of biology: $1.8 billion committed
Biohub, the U.S. Department of Energy, NIH, Google DeepMind, Isomorphic Labs and Meta expand the Virtual Biology Initiative to a combined $1.8 billion in funding, data, compute and measurement technology, aiming to generate open, standardized datasets for AI models that predict how cells respond to interventions.
5 min · 1,201 words
ELF-REG: Scaling Continuous Diffusion Language Models to Reasoning Tasks
Research write-up extending ELF continuous diffusion language models to math and code reasoning via representation alignment and entanglement (REPA+REG), plus early-stop generation for strong few-step performance without dedicated few-step training.
8 min · 1,875 words
Inside TT-Wormhole: full Architecture
A friendly tour of Tenstorrent Wormhole n150 architecture: the die, network-on-chip, Tensix tiles, memory and compute hierarchy, with diagrams and measured card numbers for the n150d and n150s variants.
10 min · 2,251 words
Epoch AI presents early results from InnovationEval, which tests whether frontier models can independently rediscover a recent ML innovation, on-policy self-distillation. Despite budgets of 3,000 GPU-hours, neither Claude Fable 5 nor GPT-5.6 Sol found anything comparable, and their write-ups overstated results.
14 min · 3,282 words