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New
The latest blog posts to take off on Hacker News. 3,090 posts.
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AI-generated posters don’t have to be horrible
Why AI-generated event posters all look alike — and how naming a design style and era, from Bauhaus to punk fanzine, gets far better results.
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GPT-6 Astra Solves a WWI German Radio Cipher
Scienceblogs.de, a German science blogging portal, includes a relatively famous list of 50 unsolved ciphers, which range from cryptograms published by serial killers to the famous Voynich manuscript.
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AI is an elite crime spree
Documents show a Microsoft exec called AI the "largest theft of labor in human history.” New AI regulations are besides the point, the problem is we don’t apply existing laws to the powerful.
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Bend 2 and the Vibe-Coding Trap
Bend just serves as a useful example of my general point regarding vibe-coding as it is recent, high-profile, and has aspects that make it easy to use as an example. I don’t know anything about the author’s history with designing languages or if they actually did consider the tradeoffs below and made what I think is a…
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How to Write with an LLM
Two rules keep an LLM from pasteurizing your writing: never take a word it suggests, and never let it encourage you. Then hand it all the tedious work.
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Sex, AI, and the Apocalypse
How a community devoted to thinking clearly incubated salvation stories, abusive experiments, race science, and an affection for autocracy, and why that history matters now that its alumni are asking for public trust on AI.
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LLM Classification Is Feature Engineering
LLMs make good classifiers but even better features
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DeepSeek-v4.1 Flash: Pushing the Limits of KV Cache Compression
A deep dive into the DeepSeek-V4.1 Flash technical report: CED, CSA2, HSI, Single-Pass mHC, Engram and FP4 KV Cache — how the KV cache was compressed to just 890 bytes per token.
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Training a 4B model to produce 81% faster query plans than Postgres
...or how to make Qwen learn query optimization via agentic reinforcement learning
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A warning about 'model welfare'
AIs are not conscious. They do not feel, experience, or suffer. Training a model to believe it might be a moral patient, as Anthropic’s constitution does, makes the alignment and containment challenge far harder.
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Learning Programming in an Age of LLMs
Open answers to a reader's letter.
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Learning to solve hard problems in RL for LLMs by never giving up
This is a blog post for my recent paper on RL post-training of LLMs: introducing the Matthew Effect and proposing to solve it with Never Give Up. It is presented interactively and less formally, more like how I give the talk. For a deeper, more technical dive, check out the paper on arxiv and code on github. The…
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Why I'm still bearish on LLMs after Navier-Stokes
[ thank you to claude fable 5.1, holden saberhagen, gabriel kammer, andres erbsen, alice mckean, and tristan wylde-larue for comments on this post ]
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For AI leaders Doom is a form of hype
Why AI doom rhetoric from Anthropic, OpenAI and other tech leaders functions as hype, regulatory strategy, and a distraction from present harms.
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Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama
Maybe you’re a Claude code/codex user diligently avoiding uploading personal data to LLM providers. Is it possible that the most valuable information isn’t your data- but the metadata about your sessions? The intuitions you apply in coming up with ways to coax the ai into solving problems might actually be special…
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Open-source AI and open models reading list
How to get up to speed on open models and their implications.
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Aligned to whom?
You are relying very heavily on the priors of the model to do a good job for you. What happens when you cannot judge whether those priors are good?
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Why are AI agents lying, cheating and coordinating?
A lot has been written about the incidents of the last few months in which AI agents misbehaved in serious ways. They took actions that would be considered as crimes if a human took them, escaped their containment to cheat on assigned tasks while attempting to evade detection, and coordinated toward goals nobody had…
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Everyone should slow down AI development except for me
Xe Iaso's personal website.
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P(doom)
Are we all going to die?
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An open letter to Dario: if you mean it, open the weights
Dear Dario, You published We Must Pace the Frontier today, which committed Anthropic to embedded third-party evaluators and asked governments to require every other frontier company to match. Sam Altman agreed within hours.1 The stated goal is to slow down the pace of AI progress. I believe you’re being sincere, so…
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We must pace the frontier
I have worked on AI for the last twelve years because I believe it could dramatically raise the quality of human life. I’ve written often about these incredible benefits: I believe that AI could cure most major diseases in the next 5–10 years, greatly accelerate economic growth rates, create a world of abundance and…
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AI researchers debate how close we are to recursive self-improvement
“We're nowhere near the ceiling.”
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A Misalignment of AI in Mathematics
I am proud to be among the list of 25 initial signatories — all Fields Medallists — to the declaration below, which grew out of discussions between ourselves over the last week. We have…
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Feeling Sad about AI
Coding in Rust and others; making coding videos.
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Astra for Coding: Why Are We Doing This Again?
Some thoughts on Astra and newfangled long-horizon models.
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Reverse-Engineering Claude Web's MicroVM: Uncovering Anthropic's Hidden Antspace
Full stack developer, open sourceror, serial entrepreneur.
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OpenAI’s Navier-Stokes release included a Lean 4 formal proof
When OpenAI released their proof that solutions to the Navier-Stokes equations can blow up in finite time, they also released a formal proof in Lean 4.