Reverse-Engineering Claude Web's MicroVM: Uncovering Anthropic's Hidden Antspace
Full stack developer, open sourceror, serial entrepreneur.
Full stack developer, open sourceror, serial entrepreneur.
AI is now able to decompile games and software in a matter of days. That's scary... but kind of exciting.
Executives love AI while ICs stay skeptical. The divide comes down to non-determinism: who is evaluated on judgment versus deterministic execution.
Thriving in a world of agents
This isn’t a joke, and it’s becoming a big problem
What in the world is Explorative Modeling?
You may already be aware of John Baez’s “Crackpot Index” , which provides a simple tongue-in-cheek scoring system for assessing whether a research contribution to physics is likely “revolutionary.” The list contain such gems as “40 points for comparing yourself to Galileo, suggesting that a modern-day Inquisition is…
This was an unusually hard post to write, because it flies in the face of everything else going on.
...also don't tell lies. But I'm getting ahead of myself already. I keep running into people online who openly say that they use AI to do their writing for t
Thoughts on technology, life and everything else.
The backlash against data centers is difficult to understand if your salary depends on your not understanding it.
For those of you who don’t know, when I’m not writing novels, I spend my days as a software engineer, writing code. The software industry these days relies heavily on artificial intelligence. Because it has studied trillions of lines of publicly accessible source code, because code solves problems with testable right…
I asked Claude to look up the X-Plane 12 API and try to fly a Cessna from Hainan to somewhere nearby. It kept a pilot's log. Everything below is Claude's own notes from during the flight. I occasionally had to remind it to keep the pilot log running, and had to tell it when it crashed as xplane would quickly restart…
Let's suppose I wanted to answer a question: is the tool X useful for the task Y. If I were scientific about this, I would analyze the properties of tool X and develop a model, and the task Y and the requirements for it and develop a model, and I would us...
Yes, for a supported subset of SQL. To establish a baseline, I integrated the SQLLogicTest suite.
I’m tired of this phrase and this simple way of thinking about tools. This blog post is a wandering train of thought on the topic of what tools are and why it matters to be even slightly more mature in how we think about them.
I tested thirteen models and found that their drafting is approaching professional levels.
A closed-form autoencoder: PCA encoder + quadratic Ridge decoder. On FiQA it gives 4× compression of mxbai-embed-large-v1 at -0.88 p.p. NDCG@10, +1.34 p.p. over PCA. No SGD, no neural networks.
Models are getting better and better, while the agents that drive them languish.
To me, one of the most annoying parts of software engineering is writing code that doesn’t require thinking. It’s just a typing exercise, and that’s boring.
I’ve been refraining from saying ‘vibe networking’ or ‘vibkrotik’ or some other abomination, but it is true - I have been using LLMs to setup a few networks these last few months, and things have generally gone over swimmingly.
Good developers’ caution about agentic development comes from knowing that built isn’t the same as working in production.
Orchestrator-worker, blackboard, and pipeline patterns for coordinating multiple AI agents — with the failure modes that only show up once you go past a single-agent demo.
In this blog post, I will share the adventures I had creating my own LLM, from (almost) scratch, trained only on old texts. I made my own base-training and fine-tuning scripts, data processing pipelines and custom datasets. ("almost from scratch" means I did use existing programming languages and libraries, I didn't…
AI changes rewrite economics because codebases with clear, common patterns get more leverage than proprietary or inconsistent systems.
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Prompted by letters from three engineers, the author asks what remains for humans as AI takes over execution, naming judgment, taste, and derivation as irreplaceable, and warns against the erosion of subjecthood.
I bought an NVIDIA DGX Spark! It's actually quite a competent general purpose computer while being super tiny and power efficient. It basically just has an ARM CPU, a decent NVIDIA GPU (with the same number of CUDA cores as the RTX 5070), 128 GB of unified memory, and a 4 TB SSD.
Just a place to store my random thoughts and contributions to the world.
TL;DR: 62% as of September 2026. This is up from ~40% in February.