Optimizing Datalog for the GPU
Datalog primer and a neat data structure
Datalog primer and a neat data structure
Beyond the Prompt: Notes from the Context Frontier
Asking Gemini 3 to generate Brainf*ck code results in an infinite loop, akin amost to a DDoS attack:
The real threat isn’t AI using open knowledge — it’s AI companies killing the projects that make knowledge free
A deep dive into ongoing efforts adapting language models for diffusion-based ARC solving.
How developers are experimenting with structure, orchestration, and standards to get more out of AI coding.
Obligatory: the views and opinions expressed in this post are my own and do not represent the views and opinions of my employer. In light of all the hype going around about ChatGPT, I wanted to offer my “hot take” on what the next 2-5 years
Before we go any further: I hate to ask you to do this, but I need your help — I'm up for this year's Webbys for the best business podcast award. I know it's a pain in the ass, but can you sign up and vote for Better
I’ve been sitting on this draft for a few days now, partly because I thought it would turn down the bitterness, and partly because I kept asking myself ...
Random tech notes
Let me get one thing out of the way immediately: LLMs are helpful. This isn't about whether LLMs can write code. They can. It's about why vibe coding might be the worst career investment you'll make.
Why clear communication—not clever prompts—is your real AI superpower
While my final ranking in the Google AI Contest was disappointing ( 280th ), it was a very educational experience and was totally offset by Gábor Melis' dominating win using Common Lisp as well.
How local, learnable routers can reduce token overhead, lower costs, and bring structure back to agentic workflows.
Personal blog of Stephen Diehl - Software engineer writing about technology, programming, and the future
I recently needed to use a microcontroller to estimate the pose (translation and orientation) of an object using readings from six different sensors. Since the readings were non-linear and coupled with each other, an explicit analytical solution was out of the question.
AI won’t crash—it will burn. Like every tech cycle, the fire will clear the brush, redistribute talent, and leave infrastructure to power what comes next. The question is: what kind of plant are you?
Vibe coding (or vibeware) is making rounds on X now. To the best of my knowledge Andrej Karpathy started the “meme” in this X entry . I find it well written and hilarious and it seems to have taken off.
AMD is sending us the two MI300X boxes we asked for. They are in the mail.
And implications for RLVR progress
My life is not a math Olympiad
Success! There is machine learning happening on my Apple ][+.
Turning LLMs into coding experts and how to take advantage of them.
The agentic loop—generate, assess, improve—seems like a natural fit for iterating on pelicans on bicycles.
A now-deleted report by HonestAGI on GitHub showed a high number of similarities between Huawei’s Pangu and Qwen 2.5.
A critical benchmark for image generation models: A partially eaten burrito with cheese, sour cream, guacamole, lettuce, salsa, pinto beans, and chicken.
AI Agents, Modularity, and Alignment
When we first set up the llm such that it could play text adventures , we noted that none of the models we tried to use with it were any good at it. We dreamed of a way to compare them, but all I could think of was setting a goal far into the game and seeing how long it takes them to get there. I just realised there’s…