Mihai

Six months (and a few days) ago, a day after leaving Google, I was entering the OpenAI office for my orientation as a new hire. It was very different than what I was expecting and it was just the beginning of 6 months of interesting times. I thought it is

This will be the last article about (pi) for this year, but I could not miss today, given that (pi approx 22/7) and in most countries of the world today's date is 22/7, the pi approximation day. In the spirit of approximations, and to continue the other a

A week or so after publishing the previous article I observed an unexpected traffic pattern on my blog. I thought it was some new AI crawler and didn't give it much thought. Until a few hours later when I actually looked from the logs and realized that th

In the US and countries with a similar date format, today is the (tau) day ((tau = 2 pi)). I still think that (tau r) and (frac{tau r2}{2}) are better formulas than (2pi r) and (pi r2), since they match the (mv) and (frac{mv2}{2}) ones (and many other rea

An AI coding agent injected blockchain dead-drop malware into my repo via indirect prompt injection. Full incident report: payload decode, IOCs, and remediation. - blockchain-c2-ai-agent-injection.md

At the start of the year I introduced my AI benchmark for 2026, or at least the first one I was planning to run. That post contained a mistake and this is why the 80 models tested not so well on the first problem. I was recently performing the analyses fo

It is the last hour of Pi Day (March 14th in the US is written as 3/141) and I can finally post the article about (pi) that I was planning since the article about the 3 possible regular 2D tilings and getting these tiles into my math AI benchmark for 2026

Recently, I started using LLMs to answer some of my questions. I've been using both Gemini and ChatGPT in parallel, asking the same question on both. In fact, I was asking the same question 4 times, as for each one of these two engines I was using both th

In the last article I introduced two different problems that I was curious how LLMs would answer. For that article, I ran a simple Kaggle experiment, but now it's time for a more comprehensive study. To summarize, the problems involve laying out numbers i