furidamu

Frontier LLMs continue to get more and more powerful, exactly as expected.

I'm very excited to finally be able to share more details about how AlphaProof works!

This week I had the pleasure of chatting with Matt Turck from the MAD Podcast, and it was a fun one!

Python 3.14 is released and I’m extremely exited that free-threading is now officially supported!

The current discourse around AI progress and a supposed “bubble” reminds me a lot of the early weeks of the Covid-19 pandemic.

Good advice should rule out large parts of the possibility space - if you don't find yourself disagreeing with the advice or changing what you are doing, then the advice is just generic fluff.

A timely topic, as I'm writing this on the plane back from my latest trip: When you go on holiday, don’t check your work email, disable all notifications, just disconnect completely.

After almost 18 years with my old domain (furidamu.org, acquired August 2007!)

While migrating my blog to my new domain (julian.ac!)

This morning I got nerd-sniped by Why your website should be under 14kB in size.

Estimates for the dynamic range (the maximum perceivable contrast between light and dark) of human eyes vary depending on the source, from 1:100 to 1:1000 or more for static contrast.

I mentioned in my previous post a lock contention issue when accessing the same list from different threads, leading to worse performance the more threads were used.

As of version 3.13, Python is finally getting support for real multi-threading that is not hobbled by the GIL: experimental support for free threading!

After 10 years of writing C++ while at Google, I’ve really enjoyed writing Rust over the last 6 months at Anthropic.

I'm excited to announce that I'm joining Anthropic, starting this week!

Recently I decided to build a NAS to store my RAW photos as well as video content, and to use as a backup target for my MacBook.

Recently I was asked which habits and practices were the secret to my productivity.

I was asked some questions about the development of AlphaGo and figured my answers might be of wider interest, so here we go: How low-level does the code need to be in order to get the maximum performance both in training and, possibly, live game?

Once again I've migrated this blog to a new backend - originally I had been using Octopress, then later I migrated to Pelican after I got fed up with the complicated setup and dependencies.

In the conventional Turing test (aka imitation game), an investigator tries to distinguish between a human and a computer solely by interacting with them.