Chris Bowdon

How best to convince colleagues that the Lethal Trifecta isn’t a boogie-man for risk-averse AI nerds, but a real thing that can actually happen?

You might be familiar with super hero inflation?

One nice aspect of blogging about the things you’ve just learned is that when, inevitably, you forget those things, reading back your old posts can bring you up to speed pretty quickly.

I’ve accumulated some knowledge and it’s time to give back to the community.

Last time we used a quirky dataset to get acquainted with Generalised Linear Models.

One of the many arguments I’ve been having with o3 recently was on how many parameters GPT models have.

Time to finally patch a hole in the leaky roof of my knowledge: what are Generalised Linear Models anyway?

There’s a little drip drip drip of scare stories about ultra-processed food (UPF) a phrase that I’d never heard until this year.

The MAJOR story of F1’s 2025 season is of course the match-up between Sainz and Albon (sorry, did something happen at Ferrari?).

I ought to be spending this weekend working on a risk intelligence thing for work, but I’ve stumbled across something that brings my inner child immense joy and such things cannot be ignored.

I stumbled upon Gaussian Processes when looking into how the MIPRO prompt optimisation algorithm works and felt compelled to learn more about it.

Three years in, I am still absolutely hooked on the Traitors (the TV series).

For a bit of fun, let’s try and model the performance of F1 drivers and constructors in the 2024 season using Bayesian models.

I’ve been trying to get the hang of Bayesian models with Stan.

The aim of this post is to teach myself basic Bayesian methods.

N.B.