41554 blogs · [ { "id": "01a0875d-7420-7155-91a4-396fc0380be0", "title": "Demonstrating the Lethal Trifecta of AI security", "url": "https://cbowdon.github.io/posts/prompt-injection/", "published_at": "2026-08-07T23:00:00+00:00" }, { "id": "01a0875d-7420-7155-91a4-396fc0b9f9c0", "title": "Exploring Gymflation with AI", "url": "https://cbowdon.github.io/posts/gymflation/", "published_at": "2026-07-04T23:00:00+00:00" }, { "id": "01a0875d-7420-7155-91a4-396fc124092f", "title": "Gaussian Processes Again", "url": "https://cbowdon.github.io/posts/gaussian-processes-again/", "published_at": "2025-11-29T00:00:00+00:00" }, { "id": "01a0875d-7420-7155-91a4-396fc175def7", "title": "The quagmire of LoRA training on MPS", "url": "https://cbowdon.github.io/posts/lora-quagmire/", "published_at": "2025-11-11T00:00:00+00:00" }, { "id": "01a0875d-7420-7155-91a4-396fc211a398", "title": "Prussian Horse Kicks II: Mixed Effects Models", "url": "https://cbowdon.github.io/posts/horsekicks-mixed/", "published_at": "2025-11-01T00:00:00+00:00" }, { "id": "01a0875d-7420-7155-91a4-396fc30687b3", "title": "How many parameters does GPT-5 have?", "url": "https://cbowdon.github.io/posts/gpt-params/", "published_at": "2025-08-26T23:00:00+00:00" }, { "id": "01a0875d-7420-7155-91a4-396fc3e64ece", "title": "Introduction to Generalised Linear Models with Prussian Horse Kicks", "url": "https://cbowdon.github.io/posts/horsekicks/", "published_at": "2025-08-02T23:00:00+00:00" }, { "id": "01a0875d-7421-7045-8382-6dbe5d925ca1", "title": "Ultra-processed food: an AI polling simulation", "url": "https://cbowdon.github.io/posts/food/", "published_at": "2025-06-22T23:00:00+00:00" }, { "id": "01a0875d-7421-7045-8382-6dbe5dcd3f9d", "title": "How fast Carlos Sainz Jr learns", "url": "https://cbowdon.github.io/posts/sainz/", "published_at": "2025-03-14T00:00:00+00:00" }, { "id": "01a0875d-7421-7045-8382-6dbe5e742e3c", "title": "T. rex size distributions", "url": "https://cbowdon.github.io/posts/t.rex/", "published_at": "2025-02-15T00:00:00+00:00" }, { "id": "01a0875d-7421-7045-8382-6dbe5ee0c619", "title": "Gaussian Processes in R", "url": "https://cbowdon.github.io/posts/gaussian-processes/", "published_at": "2025-01-25T00:00:00+00:00" }, { "id": "01a0875d-7421-7045-8382-6dbe5f27e1b1", "title": "Can we predict who wins the Traitors with an R simulation?", "url": "https://cbowdon.github.io/posts/traitors/", "published_at": "2025-01-19T00:00:00+00:00" }, { "id": "01a0875d-7421-7045-8382-6dbe6003f975", "title": "Latent F1 team and driver performance: fun with Bayesian models", "url": "https://cbowdon.github.io/posts/f1-stan/f1.html", "published_at": "2024-12-27T00:00:00+00:00" }, { "id": "01a0875d-7421-7045-8382-6dbe60d0ecc9", "title": "Using Stan from R", "url": "https://cbowdon.github.io/posts/using-stan-from-r/", "published_at": "2024-12-26T00:00:00+00:00" }, { "id": "01a0875d-7421-7045-8382-6dbe61b2732e", "title": "Importance Sampling", "url": "https://cbowdon.github.io/posts/importance-sampling/", "published_at": "2024-12-23T00:00:00+00:00" }, { "id": "01a0875d-7421-7045-8382-6dbe61d6ef2f", "title": "Working with (around) proxies", "url": "https://cbowdon.github.io/posts/proxy/", "published_at": "2015-01-01T00:00:00+00:00" } ] posts Claim your blog

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2026

Demonstrating the Lethal Trifecta of AI security original ↗

7 Aug 2026

Exploring Gymflation with AI original ↗

4 Jul 2026

2025

Gaussian Processes Again original ↗

29 Nov 2025

The quagmire of LoRA training on MPS original ↗

11 Nov 2025

Prussian Horse Kicks II: Mixed Effects Models original ↗

1 Nov 2025

How many parameters does GPT-5 have?original ↗

26 Aug 2025

Introduction to Generalised Linear Models with Prussian Horse Kicks original ↗

2 Aug 2025

Ultra-processed food: an AI polling simulation original ↗

22 Jun 2025

How fast Carlos Sainz Jr learns original ↗

14 Mar 2025

T. rex size distributions original ↗

15 Feb 2025

Gaussian Processes in R original ↗

25 Jan 2025

Can we predict who wins the Traitors with an R simulation?original ↗

19 Jan 2025

2024

Latent F1 team and driver performance: fun with Bayesian models original ↗

27 Dec 2024

Using Stan from R original ↗

26 Dec 2024

Importance Sampling original ↗

23 Dec 2024

2015

Working with (around) proxies original ↗

1 Jan 2015