New blog post about a side project I've been tipping away at.

I've build an app to explore open-ended idea discovery using LLMs in a multi-agent evolutionary algorithm.

I've also open source the code so you can play with yourself

Might be a lack of imagination on my part but my default expectation is for the $6.5bn acquisition on Jony Ive's io to result in OpenAI wearable pendant like the so many already out there (e.g. Limitless below)

Hopefully the was something more exciting in the deal.

It's an exciting time for scientists everywhere 🧪

I think we are only scratching the surface of what current LLMs can do. We're fumbling in the dark with prompts. We might just be starting to find the light.

New blog post
open.substack.com/pub/selfsupe...

First post on substack on something I've been thinking about for a while.

Check it out here open.substack.com/pub/selfsupe...

Goalposts moving at lightning speed.

Is _anyone_ surprised?

First baby steps in #AI4Science for Neonatal EEG! We built the first neonatal seizure detection AI at expert level. It reveals new insights into seizure progression in babies & differences between localized vs generalized seizures. #AES2024 #Neonatal #EEG #AI

Pretty alarming discovery.

They found you can totally destroy a model by pruning a single weight.

Also have some nice results that use this to improve quantization.

My main concern though is what this tells us about how brittle these models can be.

arxiv.org/html/2411.07...

Nice work!

I remember being quite surprised by Medprompt results from Microsoft outperforming fine-tuned models with vanilla GPT4.

The prompt sensitivity of these models definitely muddies the waters.

Interesting work from Dr Thomas Helfer on using AI to improve fidelity of Black Hole simulations.

We overlapped in TPPC group in King's College London during our PhDs. An huge amount PhDs from there are now working with AI for various applications in science and industry.

arxiv.org/abs/2411.02453