For the first time, #DMT is being studied in an fMRI and EEG to elucidate why and how this drug produces vivid dreamlike states of consciousness and simulated near-death experiences. Download the latest episode of the Drug Science podcast, right here -> linktr.ee/DrugScience

I really appreciate all the kind words people have expressed on Twitter towards my family on #survivingCOVID. I’ve written an article about my experience in the Independent newsletter and you can find it here: google.co.uk/amp/s/inews.co…

On the 11th October I gave my first presentation at an International Neuroscience conference in Milan. I spoke about my research investigating the role that machine learning may play in both deriving and using ageing bio-markers for prognosticating ALS disease.

AI systems fail to generalize to novel environments, that differ from their training environment. Crucially, they are vulnerable to spurious correlations. To facilitate progress, we introduce Spawrious 🐾, a benchmark suite for robustness/OOD/domain generalization algorithms.

No autonomous surgical robots without synthetic data! Our latest paper introduces SARAMIS, the first large-scale dataset capturing human anatomy as 3D rendering assets for robotic assisted and minimally invasive surgery, to be presented at NeurIPS Conference shorturl.at/qTUY1 🧵

new paper! 🫡 LAT is a promising safety training method that augments fine tuning techniques such as DPO in collaboration with abhayesian, aidan ewart, Phillip Guo, Cindy Wu, Vivek Hebbar and supported by ML Alignment & Theory Scholars

After iterating hundreds of prompts to trigger blackmail in Claude, I was shocked to see these prompts elicit blackmail in every other frontier model too. We identified two distinct factors that are each sufficient to cause agentic misalignment: 1. The developers and the agent