This is a very interesting blog from Sander Dieleman. Some of their blog posts that I find really illuminating are: this post on how to use diffusion to model sequence data and this post on generative models in latent space.
This is a detailed explanation on how Mamba models work and their difference with respect to transformers models from Maarten Grootendorst.
A nice youtube channel with in depth explanations of different novel techniques and architectures used in modern deep learning.
My favourite blogger writing about AI and Biology is Abhishaike. His blog, Owl Posting, is not only a nice way to keep up with what is happening in the field but is also full of useful resources with more in-depth explanations.
A detailed primer on how AI is used for antibody engineering from Owl Posting.
PDB-101, the training/outreach online portal of RCSB PDB.
Molstar, a web-based open source toolkit for visualizing molecular data.
BioIcons, a library of high quality science illustrations under permissive license from Simon Duerr.
Our World in Data, my go-to website if I need some unbiased and data-centric source of information on a topic.