Getting started with Deep Learning via Category Theory: Paper: Blog post: Video: Curated list of CT+ML papers: Introduction to CT: 🧵 of Tweet threads 👇

RT @TinyTimFerriss: @paulg I asked DeepSeek **Looking Back from 2034: Quaint Notions About AI in the 2020s** Ten years ago, our unders…

RT @kmett: @joomy This is a very hazardous false equivalence, and it gets trotted out every six months or so. There's an important differe…

RT @statusfailed: There is now a video of my POPL/LAFI talk where I explain this diagram depicting data-parallel AoT autodiff for tensor pr…

RT @debasishg: Categorical interpretation of Value Iteration - a step towards a category theory based interpretation of Reinforcement Learn…

RT @DavidCorfield8: We hear plenty about methods from group representation theory being used to train neural nets to operate under conditio…

@Zophikel Thank you for the support. Absolutely, feel free to DM

@debasishg @ch402 Thanks, I'm glad to hear!

@f_aezs @debasishg @ch402 Glad to hear!

RT @debasishg: To the left is an excerpt from a 2015 blog post of @ch402 .. it was so ahead of its time! To the right is an excerpt from a…

RT @statusfailed: Having a completely formal/symbolic description of the model means you can do things like: * Statically allocating memor…

RT @tangled_zans: I've recently learned about Algebraic Positional Encoding from @bgavran3 and isnt this the coolest breakthrough in mathem…

@coecke Thanks Bob. Would be happy to chat - just sent you a DM

@charles0neill @vtabbott_ These look like intriguing results @charles0neill. I'm looking forward to digesting this carefully!

@compulsi0n Thanks for reaching out. Feel free to DM

@HyperboIeva ❤️

@townsendchris Feel free to DM

@RxflowR Unfortunately I cannot talk it for contractual reasons. Free free to DM me

@tribbloid @ezyang Thank you. I can't talk about the details publicly, but feel free to DM me

@Anarchia45 Thank you for the support Neil!