
Ahmed Medhat
316 posts

Ahmed Medhat
@amedhat_
Working on multi-agent collaboration. Previously, Graph Learning @Meta, NeuroAI @CSHL




A new paper published in Nature Astronomy says if LLM can easily replicate what counts as your scientific contribution, then the deeper problem is not the model, but the fact that the work was too routine, formulaic, or low-value to begin with. --- nature .com/articles/s41550-026-02837-2












BREAKING: Rubio has canceled the permanent residency of Ali Larijani's daughter - U.S. State Dept


Marc Andreessen: Software isn't precious anymore. In this new world, high quality software is infinitely available. "We've always lived in a world in which software is this precious thing that you have to think about very carefully." "It was really hard to generate good software, and there was only a small number of people who could do it." "Those days are just over." "If you need new software to do X, Y, or Z, you're just going to wave your hand and get it." "Things that used to be hard, or even seem like an insurmountable mountain to get through, all of a sudden, I think, become very easy." @pmarca with @latentspacepod




We are entering the second half of research. Here is my advice to every PhD student before starting a project: 1. Can Claude Code solve it in a day? 2. Will a Research Agent solve it soon? 3. Will scaling solve it anyway? If the answer to all three is No, then maybe you have found a real research problem. Because in the age of AI, many things that looked like research are being revealed as delayed engineering. That does not make research less important. It makes problem selection more important than ever. The scarce resource is no longer intelligence. It is taste. It is originality. It is the ability to ask questions that survive automation. The first half of research was about solving hard problems. The second half is about knowing which problems are still worth solving. #research #academic #AI #GenAI #generativeai #airesearch #taste





