this post was submitted on 21 Jul 2025
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This is acutally one of the most promising applications - AI can screen millions of potential drug compounds and predict protein interactions in hours instead of months, which is why we're seeing breakthroughs in neurodegenerative disease research.
That's probably Machine Learning, the root category of tools and the origin of LLMs, not Large Language Models themselves we call 'AI'. These have many applications they are efficient at gradually explored from the 80s I believe, while the AI boom involving Google, Meta, OpenAI and others is about generalistic chatbots that are bad in just about everything they used in. I'm putting that distinction not because I'm an ass, but because I don't want the hype wave to get more credibility on the back of real scientifical and technological progress.
It depends, if they're use a transformer or diffusion based archetecture I think it would be fair to include it in the same "AI wave" thats been breaking since the release of chat gpt publicly.