LLMs can't do protein folding. A specifically-trained Machine Learning model called AlphaFold did. Here's the paper.

Developing, training and fine tuning that model was a research effort led by two guys who got a Nobel for it. Alphafold can't do conversation or give you hummus recipes, it knows shit about the structure of human language but can identify patterns in the domain where it has been specifically and painstakingly trained.

It wasn't "hey chatGPT, show me how to fold a protein" is all I'm saying and the "superhuman reasoning capabilities" of current LLMs are still falling ridiculously short of much simpler problems.

You're 100% right. I just grasped at the first example I could think of where the crawlers could do free work. Yours is much better. Left is best.

Hey dipshits:

The number of mouth-breathers who think every fucking "AI" is a fucking LLM is too damn high.

AlphaFold is not a language model. It is specifically designed to predict the 3D structure of proteins, using a neural network architecture that reasons over a spatial graph of the protein's amino acids.

• Every artificial intelligence is not a deep neural network algorithm.
• Every deep neural network algorithm is not a generative adversarial network.
• Every generative adversarial network is not a language model.
• Every language model is not a large language model.

Fucking fart-sniffing twats.

$ ./end-rant.sh