I did not say all deep learning algorithms are LLMs, I said all LLMs are deep learning algorithms. It’s a nested hierarchy, that relationship only runs one way.
Yes. Evo was trained on text strings of genomic data. That’s what I was trying to say was the misunderstanding. LLMs do not require language as you and I would recognize it. If you think that calling them “Large Language Models,” is misleading, I kinda agree, but then we can start arguing semantics about why scientists name anything the way they do. Dark matter isn’t actually dark, and probably isn’t matter. Dark energy isn’t dark. There was no explosion during the big bang.
If you’re using colloquial word usage and demanding scientific advances follow your expectations, you’re going to have a bad time.
But let’s just say for the sake of argument that you’re 100% correct, and that Evo is not an LLM. Rather, it’s something extremely close, save for a few differences.
People are already angry at the researchers for “Using AI to develop super-bugs,” or saying the genuinely universal “AI has no uses!” And earnestly failing to differentiate between the shit-bot that makes deep-fakes, and the AI designed to identify cancers.
That is why I absolutely reject your disrespectful framing that by defending a technology, and NOT it’s worst uses, I’m somehow opposite to “care(ing) for humanity.”
The actual technology behind Evo and ChatGPT is structurally the same. The methods of training a model on genomic data or weather patterns is indistinguishable from training it on stolen media. The difference is the uses, and targets.
I did not say all deep learning algorithms are LLMs, I said all LLMs are deep learning algorithms. It’s a nested hierarchy, that relationship only runs one way.
Yes. Evo was trained on text strings of genomic data. That’s what I was trying to say was the misunderstanding. LLMs do not require language as you and I would recognize it. If you think that calling them “Large Language Models,” is misleading, I kinda agree, but then we can start arguing semantics about why scientists name anything the way they do. Dark matter isn’t actually dark, and probably isn’t matter. Dark energy isn’t dark. There was no explosion during the big bang.
If you’re using colloquial word usage and demanding scientific advances follow your expectations, you’re going to have a bad time.
But let’s just say for the sake of argument that you’re 100% correct, and that Evo is not an LLM. Rather, it’s something extremely close, save for a few differences.
People are already angry at the researchers for “Using AI to develop super-bugs,” or saying the genuinely universal “AI has no uses!” And earnestly failing to differentiate between the shit-bot that makes deep-fakes, and the AI designed to identify cancers.
That is why I absolutely reject your disrespectful framing that by defending a technology, and NOT it’s worst uses, I’m somehow opposite to “care(ing) for humanity.”
The actual technology behind Evo and ChatGPT is structurally the same. The methods of training a model on genomic data or weather patterns is indistinguishable from training it on stolen media. The difference is the uses, and targets.