Did they determine this by comparing what DNA fragments they’ve managed to recover, or by physical skeletal structure similarities, or what?
I’m no expert in the field, but I just don’t see it.
Did they determine this by comparing what DNA fragments they’ve managed to recover, or by physical skeletal structure similarities, or what?
I’m no expert in the field, but I just don’t see it.
This exact scenario scares me, because what we know about current LLMs is not that they are good discovers of things, but that they are very convincing liars.
That’s because most of what we hear about “AI” is revolving around content “creation” controversies, but these are successfully used in analyzing wide data sets for scientific purposes, like finding new foldings of proteins, diagnosing cancer, reading ancient burned scrolls via etcxrays
And all of those things are then analyzed and verified before anything is done with them. No reputable scientist is taking those results and dumping it straight into a paper; the deep learning engines are pointing scientists in the right direction; they’re taking the haystack and making it a handful. Protein folding is a little different because the results can be directly verified programmatically (I think; I’m not an organic chemist, or biologist, or whoever is doing this research).
The output of LLMs can be great outlines. They can also be wildly, and confidently, wrong.
the tech is in its infancy. dont discount what its capable of based on its current iteration. science is a progression
Oh, believe me, I don’t. At all. I’ve been working in the software engineering sector since the mid 90’s; I’m quite aware of the rapid pace of change in this sector. I was briefly considering a focus on AI when getting my degree, back in the early 90’s.
But this specifically mentions LLMs, and the fundamental way LLMs function is not going to lead to self-aware AI, or any sort of system that is going to be able to self-evaluate for accuracy or “truthiness.” It’s going to take an advance in neural net science; maybe in combination with LLM - but LLMs by themselves will only ever be dumb machines that generate predictive text based on - I don’t know, Bayesian probabilities, or whatever.
ha, i never meant full-on GAI, singularity. i just meant a visual model good enough to classify what it sees in a very specific context. i never mentioned or meant to refer to ‘ai’
Yeah, about that…
Different AI models are developing in different ways. Some are learning from legit, curated sources from reputable scholars and professors and such.
But other AI models are learning from less than reputable sites, such as Reddit…
Google is learning from Reddit. This tech journey is gonna be fun…