That being said, I don't think current token-predictors can do that.
The RICE myth and the lactic acid myth will surely be a part of the training material so the AI will realize that there's a fair amount of unjustified conclusions in the bioworld
Why ask ourselves, when we can ask the AI? Here's the start of my conversation with Gemini:
> Me: What is known about fatty acid combustion in the brain?
> Gemini: The Brain's Surprising Use of Fat for Fuel For a long time, the brain was thought to rely almost exclusively on glucose for its immense energy needs. However, a growing body of research reveals that fatty acid combustion, or beta-oxidation, plays a more significant and complex role in brain energy metabolism and overall neurological health than previously understood. While not the brain's primary fuel source under normal conditions, the breakdown of fatty acids is crucial for various functions, particularly within specialized brain cells and under specific physiological states....
It cites a variety of articles going back at least to the 1990s.
So
> would AI have told us this?
Yes and it did
LLMs tell you what you want to hear, sourced from a random sample of data, not what you need to, based on any professional/expert opinion.
gemini.google.com mentions lactate and fat. But it also knows I care about science. I'm not sure how much history is used currently.
But this is kind of silly because if you're a member of the public and ask a scientist what the brain uses as fuel they'll also say glucose. If you've ever been in a conversation with someone who felt the need to tell you *every detail* of everything they know, then you'll understand that that's not how human communication typically works. So if you want something more specific you have to start the conversation in a way that elicits it.
Reminds me of astronomy and also quantum mechanics
strangattractor•3d ago