That’s not how a LLM like Chatgpt works. It’s not referencing cocktail recipes, compiling their ingredients, seeing commonalities, figuring out mathematical formulas, and then experimenting with the variables. That kind of thing is still probably a decade or more away, if not decades.
If you’re curious, see what people have tried to do with AI generated recipes that fit nutrition guidelines and how they never add up correctly.
From what I’ve seen of cocktails and recipe books, there’s probably a lot more of them than you realize. I guarantee you there are thousands of cocktail recipes you’ve never heard of that have been written into published recipe books.
All of that to say that Chatgpt is basically just making up arrangements of words that based on its training should go together.
snooggums@kbin.social 1 year ago
So, basically what people who are decent at cooking do all the time. Groundbreaking.
Fondots@lemmy.world 1 year ago
I’m a little bit of a cooking nerd, and a pretty adventurous eater. There are some flavor combinations that, when they’re explained to me, make a lot of sense, and I can see how they would work well together, but I would never think of putting together myself in a million years unless I saw some high-end chef on a cooking show or fancy restaurant do it first.
Off the top of my head, I remember someone on iron chef making some sort of fish ice cream, and someone on some other cooking show making some sort of liver pate and jelly donut, and both were very well received by the judges. I’d never think of putting those ingredients together in those ways, my first gut instinct if you just told me that those foods existed without further explanation was that they sound gross, but after thinking about it or having the chefs or judges explain them, I can totally see how they can work.
There’s only so many chefs cooking at a high level like that though, whose brains are wired in such a way that they really understand how the flavors can work together and can work around the biases that most of us have and put together ingredients in new and unexpected ways.
AI often won’t have the same biases we do (though it may be biased in other ways) so it could lower the barrier to entry for those of us who have the hands-on skills to put those sorts of dishes together, but maybe aren’t quite creative enough to come up with them by ourselves, and for the more creative types it could potentially become a useful sounding board for them to bounce ideas off of.
snooggums@kbin.social 1 year ago
And yet the example soda flavor wasn't well received because randomly putting shit together isn't something that is inherently better when a computer does it.
Fondots@lemmy.world 1 year ago
Even though it’s apparently a pretty lackluster soda, I think it’s pretty notable that I haven’t seen any reviews saying that it’s outrightbad, it’s just not great. That’s better than I would expect from just randomly mixing ingredients.
Now we don’t know how many iterations it took to get them to that point, what kind of prompts or human handholding it took to get it to that point. It very well might be that the computer gave them a thousand bad formulas and this was the only one that was remotely palatable, but we don’t know and probably never will know if that was the case.
Not that I think coke will do it, but personally I think it would be cool for them to take the feedback they get from this soda, feed it back into the ai and have the computer design a version 2.0 based on that feedback and see how well it goes, and keep iterating it that way and see where they end up.
c0mbatbag3l@lemmy.world 1 year ago
I mean for a machine to do it? Yeah it kind of is.
Like the whole purpose of developing AI is to replace us, it being able to do what we do is literally the metric we are shooting for.