[rolph]

recall the pizza sauce glue trick, to stop cheese from sliding off.

there are other such goodies like mashed potatoes with broken lightbulb gravy, or fiberglass omelette, enjoyed by beldar conehead.

i wouldnt trust an AI for any recipe that i dont have personal experience with.

the safety rails are not very strong yet.

[cogogo]

If you are half decent at cooking it is actually pretty helpful to explore cooking something new. Just like coding it is nice to get specific answers to your specific question and it is pretty easy to reason about the quality using your own experience.

[goosejuice]

I would be interested in an example of this. LLMs will often combine recipes from random sites. If you're experienced enough at cooking to reason about the quality _for something new to you_, what value is there in an LLM here? I don't see any similarities to coding here.

[cogogo]

To me the similarity is I know exactly what I want to do but cannot really remember syntax (coding) or key variables (cooking) like temp and time. But I have enough experience to know if the output makes sense. Either one I can ask an llm a specific question and get a somewhat reliable specific answer that I feel comfortable parsing… this is actually one of the reasons I think I am eventually going to be on the local inference bandwagon. It is not far from being good enough for my use cases. And I will be able to skip the inevitable enshittification.

[goosejuice]

In terms of temp and time surely if you know enough to judge it's correctness, you would not need it in the first place? Code correctness is rather objective and easily testable. Cooking is rather subjective and only testable with great effort and time. I just checked 4 models on a 4lb pork shoulder in an oven. Flash was super off, suggesting you could pull at 145-150F for a sliced roast. Yeah, you could and it would fucking suck. The per lb time and total time also didn't add up. The others were better but varied. Only one (opus) thought to ask if it was bone-in. If you're very specific you could certainly have it aggregate a bunch of recipes to get a sense of what's close to a good answer, but ultimately it depends on what sources it chooses.

I could see LLMs being helpful to explore what's out there, like finding similar dishes or dishes involving a specific set of ingredients or dishes involving a particular technique, but a pretty poor tool for the actual technicalities of cooking or more importantly the uniquely personal aspects of food culture.

I dunno. I'd just buy larousse and on food and cooking.

[cogogo]

I recently roasted a 5lb leg of lamb. Temp was pretty obvious but I had never cooked meat this way so an idea on time is really useful. Google search is a disaster for this kind of question. And I guess I have never encountered a good general cook book that I feel comfortable building off of.

[goosejuice]

I think all the science of cooking ones are a good bet for generalist knowledge. Some of the more textbook like ones as well. The food lab and on food and cooking stand out, but there are many others. I'm not sure I'd classify them as cookbooks.

Food lab, for example, covers buying storing and cooking lamb + a guide for a 5-7lb boneless leg across 5 or so pages. Kenji goes through great lengths to build intuition. I'm sure larousse, which is more of an encyclopedia, covers lamb quite extensively but it's probably more terse.

The internet can be an excellent source, but like most things it depends on who is writing it down.

[eithed]

I agree and this response was following OPs example. But the point still stands - the goal is to outsource, in a weird way, the results being served = Google as such wouldn't need to pay for content. Now, if accuracy of such sources doesn't matter (or is good enough) for casual user...

[andrepd]

Given most cooking or recipe websites have been AI slop for a few years now......

I'll stick with my mom's handwritten recipe book.

[redsocksfan45]

There are virtually no combinations of food which are toxic, you can mix any food with any food and, while it might not be good, it will still be food. (The only exception I know of is alcohol and mushrooms containing coprine, e.g. inky caps)

Point is, unless you're stupid enough to add glue or broken glass to your meal just because a recipe told you to, it's perfectly safe. More than just safe, LLM recipes these days are utterly boring in their normalacy, and, unlike cookbook recipes, can dynamically adapt to what you actually have in your pantry.

[onemoresoop]

What really sucks is that Google pushed actual content creators out of the way in the first place. That is horrible. I think they should be challenged on this. Food bloggers, recipe writers, and creators have helped shape a huge amount of food culture, and they deserve to be protected rather than erased. If this kind of theft continues from the AI industry Im not sure what type of culture is is going to be left or what it is going to replace it to. I hope humanity is going to find a creative way around it, but I’m also aware how easy to manipulated the masses are.

[bflesch]

Their assumption is that all relevant culture has already been invented and capturing the status quo is enough to get 80% of the benefits.

[badc0ffee]

Evidently you're not familiar with Swedish Lemon Angels.