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(Undercover) Wires

ATTN: this is LIFE-ALTERING INFORMATION, PEOPLE. Remember this moment.

I felt a foundational shift within— i am no longer the person you once knew 15 minutes ago. Nothing in this world will ever be the same again.

Just learned that if you add “cooked.wiki/“ to beginning of ANY recipe url (before the https:/) it strips away everything but the recipe and organizes the ingredients and method into separate columns.

Works for mobile and desktop 🤯
14 comments
Lett Osprey

@JoParkerBear This, of course, uses generative AI to figure out what is what and present it.

LLM trained on copyrighted text.

Just so people are aware.

Maarten

@lettosprey @JoParkerBear What makes you say it uses AI? The Paprika cooking app has been doing this since well before LLMs were around. All they need go do is identify the correct two sections of the page and cooy them word for word. No generative anything needed?

Lett Osprey

@thinkling "ll they need go do is identify the correct two sections of the page and cooy them word for word"

You say you are a software developer. Can you imagine a simple way of "all they need to do" part there? Like, all the different ways a web page can be laid out, all the different ways these sections can be written. Is this really a "all they need..." thing, or is it a tad more complex?

Maarten

@lettosprey it’s not complex. On most sites each is going to be in a div of its own, so you’re looking to identify two divs. One is going to have ingredient and quantity words. The other is the prose description and will have lots of action verbs. It doesn’t need AI. Like I said up front, apps did this before LLMs came along. And I’m not sure extracting this with LLMs would work well—literal word for word reproduction is not what they’re made to do.

Maarten

@lettosprey I suppose you could use trained classifiers to identify the divs, and one could call that AI (now that it’s well understood we tend to call it machine learning) but it’s vastly simpler than using LLMs.

Lett Osprey

@thinkling So, no, you don't quite understand the complexity of this task, then.

Just for the hell of it, I took a look at 3 different sites. They all used different tags, some used json objects for the ingrediences.

Yes, LLM seem to handle these kinda tasks very well.

I am not saying this cannot be done without AI, but it requires QUITE a lot more than "just look for a couple of divs", and will probably fail on a lot more sites than LLM extraction would.

Chris

@JoParkerBear its like 12ft.io for recipes. absolove it

Pavel A. Samsonov

@JoParkerBear This seems like way more work than just clicking the "scroll to recipe" button that every website has.

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