802
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 30 Apr 2024
802 points (92.0% liked)
News
23627 readers
2552 users here now
Welcome to the News community!
Rules:
1. Be civil
Attack the argument, not the person. No racism/sexism/bigotry. Good faith argumentation only. This includes accusing another user of being a bot or paid actor. Trolling is uncivil and is grounds for removal and/or a community ban. Do not respond to rule-breaking content; report it and move on.
2. All posts should contain a source (url) that is as reliable and unbiased as possible and must only contain one link.
Obvious right or left wing sources will be removed at the mods discretion. We have an actively updated blocklist, which you can see here: https://lemmy.world/post/2246130 if you feel like any website is missing, contact the mods. Supporting links can be added in comments or posted seperately but not to the post body.
3. No bots, spam or self-promotion.
Only approved bots, which follow the guidelines for bots set by the instance, are allowed.
4. Post titles should be the same as the article used as source.
Posts which titles don’t match the source won’t be removed, but the autoMod will notify you, and if your title misrepresents the original article, the post will be deleted. If the site changed their headline, the bot might still contact you, just ignore it, we won’t delete your post.
5. Only recent news is allowed.
Posts must be news from the most recent 30 days.
6. All posts must be news articles.
No opinion pieces, Listicles, editorials or celebrity gossip is allowed. All posts will be judged on a case-by-case basis.
7. No duplicate posts.
If a source you used was already posted by someone else, the autoMod will leave a message. Please remove your post if the autoMod is correct. If the post that matches your post is very old, we refer you to rule 5.
8. Misinformation is prohibited.
Misinformation / propaganda is strictly prohibited. Any comment or post containing or linking to misinformation will be removed. If you feel that your post has been removed in error, credible sources must be provided.
9. No link shorteners.
The auto mod will contact you if a link shortener is detected, please delete your post if they are right.
10. Don't copy entire article in your post body
For copyright reasons, you are not allowed to copy an entire article into your post body. This is an instance wide rule, that is strictly enforced in this community.
founded 2 years ago
MODERATORS
Ugh, It's a little judgy and I actually like AI in some day-to-day search scenarios but instantly disappointed in the blue cheese company when this banner appeared across the top of their homepage. " Find out how AI is shaping the future of Food and how you can support the movement! " With links to join a mailing list.
Also, just an FYI, they aren't selling the cheese to consumers yet, it's only available in a handful of restaurants.
That is a specific day to day scenario that makes sense to me for AI - finding new combinations of flavors by following some machine learning recommendation, especially if the intended application is to use AI to discover better vegan cheeses
I don't think you really even need AI (in the sense of LLMs, as that's usually what's referred to with AI) for a flavor pairing software whatchamacallit. I forget what the concept is called but I learned about it through the flavor matrix. Where you essentially compare the different aromatic and flavor compounds in a given food/ingredient and base recommendations off of other foods with compatible compounds in them. A large enough database and a good UI would be a gamechanger for cooking
They probably don't mean an LLM in this case, but rather some combination of statistical methods for determining under-explored flavor combinations
Yeah, machine learning is going to be great for the protein revolution. For Qorn they had to run thousands of experiments to find something that tasted good. Imagine if you can model millions of experiments and already weed out 98% of proteins…
I'm not sure I get the mailing list part, but this is the type of task modern Machine Learning is actually great at (much better than they are at text or art generation). You have some huge open possibility space the humans can't possibly explore all of, and where false negatives aren't costly. You can use the model to narrow down the possibility space to something manageable for a human to review manually. Very similar to how its used in astrophysics, for example.