optimized for […] sustainability
beef and cheese
optimized for […] nutrition
Explaining AI to Americans: Hallucinate a burger.
Yeah, because the Big Mac is…so unique in its ingredients?
It has the whole third bun thing going on
AI trained on burgers plagiarises most prolific burger. Wow
Using round balls as a model system, a generative AI system rediscovers the classic round ball without explicit supervision and generates novel round balls optimised for shape, colour, or diameter, according to a paper in npj Science of Balls and Testicles.
Did it discover pigpoopballs though?
you can tell this is ai because there are way too many pig poo and balls.
Wow, the plagiarism machine plagiarized the Big Mac.
trying to explain optimization to a generative AI: imagine a burger
Yeah like wtf why is generative AI part of this. This is standard reward function optimization from the 1970s. Throw some simulated annealing at it and check in after 30 seconds
LLMs have limited uses but they’re the only thing the entire western tech industry has decided to work with so we have to rebrand old, simple processes as being done by them
And even then, the only way we will know if these new, unheard-of burgers are actually delicious is to give them to focus groups to do taste testing, which is currently the process.
Do we really need an ai to tell us that “75 percent of respondents said they didnt like how sweet the bun was” means we shluld"look at reducing the sugar in the bun? I’m not sure what an AI is even doing in this process
Haven’t you heard? LLMs can replace focus groups and polls because they’re already made up of averaged opinions.
Thank god they haven’t yet invented the RoboTongue
I found a YouTube link in your comment. Here are links to the same video on alternative frontends that protect your privacy:
I do like when my imaginary burger’s imaginary feedback has a +30% Moist factor over the imaginary Big Mac’s imaginary feedback.
AI invents burger and all it took for it to do that is all the power of the Hoover Dam and the entire knowledge of human history including all the burgers.
“rediscovers”
Yeah, I rediscovered how to make a quarter pounder with cheese
Finally, we can close this chapter on the lost mystery of the Big Mac
You know what they call that in France?
A royale with cheese
Am I stupid or is providing a data set to model output definitely, unambiguously, 100% supervision?
So I may be stupid but now I understand even better how this burger generator is meaningless.
The greatest sin ever committed in computing is treating a program as a neutral oracle in order to make it more marketable.
I’d say, going by the tweet alone, that it probably falls under active learning.
From random samples, the model successfully rediscovers the classic Big Mac®, both in correct ingredients and weights, although the Big Mac® was never part of the initial training data (Fig. 2a). Across ten independent randomizations, rediscovering the Big Mac® requires on average 7.3 million samples which demonstrates that exact replication of recipes is a low-probability event under the learned distribution (Fig. 2e).
my siblings in christ that’s not recreating the big mac, that’s keep hitting your head against the wall untill you start to bleed lmao. i don’t have anything specific to say against the paper (because i can’t be bothered to look deeper) but this really specific and horrible to test benchmark is way too funny to not dunk on.
Sounds like they proved the “monkeys on typewriters” theory
>create training sample built on millions of burgers that are derivatives of the big mac™, but use a different name for legal reasons
>the model produced a derivative of the big mac™
waow, these dipshits really indebted themselves to the state for their whole adult lives to do this, by the way.
Delicious Burger #2’s meat looks like charcoal
