recked_wralph@lemmy.world 3 weeks ago
Wouldn’t an AI researcher naturally find generative AI disadvantageous because they are attempting to develop novel tools which could not exist in the training set in the first place?
recked_wralph@lemmy.world 3 weeks ago
Wouldn’t an AI researcher naturally find generative AI disadvantageous because they are attempting to develop novel tools which could not exist in the training set in the first place?
8oow3291d@feddit.dk 3 weeks ago
Even novel solutions are usually built out of smaller common building blocks. E.g. many novel solutions surely use a database. You can make the LLM help you set up and use the database, that your novel solution uses.
ayyy@sh.itjust.works 3 weeks ago
“No we don’t need databases anymore, only blockchains.” —Nvidia CEO a few years ago
MangoCats@feddit.it 3 weeks ago
And AI can help you migrate your database solutions to blockchain, utilizing 3000W worth of Nvidia co-processing power to validate your blockchain database that used to work on a 0.3W ARM processor.
8oow3291d@feddit.dk 3 weeks ago
The database was an arbitrary example. A more relevant example would be tenserflow layers in a neural network. As I understand it, you can in some cases get a novel solution to a problem just by choosing a smart enough combination, with the right data.
ChatGPT absolutely knows how to help doing the grunt work setting up the tenserflow configuration, following your directions.
MangoCats@feddit.it 3 weeks ago
Smart, lucky, who can tell the difference?
baahb@lemmy.dbzer0.com 3 weeks ago
If you are capable of giving good directions…
recked_wralph@lemmy.world 3 weeks ago
That’s fair. I guess it could be no different than a scientist with some grand scheme handing his plans off to others to implement.
I think I was assuming that cutting edge AI research involves more math/theory than just… bootstrapping existing tech stacks and tweaking configs.