A talk from the hacker conference 39C3 on how AI generated content was identified via a simple ISBN checksum calculator (in English).
A talk from the hacker conference 39C3 on how AI generated content was identified via a simple ISBN checksum calculator (in English).
I mean in this specific case it did make a working tool to identify hallucinated sources.
And yes it’s definitely better at code than doing something requiring the sort of thinking that Wikipedia edits require. I’m not drawing that from this singular thing but rather when they’ve studied the correctness of AI output. Coding is sorta “easy” for a computer to do compared to language and information tasks in that sort of free-er form way.
Right, but it also outputs really bad code, so pointing to this specific example is pointless to the overall point. Both code and language output have to be validated and reworked, because an AI is just a stochastic parrot. The quality of the final product is dependent on the person using what the AI gives them.
Lol. Lmao even. Vibe coding is arguably worse than vibe talking, just ask the users of Tea. Or the devs of NX that had to stop an AI PR that would have run unsanitized shell commands. Or that idiot that fired everyone to vibe code his app that was immediately hacked.
If you think language requires more thinking than coding, I don’t know what to tell you, considering that code is applied thinking/logic. AI is good at speeding things up by accelerating blocking things out, but absolutely sucks at producing a workable product. Just like with language processing.
But I’m done with this conversation, considering you’ve ignored the point I’m making to point back at this example multiple times now. Good day.
I mean it’s not really my take,it’s just when they’ve tested it out at different tasks. It does a lot better at coding than most other tasks.