Maybe I'm confused but 10k attempts on the same problem set would make anyone an expert in that topic? It's also weird that zero shot performance is so bad, but over a lot of attempts it seems to get correct answers? Or is it learning from previous attempts? No info given.
A computer will never go on strike, demand better working conditions, unionize, secretly be in cahoots with your competitor or foreign adversary, play office politics, scroll through Tiktok instead of doing its job, or cause an embarrassment to your company by posting a politically incorrect meme on its personal social media account.
I get the AI skepticism because so much tech hype of recent years turned out to be hot air (if you're generous, obvious fraud if you're not). But AI tools available toady, once you get the hang of using them, are pretty damn amazing already. Many jobs can be fully automated with AI tools that exist today. No further breakthroughs required. And although I still don't believe software engineers will find themselves out of work anytime soon, I can no longer completely rule it out either.
I am interpreting this to mean that the model tried 10K approaches to solve the problem, and finally selected the one that did the trick. Am I wrong?
That's the thing, did the operator select the correct result or did the model check it's own attempts? No info given whatsoever in the article.