| ▲ | glimshe 6 hours ago | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
I've made many friends and acquaintances over the years who are top notch, some world class, programmers. I'd say that 90% of them are very excited about using LLMs for coding. They have nothing to prove to anyone and can easily steer AI to reach "godly" productivity (please note these guys were 10x programmers already). I also know some weak programmers and most of them tend to be critical of AI and want to get rid of it. Lastly, a couple of people I know are against AI for moral/ideological reasons without denying it can bring productivity increases. This is purely anecdotal but I'm starting to notice this pattern everywhere I look. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ▲ | sdiupIGPWEfh 6 hours ago | parent [-] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
All I want is an explanation of how you're all reliably getting good enough (or better) results from LLMs. Surely us AI critics are doing something wrong, something much more specific than needing to "prompt harder", if we accept the framing that 90% of world class programmings are achieving that, while the rest of us are not. There simply has to be some specific, repeatable, and yes, teachable thing we're missing. So what is it? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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