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@opinonhaver Gotcha, I also use them for discrete / fairly low context tasks at the edge of my skills and they’re super helpful in that way. At the same time I constantly find errors, often even in basic syntax that a junior wouldn’t make, that I have to correct before they’ll work
@opinonhaver@AlsoPestiEsti Despite not thinking LLMs are good coders, I do think they are good coding teachers. One of the best ways to be self taught these days is to have GPT walk you through the basics of whatever language, explain code snippets to you, etc.
“There’s a lot going on. I don’t know if you know this but there’s literally a floating island of garbage in the middle of the ocean right now. I think it’s called Puerto Rico”
At long last: my @Princeton ZERO Lab has its own website! You can now find all of our publications, meet our team, and learn about our research at https://t.co/cpKH6jv8vL!
Imagine bidding as a city contractor and thinking there's any kind of good faith selection process, when the totality of that process is "bribe a Banks brother"
https://t.co/tNIAGuEkJb
Prompt: create a graphic comprised of 35 nodes in a circle, each connected by lines to all the others
Gemini: sorry, this is a dumb idea and I won't do it
GPT-4: sure, here's the insane thing you wanted, can I help with anything else?
It's early with o1, but seconding with my experience of "AI programming." It gives small chunks of semi-useable Potemkin village code and is useless at scale.
Going on record:
The salivating fandom of o1 won’t age well. All these exasperated almost orgasmic cries that “coders are done” seem to come from people that haven’t done serious large scale projects. The hype feels exactly the same as crypto and I have a feeling it’s coming from some of the same people.
For all of the very interesting and actually impressive demos that I’ve seen of what o1 can do, as usual, they are are not even close to the scope of what a team of software developers put out for a large scale project. Furthermore, the new models are still not immune to hallucinations and mistakes.
So we are no closer today to coders being “done” than we were 2 days ago. AI remains a very useful and exciting tool in the hands of skilled software developers. It’s a force multiplier, not a replacement.
Although @GaryMarcus sometimes comes off as anti AI to the misinformed, he’s not. He’s anti hype. And the hype is off the charts. And it’s a disservice to the extremely valuable usefulness of AI to overhype it and misinform the general public. And it has real consequences. Anyone at the C suite level should be informed enough to look beyond the hype and make good decisions. But they are also human beings. And they’re getting influenced by the hype and taking their companies down some pretty dark roads with real consequences. I’d say that some percentage of lost tech jobs are from startups thinking they can replace staff with AI and mark my words, that bill will come due. The ones that do that think they’ve reduced software cost down to zero but all they’ve done is put off the technical debt payment for later when they find the bugs.
If I’m wrong, I’m wrong, I won’t be embarrassed. But no software development is not over. Far from it. And if I’m wrong, not only will I own it, but I will gladly embark on my new career as an oil painter. Not even joking.
🧊 Isocons - Carefully crafted isometric icons.
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