Earlier quoted context omitted.
What if it can fix itself?
ChatGPT (and GPT-3) can criticize its own output, and then incorporate its own feedback into an improved version. This works for essays, for code... I'm waiting for a Copilot upgrade that puts red squigglies under "probably wrong" code, because GPT-3 can already detect and fix most of it.
GPT is all you need for the back end
191–200 of 278 posts
Re: GPT is all you need for the back end
#192Earlier quoted context omitted.
I am sorry to tell you, but AI is exceptional for engineering. Just make the AI also generate a proof that its code meets the spec. That's what human engineers should already do, but it was costly, because the tools were not good enough and the engineers not educated enough. AI is going to cut right through that Gordian knot. This should not be surprising: There is a large intersection between engineering and mathema…
> Just make the AI also generate a proof that its code meets the spec. How would one tell if the AI-created "proof" is both accurate and adequate?
Re: GPT is all you need for the back end
#193Earlier quoted context omitted.
The closer we seem to get the farther we actually are. We're far away from AGI, if we even can reach it with our current approaches, but the latest iterations of "AI" are really good at making people believe it'll be there in 2 years
> We're far away from AGI You literally have no way to make that determination.
Re: GPT is all you need for the back end
#194Earlier quoted context omitted.
I am sorry to tell you, but AI is exceptional for engineering. Just make the AI also generate a proof that its code meets the spec. That's what human engineers should already do, but it was costly, because the tools were not good enough and the engineers not educated enough. AI is going to cut right through that Gordian knot. This should not be surprising: There is a large intersection between engineering and mathema…
> Just make the AI also generate a proof that its code meets the spec. How would one tell if the AI-created "proof" is both accurate and adequate?
Re: GPT is all you need for the back end
#195Earlier quoted context omitted.
Writing a spec thorough enough for AI to generate code that verifiably meets in and solves your problem means you're still programming, but specs instead of systems.
Sure, the human element will still be there. But note that the detail of your spec will converge to the natural "resolution" of your problem as the power of your AI increases.
Re: GPT is all you need for the back end
#196Earlier quoted context omitted.
You are factually wrong. The general case is being solved. Self-driving systems are objectively better every year, and will eventually reach human level safety. You can literally watch cars self-driving in all kinds of places and conditions. Yes, they make mistakes. So do humans.
So when will these self-driving cars be ready for mass consumption? Because they're starting to sound like flying cars at this point. Yes, technically doable and there are always some working prototypes, but no real market, and not seen as practical.
Re: GPT is all you need for the back end
#197Earlier quoted context omitted.
> We're far away from AGI You literally have no way to make that determination.
That should be the default assumption, unless you can prove that our current approaches are on the right track... Which I don't think anyone actually believes.
Any strong declarative statements require justification, period, whether that is an assertion of existence or non-existence.
> unless you can prove that our current approaches are on the right track
How anyone can look at the progress in machine learning in audio, video and written expression, and not think "we're on the right track" is honestly beyond me. You can start here:
https://www.lesswrong.com/posts/K4urTDkBbtNuLivJx/why-i-thin...
Re: GPT is all you need for the back end
#198Earlier quoted context omitted.
> This is an incredibly bold prediction that isn't supported by the opinions of the majority of people in the field Well, DUH! "It is difficult to get a man to understand something when his salary depends upon his not understanding it." - Upton Sinclair. The people in the field who are making these promises may even believe it themselves, because their bread and butter comes from it.
You have an incredibly dim and pessimistic view of researchers and scientists. They could all easily double or triple their salaries by moving to standard industry but decide to work in Academia or Research Labs. These people on average predict AGI within ~30 years with more than 50% probability. Not sure how that prediction benefits their salary in any meaningful way. If Astronomers were predicting a mass-extinction…
“Asteroid extinction” hasn't gone through several rounds of hype of imminence from people working in the field with a financial interest in that perception to extended “winters” as the basis of the last imminence cycle bursts in my lifetime, so... maybe the two things aren't analogous.