Not sure why stop at the backend.
GPT is all you need for the back end
61–70 of 278 posts
Re: GPT is all you need for the back end
#62This is hilarious. I would love to see a transcript of sample API calls and responses. Can anyone post one? Perhaps even contribute one to the project via GH PR?
Re: GPT is all you need for the back end
#63You know we’re doomed when half the comments here are taking this seriously, and not as the satire it clearly is (1KB of state? come on people)
Props to the OP for showing once again how lightheaded everybody gets while gently inhaling the GPT fumes…
Re: GPT is all you need for the back end
#64This sounds like a nightmare lmao. Can you imagine trying to debug a system like this? Backend work is trawling through thousands of lines of carefully thought-out code trying to figure out where the bug is—I can't fathom trying to work on a large system where the logic just makes itself up as it goes.
> a large system where the logic just makes itself up as it goes.
What you describe is known as a “bureaucracy”, and indeed, it’s one of the seven levels of hell, and a primary weapon of vogons, next to poetry. That we aspire to put these in our computers, I agree, is unfathomable.
Re: GPT is all you need for the back end
#65I did something very similar, with React and Redux and ChatGPT standing in for the reducer: https://spindas.dreamwidth.org/4207.html Previously on HN: https://news.ycombinator.com/item?id=34166193 It works surprisingly well!
Awesome stuff! I love it!
Re: GPT is all you need for the back end
#66SQL injection to drop tables: boring, from the 1980s, only grandads know how to do this.
Socially engineering an LLM-hallucinated api to convince it to drop tables: now you're cookin', baby
Re: GPT is all you need for the back end
#67me: haha cute, but this would never work in the real world because of the myriad undocumented rules, exceptions, and domains that exist in my app/company.
12 year old: I used GPT to create a radically new social network called Axlotl. 50 million teens are already using it.
my PM: Does our app work on Axlotl?
Re: GPT is all you need for the back end
#68Earlier quoted context omitted.
Unless you consider Phoenix or San Francisco to be "closed tracks", that's 100% factually wrong.
Yes, I do. The point is we didn’t solve the general case, we just learned how to scale the specific case that was demoed in 2007. This is like building a ladder to the moon; it’ll get you closer, but it’ll never get you to the moon.
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.
Re: GPT is all you need for the back end
#69This sounds like a nightmare lmao. Can you imagine trying to debug a system like this? Backend work is trawling through thousands of lines of carefully thought-out code trying to figure out where the bug is—I can't fathom trying to work on a large system where the logic just makes itself up as it goes.
Debugging in the future will be like Dave talking to HAL, asking the backend why it decided to email all of the customers a 100% off coupon. "You've prioritized customer retention over all else so what better way to keep them then to offer a free service... Dave"
Re: GPT is all you need for the back end
#70Even if this is not 100% serious, it is really starting to feel like the ship computer from star trek is not too far away.
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
> the latest iterations of "AI" are really good at making people believe it'll be there in 2 years.
This rings me a lot. It feels like the current generation AI companies/projects have been rewarded for making people believe the future is near. In reality, we're just driving towards the top of a local maxima for possible big money. We clearly won't reach AGI with the current LLM approaches, for example. (Perhaps, there might be a breakthrough in computer hardware that might make it possible, but only in significantly inefficient ways.)