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Post-GPT Computing

grady.io

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Re: Post-GPT Computing

#241

Post by leishman »

illiarian wrote: post #217
crop_rotation wrote: post #205

Earlier quoted context omitted.

It is so far ahead of even what the best IDEs do. For one, I have not seen GPT4 ever use non existent APIs. You don't need to carefully construct prompts. It tolerates typos to a good extent. You can just type a rough description and the output won't need cleaning manually. You might need to reiterate it to focus on some thing (like remove all heap allocations and focus on performance).

> For one, I have not seen GPT4 ever use non existent APIs. Have you asked it to use any API that appeared after September 2021 (that's the cut off date for its data)? Have you asked it to write code in less popular languages (e.g. Elixir)? Have you asked it to write code for less popular or unavailable APIs (smart TV integrations)?

Yeah it was basically useless for an Elixir project I was working on. That will probably change at some point I’m sure.

Re: Post-GPT Computing

#242

Post by maherbeg »

An easy way to solve some of the problems of employment are to start reducing what "full time hours" means. With this first wave of LLMs, we can start decreasing down to 35hours. With the next wave, maybe we move down to 30 hours.

Once we can send LLMs to meetings with each other, we can move down to 15 hours of purely joyful work :-D

Re: Post-GPT Computing

#243

Post by [deleted] »

bitcoin_anon wrote: post #193
green_man_lives wrote: post #186

Earlier quoted context omitted.

The first time around (and every subsequent time) the tools used for production, lets call them capital, made laborers more efficient and cheapened goods and drove wages up (mostly). In all of these cases there was still the need for a laborer. At a point when all labor is obsolete there will be literally no method of survival for anyone who doesn't own the "compute capital". The two options will be to let everyone s…

> At a point when all labor is obsolete there will be literally no method of survival for anyone who doesn't own the "compute capital". How about subsistence farming?

[deleted]

Re: Post-GPT Computing

#244

Post by asdff »

dopeboy wrote: post #65
falcor84 wrote: post #43

Earlier quoted context omitted.

This is easy to say, but I would argue that it's impossible to know what to level up in; the field is just moving too quickly now. At this stage, the best advice I could formulate would be to learn LangChain and prompt engineering, but these too are fast moving targets, and who knows what's going to be relevant in 2024?

I agree, it is disorienting. I think the best thing one can do is learn how LLMs work, acquaint themselves with real implementations of it (ChatGPT, copilot), and then find ways to integrate these techniques into their companies.

Or that could be a way to end up in the woods. What if you made a bet like this on metaverse being the future? You'd be wishing you hadn't now.

Instead, look at the job postings for titles you want. Note the skills in demand at more than one job. Focus on those skills. There's your set of skills the market currently is in demand of.

Re: Post-GPT Computing

#245

Post by BeFlatXIII »

btbuildem wrote: post #142
DethNinja wrote: post #14

I don’t get the overall doom and gloom towards LLMs on the software field. If you are a software engineer, this will output your productivity ten fold on the upcoming years. Now you don’t need to hire junior devs and can just build the product of your dreams with very limited capital. In my opinion this technology will be as democratising as the YouTube’s early days. Instead of worrying, learn to work with it. It wil…

From your comment: > I don’t get the overall doom and gloom towards LLMs on the software field. From the second line of your comment: > Now you don’t need to hire junior devs Do you need GPT to put the two together? I think it's pretty obvious why folks are freaking out.

It's democratizing for those with an idea but without the skill to convince investors to hire the juniors to implement it. It's a problem for employment numbers and macro-scale ratios of working to non-working adults.

Re: Post-GPT Computing

#246

Post by crop_rotation »

illiarian wrote: post #217
crop_rotation wrote: post #205

Earlier quoted context omitted.

It is so far ahead of even what the best IDEs do. For one, I have not seen GPT4 ever use non existent APIs. You don't need to carefully construct prompts. It tolerates typos to a good extent. You can just type a rough description and the output won't need cleaning manually. You might need to reiterate it to focus on some thing (like remove all heap allocations and focus on performance).

> For one, I have not seen GPT4 ever use non existent APIs. Have you asked it to use any API that appeared after September 2021 (that's the cut off date for its data)? Have you asked it to write code in less popular languages (e.g. Elixir)? Have you asked it to write code for less popular or unavailable APIs (smart TV integrations)?

I have used it to write Nim and Zig code (both not too popular languages).

I also asked it to write using non existent but plausible sounding APIs, and it flat out says "As of my knowledge cutoff in September 2021, I have no knowledge ...."

Ae you talking about GPT4 or the default ChatGPT?

Re: Post-GPT Computing

#247

Post by idopmstuff »

angarg12 wrote: post #158

Last week I used ChatGPT for the first time for a real world task at work. It was a self-contained lambda function to perform some admin tasks, so it seemed like an ideal fit. Although the experience was good, it's far from the end of programmers. This was my experience: * Although ChatGPT is pretty good at generating code, it kept making simple mistakes such as calling non-existing APIs or introducing bugs. Some of…

I'm a PM who is relatively technical, but I haven't written more than a few lines of code (stuff like minor modifications to my Shopify site) in a decade.

I saw a bunch of people talking about how GPT helped them code stuff on Twitter, so I thought I'd give it a try. Right now I'm building a sort of simple, mock version of the type of software that integrates with my company's APIs. I've successfully managed to create a simple web application that creates a new object, hits my company's API endpoint to create a corresponding object on our software, allows me to upload a document locally and then allows me to upload that document to our software via API as well. It's all a little messy and clearly not production-ready, but it works. It would've taken me probably a few months on nights and weekends do this (mostly refreshing myself on JS and Python). Instead I've done it in I'm sometimes able to spot and fix GPT's bugs, but even when I'm not, it walks me through adding more logging and successfully debugs issues. Sometimes it takes a few tries and a little direction as to what I suspect the issue is, but so far it's fixed everything that's come up. I don't think this would be doable for a totally non-technical person, but I do think it'll get there pretty soon.

I'm just absolutely blown away.

Re: Post-GPT Computing

#248

Post by asdff »

moomoo11 wrote: post #233

Are people asking it to generate code like “generate a random color hex code” or are they trying to use it to write code you’re going to put in production for users with access controls and various complexities? Because yeah it works fine for basic programming things but I believe you need to know wtf you’re doing when it comes to anything more complex, even something basic like some of our single endpoint services.

I am positive there are plenty of undergrads who are probably going to try to get chatgpt to write up an entire app they can sell so they don't have to try and find a job in a recession. I imagine you could get this entire process automated from the prompts to the app store submissions, maybe you could have 10,000 junk apps each giving you maybe a dollar a month in return before long, that would be a good take for passive work after you set up your automation environment.

Re: Post-GPT Computing

#249

Post by d0mine »

crop_rotation wrote: post #203
ollien wrote: post #197

Earlier quoted context omitted.

Maybe the ChatGPT implementation of GPT-4 is different than the one in Bing AI, but I tried to ask Bing AI to write a fairly simple Python-based ini-parser yesterday (and by that I really mean using the built-in configparser module), and while it got a good amount of the way there, but attempted to index a string with a string-key, which was weird. After multiple notices of this mistake, it produced something that _c…

I can confirm that GPT4 is much better than Bing on such tasks (have used both extensively for same prompts.)

Bing is backed up by GPT-4? No?

Re: Post-GPT Computing

#250

Post by green_man_lives »

bitcoin_anon wrote: post #193
green_man_lives wrote: post #186

Earlier quoted context omitted.

The first time around (and every subsequent time) the tools used for production, lets call them capital, made laborers more efficient and cheapened goods and drove wages up (mostly). In all of these cases there was still the need for a laborer. At a point when all labor is obsolete there will be literally no method of survival for anyone who doesn't own the "compute capital". The two options will be to let everyone s…

> At a point when all labor is obsolete there will be literally no method of survival for anyone who doesn't own the "compute capital". How about subsistence farming?

I supposed if the gracious techno-overlords are gracious enough to grant the underclass a nature preserve where they can keep living in a labor-powered society then sure. Somehow I feel that bulldozing ghettos would be the more realistic outcome.

Truthfully I think we'd have a few large societal shifts before we ever got to the stage where genius level AI could be spun up and down like containers, but it helps to illustrate the point that a post-labor society is incompatible with the tenets of capitalism, which is something that a lot of people fail to comprehend when they worry about AI.

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