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Post-GPT Computing

grady.io

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11–20 of 504 posts

Re: Post-GPT Computing

#11

Post by PaulWaldman »

Current higher level programming languages are developed for humans to develop software closer to their natural language. If in the future humans will be writing and debugging little code, these LLMs will naturally evolve to directly writing Assembly. Scary to think about, but also makes me wonder how many non-technical people cope today with the "black box" of a computer.

About twenty years ago, I had a professor explain to the class that Rational Rose would be replacing us all....yet here we still are.

Re: Post-GPT Computing

#13

Post by tough »

meghan_rain wrote: post #7

> OpenAI made the extraordinary and IMO under-discussed decision to use an open API specification format, where every API provider hosts a text file on their website saying how to use their API. This means even this plugin ecosystem isn’t a walled garden that only the first mover controls. I don’t fully understand why they went this way, but I’m grateful they did. Did OpenAI just commit a trillion dollar mistake?

That the use an standard OpenAPI, for parsing, doesn't mean than anyone can built into chatgpt without permission (it's a waitlist for now)

I don't see this

Re: Post-GPT Computing

#14

Post by DethNinja »

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 will be harder for large companies/large teams to extract value from this compared to small companies/small teams.

It means competition between companies will increase but it isn’t necessarily bad for existing software engineers, especially solo founders.

Re: Post-GPT Computing

#15

Post by karmasimida »

meghan_rain wrote: post #7

> OpenAI made the extraordinary and IMO under-discussed decision to use an open API specification format, where every API provider hosts a text file on their website saying how to use their API. This means even this plugin ecosystem isn’t a walled garden that only the first mover controls. I don’t fully understand why they went this way, but I’m grateful they did. Did OpenAI just commit a trillion dollar mistake?

Essentially a manifest of API call, documentation and parameters.

I don’t think convert it in and out of proprietary standard is that difficult?

There is little to no vendor lock-in effect

Re: Post-GPT Computing

#16

Post by ChatGTP »

Riverheart wrote: post #6
dakial1 wrote: post #4

I don't get some coders/devs/software engineers surprised that LLM can now pretty much create a whole code out of a prompt. Wasn't this the final objective of the programming languages abstraction evolution? From Binary/Assembly to Natural Language Programming? I think it is awesome that more people will be able to create software/products as this accelerates innovation cycles a lot. And, for now, I believe devs that…

Job stability is measured in years. Looking forward, assuming it improves, it’ll do more than just copy/paste code. It’ll be a senior dev capable of explaining the pros and cons of a solution, able to do code reviews and so on.

It's time to build a business I guess?

Others have said exactly what I'm thinking, welcome to the age of the micro-startup, 1-3 engineers, designers, product mangers building some very cool, albeit niche products.

Re: Post-GPT Computing

#17

Post by meghan_rain »

We need to push the notion that "closed-source LLMs are super dangerous, an existential risk to humanity".

Basically we need to equate "safety" in LLMs to mean "being open-source".

OpenAI keeps talking about "safety" as the most important goal. If we define it to mean "open-source" then they will be pushed into a corner.

Re: Post-GPT Computing

#18

Post by [deleted] »

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…

[deleted]

Re: Post-GPT Computing

#19

Post by Traubenfuchs »

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…

> Now you don’t need to hire junior devs and can just build the product of your dreams with very limited capital.

You are overestimating the vast amount of "software engineers" in the world. The overwhelming majority of us are just programmers, we are just gluing together CRUD spaghetti in the random language we grew up with. We don't care too much about work or a career. And most of us don't want to do more, we want to get a decent salary for our boring work. And we certainly do not want to be "solo founders", build products of our dreams or increase our productivity.

This way of living feels threatened now.

Re: Post-GPT Computing

#20

Post by brushfoot »

> I think over time, we’ll see that what many of us really liked about building software deep down wasn’t coding, but intricately imagining the things computers could do for us and then getting them to do it.

Spot on. It's a good time for existential reflection: Who would you have been hundreds or thousands of years ago? Who will you be now that technology is radically changing again?

There will always be interesting, creative challenges like programming, whatever form they take.

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