Comment by xtracto
1 day ago
When LLMs write 100% of the code and we humans are only tasked with validating and verifying its function, programming languages won't be needed (prog langs are for people).
I wonder if at some point we will have an LLM that basically understands English and say, Java bytecode or V8 bytecode. So in goes English descriptions and comments and out goes program bytecode implementing the required functionality.
Also for LRMs.. why use English for the reasoning part? Could there be a more succinct representation? Like Prolog?
The next evolution is you don't need applications at all. Applications are for automation speed, nothing else.
Prior to computers, processes were completed by human to human communication. Hard to scale, impossible to automate. So then we had applications, which force fairly strict processes into a funnel.
But they're extremely restrictive and hard to make.
If you already have God AI, you just don't need an application. I don't go to an airlines website and book a flight. No, I ask my assistant to book me a flight, and then I have a flight.
The assistant might talk to the airline, or maybe hundreds of other AI. But it gets it done instantly, and I don't have to interface with a webpage. The AI have a standard language amongst themselves. It might be English, it might not be.
That sounds horrendously inefficient, no?
Is creating a giant wobbly world of unreliable AIs all talking to each other in effort to get their own tasks accomplished, is that leaving us much better off than humans doing everything themselves?
Better yet, if you have an application that does exactly what you want, why would you (or an AI representing you) want to do anything other than use that application? Sure you could execute this binary and get what you want, OR you could reach to the AI-net and make some other AI do it from scratch every time. With inherently less reliable results.
Sorry I should of specified, this is assuming a world with perfect AIs.
The world right now is pretty strict just because of how software has to be, which has a lot of upsides and downsides. But there's some wobblyness because of bugs, which break contracts.
But I think then in the future you have AI which doesn't make mistakes and you also have contracts.
Like the airline agent booking your flight (human or AI) has a contract - they can only do certain things. They can't sell you a ticket for one dollar. Before applications we just wrote these contracts as processes, human processes. Human often break processes. Perfect AI won't.
And to us, humans, this might even be completely transparent.
Like in the future I go to a website because I want to see fancy flight plans or whatever and choose something.
Okay, my AI goes to the airline and gets the data, then it arranges it into a UI on the fly. Maybe I can give it rules for how I typically like those UI presented.
So there's no application. It works like an executive assistant at a job. Like if I want market research, I don't use an application for that. I ask my executive assistant. And then, one week later, I have a presentation and report with that research.
That takes a week though, perfect AI can do it instantly.
And for companies, they don't make software or applications anymore. They make business processes, and they might have a formal way for specifying them. Which is similar to programming in a way. But it's much higher level. I identify the business flow and what my people (or AI) are allowed to do, and when, and why.
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disagree. Programming languages are useful at minimizing context for humans as well as AI. Much easier to call preg_replace rather than implement a regex engine.