4 ms·

Intents: The Endgame for Computing Interfaces?

36 points by dpim 2y ago

skratlo 2y ago
Gave me a good laugh, it's like when they were envisioning flying cars 50 years ago.
OutOfHere 2y ago
If I understand, this means to map a chat to a choice of clear API calls. I buy it. The only issue with it that I can think of it the lack of reporting without asking. When I login to a site, I already want to see the most applicable information without having to ask for it. If I exclusively have to start asking a chatbot for basic info, I may miss out on a lot of what I need to know.
factormeta 2y ago
>The gradual shift from imperative to declarative interfaces prolog, sql, chatgpt comes to mind
FrustratedMonky 2y ago
Is this basically, how to do GUI's with functional programming. And someone saw the light and it is now the future? People are always getting hung up on the "how to make a GUI if variables are immutable??". It takes a bit of getting used to, but once over the hump, it seems like GUI's are easier. See typescript, or fabulous, F#, elm, etc...
shove 2y ago
Oh we’re playing with fire alright
- xuhu 2y ago
  Another way of saying we're experimenting.
david_shi 2y ago
https://www.paradigm.xyz/2023/06/intents https://www.paradigm.xyz/2023/06/intents Check this out
dpim 2y ago
Since coding with Cursor, I’ve spent a lot of time thinking about how much computing interfaces have changed in such a short period of time. Just as we saw a paradigm shift from imperative to declarative interfaces, LLMs have opened the door to new kinds of interfaces. Intent-driven interfaces are already everywhere - from AI assistants processing raw data, to Arazzo for defining how APIs map to human-scale workflows, to agents capable of handling complex tasks. While the doomer view is “robots will take all our jobs”, my optimistic take is we finally have a human-centric way of interacting with machines and it’s going to supercharge our abilities
- andai 2y ago
  If there are two partners and one is a million times faster than the other, are they both necessary? Who is going to pay a thousand times more for a thousand times less?
  - candiddevmike 2y ago
    If the faster one creates naive, hard to discover bugs, is it really faster? I don't think we understand the long term consequences (or maintenance) of LLM generated code. So far the anecdotal results haven't been great.
    - cr125rider 2y ago
      LLMs seem good at replacing off-shore and very Jr. devs. That’s about it so far. We’ll see if they can get over this current stagnation.
      - dartos 2y ago
        Do they? They just seem to replace stack overflow.
        wpm 2y ago
        Stack Overflow rarely surfaced a solution to your particular problem, but solutions to tangential or otherwise very similar problems. You still had to reason around the posters problem context and try to see if it really matched your own. You still had to have some understanding. LLMs present a solution as if it is 100% in the context of your problem. You arrive at a solution without being forced to think at all if the solution applies to your problem. Without being forced to, many will not. I teach programming and I can tell you it is so so obvious when students are just blasting shit from ChatGPT into their submissions without thought.

36 points by dpim 2y ago

Gave me a good laugh, it's like when they were envisioning flying cars 50 years ago.

If I understand, this means to map a chat to a choice of clear API calls. I buy it. The only issue with it that I can think of it the lack of reporting without asking. When I login to a site, I already want to see the most applicable information without having to ask for it. If I exclusively have to start asking a chatbot for basic info, I may miss out on a lot of what I need to know.

factormeta 2y ago

>The gradual shift from imperative to declarative interfaces prolog, sql, chatgpt comes to mind

FrustratedMonky 2y ago

Is this basically, how to do GUI's with functional programming. And someone saw the light and it is now the future? People are always getting hung up on the "how to make a GUI if variables are immutable??". It takes a bit of getting used to, but once over the hump, it seems like GUI's are easier. See typescript, or fabulous, F#, elm, etc...

shove 2y ago

Oh we’re playing with fire alright

xuhu 2y ago
Another way of saying we're experimenting.

david_shi 2y ago

https://www.paradigm.xyz/2023/06/intents https://www.paradigm.xyz/2023/06/intents Check this out

dpim 2y ago

Since coding with Cursor, I’ve spent a lot of time thinking about how much computing interfaces have changed in such a short period of time. Just as we saw a paradigm shift from imperative to declarative interfaces, LLMs have opened the door to new kinds of interfaces. Intent-driven interfaces are already everywhere - from AI assistants processing raw data, to Arazzo for defining how APIs map to human-scale workflows, to agents capable of handling complex tasks. While the doomer view is “robots will take all our jobs”, my optimistic take is we finally have a human-centric way of interacting with machines and it’s going to supercharge our abilities

andai 2y ago
If there are two partners and one is a million times faster than the other, are they both necessary? Who is going to pay a thousand times more for a thousand times less?
- candiddevmike 2y ago
  If the faster one creates naive, hard to discover bugs, is it really faster? I don't think we understand the long term consequences (or maintenance) of LLM generated code. So far the anecdotal results haven't been great.
  - cr125rider 2y ago
    LLMs seem good at replacing off-shore and very Jr. devs. That’s about it so far. We’ll see if they can get over this current stagnation.
    - dartos 2y ago
      Do they? They just seem to replace stack overflow.
      - wpm 2y ago
        Stack Overflow rarely surfaced a solution to your particular problem, but solutions to tangential or otherwise very similar problems. You still had to reason around the posters problem context and try to see if it really matched your own. You still had to have some understanding. LLMs present a solution as if it is 100% in the context of your problem. You arrive at a solution without being forced to think at all if the solution applies to your problem. Without being forced to, many will not. I teach programming and I can tell you it is so so obvious when students are just blasting shit from ChatGPT into their submissions without thought.