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This is not unlike the magic of a Jupyter notebook except that you mostly just write the markdown and Chat does away with a lot of the tedium/boilerplate. "Pro

This is not unlike the magic of a Jupyter notebook except that you mostly just write the markdown and Chat does away with a lot of the tedium/boilerplate. "Prompt engineering" ChatGPT English in this case is like a new higher order programming language. Prolog meets Ruby. A Haskell for mortals. No more counting parentheses or semicolons which turns away a lot of people from coding. I guess that is magical, yeah.

EGreg 4y ago
People don’t realize that if all you need is prompt engineering then actually you’re one step away from it not needing you at all. Just consider all the prompts ever entered as just another set of data ;-)
- HopenHeyHi 4y ago
  A more advanced compiler is not necessarily sentient just because no traditional lexers/parsers are involved. It is shelling out to already written libraries and tools, which it didn't create, and doesn't know itself to glue without your explicit direction. I suppose the next intriguing step is for it to not just spew the boilerplate but pick on its own what are the best components to connect - hard to predict how far away that might be.
  - ngngngng 4y ago
    > I suppose the next intriguing step is for it to not just spew the boilerplate but pick on its own what are the best components to connect - hard to predict how far away that might be. There are already working demos of ChatGPT writing incorrect code, running the code and seeing the incorrect output multiple times, and then iterating until the code worked. AI can write and rewrite infinitely, thousands of times a day, until it gets the desired result, learning and refining it's own process as it goes, and being fine tuned with human feedback. This is especially true in something completely digital like programming where it's possible for the AI to run the code and use the output as its next prompt. At the moment it needs human feedback to know if the art it just generated is garbage, but the code it can test itself.

EGreg 4y ago

People don’t realize that if all you need is prompt engineering then actually you’re one step away from it not needing you at all. Just consider all the prompts ever entered as just another set of data ;-)

HopenHeyHi 4y ago
A more advanced compiler is not necessarily sentient just because no traditional lexers/parsers are involved. It is shelling out to already written libraries and tools, which it didn't create, and doesn't know itself to glue without your explicit direction. I suppose the next intriguing step is for it to not just spew the boilerplate but pick on its own what are the best components to connect - hard to predict how far away that might be.
- ngngngng 4y ago
  > I suppose the next intriguing step is for it to not just spew the boilerplate but pick on its own what are the best components to connect - hard to predict how far away that might be. There are already working demos of ChatGPT writing incorrect code, running the code and seeing the incorrect output multiple times, and then iterating until the code worked. AI can write and rewrite infinitely, thousands of times a day, until it gets the desired result, learning and refining it's own process as it goes, and being fine tuned with human feedback. This is especially true in something completely digital like programming where it's possible for the AI to run the code and use the output as its next prompt. At the moment it needs human feedback to know if the art it just generated is garbage, but the code it can test itself.