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Tempting, but no. I'm too busy failing at Advent of Code to start playing with chatgpt today.

by rikroots 4y ago

baq 4y ago
It has truly begun, then. I've mistaken a real human for an AI. marks the date
- shagie 4y ago
  Some time back I recall a PBS program (Nova? - though I think it was Alan Alda which would have made it Scientific American Frontiers) that had a Turing test of sorts in it. The structure of that test (this was a while back - couldn't do an unconstrained one) had a panel composed of some chat bots and some humans (10 total, though the number isn't too important). Each was limited to the area of their specialty - I think there was a chatbot that had its specialty of bartending drinks. The people evaluating them rated them on a distinct 1-10(?) scale. The question was trying to find a "what is the most human like chat bot." Part of it was that the human expert in Shakespeare was considered to be more computer like than many of the chatbots in part because of the depth of knowledge in that domain.
- passwd 4y ago
  The date where you failed a reverse Turing test. A Gnirut test, if you will.
codetrotter 4y ago
Tell ChatGPT to solve Advent of Code for you :D Like so, https://video.nstr.no/w/6z7PxB4J92H3NHhgMmfYVw https://video.nstr.no/w/6z7PxB4J92H3NHhgMmfYVw
- shagie 4y ago
  The advent of code problems have gotten beyond the "easy to solve" category. Days 5 and 6 have gotten more tricky. https://github.com/ishan0102/aoc-2022-chatgpt https://github.com/ishan0102/aoc-2022-chatgpt > Day 5: Supply Stacks > This day actually threw me for a loop because parsing the input is so challenging. After spending a while on prompting I wasn't able to produce anything meaningful. I might actually stop after today if the puzzles keep getting harder because I don't want to spend all this time messing with input parsing. This highlights some of the limitations well, we still need human input to coax the model into understanding how to break down a hard problem.
  - harshalizee 4y ago
    A little hint for parsing Day5 -- Regex is your friend.
    - shagie 4y ago
      I didn't have a problem with it... but its a "how do you get to the spot where its mostly bug fixing using ChatGPT and prompts?" For that repo (not mine - mine is over at https://github.com/shagie/AoC_2022 https://github.com/shagie/AoC_2022 ), day 5 is where they got to the point where the complexity of the description of the problem is greater than the complexity of the problem itself.

Tempting, but no. I'm too busy failing at Advent of Code to start playing with chatgpt today.

baq 4y ago

It has truly begun, then. I've mistaken a real human for an AI. marks the date

shagie 4y ago
Some time back I recall a PBS program (Nova? - though I think it was Alan Alda which would have made it Scientific American Frontiers) that had a Turing test of sorts in it. The structure of that test (this was a while back - couldn't do an unconstrained one) had a panel composed of some chat bots and some humans (10 total, though the number isn't too important). Each was limited to the area of their specialty - I think there was a chatbot that had its specialty of bartending drinks. The people evaluating them rated them on a distinct 1-10(?) scale. The question was trying to find a "what is the most human like chat bot." Part of it was that the human expert in Shakespeare was considered to be more computer like than many of the chatbots in part because of the depth of knowledge in that domain.
passwd 4y ago
The date where you failed a reverse Turing test. A Gnirut test, if you will.

codetrotter 4y ago

Tell ChatGPT to solve Advent of Code for you :D Like so, https://video.nstr.no/w/6z7PxB4J92H3NHhgMmfYVw https://video.nstr.no/w/6z7PxB4J92H3NHhgMmfYVw

shagie 4y ago
The advent of code problems have gotten beyond the "easy to solve" category. Days 5 and 6 have gotten more tricky. https://github.com/ishan0102/aoc-2022-chatgpt https://github.com/ishan0102/aoc-2022-chatgpt > Day 5: Supply Stacks > This day actually threw me for a loop because parsing the input is so challenging. After spending a while on prompting I wasn't able to produce anything meaningful. I might actually stop after today if the puzzles keep getting harder because I don't want to spend all this time messing with input parsing. This highlights some of the limitations well, we still need human input to coax the model into understanding how to break down a hard problem.
- harshalizee 4y ago
  A little hint for parsing Day5 -- Regex is your friend.
  - shagie 4y ago
    I didn't have a problem with it... but its a "how do you get to the spot where its mostly bug fixing using ChatGPT and prompts?" For that repo (not mine - mine is over at https://github.com/shagie/AoC_2022 https://github.com/shagie/AoC_2022 ), day 5 is where they got to the point where the complexity of the description of the problem is greater than the complexity of the problem itself.