by neeldhara on 3/26/23, 12:21 AM with 26 comments
Here's a blog detailing the prompts used in the conversation with chatGPT: https://www.neeldhara.com/blog/13sheep/
by 8organicbits on 3/26/23, 2:23 AM
> I think I spent close to a good twelve hours (including a couple of early throw-away prototypes, and all the failed attempts on the flood filling) altogether2… at some point it did get a little addictive, and perhaps there was a sunk cost argument for not letting go halfway through.
Also very helpful, I get the sense that we're seeing lots of cherrypicked results that under report all the toil needed to get to the magic prompt that made it all work. Maybe we'll all get better at prompt engineering, but I think a lot of hype is based on that misunderstanding.
by TechBro8615 on 3/26/23, 2:41 AM
EDIT: I think I'm remembering Rodent's Revenge: https://en.wikipedia.org/wiki/Rodent%27s_Revenge
by dave333 on 3/27/23, 4:03 AM
by sylware on 3/26/23, 2:46 AM
It seems it is not that too bad for small "well-known" algorithms. I am thinking high level language "ports" toward "human" assembly.
by Waterluvian on 3/26/23, 2:52 AM
by xupybd on 3/26/23, 2:16 AM
Unfortunately the only record I can find of it is a negative review.
https://arstechnica.com/gadgets/2009/02/10-lessons-of-iphone...
by beders on 3/26/23, 6:32 AM
FTFY
by Vanit on 3/26/23, 3:55 AM
by upwardbound on 3/26/23, 1:01 AM
by Thorentis on 3/26/23, 3:19 AM
What ChatGPT did is equivalent to what a writing assistant might do who is given a list of bullet points by an author, and asked to expand them into a synopsis.
We would never say that a brick layer designed a building, or that a printer wrote a book. ChatGPT did not author this game. The rules were created by humans. The code was churned out by a machine.