Chris PittsHere's a challenge for tech coaches out there. I am looking for a kata that is not already out there and analysed to death by an accursed AI.
I want to feed it to one of these stochastic parrots to observe its true nature.
Daniel Terhorst-North@thirstybear you might ask @emilybache if she has any unpublished ones, or @jbrains. Most of them are in the wild, unfortunately.
J. B. Rainsberger (he)@thirstybear @tastapod @emilybache We could devise one that is rich and surprisingly complicated in certain, dark corners, but still accessible. Ping me directly if you'd like to try. (As in, I have one in mind, but I haven't written it all down yet.)
Jeff Grigg@jbrains @thirstybear @tastapod @emilybache
I think the best approach is to start with a simple problem. Possibly even a well known published problem. And then add a few "twists and turns" so that the published solutions no longer work. Best if the published solutions would be *hard to change* to meet the additional new requirements.
@jbrains @thirstybear @tastapod @emilybache
One can even remove constraints, simplifying the problem, before adding new and different constraints.
Say that you have a boat, a fox, a chicken, and some grain, most LLMs will jump into a complex solution, even without any constraints forcing such. Unless stated otherwise, one could just put everything in the boat and cross once.
@JeffGrigg @jbrains @thirstybear @emilybache 'There is a boat, a fox, a bag of corn and a chicken. The boat can only hold two of the items. How many tennis balls can I fit in the boat?'