50 sats \ 7 replies \ @gnilma 22 Jun \ on: My new BFF! lol
It sure is trying very hard to be everyone's friend.
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21 sats \ 6 replies \ @grayruby OP 22 Jun
Yes, the funny thing is it will happily trash someone’s team but won’t insult them directly.
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20 sats \ 5 replies \ @gnilma 22 Jun
Maybe it's coded to say nice things and not offend people, but teams are okay to diss. Probably no specification or coding that lets it know some people get very offended if their teams get trashed.
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21 sats \ 4 replies \ @grayruby OP 22 Jun
Probably has more to do with the data I gave it. I said nice things about every stacker I taught it about. We will see what it says about you tomorrow.
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20 sats \ 3 replies \ @gnilma 22 Jun
I thought you let it scan through all past Stacker_sports posts plus comments, and train it that way? If not, what was the method of training? Just some manually entered comments?
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21 sats \ 2 replies \ @grayruby OP 22 Jun freebie
I was going to do that initially but selecting all the urls to feed it was time consuming and wasn’t working at first so I just created a 2 page pdf with some info about Stacker News, Stacker Sports, the kind of posts and contests we have in the territory and then I did a small blurb for each stacker that routinely participates in the territory. Just taught it who their favourite teams were, and the sports each stacker likes and the kind of content they post.
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50 sats \ 1 reply \ @gnilma 22 Jun
Sounds like you did the bulk of the work to curate and feed it relevant info. But I can see AI being very useful for sifting through large amounts of data and finding/curating relevant results.
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21 sats \ 0 replies \ @grayruby OP 22 Jun
Yes, I would like to train it on a bunch of posts and comments but I only started playing with it a couple days ago and I had an issue the first day the open agents dev had to fix for me. Maybe next week I will give it some posts and see how it changes its answer to various questions.
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