ai, robotics, grad school 

i've been taking robotics: ai techniques this semester and i'm actually enjoying these ai sorts of things, although it seems like 95% of getting these things to work is in the tuning and I don't think we've been given nearly enough info how how to tune these things and I'm still not very good at it.

i find it fun how it's taking these simple sounding ideas and you write code and oh hey, look at you over there you're doing things all by yourself that's pretty cool. not sure how to apply it to my art things yet and i don't think i wanna get into robotics (so what am i going to do with learning ai things?! dunno quite yet) but it makes me wanna take the rest of the ai-related classes. i'm also appreciating how so far it feels way less stats-y than ml-related material i've come across so far (bc i never really particularly liked stats) and we don't have to download huge data sets but we'll see where this all goes.

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ai, robotics, grad school 

what i like and don't like about this robotics ai class is that if i mess around enough, i can get things working moderately well and not know quite why it works. which i guess is the case with a lot of code sometimes but also means i should probably study for the final.

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