billballentine.bsky.social
PhD candidate
Studying extremophiles
32 posts
78 followers
581 following
Active Commenter
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Can’t forget scihub either
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I’m a former Wesleyan undergrad, Michael Moth is a bit of a meme and we all loved to hate him but he has been kindof the goat lately
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This feels like a cloud atlas bit
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Lmao the robinhood gold credit card actually has loot boxes you can trade for points
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The R1 university I’m doing my PhD at is about to become an R_none
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He said he didn’t make it in time :/ erm ever heard of google calendar?
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I’m hoping for patricide
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Thank you pop base, I can always rely on u
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Gavin “the goat” Newsom
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Not during?
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The tank demands neon tetra
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I have 1000+ hours and still barely understand the lore lol
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Dropping a big one from the net must feel like heaven
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It feels like Bluesky is trying to be the next Twitter by moderating like elon Twitter
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It is time for Mr. Netherlands
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I don’t have my posting sea legs yet sorry
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Wouldn’t you like to know weather boy
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When will they add Mr. Luigi to Fortnite
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What a good shot man
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Now I am become road
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lobter hungers for the cheese
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Chat is this real
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Hell yeah let’s go Vito
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Badge of honor
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I feel a very evil aura coming from him
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You obviously haven’t seen my boys at a fiji yoga party
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Can I have one
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Success is in the eye of the skeetposter
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Kamala lost bc she used big words
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That’s sort of what I was thinking. What if an AI was trained purely on ultrasound or MRI images? Would the bias from the techs that took the images be significant enough to harm the AI? Or what about whose images make it in the dataset? Are there ways to mitigate that type of bias?
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True, is it even possible to have bias free training data? After all, a human had to collect or make that data at some point