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Reading abt how binary was just an “arcane form of arithmetic” when Shannon realized connection to logic. Imagine how ridiculous it seemed - “so we should adopt this silly form of adding numbers over how humans have counted for millennia? nice” What are equivalent ideas today?
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no matter how many corrective measures we implement on top, the current machine learning paradigm is fundamentally based on the assumption that the future will be more of the same. for all their biases / irrationalities, humans realize this doesn't have to be true.
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the common thread between most unethical or questionable use cases for AI (e.g. predictive policing, risk assessment): the creators have failed to ask "can the future be different from the past?"
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new favorite icebreaker question (I o/w dread the unoriginal "spirit animal" or "favorite hobby" stuff): "what was your last Amazon purchase?" makes for such good stories / actual bonding!
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Jessy Lin proslijedio/la je Tweet
It's taken a "village", and over two years of work, but we've finally pushed through to share transparent details about how well models work, and the relationship to "ML fairness" criteria.
@timnitGebru@pkbarnsey https://modelcards.withgoogle.com/Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
you know you're too deep into it when you search up "rich models" expecting statistical models but you get heidi klum instead
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Jessy Lin proslijedio/la je Tweet
Sometimes, when you meet a Nature editor at a conference and start ranting about theory and measurement, they ask you to write about it. Here's a very short thing I wrote.https://www.nature.com/articles/d41586-019-03350-5 …
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Jessy Lin proslijedio/la je Tweet
New essay, joint with
@andy_matuschak: "How can we develop transformative tools for thought?"https://numinous.productions/ttft/Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
from an analysis of ICML 2012 paper reviews: "The core difficulty is that the quality of the papers a reviewer receives varies substantially more than the reviewing tendencies of reviewers." (seems obvious in hindsight, but people rarely think about this) http://hunch.net/?p=2517
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interesting tidbit: given judges with different rating tendencies, we take it for granted that we can just normalize their scores to account for their biases, but this can _hurt_!
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https://imagenet-roulette.paglen.com/ i'm officially labeled a psycholinguist, do i get my phd nowpic.twitter.com/7k2GzNufZG
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one of those reads that makes you go "woaaahhh science"https://medium.com/conversations-with-tyler/tyler-cowen-ed-boyden-neuroscience-3907eccbd4ca …
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Things like this make me so excited / frustrated at the same time about progress in understanding our own biology—feels like software's finally at the pt we can do sth, but we lack the hardware / measurement tools (instead we get Fitbit/"log how you feel")http://cowboy.vc/blog/?p=158
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this was really cool — re: how we think when we interact with others. step 1 is finding values that guide the way we relate to people; step 2 is realizing your very belief in / adherence to those values is a policy itselfhttps://meaningness.com/cofounders-in-relationship …
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kind of interesting in general how it seems in fashion to make evolutionary arguments for everything -- so many things I'm recommended nowadays have this flavor of analysis
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Along the lines of all these popular books (Sapiens, Elephant in the Brain, etc.) about how human nature manifests in politics / society, Bertrand Russell on the very same topic >60 years ago: https://www.nobelprize.org/prizes/literature/1950/russell/lecture/ … (thanks
@kshithappens!)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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