ujval
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ujval.bsky.social
ujval
@ujval.bsky.social
CS PhD student @ucberkeley, visiting @cornell_tech || security, privacy, tech law, ethics etc || https://ujval.co/ || @_ujval on the bird app
zohran beating cuomo
July 16, 2025 at 1:22 AM
would love to get philosophers engaging with aspects of the debate I find most interesting here—esp those that I think economists tend to overlook. will try to write about it at some point (low on my priority list as a computer scientist but high on it as a political junkie living in NY)
June 26, 2025 at 11:50 PM
oh yeah that’s essentially what I meant (i.e that it’s dealing with a super weak argument, not necessarily an artificially constructed / misrepresented one) my b
June 26, 2025 at 10:59 PM
of course, I’m sure you did and are
June 26, 2025 at 10:40 PM
but that IS what the debate is about. this thread is dealing with a strawman
June 26, 2025 at 10:30 PM
not to be taken lightly, podcasters are some of the most powerful people in the world right now
June 20, 2025 at 8:10 AM
very relatable totally understood 👍
May 16, 2025 at 9:12 PM
these models always start simple so that you can prove nice theorems about them, they’re not meant to represent the real world but they do usually intend to build some intuition. they are also useful independently of whether they represent reality or not (like thought experiments)
May 16, 2025 at 9:01 PM
I say this too often but I think it’s relevant here: every philosopher, economist and computer scientist should read Amartya Sen, that might get us all speaking the same language on ethics
May 16, 2025 at 8:53 PM
interesting! can you elaborate on / point out what you think is wrong there?
May 16, 2025 at 12:10 PM
tbf none of those examples seem to appear in actual AI/ML conferences
May 16, 2025 at 11:54 AM
Reposted by ujval
It could take another decade or two to get at the reality here. In the meantime we will certainly need to look skeptically at EdTech schemes and cheap shortcuts. But overall predictions of doom are not warranted yet.
May 10, 2025 at 2:58 PM
critical work on assumptions underlying causal inference as practiced in social sciences is also a rich area e.g. see www.cambridge.org/core/journal...
What Is Perceived When Race Is Perceived and Why It Matters for Causal Inference and Discrimination Studies | Law & Society Review | Cambridge Core
What Is Perceived When Race Is Perceived and Why It Matters for Causal Inference and Discrimination Studies
www.cambridge.org
May 9, 2025 at 1:34 AM
not sure if this fits what you’re looking for but in CS I regularly see critical work on assumptions in various forms e.g. around notions of security, privacy and fairness. here’s one relevant survey: www.annualreviews.org/content/jour...
Algorithmic Fairness: Choices, Assumptions, and Definitions | Annual Reviews
A recent wave of research has attempted to define fairness quantitatively. In particular, this work has explored what fairness might mean in the context of decisions based on the predictions of statis...
www.annualreviews.org
May 9, 2025 at 1:10 AM
Reposted by ujval
I mention Computer Science in particular because the Times happens to have an opinion piece by a Harvard CS prof who argues that there should be a firewall between the "academic and the political." He seems to think that ideology has nothing to do with his field. www.nytimes.com/2025/05/02/o...
Opinion | I Teach Computer Science, and That Is All
Politics has no place at universities or in the classroom.
www.nytimes.com
May 3, 2025 at 11:57 AM