xuan (ɕɥɛn / sh-yen)

@xuanalogue.bsky.social

Assistant professor at NUS. Scaling cooperative intelligence & infrastructure for an increasingly automated future. PhD @ MIT ProbComp / CoCoSci. Pronouns: 祂/伊

Kudos to #ICLR2027 PCs for taking strong actions 👏 I like they keep it open to new people, mitigating a risk of "AI slop" Submission cap should be much lower, say 5 papers per author, unless their contribution is significant and they offer quality review workforce accordingly

BildBild
Gautam Kamath@gautamkamath.com · 7d ago

ICLR 2027 has authorship quotas: - No more than 20 submissions per author - No more than 1 submission where no author has a paper previously accepted to a major ML conference From iclr.cc/Conferences/...

I wasn't able to attend #CogSci26 this year, but happy to share that a paper I presented there two years ago is now published in journal-length form 😊 The paper studies how people can rationally infer others' goals in open-ended spaces, and yet do so rapidly and spontaneously.

Topics in Cognitive Science
Original Article
Open Access
Infinite Ends From Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals
Tan Zhi-Xuan, Gloria Kang, Vikash Mansinghka, Joshua B. Tenenbaum

Open-ended goal inference as top-down Bayesian filtering of bottom-up proposals. We model inference in open-ended goal spaces as the combination of two processes: (a) Bottom-up sampling—you (observer) see your friend (agent) enter the kitchen and come up with several plausible goals (making tea, getting a snack, grabbing drinks, checking the pot, and so on) based on the context cue that your friend is in the kitchen. (b) Top-down filtering—your friend opens the fridge, which would be irrational if they were making tea or checking the pot; these goals are hence filtered out as poor explanations. By repeating these processes as actions unfold, we can model how people draw broadly rational inferences about others' goals even when the space of possibilities is infinite or just too large for explicit enumeration.

Looking forward to catching up with AI safety/alignment folks and giving a couple of talks at the Center for Human-Compatible AI workshop this week! Also back in Cambridge/Boston after the workshop until early July, if anyone wants to chat :)

BildBildBild

🧵🧵🧵 At this point, I think it's only reasonable to fully expect some sort of major and unpleasant AI-caused economic disruption and popular backlash in the next year or two. I'm just not sure which kind.

I spent the last 2 months trying to prevent this. If OpenAI offered a fig leaf, Google said "imagine we offered a fig leaf." Google affirms it can't veto usage, commits to modify safety filters at government request, & aspirational language with no legal restrictions. Shameful.

Bild

Happy Trans Day of Visibility! 🏳️‍⚧️ This is my first TDoV since moving back to Singapore, and the 12th since I began my transition. It's been a long and sometimes difficult journey, but somehow I've ended up as the first (to my knowledge) publicly out trans professor in the Singaporean academy (cont.)

Bild

Check out this recent @nature.com paper reporting a field experiment on X. It shows X's algorithm boosts conservative content and downranks traditional media—shifting users’ views on key issues. Switching to chronological doesn’t reverse the effect. www.nature.com/articles/s41...

The political effects of X’s feed algorithm - Nature

Among users initially on a chronological feed, 7 weeks of exposure to X’s algorithmic feed in 2023 shifted political attitudes and account-following behaviour in a more conservative direction compared...

nature.com

just had my first encounter with rice weevils that I recall being aware of, and I am simultaneously upset at the fact that: - there were bugs suddenly crawling out of my rice - I have probably already eaten them previously - apparently this is not especially uncommon with rice bought here 😖

this prompted me to reread my 1st year college essay on whether proper names w diff. referents are more like indexicals ("I", etc.) vs. homonyms, and I totally forgot I made all these crazy diagrams despite not having taken a philosophy class before truly doomed to be analytic-philosophy-brained 😅

BildBild
Josh Habgood-Coote@impractknow.bsky.social · 6mo ago

Fucked up philosophy of language views: - names are like nouns but they don't take articles, so they're mass nouns. 'John' refers to Johnny stuff

as I'm revising my course materials, I keep stumbling upon cool @mc-stan.org developments. Current favorites: 1. your model has funnels and you exhausted reparametrization ideas: metric = "dense_e" makes your HMC learn about covariance btw parameters. Sloooow, but effective! 1/

One of the earlier feminist lessons I had to learn in life was how to cut off friendships with sexual abusers (+ their friend groups). I unfortunately had to learn this in high school, but with all the Epstein stuff coming out, I'm reminded that most haven't learned this at all.