Eddy Keming Chen

Grateful to @thebjps.bsky.social for featuring our recent paper and making it free to read! Glad to see philosophy of science in the news!

Excited to give a talk on observation typicality at the Centre for Quantum Information and Quantum Control (CQIQC, U of Toronto)! Looking forward to meeting Aephraim Steinberg and colleagues to discuss quantum foundations.
Event page: cqiqc.physics.utoronto.ca/events/quant...

Toward universal steering and monitoring of AI models Artificial intelligence (AI) models contain much of human knowledge. Understanding the representation of this knowledge will lead to improvements in model capabilities and safeguards. Building on adva...

A super interesting paper on universal steering of AI models just appeared in Science, with striking evidence for the Linear Representation Hypothesis. Congrats Misha Belkin and coauthors!
www.science.org/eprint/URRDN...

Grateful to @apaphilosophy.bsky.social for highlighting my @nature.com Comment coauthored with Mikhail Belkin, Leon Bergen, and David Danks. We argue that the artificial general intelligence (AGI) has arrived, and the evidence is clear.

Here's a paywall free link to the article: rdcu.be/e1Vgn

Typical Quantum States of the Universe are Observationally Indistinguishable | The British Journal for the Philosophy of Science: Vol 0, No ja

Links to our paper: journals.uchicago.edu/doi/10.1086/...
arxiv.org/pdf/2410.16860

Thanks to Karmela Padavic-Callaghan @kpc.bsky.social for the wonderful writeup, and to JB Manchak @manchak.bsky.social, Sheldon Goldstein, and Emily Adlam for sharing their perspectives.

My paper with Roderich Tumulka is featured in
@newscientist.com!
We prove that the quantum state of the universe is, in a sense, fundamentally unknowable. Nature keeps its deepest secrets.

Incredible! Thanks for sharing it with me. I'm very impressed by the analogy "I'm rain, not a river."

For the first time in human history, we are no longer alone in the space of general intelligence.

Recognizing current LLMs as AGI and as fulfilling the vision of machine intelligence set out by Turing is a wake-up call. These systems are not on the horizon; they are here.

Our thesis: insofar as individual humans have general intelligence, current LLMs do, too.

The vision of human-level machine intelligence laid out by Alan Turing in the 1950s is now a reality. Eyes unclouded by dread or hype will help us to prepare for what comes next.

Does AI already have human-level intelligence? The evidence is clear The vision of human-level machine intelligence laid out by Alan Turing in the 1950s is now a reality. Eyes unclouded by dread or hype will help us to prepare for what comes next.

Does AI already have human-level general intelligence (AGI)?
Our answer in @nature.com today: Yes, AGI has arrived. The evidence is clear.
www.nature.com/articles/d41...

Excited to give "AI Meets Philosophy of Science" talks in Arizona—today at @arizonastateuni.bsky.social , next Fri at
@uarizona.bsky.social . Why does ML work so well? I argue it reveals abundant learnable structure in nature, motivating an expanded view of laws beyond fundamental physics.

Very happy to share that my paper coauthored with Rodi Tumulka has been accepted for publication in The British Journal for the Philosophy of Science!
The result was unexpected and points to fundamental limits on knowledge in a quantum universe. arxiv.org/abs/2410.168...

Very cool! Thanks for sharing this; looking forward to reading it during the holiday!

What a great idea!!

Heading to my first NeurIPS, this time right here in San Diego! Lots of great sessions related to AI foundations! neurips.cc

The simplicity of physical laws Physical laws are strikingly simple, yet there is no a priori reason for them to be so. I propose that nomic realists—Humeans and non-Humeans—should recognize simplicity as a fundamental epistemic gu....

My paper, “The Simplicity of Physical Laws,” is now out in Noûs. One of the hardest problems I’ve worked on. The solution came as a surprise. It’s also shaping my current thinking about the foundations of AI.
Link: onlinelibrary.wiley.com/doi/10.1111/...

Very impressive!!

That's wonderful news, Nicole! Congratulations!!!

Jeffrey A. Barrett & Eddy Keming Chen, Algorithmic Randomness, Exchangeability, and the Principal Principle - PhilPapers We introduce a framework uniting algorithmic randomness with exchangeable credences to address foundational questions in philosophy of probability and philosophy of science. To demonstrate its power, ...

New preprint with Jeff Barrett! We derive the Principal Principle—rational credence should match known chance—without circularity.
Key idea: statistical constraint laws (algorithmic randomness) + exchangeable priors (inductive assumptions) → PP.
philpapers.org/rec/BARARE-9

New paper with Jeff Barrett coming out in @thebjps.bsky.social !
We develop new notions of probability and probabilistic laws. Years in the making.

Next: a natural proof of the Principal Principle.

Link: philpapers.org/rec/BARARA-17

Excited to be giving a talk on philosophy of science and foundations of AI at the National University of Singapore, hosted by the Department of Philosophy. It’s a special occasion for me—NUS is where I began my philosophical training as an undergraduate 15 years ago.

Looking forward to talking about exchangeability, algorithmic randomness, and the Principal Principle tomorrow at the Institute of Data Science at the University of Hong Kong! (Joint work with Jeff Barrett)

YouTube video by Curt Jaimungal Do The Laws of Physics Exist?

Debating laws of physics + metaphysics with my former PhD supervisor Barry Loewer on Theories of Everything. Plenty of disagreements, but always learning!

Watch here: www.youtube.com/watch?v=xZna...

Just finished a semester-long reading group on my book with the All Milan History & Philosophy of Physics group, thanks to the amazing Silvia De Bianchi. Incredible discussions on laws of nature, simplicity, and cosmology. Grateful for the sharp questions & insights!

Mathematicians Crack 125-Year-Old Problem, Unite Three Physics Theories A breakthrough in Hilbert’s sixth problem is a major step in grounding physics in math

Lofty Math Problem Called Hilbert’s Sixth Closer to Being Solved www.scientificamerican.com/article/loft...

Had the privilege to visit Armin Schwartzman’s group @ucsdhealthsci.bsky.social (Halıcıoğlu Data Science Institute + Biostatistics) to talk about algorithmic randomness, exchangeability, and the Principal Principle. Great conversations on probability and AI foundations!