Mason Porter

@masonporter
790 Followers
216 Following
875 Posts

Professor of Mathematics at UCLA and External Professor at Santa Fe Institute.

I am an applied mathematician (and occasional physicist) who studies networks, complex systems, nonlinear systems, and their applications.

Websitehttp://www.math.ucla.edu/~mason/
GamesBoard games
RPGsDungeons & Dragons
BaseballLos Angeles Dodgers
Mason PorterMar 29
Peter GassnerMar 22
“Researchers measured autistic people against neurotypical expectations and called every difference a deficit. They tested empathy by measuring in-group preference and missed commitment to universal fairness. They measured creativity by counting the number of ideas and missed originality. They saw moral consistency and called it rigidity. They saw deep engagement and called it rigidity. They saw sensory richness and called it disorder.”
https://www.psychologytoday.com/us/blog/positively-different/202601/what-the-world-got-wrong-about-autistic-people
What the World Got Wrong About Autistic People

For decades, autism research compared autistic people to animals, denied them moral sensitivity, and assumed autistic traits made them miserable. All wrong.

Psychology Today
Mason PorterMar 12
Here is the published version of our paper "Bounded-confidence opinion models with random-time interactions" (by Weiqi Chu and me): https://www.math.ucla.edu/~mason/papers/weiqi-PRE2026.pdf
Mason PorterMar 8
Philipp Markolin ☑️Mar 7

So I started this thing where we interview some high profile academics, science communicators, science activists and science journalists that currently fight against anti-science.

First few episodes in, and I think more people should come togeher for #science & #democracy

Ep1: Peter Hotez & Mike Mann
https://www.youtube.com/watch?v=O4PFGQFm5ZQ

Ep2: Dave Farina
https://www.youtube.com/watch?v=F2fhLAZd250

Ep3: Colette Delawalla (Stand up for Science)
https://www.youtube.com/watch?v=KDTtXeymuT0

Ep4: Steve Lewandowsky
https://www.youtube.com/watch?v=nHz3SXsJb_E

Enjoy

Mason PorterFeb 18

Here is an XKCD 2501 generator: https://marshdeer.github.io/xkcd2501-generator/

Below is an example that I made.

(h/t Valdis Krebs)

Mason PorterFeb 18
aburka 🫣Feb 17
RE: https://lgbtqia.space/@dianea/116083673458174334
Mason PorterFeb 16

I wonder how large a deciMason (dM) is?

I think that I'll use it as a unit of sarcasm.

Puns intended.

Mason PorterFeb 10
Tammy KoldaFeb 10

Please help promote this project called "First Proof" led by Mohammed Abouzaid (Stanford), Nikhil Srivastava (Cal), Rachel Ward (UT Austin), and Lauren Williams (Harvard). The goal is to understand the capabilities of AI systems on problems that come up in math research. We have a collection of research problems for which solutions have not yet been posted online, so it's a good testbed. The solutions will come out in just one week. Take a crack at it! #FirstProof #1stProof

https://arxiv.org/abs/2602.05192

First Proof

To assess the ability of current AI systems to correctly answer research-level mathematics questions, we share a set of ten math questions which have arisen naturally in the research process of the authors. The questions had not been shared publicly until now; the answers are known to the authors of the questions but will remain encrypted for a short time.

arXiv.org
Mason PorterFeb 7

I am never forget the day I first try the ChatLobachevsky.
In two words it showed me secret of success in mathematics:
Use AI!

Use AI!
Don't do the work with your own brain and eyes.
Remember yes to cleverly disguise.
And be quick; time flies!
So use AI, use AI, use AI ---
Only be sure always to call it please "research".

(With apologies to Tom Lehrer, of course: https://tomlehrersongs.com/wp-content/uploads/2018/12/lobachevsky.pdf)

Show threadMason PorterFeb 6
Authors: Mohammed Abouzaid, Andrew J. Blumberg, Martin Hairer, Joe Kileel, Tamara G. Kolda, Paul D. Nelson, Daniel Spielman, Nikhil Srivastava, Rachel Ward, Shmuel Weinberger, Lauren Williams
Mason PorterFeb 6

Abstract: "To assess the ability of current AI systems to correctly answer research-level mathematics questions, we share a set of ten math questions which have arisen naturally in the research process of the authors. The questions had not been shared publicly until now; the answers are known to the authors of the questions but will remain encrypted for a short time."

https://arxiv.org/abs/2602.05192

[author list in next post in thread]

First Proof

To assess the ability of current AI systems to correctly answer research-level mathematics questions, we share a set of ten math questions which have arisen naturally in the research process of the authors. The questions had not been shared publicly until now; the answers are known to the authors of the questions but will remain encrypted for a short time.

arXiv.org