Ian Langmore

Applied Mathematician, probabilist, software engineer.

[Nico Perrino @NicoPerrino]

This is a dream role for any lawyer interested in tech and free speech, and who wants to work across litigation, legislative & policy, and communications.

[Ian Langmore @langmore]

@0bytematt @samhogan How do I get to call myself a stallion engineer?

[FIRE @TheFIREorg]

Last night, FIRE filed a friend-of-the-court brief with the U.S. District Court of Northern California arguing the Department of War's retaliatory designation of Anthropic as a supply chain risk violates the First Amendment.

@EFF, @CatoInstitute, @ProgressChamber, and the First Amendment Lawyers Association joined FIRE on the filing.

[Nico Perrino @NicoPerrino]

@KarenFOrlando @TheFIREorg We irritate a lot of partisans by insisting on the consistent protection of free speech.

[Ian Langmore @langmore]

@ryanweather The euro disagrees though right?

[Jonathan Weisman @jonathanweisman]

The @nytimes been covering this since 2022.
https://t.co/ojSYXgFKNG
https://t.co/IZ7sjHYWD2
https://t.co/s1PKr25jU8
https://t.co/YhHSQlsrdt
https://t.co/IuSx9iQ8WG

[Ian Langmore @langmore]

@elonmusk You can easily see this is false with a quick web search. @elonmusk why are you so obviously dishonest? Who are the idiots who believe you?

[Nate Silver @NateSilver538]

I first read about it in The New York Times a month ago.
https://t.co/sT7d7F24T8

[Peyman Milanfar @docmilanfar]

to really understand a scholar's thinking, read their single-author articles

[Statistics (Machine Learning) Papers @StatsPapers]

Moment Expansions of the Energy Distance. https://t.co/zJvplUCZrw

[arXiv math.PR Probability @mathPRb]

Ian Langmore: Random Field Representations of Kernel Distances https://t.co/cXxsoRFDUH https://t.co/wSQSYKeJx0 https://t.co/WlRQ8AhKEB

[Ian Langmore @langmore]

...for the weather forecast work (NeuralGCM, https://t.co/tG9kH6rXZP…) that inspired the original question.

[Ian Langmore @langmore]

This week I posted two papers to arXiv. They were motivated by the question, “what does the energy distance do in high dimensions?” The first is a pretty straightforward attempt: Moment Expansions of the Energy Distance. https://t.co/jv0VpwNHdL

[Ian Langmore @langmore]

Working on this second paper led me to some of the most interesting math I’ve ever done. Thanks to Srinivas Vasudevan for leading the stochastic processes reading group, and former teammates @dkochkov1, @janniyuval, @shoyer

[Ian Langmore @langmore]

@mattyglesias I love stories about me

[Ian Langmore @langmore]

@sama Here's another: Hype man, wants to raise money

[Ian Langmore @langmore]

@ryanweather Some models have this issue, and some don't. The ones that do have the issue trained to MSE or MAE. The ones that don't used a probabilistic loss.

[Physics In History @PhysInHistory]

Mathematics is not a careful march down a well-cleared highway, but a journey into a strange wilderness, where the explorers often get lost. Rigour should be a signal to the historian that the maps have been made, and the real explorers have gone elsewhere.

- W. S. Anglin, as mentioned in Mathematical Intelligencer, 1992

[Ian Langmore @langmore]

@Azizzadenesheli I would argue that rmse is actually a misleading metric for 10-day forecasts. It makes the blurry ml forecasts seem to perform better than a sharp, realistic, hres forecast. I would recommend putting images of the different 10-Day forecasts into the paper, so people can see.