Christopher Suter

Midmarch

Yes! It's a beautiful, simple story and the music irresistible. There are no references to get (probably some mythology I'm oblivious to)

Panpsychism

I enjoyed David krakauer's recent visit to ML Street Talk (indeed, it rather increased my estimation of the show itself). And all of the Sean Carroll Mindscape catalogue is thoroughly enriching. I especially like the solo episodes on various topics (emergence, reality of time, crisis on physics)

idk these are definitely finite cardinals

Google Colab

Not exactly that, and doesn't have graphical DAGs, but you might find Inference Gym interesting. We host it as a "spinoff" of TFP (it's maintained by a TFP maintainer).

Github: github.com/tensorflow/p...
Tutorial Colab: colab.research.google.com/github/tenso...

It's tired, Vince what do you want

ChatGPT - ASCII Groucho Marx Shared via ChatGPT

Closely related, I was dissatisfied, a while back, with all available models' renderings of ASCII Groucho Marx (e.g. chatgpt.com/share/67babe...)

I think "see" is doing a lot of work in Vince's assertion.

Did Irving B's outie do this

Megumi Noda got it

Was gonna say 45² and then I felt kinda sick

Also "Don't Think Twice it's Alright"

the story of multi-shot continuations in haskell is fun. i can't fathom what the C++ equivalent would entail 🫣

I have no idea what OR is and at this point I'm too afraid to ask

Hmu if you get into Naesseth and want to talk SMC sometime!

The devil is in the details, of course. SMC is kinda magical and its analysis is (to me) very challenging. I know how to use it but I don't grok why it works (or, more importantly, how and when and why it fails). I'm hopeful this book provides alternative perspectives that make it clearer.

runs the dynamics forward to get a future distribution. F-K seeks to invert this procedure. It succeeds by employing the path integral approach that Feynman and others popularized in QFT. IIUC this in turn lends itself to MC simulation methods.

I understand this book as drawing a connection between particle methods like SMC and the path integral formulation of QFT. IIUC Feynman-Kac is to inverse problems (eg bayesian inference) as Focker-Planck is to simulation. For given dynamics, F-P takes an initial distribution and...

I'll have to check that out. I read permutation city years ago. Good stuff

I suspect at bottom it's computation (whatever that means). But hey I'm just a drunk under a street light...have you seen my keys?

I think if we're talking about precision of measurement, then energies at small scales become important. But if we're just talking about, say, storing digits of π to higher and higher precision, I suppose we can just keep making more and more black holes to store them all.

I keep thinking about this post. I don't entirely understand what you're asking, but I think the answer has to be "we don't know"? High precision => small length scales => high energies. At some point you need a quantum theory of gravity. Maybe this is what you were getting at.

Elements of SMC is a fantastic resource. I'm currently trying to grok its second-cousin once removed, "Feynman-Kac Formulae" (del Moral, 2004). I'm interested in the alternative perspectives it brings. It's nowhere near as approachable as Elements though.

YouTube video by Institut des Hautes Etudes Scientifiques (IHES) Mikhael Gromov - 1/6 Probability, symmetry, linearity

This series: youtu.be/aJAQVletzdY?...

Maybe I'll give it another try.

Ahhh no it was Gromov

I remember watching some hard-(for me)-to-follow lectures by Arnold (I think?) advocating a sort of combinatorial approach to entropy. Having trouble finding it now. Are you familiar?

Nicely put. Similar to the interpretation in terms of codes, but a bit more direct.

YouTube video by MartSnack Beating every possible game of Pokemon Platinum at the same time

Not entirely related but truly fascinating: youtu.be/jNMWkD5VsZ8?...

Ugh I've been trying to watch my fugar intake