Matt McDonnell
@mattmcd
Geek Code: GS/E d s: a+ C(++++) U W++ N+ w M PS+ PE Y+ X+ !tv b+++ DI+ D e++++ r++ y?
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s=[1 1 1]';n=@(a)conv2(s,s',1*a,'same')-a;lf=@(a)n(a)==2&a|n(a)==3;a=rand(128)>0.8;for ii=1:500,spy(a);drawnow;a=lf(a);end #MATLAB
new preprint: arithmetic barcodes for network sheaves over p-adic integers 🔗 arxiv.org/abs/2511.00677 persistent homology filters by geometric scale. we filter by algebraic precision instead: ℤ_p ⊇ pℤ_p ⊇ p²ℤ_p ⊇ ⋯ torsion summands ℤ_p/p^a become bars of length a,…
1/🧵 Out today in @FrontiersIn @FrontScience: “Consciousness science: where are we, where are we going, and what if we get there?" By @axelcleeremans, @Liad_Mudrik, & me (a @CIFAR_News & @ERC_Research production🧠). frontiersin.org/journals/scien…
my love-letter to the humanities: a book on mathematics & poetry. it starts with the question: "Where the Hell is Heaven?" thesis: in imagining the afterlife, poets from ancient times used the same imaginative skills that geometers and topologists use to imagine abstract…
25 years ago, I struggled with whether to do mathematics or music as a profession. Then one of my University teachers mentioned off-hand that he'd had a similar struggle, and chose as profession what would be harder to make a hobby. Now he's written a book only he could write.
my love-letter to the humanities: a book on mathematics & poetry. it starts with the question: "Where the Hell is Heaven?" thesis: in imagining the afterlife, poets from ancient times used the same imaginative skills that geometers and topologists use to imagine abstract…
Excited to announce a new side project, a power user terminal UI for your personal finances: moneyflow.dev For years I've used personal finance tools like Mint and now Monarch. The data cleaning can be slow and tedious, so I made this to speed that up!
We are launching a brand new journal. Please say hello to Applied & Computational Topology & Geometry (Link and more info below). Thanks to generous support from the @AMathRes, ACTG will be diamond open access --- completely free for both authors and readers!
We're excited to highlight ShiftedBetaGeoModel (sBG) in PyMC-Marketing v0.17.0! Predict customer retention, model cohorts, and make smarter CLV-driven decisions — all with a single Bayesian model 🧩 Check it out: dub.link/EoYryvG #PyMC #CohortAnalysis #CustomerAnalytics
I recently opened a private seminar at the Bank of England with “The most likely reason for me to be in this building is to exchange demonetized pounds while being an unbanked foreign national. Instead I am summoned to speak as a systems engineer about systemic risk.”
Patrick McKenzie's life seems to be full of insane problems where Patrick McKenzie happens to be the exact optimal person to solve them
People leaving regular companies: Time for a change! Excited for my next chapter! People leaving AI companies: I have gazed into the endless night and there are shapes out there. We must be kind to one another. I am moving on to study philosophy.
current big gap in AI capabilities: knot theory. recognizing knot types, even in"standard presentation" (from knot tables) is very difficult, even for the best models right now.
I just woke up and the first thought I had, even before kissing my wife, even before realizing I needed to go the bathroom so badly, was “I have to re-read that old survey by Gabaix on power laws in economics. It was good”. Anyway, link below. Open access. But life is really…
“Everyone knows” what an autoencoder is… but there's an important complementary picture missing from most introductory material. In short: we emphasize how autoencoders are implemented—but not always what they represent (and some of the implications of that representation).🧵
*Alice's book got a (minor) upgrade!* Thanks to the dozens of people who gave feedback, now with 1000% less typos and errors, a novel set of Colab lab sessions, and a brand-new CC-BY-SA license. 🙃 sscardapane.it/alice-book/
I can't* fathom why the top picture, and not the bottom picture, is the standard diagram for an autoencoder. The whole idea of an autoencoder is that you complete a round trip and seek cycle consistency—why lay out the network linearly?
This reminds me of the test for engineer vs non-engineer: get them to pronounce "coax" (currently rereading 'What is applied category theory?' 1809.05923 , linked tweet is footnote 8)
Last night, I was skimming through a math paper and got to the word "counts." Confused, I kept staring at the word. “Whoa. What is an unt? Is it like a unit? And what does it mean to take its dual?” So I read the sentence a second time. This is not good.
In era of pretraining, what mattered was internet text. You'd primarily want a large, diverse, high quality collection of internet documents to learn from. In era of supervised finetuning, it was conversations. Contract workers are hired to create answers for questions, a bit…
Introducing the Environments Hub RL environments are the key bottleneck to the next wave of AI progress, but big labs are locking them down We built a community platform for crowdsourcing open environments, so anyone can contribute to open-source AGI
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