Anil Kumar

@otter.bsky.social

I am a messenger.

Here 🧵⤵️ is an attempt at slightly expanding what the super simple description of the counterexample to the Jacobian conjecture means, originally written in reply to @tucek.bsky.social on the Musky place. I assume knowledge of what projective space and homogeneous coordinates are. •1/12

Screenshot of a tweet by Andy Jiang, dated 2026-07-20. Text reads: «
GPT:
Take π: P¹ × Sym²(P¹) → Sym³(P¹), (p, {q,r}) ↦ {p,q,r}. 
R be its ramification divisor;
H ⊂ Sym³(P¹) ≅ P³ be hyperplane tangent but not osculating to the small diagonal; 
X := (P¹ × Sym²(P¹)) \ (R ∪ π⁻¹(H)) ≅ A³;
Y := Sym³(P¹) \ H ≅ A³.
π|X: X → Y is counterexample
»
Gro-Tsen@gro-tsen.bsky.social · 2w ago

Now this is, like, SUPER EMBARRASSING for anyone who studied the Jacobian conjecture. 🤣 The counterexample written with an explicit formula looked messy, but for any algebraic geometrist this description 🔽 is hilariously simple. This is in “HOW did we miss this” territory?

Hmm ok, well not to throw a spanner in, but I'd bet pause comes into the overton window this year, even if it's not possible. Dario and Demis literally just said it at Davos. I have a diagram I'll share with you that demonstrates why...

1/ We found that deep sequence models memorize atomic facts "geometrically" -- not as an associative lookup table as often imagined. This opens up practical questions on reasoning/memory/discovery, and also poses a theoretical "memorization puzzle."

🚨 Heads up, Pythonistas 🚨 Something exciting is coming and you won’t want to miss it...PyCon UK 2025 Call for Proposals is opening soon! 🚀🐍 If you've got an idea for a talk, a workshop, or a Young Coders' session, we want to hear from you! 📝✨ 👀 Stay tuned 👀 #PyConUK2025 #python #development #CFP

🚨 New Preprint!! LLMs trained on next-word prediction (NWP) show high alignment with brain recordings. But what drives this alignment—linguistic structure or world knowledge? And how does this alignment evolve during training? Our new paper explores these questions. 👇🧵

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There’s a single formula that makes all of your diffusion models possible: Tweedie's Say 𝐱 is a noisy version of 𝐮 with 𝐞 ∼ 𝒩(𝟎, σ² 𝐈) 𝐱 = 𝐮 + 𝐞 MMSE estimate of 𝐮 is 𝔼[𝐮|𝐱] & would seem to require P(𝐮|𝐱). Yet Tweedie says P(𝐱) is all you need 1/3

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Huge congrats to @karyna-mi.bsky.social for her paper published today in Science! She found that the hippocampus is really important for a key strategy we use to make decisions called hidden state inference! 🧪 🧠https://www.science.org/doi/10.1126/science.adq5874 1/7

Hidden state inference requires abstract contextual representations in the ventral hippocampus

The ability to use subjective, latent contextual representations to influence decision-making is crucial for everyday life. The hippocampus is hypothesized to bind together otherwise abstract combinat...

science.org