ZT

equity qr | born too late to shitpost on Nuclear Phynance

[ZT @quantonisland]

Kudos to all middle managers out there. You did the most work with least recognition. Hopefully luck is in your favor and you escape the grind

[ZT @quantonisland]

@othadoh @EffMktHype “I was never really out-of-office, it was just two hours lunch with my mates”

[david @sdav1986]

Macro in Athens makes a lot of sense.

Macro traders are basically like Sisyphus: spend all day trying to predict the next move only for it to roll back down the hill for you.

[Mehdi (e/λ) @BetterCallMedhi]

go fuck yourself @sama

claiming that you solved navier stokes because 10000 agents ran in circles for 88hours on a multimillion dollar gpu cluster to formalize in lean a blowup case under controlled external forcing is pure scientific vulgarity the clay mathematics institute millennium prize does not ask m whether you can artificially force a singularity in a fluid by injecting an ad hoc smooth external forcing term f(x,t) to twist the vortex until it breaks the real problem questions the fundamental stability and global smooth existence for 3dimensional incompressible euler & navier stokes equations under natural conservation laws and viscous dissipation alone using a mathematical loophole on forced equations to parade a century old victory is a major conceptual scam Altman

technically & epistemologically what you present as an agi breakthrough is nothing more than bruteforce combinatorial autoformalization the ai did not understand fluid mechanics it simply navigated a continuous search space previously mapped out and constrained by the monumental work of human mathematicians like tristan buckmaster/ levent alpöge / diego córdoba or tarek elgindi coordinating 10000 agents to check the logical consistency of a 100 page proof via lean is a software engineering feat and computational parallelization triumph not an intrinsic scientific discovery it is the victory of the compute bulldozer over abstract human intuition repackaged for the public as a higher mathematical consciousness

to this theoretical imposture you add a disgusting ethical and industrial cynicism taking advantage of private codex sessions and informal preprints from academic researchers to siphon their research leads and then trying to redact or erase the contribution of levent alpöge under the pretext that he works at rival anthropic is intellectual serfdom openai behaves like a feudal lord of silicon appropriating the cognitive subsistence of independent scholars threatening their careers behind closed doors if they protest and turning community academic labor into a privatized pressrelease

this entire staged event serves a desperate financial agenda in a pre ipo panic facing the slowdown of scaling laws and growing investor skepticism over the profitability of foundational models openai needs to manufacture an artificial sputnik moment claiming to solve a millennium prize without immediately submitting the proof to traditional peer review means using the prestige of fundamental mathematics as cheap marketing fuel to inflate a delusional valuation!!!

real science is not a clout chase on social media or a compute spike spent to rob the clay mathematics institute it is a quest for elegance physical truth and universal rigor to decode reality true artificial intelligence will not emerge from hostile corporate takeover of academic work hidden behind computational bruteforce but from architectures capable of generating new conceptual paradigms by masquerading constrained formalization as the collapse of physics greatest mysteries you did not solve navier stokes you only proved how far silicon valley will go to prostitute scientific integrity for capitalist spectacle

[ZT @quantonisland]

@systematicls Very Camus 👍🏼

[ZT @quantonisland]

@andrewho03 @christinaqi Hi

[ZT @quantonisland]

@DRTnky I literally went because you posted this lol. Thanks for rec 🙏

[ZT @quantonisland]

@Merridew__ Universe giving you more runway. Now… remember to keep the ETF rebal manual :)

[Sam Rose @samwhoo]

This might be the most beautiful thing I've read in my life. What a privilege to be alive in 2026.

https://t.co/07BtpKswBu

[ZT @quantonisland]

Crazy discourse here.

I have native-level mandarin proficiency and I would never spend 9 months learning the most difficult language in the world with the possibility to misunderstand my grandfather’s intimate words. LLM is the right use case.

[kyle qian @qualiaspace]

my grandfather wrote a memoir that I couldn't read

after he passed, I tried to learn Chinese but progress was slow

this year, I translated it with AI and designed a bilingual edition. it turned out way better than I could have imagined

[David Sun @arcticinstincts]

The Social Contract: Singapore (2026 edition)

[ZT @quantonisland]

@visakanv Visa, thank you for merging my two universes in one, you’re the bridge of East and West 🫡

[ZT @quantonisland]

@LowAlphaHighVol @ethanrkho Still their insurance/actuary background is quite unique. I don’t know any other fund with similar background

[ZT @quantonisland]

@FangYi11101 @soorajrup @ArbStHubert It’s crazy Zhou and Jain is 12 years old now!! No new books, funds have gotten so strong in enforcing NDAs since then

[1a3orn @1a3orn]

Somehow, the US Government in both 1926 and 2026 --
"We have to shut down illegal distillation of the most powerful spirits."

[Andrew Conner @connerdelights]

Terence Tao posted his ChatGPT session trying to understand the Jacobian conjecture counterexample. It's so lovely reading a slice of how his mind works, the connections he's making, etc.

https://t.co/wu6CcAk3V6

[ZT @quantonisland]

@arthur0x Time to update pfp!

[ZT @quantonisland]

@visakanv @mykola The preschool phase will go past! Just think of it as immunizing your kid

[Yet another commodity guy @tleilax___]

A lot of capital in stocks is traded based on relatively simple factor models and formulaic alphas/regressions.

Those factors are built by mining commercial datasets.
Formulaic alphas are built though a mixture of experience, reinforcement learning and now more LLMs and genetic programming.

Essentially figure out the market drivers, then aggregate a bunch of weak alphas that individually would not beat trading costs, but as an ensemble do perform well enough.

This traditionally has been done at scale by hiring armies of quants and data scientists in slightly cheaper locations where the mathematic training is quite good, like Paris or Budapest.

The alphas are then published by the quants and the portfolio managers pick them up in strategies. The quant are paid bonuses in relation to the orthogonal alpha they contributed to the PM's strategy performance.

Most of the big names in the sector are running organizations based on those principles. WorldQuant, QRT, Cubist, you name it. I call it the "weak alpha ensembling" approach.

This business model is about to be severly disrupted by AI-led reinforcement learning harnesses and will give an opportunity to "strong alpha stacking" approaches to make a comeback.

[ZT @quantonisland]

@kunley_drukpa I guarantee this is non fiction, hell of a ride

[ZT @quantonisland]

@macrocephalopod @bennpeifert Would you say one assumption here is each strategy is pairwise uncorrelated? Either different trading style, or do not allow PMs speak to each other.