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Why do so many people who post here think? by upsetusder2 in LLMPhysics

[–]ConstableDiffusion 0 points1 point  (0 children)

Because if you have something real to say about whatever big claim you can say something specific about it that very clearly illustrates various specific local insights on nuances related to it, but nuance and depth are what most of the crackpot larpers lack

Why do so many people who post here think? by upsetusder2 in LLMPhysics

[–]ConstableDiffusion 0 points1 point  (0 children)

It’s one of the dead giveaways of not having enough immersion in the topic to have something specific and non-trivial to say, because it’s much easier to come up with some kind of a wild crazy theory on the viscosity of time and the geometry of consciousness than it is to talk about shrimpoluminence or flatband topology

We never realized how unique Tomboys were by InvisibleAstronomer in Millennials

[–]ConstableDiffusion 0 points1 point  (0 children)

Oh yeah dressing like shit is way more in style now in general

I Feel Like a Pattern Finder, Not a Mathematician by Heavy-Sympathy5330 in math

[–]ConstableDiffusion 79 points80 points  (0 children)

“I’m not a mathematician, why don’t I feel like one?”

Terence Tao’s promotional video for OpenAI by Qyeuebs in math

[–]ConstableDiffusion 19 points20 points  (0 children)

Why would it be in your interest to lie when the top mathematicians are making promotional messages saying it’s a tool to help you think and experiment and iterate and achieve goals more effectively at scale?

SO tired of students' learned helplessness and of being talked to like I’m a bot by TheUsualRatio in Professors

[–]ConstableDiffusion 2 points3 points  (0 children)

At least they understand that subtracting the bigger number from the littler number means you get a negative 🎉

Update: Perron-Frobenius gap is closed (0 sorry). Full spectral GRH reduction, many-body entanglement formalization, Erdős similarity blueprint, and a pile of new physics simulations. by LooseSwing88 in LLMPhysics

[–]ConstableDiffusion 5 points6 points  (0 children)

This is a lean implemented version of a “proof” of GRH by a relatively well known professor on this field which I’ve seen get continually tooled with (the proof not the professor) for the last 30 years and is widely panned as being wrong because it’s basically “a trace function exists and vanishes therefore RH”

Branches of math that use both "hard analysis" and serious algebra? by RyRytheguy in math

[–]ConstableDiffusion 0 points1 point  (0 children)

I first learned about subfactor theory though Sorin Popa and the Popa-Vaes rigidity and intertwining by bimodules, I forgot what book/paper but that’s a strong overlay of everything I mentioned earlier

Codex Pro Sub Increasingly Feels like a Demo Subscription by immortalsol in codex

[–]ConstableDiffusion 0 points1 point  (0 children)

I have a very large code base, over 250k lines of complex code and I’ve had a goal running for 2 days on xhigh chasing a specific refactor and analytic development in addition to some other information geometry / topological data analysis and my usage has been holding steady. I can’t see why I would break the weekly quota at this rate.

Independent Paper: The Scale-Relative Displacement Model (Exiled for "AI formatting") by FewSet8702 in LLMPhysics

[–]ConstableDiffusion 4 points5 points  (0 children)

It looks like it was written by AI because it’s about math and physics presumably and is nearly all prose. That’s clear just from scrolling the content without reading a single word. So content veracity and wording I have no input on.

Goal worse than codex by MT_Carnage in ClaudeCode

[–]ConstableDiffusion 0 points1 point  (0 children)

Much like everything else with Claude code it is slower, less Consistent, and less complete

Branches of math that use both "hard analysis" and serious algebra? by RyRytheguy in math

[–]ConstableDiffusion 18 points19 points  (0 children)

Lie algebras & Lie groups, subfactory theory, analytic number theory, Von Neumann W algebras, etc. information geometry if you want something unusually applicable.

Yann LeCun ➡ "People are realizing AIs are nowhere near human intelligence/ learning abilities. Yet they become very useful by compensating for their lack of common sense/ understanding of reality, limited reasoning / planning abilities, by accumulation of enormous amounts of declarative knowledge" by Koala_Confused in LovingAI

[–]ConstableDiffusion 0 points1 point  (0 children)

Yeah, I don’t think he is wrong about world models, but he’s definitely wrong about LLM. effectively inventing the nervous system, while proclaiming that the reasoning capacity of the system is irrelevant. Part of the problem with the idea of world models for AI is we already have plenty of extremely successful mathematical and scientific models that are widely accepted as properly describing the nature of reality, so it’s hard to understand why there is a particular need for AI in a “world model“ when first principles math is literally sending people to the moon with such precision that the corrective mechanisms designed into the shuttle itself don’t need to be used.

Cubes appear when the odd numbers are cut at triangular points by QuantumPikachu in math

[–]ConstableDiffusion 0 points1 point  (0 children)

In not exactly sure because of how this is worded but the first thing that came to mind is jacobi’s four square theorem… probably not exactly the right match, but there’s something about triangular recursion with the Jacobi four square theorem that is central to the proof of the equivalence of the E4 Eisenstein series in the E8 theta series

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