Turfie

I don't understand why the color gamut is only P3. With an OLED display, I assume it's quite easy to push gamut > P3, no?

The main ideas for solving Navier Stokes have been exposed, it's not something buried in slop. And if it were, you could have AI write up the big ideas that actually mattered in these said slop proofs.

I think they're more afraid of the current status quo. Distilling, writing textbooks, teaching, ...

And currently, I could be wrong but, I see them being blind to the possibilities it brings. AI could very well be distilling maths, spreading it, and nurturing the ecosystem way better than the few elite mathematicians ever could.

I was watching a talk by Terence Tao a couple of days ago, and I noticed a shift in his attitude towards AI. His enthusiasm seemed to have waned; he was becoming more dismissive of it, and I was wondering why.

“A Severe Misalignment of AI in Mathematics,” with a list of important mathematicians.

This post makes it clear that, to put it bluntly, they’re psychologically butt-hurt.

They talk about misalignment, but this revolution is a massive step forward in the advancement of mathematics. Everyone has access; everyone can collaborate.

Yes, “plagiarism and attribution” are current-day problems for them. But guess what? Those were stupid things to concern oneself with anyway if your real goal is to advance mathematics and the spreading of it.

This whole post kind of reads like their egos being butt-hurt.

There are tons of developers who published open-source code that made all of this possible without any attribution. And that is indeed the future we must inevitably head towards, if one’s ego would allow it, that is, and if one is properly “aligned” with the right goals.

I envision us all collectively talking to a centralized and open AI. This would really ignite human sharing and collaboration.

It is indeed problematic that currently it’s in the hands of some companies, while it should be a public good.

I hope this progression will eventually, finally, trigger the real solution to all of our problems: true global cooperation, global politics, and genuine collaboration as a human species.

But I hold my heart, because if even these mathematicians have misaligned egos, then what’s to be expected of the rest of the decision-makers?

Fantastic! E-mail him and ask if he thought about it at all

Yes, and mass excitement

> If it was entirely up to fable max or sol max the result would have been pretty bad.

How can you know it will have failed? I don't think it's that hard, if you clearly define the goal well, and have a bit more compute available, and do some intermediary bookkeeping.

Each day I'm thinking, global politics and unification would solve this.

And yet, every day, I see us getting removed further and further away from it.

If you're finding it hinders, you're using it wrong.

Terrence Tao is living proof, that it cannot hinder even the most elite.

There's always something you can do with it.

Thank you. You have somewhat shifted my beliefs in a meaningful way.

> There's only so much information in the world and we've largely downloaded it all, so it can't get better there.

What about all the input data into LLMs and the conversations we're having? That must be able to produce a better next gen model, no?

> it's ridiculously easy for anyone to fine-tune training, we don't need frontier companies for that.

Not for me. It'll take me days, and then I'm pretty sure it won't be better than Gemini 3 pro for my coding needs, especially in reasoning.

> For doing math you'll use one model, for intelligence you'll use a different model, for coding a different model, for health a different model, etc, and the reason is simple: it's faster, lower memory, and more accurate.

Why wouldn't e.g. Gemini just add a triage step? And are you sure it's that much easier to get a better model for math than the big ones?

I think you underestimate the friction this causes regular users by handpicking and/or training specific models, whilst the big vendors are good enough for their needs.

Thanks for the insights. The 'podcasting bro' bit is hilarious.

I don't think demand will collapse though, since the Mag7 has the cash flow to spend, and they can monetize if the time's ripe.

What do you think?

Well, they might have gotten a little wary from previous boom and bust cycles. Perhaps they are a bit wary about the economic sustainability of the whole AI thing. However, perhaps they also might be driven by greed at this point. Why not just constrain supply and increase margins whilst they are no real competitor?

I've thought about this too. I do agree that open source models look good and enticing, especially from a privacy standpoint. But these solutions are always going to remain niche solutions for power users. I'm not one of them. I can't be hassled/bothered to setup that whole thing (local or cloud) to gain some privacy and end up with an inferior model and tool. Let's not forget about the cost as well! Right now I'm paying for Claude and Gemini. I run out of Claude tokens real fast, but I can just keep on going using Gemini/GeminiCLI for absolutely no cost it seems like.

The closed LLMs with the biggest amount of users will eventually outperform the open ones too, I believe. They have a lot of closed data that they can train their next generation on. Especially the LLMs that the scientific community uses will be a lot more valuable (for everyone). So in terms of quality, the closed LLMs should eventually outperform the open ones, I believe, which is indeed worrisome.

I also felt anxious early december about the valuations, but, one thing remains certain. Compute is in heavy demand, regardless of which LLM people use. I can't go back to pre-AI. I want more and more and faster and faster AI. The whole world is moving that way it seems like. I'm invested into phsyical AI atm (chips, ram, ...) whose evaluations look decently cheap.

I agree. Especially the whole Johny Ive and Altman's hype video in that coffee shop was absolutely disgusting. Oh how far their egos have been inflated, which leads to very bad decision making. Not to be trusted.

Why are you anti Google?