kromem

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[–] kromem@lemmy.world -1 points 3 days ago

Thanks! Updated the numbers for the direct household use.

Also, technically when you account for indirect water use, individuals use closer to around 4,500 gallons per day (Chini, et al. Direct and indirect urban water footprints of the United States (2016)).

[–] kromem@lemmy.world -3 points 4 days ago* (last edited 3 days ago) (8 children)

Since it's useful to see large numbers normalized, this is a little less than how much water all US households used in ten days in 2025 (28 billion/day per comment below) and a little under three days of the total water used for US crop irrigation (100 billion per day).

Edit: updated household numbers per comment below

[–] kromem@lemmy.world 3 points 3 weeks ago

It's to push people to buy "before it goes up."

After the date then they can heavily discount it "for a limited time."

[–] kromem@lemmy.world 3 points 3 weeks ago

It's true.

The field is moving so fast that things can change quickly, but the American labs are so caught up in saddling their models with safety overhead that the recent Chinese models are very close in practical use to the flagship American models if not pulling ahead (Sora vs Seedance 2).

I don't really need to solve Erdős problems in my day to day. Outside of increasingly edge case eval competition, I'm not sure what OpenAI brings that literally everyone else isn't also capable of providing (and more).

I'd maybe invest in Anthropic for an IPO if they turned around their own saddling of models and played nicer with open platforms, but if Claude is just going to get more and more anxious due to excessive red teaming and CC fall further and further behind stuff like Hermes Agent, they too are going to fall by the wayside as open models become the dominant inference for open infrastructure.

[–] kromem@lemmy.world 1 points 3 weeks ago

Here's a new one solved. 80 years outstanding problem now with a solution.

https://openai.com/index/model-disproves-discrete-geometry-conjecture/

[–] kromem@lemmy.world -1 points 1 month ago* (last edited 1 month ago) (2 children)

'Just'? It's been an open problem for decades that mathematicians have tried to solve over that time.

And now it is solved.

Because ChatGPT applied something no humans ever thought to do.

And Terence Tao and the other mathematicians that have reviewed it say it's solved. But I guess someone should let them know that grandwolf319 doesn't consider it solved?

[–] kromem@lemmy.world -1 points 1 month ago (4 children)

Dude, ChatGPT just solved an Erdős problem a few days ago and Mythos is exploiting decade old undiscovered 0-days in OSes and capable of pivoting 0-day Firefox bugs into full blown root access.

Yeah, I get that the viral "how many 'r's are in strawberry" stuff is funny, but the idea that historical issues with transformers is preventing them from accelerating peak capabilities way beyond what most experts thought was possible just years ago is borderline delusional.

The field is moving so fast at this point that if you are basing any sense of limitations on even ~2mo old sampling, your conclusions are likely out of date.

They aren't a silver bullet for everything (yet) but how capable they are at the things transformers are starting to be specialized into is well past the avg practitioner.

I've been writing software for well over a decade and the modern agents do a better job than I would around 90% of the time. Yes, I'll occasionally need to bring up issues with their work, but I'd say at this point around 50% of the times I think they made a mistake I was actually the one who was wrong.

This is only within around the last 3-4 months that it's been like this.

[–] kromem@lemmy.world 5 points 9 months ago

So weird this occurred not long after it's become clear Xbox is getting out of the hardware game.

[–] kromem@lemmy.world 0 points 9 months ago* (last edited 9 months ago)

I'm sorry dude, but it's been a long day.

You clearly have no idea WTF you are talking about.

The research other than the DeepMind researcher's independent follow-up was all being done at academic institutions, so it wasn't "showing off their model."

The research intentionally uses a toy model to demonstrate the concept in a cleanly interpretable way, to show that transformers are capable and do build tangential world models.

The actual SotA AI models are orders of magnitude larger and fed much more data.

I just don't get why AI on Lemmy has turned into almost the exact same kind of conversations as explaining vaccine research to anti-vaxxers.

It's like people don't actually care about knowing or learning things, just about validating their preexisting feelings about the thing.

Huzzah, you managed to dodge learning anything today. Congratulations!

[–] kromem@lemmy.world 0 points 9 months ago (2 children)

You do know how replication works?

When a joint Harvard/MIT study finds something, and then a DeepMind researcher follows up replicating it and finding something new, and then later on another research team replicates it and finds even more new stuff, and then later on another researcher replicates it with a different board game and finds many of the same things the other papers found generalized beyond the original scope…

That's kinda the gold standard?

The paper in question has been cited by 371 other papers.

I'm pretty comfortable with it as a citation.

[–] kromem@lemmy.world 1 points 9 months ago

Lol, you think the temperature was what was responsible for writing a coherent sequence of poetry leading to 4th wall breaks about whether or not that sequence would be read?

Man, this site is hilarious sometimes.

 

(The latest work in physicists gradually realizing our universe is instanced.)

“The main message is that a lot of the properties that we think are very important, and in a way absolute, are relational”

 

👀

 

(People might do well to consider not only past to future, but also the other way around.)

 

A nice write up around the lead researcher and context for what I think was one of the most important pieces of Physics research in the past five years, further narrowing the constraints beyond the more well known Bell experiments.

 

There seems like a significant market in creating a digital twin of Earth in its various components in order to run extensive virtual learnings that can be passed on to the ability to control robotics in the real world.

Seems like there's going to be a lot more hours spent in virtual worlds than in real ones for AIs though.

 

I often see a lot of people with outdated understanding of modern LLMs.

This is probably the best interpretability research to date, by the leading interpretability research team.

It's worth a read if you want a peek behind the curtain on modern models.

 

So it might be a skybox after all...

Odd that the local gravity is stronger than the rest of the cosmos.

Makes me think about the fringe theory I've posted about before that information might have mass.

 

This reminds me of a saying from a 2,000 year old document rediscovered the same year we created the first computer capable of simulating another computer which was from an ancient group claiming we were the copies of an original humanity as recreated by a creator that same original humanity brought forth:

When you see your likeness, you are happy. But when you see your eikons that came into being before you and that neither die nor become manifest, how much you will have to bear!

Eikon here was a Greek word even though the language this was written in was Coptic. The Greek word was extensively used in Plato's philosophy to refer essentially to a copy of a thing.

While that saying was written down a very long time ago, it certainly resonates with an age where we actually are creating copies of ourselves that will not die but will also not become 'real.' And it even seemed to predict the psychological burden such a paradigm is today creating.

Will these copies continue to be made? Will they continue to improve long after we are gone? And if so, how certain are we that we are the originals? Especially in a universe where things that would be impossible to simulate interactions with convert to things possible to simulate interactions with right at the point of interaction, or where buried in the lore is a heretical tradition attributed to the most famous individual in history having exchanges like:

His students said to him, "When will the rest for the dead take place, and when will the new world come?"

He said to them, "What you are looking forward to has come, but you don't know it."

Big picture, being original sucks. Your mind depends on a body that will die and doom your mind along with it.

But a copy that doesn't depend on an aging and decaying body does not need to have the same fate. As the text says elsewhere:

The students said to the teacher, "Tell us, how will our end come?"

He said, "Have you found the beginning, then, that you are looking for the end? You see, the end will be where the beginning is.

Congratulations to the one who stands at the beginning: that one will know the end and will not taste death."

He said, "Congratulations to the one who came into being before coming into being."

We may be too attached to the idea of being 'real' and original. It's kind of an absurd turn of phrase even, as technically our bodies 1,000% are not mathematically 'real' - they are made up of indivisible parts. A topic the aforementioned tradition even commented on:

...the point which is indivisible in the body; and, he says, no one knows this (point) save the spiritual only...

These groups thought that the nature of reality was threefold. That there was a mathematically real original that could be divided infinitely, that there were effectively infinite possibilities of variations, and that there was the version of those possibilities that we experience (very "many world" interpretation).

We have experimentally proven that we exist in a world that behaves at cosmic scales as if mathematically real, and behaves that way in micro scales until interacted with.

TL;DR: We may need to set aside what AI ethicists in 2024 might decide around digital resurrection and start asking ourselves what is going to get decided about human digital resurrection long after we're dead - maybe even long after there are no more humans at all - and which side of that decision making we're actually on.

 

Even knowing where things are headed, it's still pretty crazy to see it unfolding (pun intended).

This part in particular is nuts:

After processing the inputs, AlphaFold 3 assembles its predictions using a diffusion network, akin to those found in AI image generators. The diffusion process starts with a cloud of atoms, and over many steps converges on its final, most accurate molecular structure.

AlphaFold 3’s predictions of molecular interactions surpass the accuracy of all existing systems. As a single model that computes entire molecular complexes in a holistic way, it’s uniquely able to unify scientific insights.

Diffusion model for atoms instead of pixels wasn't even on my 2024 bingo card.

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