yogthos

joined 6 years ago
[–] yogthos@lemmy.ml 3 points 5 days ago

Nobody is talking about defying laws of physics here. Your whole premise rests on fossil fuels running out and being essential for energy production. This is simply false.

[–] yogthos@lemmy.ml 1 points 5 days ago (13 children)

I'm not assuming anything. Either you have not used these tools seriously, or you're intentionally lying here. Your description of how these tools work and their capabilities is at odds with reality. It's dangerous to make shit up when talking to people who are well versed in a subject.

[–] yogthos@lemmy.ml 2 points 5 days ago (7 children)

Correct, my answer does not address obvious straw man points of scenarios that don't exist in the real world.

[–] yogthos@lemmy.ml 3 points 5 days ago

Except USSR didn't run out of energy.

[–] yogthos@lemmy.ml 3 points 5 days ago

Again, I'm explaining to you that society is a conscious and intentional construct that we make. USSR could have made changes in a similar way China did to move in a different direction. As your own chart shows, there was no shortage of energy as output rebounded. The problems were political and with the nature of the way the economy was structured.

[–] yogthos@lemmy.ml 0 points 5 days ago (15 children)

Again, you're discussing tools you haven't actually used and you clearly have no clue how they work. If you had, then you would realize that agents can work against tests, which act as a contract they fill. I use these tools on daily basis and I have no idea what these surprises you're talking about are. As a practitioner, I find these things plenty practical.

[–] yogthos@lemmy.ml 5 points 5 days ago* (last edited 5 days ago) (2 children)

Carbon footprint shows how much energy is being used per capita. Population density is way past the point where it's practical for people to live off the land in some subsistence living scenario. What is more likely to happen is that we'll see things like indoor farming being developed so that cities can feed themselves. This will become particularly important as climate continues to deteriorate, as indoor farms will make it possible to have stable environment to grow food in.

[–] yogthos@lemmy.ml 5 points 5 days ago (4 children)

Having grown up in USSR, I know there was in fact a huge difference. The economy wasn't structured around consumption, goods were built to last. People weren't spending their time constantly shopping and consuming things. The idea that USSR was destined to collapse is also pure nonsense. There were plenty of different ways it could've developed. USSR certainly didn't collapse because it was running out of energy.

[–] yogthos@lemmy.ml 2 points 5 days ago* (last edited 5 days ago) (26 children)

Old enough to remember how people made these same arguments about writing in anything but assembly, using garbage collection, and so on. Technology moves on, and every time there's a new way to do things people who invested time into doing things the old way end up being upset. You're just doing moral panic here.

It's also very clear that you haven't used these tools yourself, and you're just making up a straw man workflow that is divorced from reality.

Meanwhile, your bonus point has nothing to do with technology itself. You're complaining about how capitalism works.

[–] yogthos@lemmy.ml 5 points 5 days ago (6 children)

The point is that capitalist relations are absolutely the problem here. Social systems do not have to be built around consumption. You're also talking about natural systems that evolve based on selection pressures as opposed to systems we design consciously.

[–] yogthos@lemmy.ml 5 points 5 days ago (4 children)

First of all, carbon footprint in China is already far lower than in any developed country. Second, as I already pointed out, most countries simply outsourced their production to China.

 
 

The paper argues that we are hitting a wall with current AI because we are obsessed with number crunching instead of structure.

Belabes posits that modern AI is too focused on statistical minimization and processing speed, which reduces everything to collections of numbers that inherently lack meaning. You lose the essence of what you are actually trying to model when you strip away the context to get raw data. The author suggests a pivot to Alexandre Grothendieck's Topos theory, which provides a mathematical framework for understanding geometric forms and preserving the deep structure of data rather than just its statistical number crunching.

Topos theory focuses on finding a new style space that acts as a bridge between different mathematical objects. Instead of just looking at points in a standard space, a topos allows us to look at the relationships and sheaves of information over that space, effectively letting us transfer invariants from one idea to another. It creates a way to connect things that seem totally unrelated on the surface by identifying their common essence. Belabes links this to the idea of conceptual strata where something that looks like noise or insignificant data in one layer might actually be critical structure in another layer. It's a move away from the binary notion of significant versus insignificant data and toward a relativistic view where significance depends on the conceptual layer you are analyzing.

The author uses literary examples like Homer and Dostoevsky to show that authentic meaning often precedes the words used to express it, whereas our current digital systems treat language as a closed loop where words define other words. Current AI essentially simulates discourse without the underlying voice or intent. By adopting a Topos-based approach, we might be able to build systems that respect these layers of meaning and read slowly to extract the actual shape of the information. It is basically a call to stop trying to brute force intelligence with bigger matrices and start modeling the actual geometry of thought.

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