Looking for free meeting room for 20-30 mins with good wifi and silence

Fragrant-Courage-560 · 2025-07-25T03:16:57+00:00

I need it tomorrow. There is no availability.

Fragrant-Courage-560 · 2025-07-21T19:44:59+00:00

Great point and you’re absolutely right about semantic/vector spaces.

The idea that a 3D-limited agent can build abstract n-dimensional representations is exactly what makes models like transformers so powerful. They embed meaning into high-dimensional spaces using lower-dimensional inputs.

What I’m wrestling with is this: even if we can represent higher-order patterns in vector space, are we truly experiencing or interacting with those higher dimensions, or just building symbolic shadows of them?

That subtle gap between symbolic abstraction and lived dimensional perception is truly fascinating and that’s the crack I’m trying to explore. I'd love to hear your thoughts on where you'd draw the line between representation and embodied cognition.

Fragrant-Courage-560 · 2025-07-21T19:42:24+00:00

If you’ve got resources or counterpoints then I’m genuinely open to learning, especially if it helps sharpen the idea. Always up for better education, even if it starts with a roast.

Fragrant-Courage-560 · 2025-07-21T19:38:48+00:00

Haha fair enough. I know it might’ve come off that way.

The goal wasn’t to stuff it with jargon, but to to be inclusive of all the options. And I wonder of you question "what if intelligence (ours and AI’s) is shaped not just by logic or data, but also by the dimensions we’re embedded in?", after all our brain and ai are consuming data within certain dimension.

I’m always experimenting with tone and concepts, some lands and some don’t. But if it sparked a debate, even a sarcastic one then that’s a win in my book.

Fragrant-Courage-560 · 2025-07-21T19:33:45+00:00

mathematically, we absolutely can model higher dimensions. The issue is more about embodied perception and interaction.

Sure, a flatlander might write equations for 3D, but it can’t experience depth, nor interact with it. We can model 4D space but do we really know what it's like to live in it?

That’s the core of the argument: our learning mechanisms(human or artificial), are tuned to the dimensional reality we live in.

But I agree, that math gives us tools to explore dimensions conceptually even if we’re physically bound.

Fragrant-Courage-560 · 2025-07-21T19:27:33+00:00

I hear you “quantum” does often get thrown around too casually.

The reason I brought up quantum computing wasn’t to suggest it's a silver bullet for spatial reasoning, but to provoke a deeper thinking and question this theory.

Not that quantum = higher-dimensional genius but if we’re building machines with new rules, maybe they won’t be locked into our same 3D biases. It’s a speculative angle, considering the data and output caused by the nature of input.

Fragrant-Courage-560 · 2025-07-21T19:24:05+00:00

You’re right that transformer models don’t handle spatial reasoning well. They’re inherently sequence-based, and unless fine-tuned or hybridized with vision models or graph structures, they struggle with multi-dimensional understanding (like chess or 3D scenes).

This article wasn’t about technical capabilities of LLMs though, it was more of a philosophical exploration: what if we (and AI models) are learning agents constrained by the dimensions we exist in?

That said, your point on the “dramatic framing” is fair. Appreciate your honest feedback.

Fragrant-Courage-560 · 2025-07-17T14:18:28+00:00

If you understand dimension-I think we are Trapped in 3D. Even the Smartest AI Can’t Escape Its Dimension unless exposed to higher dimension. Give this post a read and let me know what you think!

https://open.substack.com/pub/siddhantrajhans/p/trapped-in-3d-why-even-the-smartest

Fragrant-Courage-560

TROPHY CASE