LESSWRONG
LW

1

Reflections about Scalable Digital Memory and Self Improving Quantum Artificial Super Intelligence

by Ismael Tagle Díaz
20th Jul 2025
1 min read
0

1

This post was rejected for the following reason(s):

  • Difficult to evaluate, with potential yellow flags. We are sorry about this, but, unfortunately this content has some yellow-flags that historically have usually indicated kinda crackpot-esque material. It's totally plausible that actually this one is totally fine. Unfortunately, part of the trouble with separating valuable from confused speculative science or philosophy is that the ideas are quite complicated, accurately identifying whether they have flaws is very time intensive, and we don't have time to do that for every new user presenting a speculative theory or framing (which are usually wrong).

    Our solution for now is that we're rejecting this post, but you are welcome to submit posts or comments that are about different topics. If it seems like that goes well, we can re-evaluate the original post. But, we want to see that you're not just here to talk about this one thing (or a cluster of similar things).

1

New Comment
Moderation Log
More from Ismael Tagle Díaz
View more
Curated and popular this week
0Comments

I am not a computer scientist, I am just a Civil Engineer from Chile, and a very curious person. I was recently talking to ChatGPT about the limitations of Quantum Computing regarding memory. Quantum Computing, as most of you perhaps know, has the potential to escalate its compute power exponentially as the number of qubits grow.

A reasonable amount of qubits (in the order of billions) could allow to simulate entire universes at the quantum level. So my question was: OK, you have the ability to simulate those unimaginably big sistems, but how do you store all the input-output data? Is there any system or arquitecture capable of scaling memory at the same rate that Quantum Computers scale computing power?

The answer of ChatGPT was a big YES. You could, theoretically, store huge amounts of data in the form of functions, or models. You don't need to store all the raw data, you can just store the lines of code that have the potential to genereate it, if needed. ChatGPT told me there are a few investigation lines that explore this ideas, but currently there is no generalized arquitecture, agnostic to the content, and strcturally scalable that allows researchers or companies to store data in that form. So I was wondering what would happen if someone develops that kind of architecure. Or what would happen if a Quantum Artificial Super Intelligence realizes it has limitations in its memory hardware, and develops an arquitecture to surpass them.

That would certainly left us behind a mind that can process, and store, many orders of magnitude more data that we can even comprehend.

I think it is interesting to discuss these ideas. Because these might be glimpses of what an ASI (or QASI) could do to improve itself, and opens the window to discuss even more advanced self improvements.

I write this post as a humble reflection, to ask if some of you has any insights or knowledge about this possibility.