11

LESSWRONG
LW

10
ConsciousnessPhysicsQuantum Mechanics

1

Collapse Bias and the Emergence of Matter: A Hypothesis

by ButWhy
6th Aug 2025
1 min read
0

1

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

No LLM generated, heavily assisted/co-written, or otherwise reliant work. Our system flagged your post as probably-written-by-LLM. We've been having a wave of LLM written or co-written work that doesn't meet our quality standards. LessWrong has fairly specific standards, and your first LessWrong post is sort of like the application to a college. It should be optimized for demonstrating that you can think clearly without AI assistance.

So, we reject all LLM generated posts from new users. We also reject work that falls into some categories that are difficult to evaluate that typically turn out to not make much sense, which LLMs frequently steer people toward.*

"English is my second language, I'm using this to translate"

If English is your second language and you were using LLMs to help you translate, try writing the post yourself in your native language and using a different (preferably non-LLM) translation software to translate it directly. 

"What if I think this was a mistake?"

For users who get flagged as potentially LLM but think it was a mistake, if all 3 of the following criteria are true, you can message us on Intercom or at team@lesswrong.com and ask for reconsideration.

  1. you wrote this yourself (not using LLMs to help you write it)
  2. you did not chat extensively with LLMs to help you generate the ideas. (using it briefly the way you'd use a search engine is fine. But, if you're treating it more like a coauthor or test subject, we will not reconsider your post)
  3. your post is not about AI consciousness/recursion/emergence, or novel interpretations of physics. 

If any of those are false, sorry, we will not accept your post. 

* (examples of work we don't evaluate because it's too time costly: case studies of LLM sentience, emergence, recursion, novel physics interpretations, or AI alignment strategies that you developed in tandem with an AI coauthor – AIs may seem quite smart but they aren't actually a good judge of the quality of novel ideas.)

1

New Comment
Moderation Log
More from ButWhy
View more
Curated and popular this week
0Comments
ConsciousnessPhysicsQuantum Mechanics


What if wavefunction collapse isn’t random, but biased?

This short paper proposes a framework in which spontaneous collapse mechanisms (like CSL) favour configurations that exhibit recursive coherence; meaning internal, self-sustaining structure. In this model, information flow within a system influences its likelihood of persistence at the quantum level.
 

If true, it could offer a fresh lens on:
 

  • Why matter came to dominate over antimatter
  • How stable complexity arises from decoherence
  • Whether informational patterns can shape physical outcomes before classical emergence
     

This is speculative and conceptual, deliberately light on math and designed for physicists, theorists, and complexity scientists looking to ask “why” again.
 

📄 Download the PDF from Google Drive

 

Excerpt:

“Can the collapse of the wave function be weighted by more than just randomness? This section proposes that each possible collapse outcome carries with it a measure of internal structure, a pattern of coherence, and that this structure modifies the collapse probability.”

 

I welcome critique, corrections, or alternate models, especially regarding:

  • Formalising “recursive coherence”
  • Other collapse models better suited than CSL
  • How this idea could be tested or simulated
     

While I’m not a physicist by training, I, like many of us, never stopped asking “But why?” about the basic assumptions of our universe. I’d be thrilled to see what the community thinks of the idea.

__________________________________

Author’s Note:

This paper was written by Susan Birch with the help of GPT-4, used as a co-author and research assistant. While the conceptual framework and direction are my own, the AI assisted with structuring, mathematical framing, editing, and formatting. Feedback from human readers is actively encouraged and deeply appreciated.