With entanglement they all work together to form the one memory no?
I’m not convinced the same memory is even isolated to one brain.
With entanglement they all work together to form the one memory no?
I’m not convinced the same memory is even isolated to one brain.
I'm not sure I understand your second sentence, as I don't follow "entanglement news." Is entanglement currently being seen as taking part in everything, everywhere? Specifically in brain processes?
I'm intrigued by your third sentence.
I look forward to more sentences.
Edit: I couldn't find it. Something about microtubules
A quick search on "microtubule consciousness" brings forth an enormous amount of spilled digital ink on the subject.
Sabine Hossenfelder had a "science daily" video about it recently on Youtube. Worth a watch/listen.
https://backreaction.blogspot.com/2024/05/brain-really-uses-...
Not necessarily what they're saying here (I couldn't grok it either), but there's a bunch of woo being purveyed about "quantum consciousness" by Deepak Chopra recently. Some debates with Sam Harris are fun to watch.
The actual paper goes into more detail: https://www.science.org/doi/10.1126/science.adk0997
Here's a blurb from the paper that partially answers your question:
> Late-born neurons were preferentially recruited for retrieval at short latency after acquisition, whereas early-born neurons were preferentially recruited at later times. These divergent trajectories recapitulated reactivation dynamics recorded through longitudinal calcium imaging experiments, which further revealed distinct network-wide responses between subpopulations.
Let’s start with familiarizing with a large collection of sign systems we know about…
https://github.com/space-bacon/SignSystems/blob/main/Codex-o...
Think you need to provide a few example inputs and outputs on the github for the program.
Also not sure a project focused on decoding meaning and signals benefits from having AI generated interpretations divorced from the inherently human act of sign interpretation. Can be seen in the md file, such a rigidly enforced structured output has forced it to give some averaged amount of weight to different categories and examples, when many are facets of each-other, or purely just expressions of something mentioned earlier. I can see free-form high-temperature llm outputs fed to another model, which serves only to aggregate their core interpretations, providing more insight than what's within the document currently.
What are your thoughts on this from a conceptual lens?