Knowledge Seeker https://lorenzopieri.com/
(apart for your reply!)
Using the Universal Distribution in the context of the simulation argument makes a lot of sense if we think that the base reality has no intelligent simulators, as it fits with our expectations that a randomly generated simulator is very likely to be coincise. But for human (or any agent-simulators) generated simulations, a more natural prior is how easy is the simulation to be run (Simplicity Assumption), since agent-simulators face concrete tradeoffs in using computational resources, while they have no pressing tradeoffs on the length of the program.
See here for more info on the latter assumption.
This is also known as Simplicity Assumption: "If we randomly select the simulation of a civilization in the space of all possible simulations of that civilization that have ever been run, the likelihood of picking a given simulation is inversely correlated to the computational complexity of the simulation."
In a nutshell, the amount of computation needed to perform simulations matters (if resources are somewhat finite in base reality, which is fair to imagine), and over the long term simple simulations will dominate the space of sims.
See here for more info.
Regarding (D), it has been elaborated more in this paper (The Simplicity Assumption and Some Implications of the Simulation Argument for our Civilization).
I would suggest to remove "I dont think you are calibrated properly about the ideas that are most commonly shared in the LW community. " and present your argument, without speaking for the whole community.
Very interesting division, thanks for your comment.
Paraphrasing what you said, in the informational domain we are very close to post scarcity already (minimal effort to distribute high level education and news globally), while in the material and human attention domain we likely still need advancements in robotics and AI to scale.
You mean the edit functionality of Gitlab?
Thanks for the gitbook tip, I will look into it.
Yes, the code is open source: https://gitlab.com/postscarcity/map
As other commented, I see multiple flaws:
Even if we assume this, it does not follow that we should try to recreate the subjective conditions that led to (perceived) "success". The environment is always changing (tech, knowledge base, tools), so many learnings will not apply. Moreover, biographies tend to create a narrative after the fact, emphasizing the message the writer want to convey.
I prefer the strategy to master the basics from previous works and then figure out yourself how to innovate and improve the state of the art.