#in
They’re all derivable ultimately from this strange thing we call the ruliad, which is this limit of all possible computations. The entangled limit of all possible computations.
Which is, maybe the universe is not picking any particular rule, it’s running all possible rules. And so what the ruliad is is this computational process that runs all possible rules. So imagine you had all possible computers and you start them off from all possible starting points, and you run them all. You might say, “How could that do anything interesting?” The critical point is that sometimes those computers will end up making the same thing. In other words, two different computers might end up having being producing something which is the same, has the same structure.
branching universe branching mind
what time is
time is the inexorable progress of computation. So in other words, the universe is in some state, then the universe is going to be transformed to another state, and another one. That progressive process of transformation is the passage of time
how we view time and ourselves thread of experience
what ultimately drives the mathematical structure of quantum mechanics, is this assumption that we have that we are persistent in time and that we can conflate things to the point where we have a single thread of experience.
consciousness
the universe has much more capability than we have. And this thing we call consciousness is a filtering of that capability to something specific, where we believe, for example, that there’s a single thread of experience that we have. And that that’s kind of the thing that consciousness, the application of consciousness to science is this thing where it’s not about everything in the universe, it’s just about the particular things that are sort of the way that our minds perceive things.
To us, inside, we are this one point in rulial space where there is this set of things going on. That is our experience of the universe, and it’s completely unique. And there may be some other point in rulial space, some other mind that is fairly close by where we can say, “We’re experiencing these things. We can tell that they’re similar to what’s being experienced here.” But each sort of consciousness is unique in that sense.
what is space
personal productivity live streaming meetings video work logs
Basically was working on this sort of personal journey history thing, and I’m recording my screen and I’m just recording what I’m doing. Now, why am I doing this? Because it’s easy to do and the thing that — and somehow, it makes it feel a little bit more meaningful to me. It sort of makes me think, “Oh, I’m not going to goof off in that way because I’m screen recording everything here.”
weekly q&a sessions: science and tech for kids and others, the history of science and technology, business innovation and managing life
one thing is that I do things that I like to do. And for me, that’s a huge, energizing force.
I realized I’d been working more than 12 hours a day, every day, for basically all of the last 50 years. And I’m having a good time, and I’ve been lucky enough to be able to mostly do things that add energy to me rather than taking it away. When I do creative things, and I figure stuff out and even write things and so on, that the process of finishing them and getting them done is energizing to me.
habit and routine
I’m very habitual, in terms of when I go to sleep, when I wake up. Things I eat tend to be habitual, and they may not be optimal, but they’re habitual at least. I’ve found that, for me, I try and optimize away all those aspects of my life that I really don’t care about, so to speak, that I don’t keep those as simple and not having to think about them as possible so that I can spend my thinking effort on things where I really want to think about these things and really want to spend my time on them.
My company, which I started now 36 years ago, is my machine for turning ideas that I have into real things.
computational language
when things involve big ideas, there’s a certain, inexorable slowness to the way that they get adopted. And there are always some number of early adopters, who are the ones that run out in front, and so my parting pitch would be, if you don’t understand computational language and Wolfram Language and so on, try to understand it because it is, for me, the — you talk about productivity hacks. The biggest amplifier, hugest productivity hack is the whole computational language idea. That’s what all the things I’ve done in science and in technology, they are all based on that idea and the tower of technology that we built around that.