Elon Musk: "Most People Have No Idea I'm in Danger.."
In this full length interview from December 19th, 2022 Elon Musk reveals some strange details about what is happening in his life.
Can you try to introspect your particular biological neural network, your thinking process and describe how you think through problems through different engineering and design problems. Is there like a systematic process? You've spoken about first principles thinking. Yeah. But is there kind of absolutely.
Process to it? Well, um, Yeah, I like saying like, like physics is low and everything else is a recommendation. Mm-hmm. , um, like I've met a lot of people who can break the law, but I haven't met anyone who could break physics . So, uh, so first for, you know, any kind of technology problem you have to sort of just make sure you're not violating physics.
Um, and, you know, uh, First principles analysis, I think is something that can be applied to really any walk of life. Uh, any, anything really. It's just, it's, it's really just saying, um, you know, let's, let's boil something down to the most fundamental, uh, principles. The things that we are most confident are true at a foundational level, and that sets you at your, sets, your axiomatic base, and then you reason up from there.
And then you cross check your conclusion against the, the axiomatic. Um, so, um, you know, some basics in physics would be like, are you violating conservation of energy or momentum or something like that? You know, then you, you, it's not gonna work. . Um, so. Uh, that's, you know, so that's just to establish is it, is it, is it possible?
And then another good physics tool is thinking about things in the limit. If you, if you take a particular thing and you, uh, scale it to a very large number or to a very small number, how does, how do things change? Um, both like temporal, like in number of things you manufacture or something like that. And then in.
Yeah, like, let's say, say take example of like, um, like manufacturing, which I think is just a very underrated problem. Um, and, and uh, like I said, it's, it's much harder to take an advanced technology product and bring it into volume manufacturing than it is to design it in the first place. My orders magnitude.
So, um, so let's say you're trying to figure out. , um, like, why is this this, uh, part or product expensive? Is it um, because of something fundamentally foolish that we're doing? Or is it because our volume is too low? And so then you say, okay, well what if our volume was a million units a year? Is it still expensive?
That's what I mean about thinking about things to the limit. If it's still expensive at a million units a year, then volume is not the reason why your thing is expensive. There's something fundamental about. and then you then can focus on the com. Reducing the complexity or something like that in the design can change the design to change, change the part to be something that is, uh, uh, not fundamentally expensive, but, but like, that's a common thing in rocketry cuz the, the unit volume is, is relatively low.
And so a common excuse would be, well, it's expensive because our unit volume is low. Um, and if we were in like automotive or something like that, or consumer electronics, then our costs would be lower. I'm like, I'm like, okay, so let. Now, now you're making a million units a year. Is it still expensive? The answer is yes.
Then, uh, economies of scale are not the issue. Do you throw into manufacturing? Do you throw like supply chain? You talked about resources and materials and stuff like that. Do you throw that into the calculation of trying to reason from first principles, like how we're gonna make this supply chain. Yeah.
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