The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 8 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Lieb: Elon Musk's hardware taste does not translate to software
“Jeff Bezos once said that, like, taste is not transferable across domains, and to me, this is like a great example of that. I would say, Elon, like, if I drive a Tesla, I think it's the best car that I've ever sat in, but the taste and the decisions they made …”
Benet: Tesla and SpaceX would have failed without Elon Musk's personal wealth
“If Elon hadn't been personally wealthy, both projects would have probably failed.”
Musk: Building the factory is an order of magnitude harder than the vehicle
“What really matters is the machine that builds the machine, the factory and this, that is at least towards magnitude harder than the vehicle itself.”
Allred: Tesla Model S build quality is worse, but user experience wins
“The Model S, like, the materials are worse. The build is probably not as good. Like, they're not as good at, like, assembling the pieces, but just the experience of that car versus the other one, it's not even close. And so Tesla's probably the canonical examp…”
Brownlee: Legacy automakers' EV efforts show how far ahead Tesla is
“The more like those big companies think about answering those questions, like Ford and like Chevy and those big guys. Yeah. The more you realize how, how far ahead Tesla is, but how, how much How, how far there is to go to actually make EVs useful for most peo…”
Musk: 80% of my time is spent on engineering and design
“Actually almost almost all my time, like, 80% of it is spent on engineering and design. Engineering and design, so it's developing next generation product that's 80% of it.”
Tesla Autopilot neural networks systematically replaced explicit C++ code
“As we made the autopilot better, basically the neural network grew in capability and size, and in addition to that, all the C++ code was being deleted and kind of like was And a lot of the kind of capabilities and functionality that was originally written in o…”