3.9M views · Jun 2, 2016 · 1:24:15 · 0 HN recommenders · 7 mentions · discussed 2016–2023
Kara Swisher and Walt Mossberg interview Elon Musk at Code Conference 2016 about one-way Mars missions, electric vehicles, autonomous cars, SpaceX booster reuse and AI.
Why Hacker News points people here: Mostly cited as a dated source for Musk's past claims, such as autonomous driving being essentially solved, and his rocket reuse analogies.
“Elon Musk claims the same thing about Tesla”
Musk says Tesla could easily extend range.
Apple could easily make a laptop with better battery - it would just be bigger, heavier and more expensive. Elon Musk claims the same thing about Tesla - that he could easily increase the range on Tesla's cars if they wanted to: this video . But with a range of ~300 miles he thinks they're fine.
I think he says something about spending time with his kids, etc in this Recode interview (don't remember clearly though) this video
“In regards to the first stage (booster stage) at Code Conference 2016”
Musk uses pallet-of-cash analogy for first stage.
Musk has used the pallet of cash analogy several times. Here is Musk using it in regards to saving the fairing @ ISS Research and Development Conference 2017: link In regards to the first stage (booster stage) at Code Conference 2016: this video
This is already done, at least with many modern courts. Substantiating your evidence has to happen via a pretty specific process, and there is an entire process for entering stuff into evidence with rules regarding chain of custody, validation, etc. When it comes to evidence, it's not a specific claim against anyone, it's an item that is being introduced to support a claim. That should be validated and checked before it even gets to the court room. If either counsel believes it to be fraudulent, they need to review it and make the claim. From the article, this was not really the case; instead, a video of a conference with many attendees and participants showed Musk making the claim in question.[0] Tesla's (or Musk's? Not sure) lawyers made a very weak statement: "[Musk], like many public figures, is the subject of many ‘deepfake’ videos and audio recordings that purport to show him saying and doing things he never actually said or did,” Tesla said" This is not really an argument towards anything about the video; it doesn't outright say it's a deepfake (likely because it's not), it doesn't provide any evidence to a claim that the video in question is a deepfake, it does nothing to establish who would have produced this deepfake, it doesn't question the YouTube channel owners, Recode, on if they are ready to stand by their statement, etc. In this instance, the lawyers defending Tesla/Musk are trying to muddy the waters; they aren't bold enough to say Recode made a deepfake, the
“I basically consider autonomous driving to be a solved problem".”
Elon Musk has constantly underestimated the difficulty of autonomous driving. This video ( this video ) shows Elon Musk, two years ago, saying the following: "I basically consider autonomous driving to be a solved problem". "A Model S and Model X can drive with greater safety than a person, already. Right now." "We are less than two years away from complete autonomy".
“Kara Swisher is a terrible interviewer.”
Kara Swisher is a terrible interviewer. She was terrible here [1], and she was terrible in this interview. You have an hour with Elon Musk and you ask what BFR means again (knowing the answer) and don't know that they attempt to catch fairings? Why does she always look like she did not do her research? Why do I never learn anything new if she interviews? [1] this video
“Here's Elon musk in 2016 proclaiming self driving to be easy and solved.”
Citation needed? Coast to coast autonomous drive, cross country summon mode, full self driving on highways from entry to exit, the fsd fake demo video with "driver is there only for legal reasons", million robotaxis that earn you 30k$ a year from 2020, lidar is a fools errand etc etc. You need more? Here's Elon musk in 2016 proclaiming self driving to be easy and solved. Showing entire lack of understanding what driving is like and why computers fail at it. this video
