Lex Fridman – Elon Musk: SpaceX, Mars, Tesla Autopilot, Self-Driving, Robotics, and AI

Lex Fridman – Elon Musk: SpaceX, Mars, Tesla Autopilot, Self-Driving, Robotics, and AI

Elon Musk is the CEO of SpaceX, Tesla, Neuralink, Twitter and Boring Company. Elon Musk joins Lex Fridman for his third appearance on the podcast to explore the endless possibilities of our future including the necessities for sustainable life on another planet, the challenges of autopilot, how money is a database, and more.

There should be a government agency that oversees anything related to AI to confirm it doesn’t represent a public safety risk”

There’s always a bit of trepidation when accepting cookies, it feels as though there’s a tiny chance it will open a portal to hell

Money and crypto

Challenges in developing autonomous driving technology

The perception problem is one of the biggest challenges faced. In order to fully recreate what humans do to drive, the entire road system needs to be designed to work with cameras and advanced neural nets in Silicon form.

This means that the software needs to be extremely advanced and sophisticated to solve complex control logic conundrums. There needs to be a recreation of what humans do to drive. Autonomous driving technology must solve more than just perceptual challenges. It is a much more complex problem that requires a lot of smart lines of code.

SpaceX

SpaceX will bring a human to Mars in best case 5 years, worst case 10 years.

The biggest challenges are in engineering and cost optimization to self-sustain life:

All about Tesla

Rocket economics

Benefit of War

Elon Musk and AI

OpenAI was earlier a non-profit research company that was dedicated to ensuring that AI was used for good. Elon Musk was a cofounder.

I don’t care about altruism or pessimism, fuck that, we’re gonna get it done.

The self-driving problem

To solve the self-driving problem, you need to re-create the operational capacity of a human: optical senses and biological neural nets

Creating an accurate vector space is the hardest problem – identifying the relevant factors in your ever-changing environment

Example: Kids are getting off a bus, the human brain recognizes that they could be crossing in front of the bus even though you can’t see them.

This example describes object permanence, which is a difficult problem to solve.

The importance of clarity in deals and the future of cryptocurrency on Mars

Money should be viewed as a database for resource allocation across time and space. Crypto attempts to reduce the error in money caused by the government diluting the money supply and views money through the lens of information theory.

While Bitcoin may not be useful as a day-to-day currency due to transaction volume and latency issues, solutions like the lightning network and layer 2 technologies could improve its usefulness.

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