Elon Musk Ai Quotes

Elon Musk argued that what we need right now from governments isn’t oversight but insight: specifically, technically capable people in government positions who can monitor AI’s progress and steer it if warranted down the road.

If you're not concerned about AI safety, you should be. Vastly more risk than North Korea.

Elon Musk had been right in fearing AI.

AI Day,” which he scheduled for Tesla’s Palo Alto headquarters on August 19, 2021.

convinced they should go all in on AI by using the neural network path planner being developed by Dhaval Shroff and

Musk dubbed his new company X.AI and personally recruited Igor Babuschkin,

Machine-learning systems generally need a goal or metric that guides them as they train themselves. Musk, who liked to manage by decreeing what metrics should be paramount, gave them their lodestar: the number of miles that cars with Tesla Full Self-Driving were able to travel without a human intervening. “I want the latest data on miles per intervention to be the starting slide at each of our meetings,” he decreed. “If we’re training AI, what do we optimize? The answer is higher miles between interventions.” He told them to make it like a video game where they could see their score every day. “Video games without a score are boring, so it will be motivating to watch each day as the miles per intervention increases.

Stephen Hawking warned against the creation of artificial intelligence saying it could be mankind’s biggest mistake and expressed fears that it may enslave or exterminate us.488 Billionaire tech guru Elon Musk, founder and CEO of SpaceX and Tesla Motors, warned that creating A.I. would be like “summoning a demon.”489 Microsoft founder Bill Gates has also expressed concern about it,490 as well as Apple co-founder Steve Wozniak

EXCERPT: In an interview Zuckerberg admitted he was frustrated by people who “fear-monger” about artificial intelligence. Stephen Hawking has raised concerns over AI, saying it has the potential to wipe out the human race. “Once machines reach a critical stage of being able to evolve themselves we cannot predict whether their goals will be the same as ours. AI has the potential to evolve faster than the human race.” Despite using AI in Tesla cars, Elon Musk also has similar fears, but their concerns fall on deaf ears with Zuckerberg.

Going from PayPal, I thought: ‘Well, what are some of the other problems that are likely to most affect the future of humanity?' Not from the perspective, ‘What's the best way to make money?

a fundamental risk to the existence of human civilization. I have exposure to the most cutting-edge A.I., and I think people should be really concerned by it.” - Elon Musk

the autonomous-driving side of things, Alphabet (formerly Google), which has logged several million self-driving-car test miles, continues to lead the pack. At the end of 2016, it created a new business division, called Waymo, for its autonomous driving technology. In May 2017, Waymo and Lyft announced that they would work together on developing the technology, and later in the year, Alphabet invested $1 billion in the start-up. Others, like Cruise Automation (which GM acquired for $1 billion) and Comma.ai, which offers open-source autonomous driving technology in the same vein as Google’s Android mobile operating system, are chasing hard. Baidu, China’s leading Internet search company, has an autonomous-driving research center in Sunnyvale. Byton—backed by China’s Tencent, Foxconn, and the China Harmony New Energy auto retailer group—has an office in Mountain View, as does Didi Chuxing, the Chinese ride-sharing company in which Apple invested $1 billion. Many of these companies have taken not just inspiration but also talent from Tesla. Part of the value of an innovation cluster like Silicon Valley lies in the dispersal of intellectual labor from one node to the next. For instance, PayPal is well known in the Valley for producing a number of high performers who left the company to start, join, or invest in others. The so-called PayPal Mafia includes Reid Hoffman, who founded LinkedIn; Max Levchin, whose most recent of several start-ups is the financial services company Affirm; Peter Thiel, a Facebook board member and President Trump–supporting venture capitalist who cofounded “big data” company Palantir; Jeremy Stoppelman, who started reviews site Yelp; Keith Rabois, who was chief operating officer at Square and then joined Khosla Ventures; David Sacks, who sold Yammer to Microsoft for $1.2 billion and later became CEO at Zenefits; Jawed Karim, who cofounded YouTube; and one Elon Musk.

Many major automakers have established research centers in Silicon Valley to work on autonomy, including Nissan, Toyota, Mercedes, Ford, and GM. The newcomers—Apple, Lucid Motors, Faraday Future, Byton, and Nio—have made autonomy central to their business models and established software development teams in California. Che He Jia and Singulato Motors are working on the technology in Beijing and Shanghai. In the meantime, other tech companies and start-ups, such as Uber, Lyft, Comma.ai, Nauto, Luminar, Aurora, Caracal, Starsky Robotics, and Zoox, are all chasing variations of the self-driving prize, be it for cars, buses, or trucks.

At the Puerto Rico beneficial-AI conference mentioned in the first chapter, Elon Musk argued that what we need right now from governments isn’t oversight but insight: specifically, technically capable people in government positions who can monitor AI’s progress and steer it if warranted down the road. He also argued that government regulation can sometimes nurture rather than stifle progress: for example, if government safety standards for self-driving cars can help reduce the number of self-driving-car accidents, then a public backlash is less likely and adoption of the new technology can be accelerated. The most safety-conscious AI companies might therefore favor regulation that forces less scrupulous competitors to match their high safety standards.