Not exact matches
Billionaires such as Warren Buffett, Bill Gates and Elon
Musk credit much
of their success to reading and
learning.
Today, a handful
of Chinese companies and cities are feverishly courting Tesla for a joint venture, Fortune has
learned, and
Musk has said his company could begin building cars in China before the end
of 2018.
But self -
learning machines are concerning enough to draw the attention
of big thinkers like
Musk — he referred to AI as «our biggest existential threat» — as well as Stephen Hawking and Bill Gates, with whom
Musk co-authored a letter about the technology's dangers.
Musk's prejudice prompted him to donate millions to the ethics think tank OpenAI — and it's why he's urging other billionaire techies like Facebook's Mark Zuckerberg and Alphabet's Larry Page to proceed with caution on their myriad
of machine
learning and robotics experiments.
What will help usher more breakthroughs in deep
learning will be the continuing advancements in powerful computing hardware, like Nvidia's GPUs that make it possible to crunch tremendous amounts
of data faster than ever, explained Ilya Sutskever, the research director
of Elon
Musk - backed AI research group OpenAI.
The first step in regulating such a new industry,
Musk said, is «to
learn as much as possible, to understand the nature
of the issues.»
So if you want to
learn faster, heed the advice
of Musk and be strategic.
In fact, figures no less respected that Albert Einstein, his fellow physics Nobel laureate Richard Feynman, and super entrepreneur Elon
Musk have all offered practical advice anyone can use to accelerate their
learning of the subject
of their choice.
After all,
Musk explained, he spends at least 90 %
of his time on either the electric car company or SpaceX; 3 % to 5 % on Neuralink, a venture aiming to create interfaces between the human brain and machine -
learning technology; 2 % on his new tunneling project called the Boring Company; and the remainder on OpenAI, a non-profit dedicated to artificial intelligence research.
At the same time,
Musk's Tesla continues to push deeper into the world
of AI research itself as it develops machine
learning technology for autonomous vehicles.
«I think it's another thing I've
learned since 2008 — we were self - funding so much
of our businesses back then, and I'll never do that again,»
Musk says.
More than a decade before he started Tesla,
Musk was studying physics at the University
of Pennsylvania and then battery technology at Stanford, both key fields for
learning how to build an electric car.
With A.I.'s ability to
learn human speech patterns (think
of Siri or Google's Cortana), and adaptability to human wants and needs, as well as their living habits (think Alexa or the Google Home), Elon
Musk is firm in his conviction that A.I. will only bring destruction.
Yet, despite his lack
of faith in God, there is much that the Church can
learn from someone like
Musk.
Sackheim, who consulted with
Musk in the early days
of SpaceX, concurred that big aerospace could
learn a thing or two from leaner, more nimble Silicon Valley organizational structures.
Through the lens
of Musk's vision
of the world, I
learned of the probable realities
of driverless cars, affordable space travel, and something called Hyperloop transportation.
Tesla has
learned from its «production hell,» the start - up problems that have held up full production
of the upper - middle - priced Model 3 that
Musk intends to revolutionize private transportation.
It's dumb to go against
Musk at this moment
of time, as the lesson
learned from Kodak.
And we
learn, even after 12 years with Elon
Musk, any
of us can be replaced.
He said the predicted commercialization
of what he and
Musk are doing with the Global
Learning XPRIZE will be more beneficial than pure charity, in a way.
Signatories include Elon
Musk, founder
of Tesla, SpaceX, OpenAI (USA), Mustafa Suleyman, founder
of Google's DeepMind (UK), and Jüergen Schmidhuber, leading deep
learning expert and founder
of Nnaisense (Switzerland).
The signatories include Elon
Musk, founder
of Tesla, SpaceX, OpenAI (USA), Mustafa Suleyman, founder
of Google's DeepMind (UK), and Jüergen Schmidhuber, leading deep
learning expert and founder
of Nnaisense (Switzerland).
Check out Elon
Musk's resume
of failures and
learn how to make mistakes, but better!