A couple of years ago, Elon Musk’s company, Tesla, unveiled a vision for a self-driving car that would take the driving of humans to the next level, and it was the most promising AI project since the advent of the internet.
But it was only a dream, as the technology had already been decades in the making.
Today, that same vision is a reality, thanks to the development of a self to machine (or “augmented”) AI called DeepMind.
But for all its promise, DeepMind has been in a state of flux for some time.
It has struggled to gain traction with investors, and now it’s struggling to secure its first funding round.
But for all the challenges, the technology is still at the very top of its game.
Musk’s vision for an autonomous car was to use AI to transform the way humans work, and his company has been developing new tools and technologies that enable it to do that.
But while it’s possible to make a car that uses artificial intelligence, it requires a huge amount of money, which has driven the development and testing of its technology.
“It’s a lot more difficult than it looks, and a lot of people are not comfortable in saying that,” said John Kelly, a professor of cognitive science at MIT who is a DeepMind researcher.
“They want to see it come to reality, and they’re really concerned about the potential risks of going too far.”
For example, while the technology’s potential is immense, many of the technologies that could make the world a better place are still decades away.
That’s not because of any lack of progress, but rather because of the sheer size of the problem.
The world currently relies on about 6,000 billion electric cars.
Of those, about 20% are electric.
The majority of those cars have an onboard computer that can drive them.
That means the computers can operate at higher speeds and higher altitudes than humans.
But the cars also need batteries to power them, and the cars have to be driven for extended periods of time, which is not easy.
“You don’t want to be doing a full day at sea with your car in the middle of nowhere,” said Kelly.
“You want to get to work and be back at work in the morning, and then you’re in a car for a full eight hours at the beach.
That really, really, requires a lot and you don’t get that with just an onboard system.”
Kelly said it’s important to realize that it’s only when you start to make the leap to fully autonomous cars that you start seeing the promise of DeepMind’s technology.
“Once you get to autonomous cars, the payoff becomes so great, the economics of it becomes so strong, that you can start to see this kind of transformative impact,” he said.
“This is a technology that’s been around for a long time, and there’s no reason why it’s not going to be here for a while, and we’ve got to make sure we get to that point.”
While it’s still too early to talk about the impact of autonomous cars on society, Kelly said that as the world gets more automated, there’s a growing need to get the technology out into the world as soon as possible.
“The technology has been around, and its just that it takes a long, long time to really get it out into a community of people who are actually going to have it,” he explained.
“It’s not just the technology itself, but how the technology works.”
Kelly says that there’s still a lot to be done before the technology can become widely used, but that’s a good thing.
“We have a lot less work to do before this happens, and that’s what makes it so exciting,” he concluded.