back to indexSebastian Thrun: Flying Cars Has Always Been the Dream | AI Podcast Clips
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the Wright brothers flew in Kitty Hawk for the first time. 00:00:10.560 |
And you've launched a company of the same name, Kitty Hawk, 00:00:14.900 |
with the dream of building flying cars, EVtols. 00:00:22.540 |
what are the big challenges of making this thing 00:00:24.580 |
that actually have inspired generations of people 00:00:42.640 |
my single most remembered childhood dream has been a dream 00:00:46.280 |
where I was sitting on a pillow and I could fly. 00:00:50.000 |
I remember like maybe three dreams of my childhood, 00:00:57.360 |
"They promised us flying cars and they gave us 140 characters," 00:01:08.160 |
for this super impactful stuff like flying cars. 00:01:17.560 |
They take off vertically and they fly horizontally, 00:01:22.320 |
One difference is that they are much quieter. 00:01:25.680 |
We just released a vehicle called Project Heaviside 00:01:29.560 |
that can fly over you as low as a helicopter. 00:01:38.200 |
but anywhere outdoors, your ambient noise is higher. 00:01:45.000 |
They're much more affordable than helicopters. 00:01:50.980 |
There's lots of single point of figures in a helicopter. 00:02:04.320 |
There is no second solution in helicopter flight. 00:02:11.680 |
you can now have many, many, many small motors 00:02:15.200 |
And that means if you lose one of those motors, 00:02:17.560 |
Heaviside, if it loses a motor, has eight of those, 00:02:33.440 |
flight is actually easier than ground transportation. 00:02:38.660 |
the world is full of like children and bicycles 00:02:48.440 |
When you go above the buildings and tree lines, 00:02:54.040 |
look outside and count the number of things you see flying. 00:02:57.360 |
I'd be shocked if you could see more than two things. 00:03:00.800 |
In the Bay Area, the most I've ever seen was six 00:03:08.320 |
So the sky is very ample and very empty and very free. 00:03:11.920 |
So the vision is, can we build a socially acceptable 00:03:15.760 |
mass transit solution for daily transportation 00:03:36.800 |
would make your ground transportation 10 times as fast 00:03:40.560 |
as a car based on use census or statistics data, 00:03:53.120 |
Who wouldn't want, I mean, who doesn't hate traffic? 00:03:55.640 |
Like I hate, give me the person who doesn't hate traffic. 00:04:05.480 |
we have technology, we can free the world from traffic. 00:04:13.360 |
- Do you think there is a future where tens of thousands, 00:04:17.280 |
maybe hundreds of thousands of both delivery drones 00:04:22.280 |
and flying cars of this kind, EV towers fill the sky? 00:04:28.880 |
And there's obviously the societal acceptance 00:04:36.000 |
we're gonna exceed ground transportation safety 00:04:38.280 |
as has happened for aviation already, commercial aviation. 00:04:46.240 |
That's why we are focusing relentlessly on noise 00:04:48.880 |
and we built perhaps the quietest electric VTOL vehicle 00:04:54.400 |
The nice thing about the sky is it's three dimensional. 00:04:57.680 |
So any mathematician will immediately recognize 00:05:00.440 |
the difference between 1D of like a regular highway 00:05:12.960 |
because you believe building 100 vertical lanes 00:05:18.120 |
to stack 100 vertical lanes physically onto 101. 00:05:22.240 |
That would be consuming the world's GDP for an entire year, 00:05:37.160 |
with another vehicle would just go to different altitudes 00:05:43.280 |
that's exactly how commercial aviation works. 00:05:49.360 |
another plane flies from San Francisco to New York, 00:05:58.320 |
and it will be a solved problem for the urban space. 00:06:00.640 |
There's companies like Google, Bing and Amazon 00:06:06.480 |
They use exactly the same principles as we use today 00:06:12.880 |
- Do you envision autonomy being a key part of it 00:06:20.360 |
are either semi-autonomous or fully autonomous? 00:06:24.840 |
- 100% autonomous, you don't want idiots like me 00:06:37.400 |
- And a centralized, that's a really interesting idea 00:06:46.760 |
similar as we have in the current commercial aviation, 00:06:53.520 |
That's a really interesting optimization problem. 00:06:55.640 |
- It is mathematically very, very straightforward. 00:06:59.080 |
Like the gap we leave between jets is gargantuous 00:07:01.480 |
and part of the reason is there isn't that many jets. 00:07:06.760 |
Today, when you get vectored by air traffic control, 00:07:11.840 |
So an ATC controller might have up to maybe 20 planes 00:07:14.880 |
on the same frequency and then they talk to you, 00:07:18.280 |
And that feels right because there isn't more than 20 planes 00:07:25.920 |
So we have to do something that's called digital, 00:07:30.960 |
like we have what, four or five billion smartphones 00:07:35.680 |
And somehow we solve the scale problem for smartphones. 00:07:38.680 |
We know where they all are, they can talk to somebody 00:07:41.520 |
and they're very reliable, they're amazingly reliable. 00:07:49.000 |
So instead of me as a pilot talking to a human being 00:07:54.200 |
receiving a new frequency, like how ancient is that? 00:07:59.200 |
and digitally transmit the right flight coordinates