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next take billionaires. We enter Silicon Valley where the smart | :00:03. | :00:12. | |
money and the start-up can shape lives for decades to come. | :00:12. | :00:18. | |
Silicon Valley, for the Greek gods of the future, this is the amount | :00:18. | :00:22. | |
Olympics. Few places boast bigger names or more billionaires to the | :00:22. | :00:29. | |
Square Mile. We are those crazed people who think that every idea | :00:29. | :00:34. | |
can happen. Why is this ordinary place in San Francisco at the | :00:34. | :00:41. | |
cutting edge? I think the Court of Silicon Valley is this creative | :00:41. | :00:44. | |
energy, a desire to create technology used throughout the | :00:44. | :00:48. | |
world. It could be the next iteration of computers smaller than | :00:48. | :00:53. | |
a human hand. Or machines that think like human beings. An idea | :00:53. | :00:57. | |
can become a billion dollar business. Companies do not focus on | :00:57. | :01:02. | |
just proffered. The figures on the value of their users and the world. | :01:02. | :01:09. | |
There is room for everyone to fail. The persistence and a try. Anything | :01:09. | :01:13. | |
he's really possible in Silicon Valley. A few of the young, bright | :01:13. | :01:23. | |
| :01:23. | :01:37. | ||
and ambitious will be the next tech So you want to make a billion | :01:37. | :01:40. | |
dollars? You want to change the world? It is Silicon Valley. If you | :01:40. | :01:45. | |
want to become a billionaire, this is the place to do it. You need a | :01:45. | :01:48. | |
good idea and someone with a vast amount of money and ready to make a | :01:48. | :01:53. | |
bet on you. There are a lot of rich people on Silicon Valley. They are | :01:53. | :01:58. | |
looking for ideas and people with the right balance of brain power, | :01:58. | :02:03. | |
drive and entrepreneurial spirit. This remarkable volley is there | :02:03. | :02:08. | |
that night making happens. It may lock look much, there is a real | :02:08. | :02:14. | |
energy and a lot to learn if you know the right person to ask. | :02:15. | :02:20. | |
are in downtown. This is really the heart of modern Silicon Valley. | :02:20. | :02:25. | |
This is the street on which Google started. This is and effectively of | :02:25. | :02:31. | |
palm drive which goes right into Stanford University. So this is the | :02:31. | :02:35. | |
place where so many. Comms got started. The centre of the internet | :02:35. | :02:39. | |
in many ways. This person is an entrepreneur and mentor to those | :02:39. | :02:45. | |
trying to suck up companies and was recently voted the guy in Silicon | :02:45. | :02:49. | |
Valley people would most likely to have a be with. What is it about | :02:49. | :02:56. | |
Silicon Valley that creates his energy? It is about having a | :02:56. | :03:00. | |
critical mass of people who love doing. They can't help but build | :03:00. | :03:04. | |
and be useful. They would have to go forward and help mentor other | :03:04. | :03:11. | |
wood to create something that is useful. If I were to be a | :03:11. | :03:15. | |
billionaire, move year? No question about it. It could be a good move | :03:15. | :03:23. | |
to come here. In a quiet suburb in a leafy lane in Silicon Valley, a | :03:23. | :03:28. | |
group of extraordinary people are trying to do just that. This is the | :03:28. | :03:32. | |
black box mansion. Where those with big ideas come war all over the | :03:32. | :03:36. | |
world to make connections. A house full of hope was searching for the | :03:37. | :03:42. | |
angel investor who might just make them a billionaire. My name is | :03:42. | :03:46. | |
Kevin. I'm from Uruguay. I'm from Germany. And Betjeman from Austria. | :03:47. | :03:52. | |
I'm from Poland. And from Germany. For as you like to keep the ideas | :03:52. | :03:56. | |
secret for now. It is known as stuff mode. It looks like working | :03:56. | :04:04. | |
from bed. I'm Carlos from the Czech Republic. Ivan Silva killer. I am | :04:04. | :04:12. | |
on entrepreneur. -- Sabatier. They have developed a mobile phone Apple. | :04:12. | :04:17. | |
They held businesses on the move. They stumbled across black box on | :04:17. | :04:21. | |
their way to Silicon Valley. came here with no connections. We | :04:21. | :04:27. | |
needed money. We ran out of money from the previous projects. We met | :04:27. | :04:32. | |
this -- the founder of black box. He made some it ructions. It is | :04:32. | :04:37. | |
about not be you know but who news for you. -- introductions. He | :04:37. | :04:41. | |
already -- he always says he knows broke of all but Obama does not | :04:41. | :04:45. | |
know him. How does it make a difference to where you are now? | :04:46. | :04:52. | |
were able to meet with other people from the field of expertise. And | :04:52. | :04:56. | |
they were able to provide us with help and feedback and advice. We | :04:56. | :05:00. | |
were not able to get this feedback in Europe. People are surprisingly | :05:00. | :05:04. | |
open about their ideas. There is a secret source which makes this | :05:04. | :05:09. | |
place even more special. Silicon Valley gives people to permission | :05:09. | :05:13. | |
to payer -- defile. Most investors are willing to invest in | :05:13. | :05:16. | |
entrepreneurs who failed it took risks and a comfortable in that | :05:16. | :05:23. | |
process. It is like a big brother house for geeks. Yes. It was once | :05:23. | :05:29. | |
described as the Playboy Mansion for geeks. People are happy when | :05:29. | :05:32. | |
they are here because they meet other entrepreneurs from different | :05:32. | :05:41. | |
parts of the world. The corporation is very enriching to this | :05:41. | :05:45. | |
entrepreneurs can act of Silicon Valley. There have been enriched. | :05:45. | :05:49. | |
Straight after the meeting, there had an interview. They went well. | :05:49. | :05:53. | |
This will complete company for $20 million. There is a lot of money to | :05:53. | :05:59. | |
be made around here. -- they sold the company. | :05:59. | :06:03. | |
The Facebook story is the story of Silicon Valley success. Now it is | :06:03. | :06:09. | |
betting on the next big thing. Inside the vast compass, there art | :06:09. | :06:15. | |
adorns the hallways. There is a little corner reserved for a little | :06:15. | :06:19. | |
company called Instagram. You might have used their photo application. | :06:19. | :06:25. | |
A head full of people with a great idea. Facebook bought them for $0.5 | :06:25. | :06:32. | |
billion. Kevin helped profile and Instagram. He ran a billion dollar | :06:32. | :06:36. | |
business in a few short years. are the calls to things about value | :06:36. | :06:42. | |
right now is do can be in college and also a few years later have an | :06:42. | :06:45. | |
application and a company that affects millions of people. It is | :06:45. | :06:49. | |
humbling in many ways to realise that anyone in the valley can do | :06:49. | :06:52. | |
that. That one of the most powerful things about living out here. | :06:52. | :06:56. | |
Anyone with an idea has a chance to make it big by affecting many | :06:56. | :07:06. | |
| :07:06. | :07:10. | ||
millions of people around the world. The cafes of Silicon Valley are | :07:10. | :07:14. | |
where the hopefuls pitch and you reach listen. Where both sometimes | :07:14. | :07:19. | |
strike gold. -- the rich. People recognise that bill in popular | :07:19. | :07:24. | |
technology is difficult. Most people will fail. When you do | :07:24. | :07:27. | |
succeed, you can quickly change the war. You can get hundreds of | :07:27. | :07:34. | |
millions of users. 10 million users is the new one million users. That | :07:34. | :07:38. | |
is true. The benchmark for success in a consumer software company is | :07:38. | :07:42. | |
that 10 million people have used your product. If you think about | :07:42. | :07:47. | |
that, the scale of what that means in terms of species level change | :07:47. | :07:53. | |
and acted by a handful of people is pretty astonishing. Scale, spacious | :07:53. | :07:58. | |
level change. A private start-up company based here at NASA's | :07:58. | :08:08. | |
| :08:08. | :08:15. | ||
Silicon Valley Research lab is Bob Richards want to mine guru. | :08:15. | :08:18. | |
focus of the engineering effort of the Express is that of course the | :08:18. | :08:24. | |
lender itself. This is the prototype vehicle, but would result | :08:24. | :08:28. | |
in collaboration with Nasser. It allows us to rapidly test and | :08:28. | :08:32. | |
develop the software algorithms used to lend on the moon safely. | :08:32. | :08:37. | |
The first step, winning $20 million in challenge money. To be the first | :08:37. | :08:41. | |
to land on the surface, deployed a robot and a son back pictures by | :08:41. | :08:47. | |
2015. This is very high-tech. Most of the topology is actually the | :08:47. | :08:51. | |
stuff you cannot see. The algorithms and software. He | :08:51. | :08:55. | |
intelligence in the vehicle. This is though the proportion system is | :08:55. | :09:00. | |
tested. The vehicle has to learn how to land on the moon itself. | :09:00. | :09:06. | |
There is too much to -- too much delay control and it from Earth. | :09:06. | :09:11. | |
This is the corporate plan to mind the Moon. The Moon is has a things | :09:11. | :09:16. | |
we have not discovered get. There could be more platter metals on the | :09:16. | :09:19. | |
surface of the moon and all the reserves on earth. There is water | :09:19. | :09:23. | |
on the moon. It is again George Hill for the Solar System. What is | :09:23. | :09:30. | |
rocket fuel. -- gang changer. It can support life and agriculture. | :09:30. | :09:34. | |
It is the first step to making the bin part of our world. What | :09:34. | :09:44. | |
| :09:44. | :09:44. | ||
Sunday in the future, we want to have a more to planetary Society. | :09:44. | :09:52. | |
This person is the million backing the moon Express. He once advised - | :09:52. | :09:56. | |
- he has advice for those who want to be billionaires. The way you | :09:56. | :10:04. | |
make billionaire companies is really easy. Use of 100 billion | :10:04. | :10:08. | |
dollar problem. You can't create a billion-dollar company Bussleton a | :10:08. | :10:11. | |
million dollar problem. Education and healthcare and clean energy and | :10:12. | :10:16. | |
clean water. These are his hundred billion dollar problems. As a vital | :10:16. | :10:21. | |
part of Silicon Valley, the engine driving all this energy and ideas, | :10:21. | :10:26. | |
Stanford University. Were the idealism of youth has his space to | :10:26. | :10:33. | |
think that big, to really ask what They call this university the farm. | :10:33. | :10:38. | |
It is a great big name, given the close Russia could have with your | :10:38. | :10:42. | |
money and the technological innovation of Silicon Valley. The | :10:42. | :10:51. | |
brains of grow here. Quantum physicists are making huge steps to | :10:51. | :10:59. | |
what is a mystery Science. Technology is that in aid. Such is | :10:59. | :11:03. | |
the importance of carbon manager does. An amazing material, not just | :11:03. | :11:07. | |
the drugs sold since we have ever discovered but a key component of | :11:07. | :11:13. | |
computers of the future. -- carbon tubes. You have to be dressed bride | :11:14. | :11:23. | |
| :11:24. | :11:30. | ||
How is that? It looks good. looks perfect. What is it yellow in | :11:30. | :11:36. | |
here? This is where we do all of our photo. All of this in this room | :11:36. | :11:40. | |
is light sensitive. He got his degree last year. He is developing | :11:40. | :11:45. | |
not only a microcomputer but anatomic size computer, made of | :11:45. | :11:50. | |
carbon manic tubes. Silicon chips cannot be made any smaller. That is | :11:50. | :11:55. | |
when Nano chip technology will step in. Computers can continue to | :11:55. | :12:00. | |
strike in size but also expand in power. What it and any cheap? In is | :12:00. | :12:06. | |
basically a straw or cheap. It is made of carbon atom so. They are | :12:06. | :12:10. | |
extremely small. 150 thousandths of a diet of a human ear. There are | :12:10. | :12:15. | |
lots of them on this disc. They are too tiny to see through a powerful | :12:15. | :12:21. | |
microscope. He using the materials that were work on, we should be | :12:21. | :12:25. | |
able to use a very highly energy efficient and fast and a chronic | :12:25. | :12:30. | |
system. Hopefully, your computer will be able to run a lot faster. | :12:30. | :12:38. | |
Walton rated less heat and energy. -- using less energy. Stanford | :12:38. | :12:48. | |
| :12:48. | :12:51. | ||
University has a one -- remarkable Entrepreneurs have taken ideas from | :12:52. | :12:57. | |
the company and turn them into companies like Phillip Parker, | :12:57. | :13:05. | |
Google, Yahoo. -- Hewlett-Packard. It is an ongoing relationship. | :13:05. | :13:09. | |
person is the President of Stamford. He is on the board of directors for | :13:10. | :13:14. | |
Google. He's University raised $1 billion of funding in one ear. The | :13:14. | :13:20. | |
first time that has ever been done. There is a healthy embracing of | :13:20. | :13:27. | |
entrepreneurial tradition. And make a difference in the world. There is | :13:27. | :13:31. | |
a good dose of realism about it. Students understand that great | :13:31. | :13:36. | |
companies are built around a great discoveries and inventions. Not | :13:36. | :13:40. | |
just around, I want to be an entrepreneur, therefore I am | :13:40. | :13:44. | |
successful. That does not do it. Unique that fundamental discovery | :13:44. | :13:49. | |
or invention that sets you apart. But appreciation for that is | :13:49. | :13:52. | |
something we try and instil in the student to they have a good | :13:53. | :14:02. | |
| :14:03. | :14:07. | ||
understanding of what it takes to There is a creativity and problem | :14:07. | :14:15. | |
solving here that he is in everyone. This is the design school at | :14:15. | :14:19. | |
Stanford. Today is a product that day. Will the students from | :14:19. | :14:22. | |
different parts of the university were given a challenge to come up | :14:22. | :14:26. | |
with an idea based on a theme. This is where they are showing of those | :14:27. | :14:31. | |
ideas today. It is all about innovation, getting people thinking | :14:31. | :14:38. | |
in a different way, to come up with ideas thought of a walk of life | :14:38. | :14:42. | |
they going to. The task was to design a concert for a big | :14:42. | :14:45. | |
department store, is in social networking, technology, anything, | :14:45. | :14:51. | |
treating different be. This is a photo-booth in the sitting room. Do | :14:51. | :15:01. | |
| :15:01. | :15:02. | ||
you want to be a user? Go ahead and try it. Thank you.This is a camera, | :15:02. | :15:09. | |
there will be a time. It would take a picture of you, you can see it | :15:09. | :15:13. | |
and then you can choose similar photo, Senator Facebook, some good | :15:13. | :15:20. | |
to Twitter, or through text. Sometimes be positive family, | :15:21. | :15:29. | |
friends, sometimes they wanted on Facebook. I know this looks | :15:29. | :15:35. | |
ridiculous. I would say you should take it. Thank you. The design | :15:35. | :15:38. | |
school is designed to teach people who were smarter their own areas of | :15:39. | :15:43. | |
study to think creatively, to work together, and to broaden their | :15:43. | :15:48. | |
education for the future. The pace of change right now is tremendous. | :15:48. | :15:53. | |
With globalisation and the kinds of economic change we are seeing, | :15:53. | :15:57. | |
things are happening more quickly and with more complexity than they | :15:57. | :16:01. | |
ever have before. We once it has to be equipped with a set of skills | :16:01. | :16:06. | |
about solving problems, problems that are not even apparent yet. | :16:06. | :16:11. | |
have to be smart in many ways. Her a great idea or invention is not | :16:11. | :16:17. | |
enough. The core of Silicon Valley is a creative energy, a desire to | :16:17. | :16:22. | |
go and create technologies that I used throughout the world. We have | :16:22. | :16:29. | |
such a nexus of people already here who were setting examples, | :16:29. | :16:34. | |
mentoring, advised -- investing in the next generation. It becomes a | :16:34. | :16:44. | |
| :16:44. | :16:47. | ||
cycle. Amid the flickering of lights and the hum of one million | :16:47. | :16:50. | |
hydrides, one of the biggest library some earth. This is a cloud, | :16:50. | :16:57. | |
a place were the internet resides, where any question can be answered. | :16:57. | :17:02. | |
We pour billions of bytes of data into the cloud every day. Working | :17:02. | :17:07. | |
out how to mind that and interpreted will change the future. | :17:07. | :17:11. | |
His is one way of visualising what a huge set of data looks like. | :17:11. | :17:14. | |
These are some of the people making money out of mathematics and hoping | :17:14. | :17:20. | |
to change the world. 30 years ago we said we would collect this data | :17:20. | :17:26. | |
and stories in a nice format. What we find ourselves with today is | :17:26. | :17:29. | |
that there is so much data we do not know what the right questions | :17:29. | :17:36. | |
to ask are. What the software does it that it finds answers to the | :17:36. | :17:40. | |
questions that you are not her had to ask. This maths professor co- | :17:40. | :17:44. | |
founded a company which emerged from a decade of research. He has | :17:44. | :17:50. | |
raised more than $10 million and has made some amazing discoveries. | :17:50. | :17:55. | |
Among them, or breast cancer. contains all the people who ended | :17:55. | :18:04. | |
up surviving breast cancer. dots describe 200 patients. The | :18:04. | :18:08. | |
bottom five groups are those who died. It is old data, but the | :18:09. | :18:12. | |
patterns found by the software it minutes have sparked new research | :18:12. | :18:19. | |
to help diagnose and treat breast cancer. Even as of healthcare, | :18:19. | :18:29. | |
| :18:29. | :18:33. | ||
these works for many areas, will -- including oil exploitation. | :18:33. | :18:36. | |
Machines are getting so fast they are beginning to think for | :18:36. | :18:40. | |
themselves. Stanford's artificial intelligence lab is at the | :18:40. | :18:45. | |
forefront of making smart machines. It is not just about making robots, | :18:45. | :18:49. | |
it is about making software that recreate a human brain, through | :18:49. | :18:56. | |
what is called a new role that work. Imagine we had to wake up not | :18:56. | :19:00. | |
knowing anything and watched YouTube for a week. We were then | :19:00. | :19:04. | |
asked ourselves what we learn. We had our hypothesis that we would | :19:04. | :19:09. | |
begin to recognise, like a recurring themes. What it has often | :19:09. | :19:15. | |
in YouTube? Cats. We looked and found the one of the neurons in the | :19:15. | :19:22. | |
network had learned to recognise cat faces. After watching YouTube | :19:22. | :19:27. | |
for a week, the computer created an image based on what had learned. | :19:27. | :19:31. | |
The remarkable thing was that we had never told that what the cat | :19:31. | :19:37. | |
was. It had discovered this concept of cats just by watching YouTube. | :19:37. | :19:41. | |
Not quite taking over the world, but amazing progress. From the | :19:41. | :19:50. | |
light changed into the -- the life changing, Silicon Valley is has the | :19:50. | :19:54. | |
ring a tour. The idea is that we wanted to build that price it is a | :19:54. | :19:58. | |
pair of glasses, they are stylish and have a computer inside. They | :19:58. | :20:02. | |
can stream video to a mobile device. From there we can have applications | :20:02. | :20:07. | |
in augmented reality and other interesting spaces. We designed the | :20:07. | :20:17. | |
| :20:17. | :20:40. | ||
product in 3D and then we go into This is a prototype of the glasses. | :20:40. | :20:46. | |
You can see the lenses are here and the camera is here. It fits inside. | :20:46. | :20:51. | |
And everything is recorded that to see? Exactly. Video is the | :20:51. | :20:55. | |
beginning. The new computer we are building also has TPS. It has | :20:55. | :20:59. | |
biometrics senses in it. Information will appear in front of | :20:59. | :21:05. | |
your eyes, whether it be that some or advertising. I have heard of | :21:05. | :21:12. | |
something like this from Google. Is this the same thing? Know. We think | :21:12. | :21:18. | |
of ourselves as better than what Google is giving. The computer will | :21:18. | :21:25. | |
have a function of that we believe the consumer will be interested in. | :21:25. | :21:35. | |
| :21:35. | :21:37. | ||
Google may beg to differ. This whole project was to do that here | :21:37. | :21:41. | |
appears poised quartet shop. It is like a huge workshop. It has a lot | :21:41. | :21:45. | |
of difference machinery in here. You can make pretty much anything. | :21:45. | :21:51. | |
Over here, banks of computer screens. People can programme | :21:51. | :21:55. | |
software, buildings in 3D, and print them out, or use laser | :21:55. | :22:00. | |
cutters. The reason that people use this is because they want to build | :22:00. | :22:03. | |
prototypes to start businesses. They have an idea, they build it | :22:03. | :22:08. | |
here, it is cheap and easy, they concede it works. If it does, they | :22:09. | :22:12. | |
can then make them on a bigger scale and turn it into a proper | :22:12. | :22:19. | |
business. It is called the makers revolution. Hobbyists can afford to | :22:19. | :22:21. | |
build many factoring businesses themselves on the back of good | :22:21. | :22:27. | |
ideas. It could change the way the whole industry works. A more people | :22:27. | :22:33. | |
can participate. These manufacturing tools that used to be | :22:33. | :22:37. | |
hard and expensive, we now has dust of manufacturing, personal many | :22:37. | :22:43. | |
factoring. All those things that were hard and now easy. Anybody can | :22:43. | :22:47. | |
participate. We have democratised manufacturing. It is not about | :22:47. | :22:53. | |
Labour any more, it is about ideas. He has the best ideas and designs? | :22:53. | :23:01. | |
That can happen anywhere. We excite audiences by making television | :23:01. | :23:08. | |
engaging. Will come to a real-life version of the apprentice. Fiji | :23:08. | :23:12. | |
billionaire's practice so than themselves to potential investors. | :23:12. | :23:16. | |
Our vision is to help people have any faith find the best for for | :23:16. | :23:26. | |
| :23:26. | :23:28. | ||
them. Our friend was worded mentors rating some of them. The founder | :23:28. | :23:33. | |
institute is a school to start-up entrepreneurs. There is an issue | :23:34. | :23:37. | |
with a lot of entrepreneurs, they stand around thinking and talking | :23:37. | :23:42. | |
about his, but not actually building their companies. They want | :23:42. | :23:47. | |
to be an entrepreneur, but they're not actually doing it. I love the | :23:47. | :23:51. | |
point of the programme like this is to get them off that, to push them | :23:51. | :24:01. | |
| :24:01. | :24:02. | ||
of that. We can force them to make forward progress. With your help, | :24:02. | :24:07. | |
we plan to demolish the transportation barrier for seniors. | :24:07. | :24:12. | |
Jay was to provide a taxi service for the people, with a paramedic | :24:12. | :24:18. | |
tried in. He had a hard time of it. You're in the programme, you need | :24:18. | :24:23. | |
to get a grant, this is not bad. comes across as harsh, but it is | :24:23. | :24:28. | |
very constructive. Why are you doing this? I want to change the | :24:28. | :24:33. | |
world with my company. This is the way to see the charge that. It will | :24:33. | :24:37. | |
make sure they are not falling for the common pitfalls that I might | :24:37. | :24:44. | |
otherwise hit. They are chasing big dreams. Those who have already made | :24:44. | :24:54. | |
it and doing what they can to give something back. What are the other | :24:54. | :24:57. | |
lessons from Silicon Valley? It is not all about the money, it is | :24:57. | :25:02. | |
about changing the world. It is OK to fail here, sometimes it is even | :25:02. | :25:06. | |
encouraged. The next big idea does not have to be a big secret, you | :25:06. | :25:11. | |
need to be open to succeed. With that in mind, what will the future | :25:11. | :25:16. | |
hold? We had to ask people, what if they could predict the future? | :25:16. | :25:22. | |
we look out far enough, to Rex bring connection of some sort. | :25:22. | :25:27. | |
We're in the transformation of the shin and species. The future will | :25:27. | :25:33. | |
be a global economy. Digital countries, not divided by borders. | :25:33. | :25:40. | |
The next big thing is already here, it is mobile. Robotics will be the | :25:40. | :25:44. | |
tipping point that will bring robots into a lives. I am convinced | :25:44. | :25:51. |