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Transformers

   2018    Technology
In 1983 Hasbro bought the license of the Diaclone and Micro Change toys from Takara, then commissioned Marvel Comics to come up with a story-line and character names for the toys. The result: Transformers. Despite Tonka releasing the cheaper Gobots line six months earlier, Hasbro's Transformers took the toy market by storm in 1984, raking in US$150 million that year. At the peak of the toy line's popularity, The Transformers: The Movie hit theaters to further capitalize on its success, but the film polarized fans and collectors with the death of Optimus Prime and majority of the original characters. As Hasbro took full control of Transformers from Takara by the late 1980s, sales declined until the toy line was discontinued in 1991. After the failed Generation 2 reboot, Beast Wars rejuvenated the franchise in 1995.
In 2007, the live-action Transformers film solidified Transformers' position as Hasbro's flagship toy line.
Series: The Toys that Made Us

Lego

   2018    Technology
In 1949, after decades of making wooden furniture and toys, Ole Kirk Christiansen's small factory in Billund, Denmark, moved to plastic and created the 'Automatic Binding Bricks', which would later be known as LEGO. When the company patented the tube system in 1958, LEGO became the dominant toy line worldwide throughout the 1960s and 1970s. When other competitors capitalized on the expiration of the company's patents in the 1980s, LEGO faced stiff competition until they reported their first loss in 1998. Poor business decisions with film licenses and the failure of the Jack Stone and Galidor lines brought LEGO to near-bankruptcy until Jørgen Vig Knudstorp took over the company and, by bringing it back to its roots, rejuvenated LEGO's profits.
By the time The Lego Movie hit theaters in 2014, LEGO became the largest toy franchise in the world.
Series: The Toys that Made Us

The Promise

   2019    Technology
More than 90% of all crashes have a human driver as the cause. So if you want to solve traffic fatalities, the best solution is driverless vehicles. It's an ambitious goal, but only possible because of the recent breakthroughs in deep learning. Artificial intelligence is one of those key pieces that has made it possible now to do driverless cars where it wasn't possible ten years ago. For computers, until very, very recently, to do even the most basic visual tasks, like seeing a picture of a person and knowing that it's a person was remarkably hard. That's obviously fundamental to being able to understand the world around you with the sensors that you have. And we've made also gigantic strides in being able to perform complex tasks.
Series: In the Age of AI

The Future of Work

   2019    Technology
A.I. can be used in many ways that are very beneficial for society. But the current use of A.I. isn't necessarily aligned with the goals of building a better society, unfortunately. But, but we could change that. A.I. will be viewed as an age of enlightenment. Our children and their children will see A.I. as serendipity, that A.I. is here to liberate us from having to do routine jobs, and push us to do what we love, and push us to think what it means to be human. But what if humans mishandle this new power?
Series: In the Age of AI

Love a Bot

   2017    Technology
Here's a growing trend in artificial intelligence. Dating video games and other applications let users carry on virtual relationships with computerized girlfriends ranging from career women to Japanese schoolgirls. There's even something for the ladies. How soon will there be artificial intelligence of such complexity that protecting its well-being and rights becomes a serious political and social concern? In what year will there be an app or computer program or a device that you not only love but that possibly, within the realm of believability might actually love you ...back?
Series: Mind Field Season 1

The Surveillance Capitalists

   2019    Technology
Everywhere you go, you generate a cloud of data. You're trailing data, everything that you do is producing data. And then there are computers looking at that data that are learning, and these computers are essentially trying to serve you better. They're trying to personalize things to you. They're trying to adapt the world to you. So on the one hand, this is great, because the world will get adapted to you without you even having to explicitly adapt it. There's also a danger, because the entities in the companies that are in control of those algorithms don't necessarily have the same goals as you, and this is where I think people need to be aware that, what's going on, so they can have more control over it.
We came into this new world thinking that we were users of social media and search engines. It didn't occur to us that social media and search engines were actually using us.
Series: In the Age of AI
Zeitgeist

Zeitgeist

2007  Culture
Neanderthal

Neanderthal

  History
Myths and Heroes

Myths and Heroes

2005  History
Meet the Romans

Meet the Romans

2012  History
Catalyst

Catalyst

2017  Science