Automate It
Wonder Cabinet
Wonder Cabinet Productions
4.8 • 1K Ratings
🗓️ 2 September 2017
⏱️ 53 minutes
🧾️ Download transcript
Summary
Automated machines are taking over our lives. They're not the scary robots you see in movies, but more and more of today's technology - from smart phones to airplanes - is automated. And some of the world's biggest companies are racing to come up with a "master algorithm" - a formula that will let machines learn anything. This could lead to self-driving cars and even a cure for cancer. But do we want to give machines so much control? The Quest for the Master Algorithm; App Intelligence; Is Automation Ruining Our Lives?; They Had Androids in the Enlightenment?; Stephen Wolfram on Computer Creativity; Garth Hallberg's "City on Fire".
Transcript
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| 0:00.0 | Support for WPR comes from Minnesota Marine Art Museum in Winona, presenting 10 exhibitions per year, |
| 0:06.8 | and home to masterworks by Picasso, Van Gogh, and Loitza's Washington Crossing the Delaware. |
| 0:12.5 | M.m.org |
| 0:14.3 | You may think you run your own life, but there's something out there running a lot of it for you. |
| 0:25.6 | Algorithms. Specifically learning algorithms. They're in your phone, your computer, your television, |
| 0:33.1 | every smart gadget you own, and they're shaping a lot of your daily life. |
| 0:38.3 | Amazon uses machine learning to recommend books, Netflix to recommend movies, |
| 0:43.3 | Google to decide what search results they return, Facebook for updates. |
| 0:47.3 | The stocks in your portfolio are probably traded by learning algorithms dating. |
| 0:51.3 | A third of all marriages today start on the internet, |
| 0:55.0 | and it's machine learning algorithms that select potential matches for you. |
| 0:59.0 | So there are children alive today who wouldn't have been born, if not for machine learning. |
| 1:03.0 | I'm Anne Strange, Amson. |
| 1:04.0 | Today, on to the best of our knowledge. |
| 1:06.0 | Machines that can program themselves are all around us, |
| 1:09.0 | and they get smarter every day. |
| 1:11.6 | And if they seem intelligent now, just wait. |
| 1:15.6 | Yeah, so here's one of the things that we're going to have in the future because of |
| 1:18.6 | the machine learning that we don't have today. Home robots. |
| 1:21.6 | We would all love to have robots that, you know, cook dinner for us and do the dishes and make the beds and whatnot. |
| 1:26.6 | You know, here's another one, curing cancer. |
| 1:29.3 | Why haven't we cured cancer yet? |
... |
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