1 00:00:00,040 --> 00:00:02,320 Speaker 1: And talking about driving the bus, you won't have to 2 00:00:02,320 --> 00:00:05,640 Speaker 1: actually drive the bus very long, at least according to Uber. 3 00:00:05,760 --> 00:00:09,399 Speaker 1: For example, in Pittsburgh, they will be introducing a fleet 4 00:00:09,440 --> 00:00:14,800 Speaker 1: of self driving automobiles this summer. Max Chafkin is technology 5 00:00:14,840 --> 00:00:18,280 Speaker 1: reporter for Bloomberg Business Week. You can be followed on 6 00:00:18,320 --> 00:00:23,639 Speaker 1: Twitter at c H A F K I N. Chafkin. Alright, Chafkin, 7 00:00:24,000 --> 00:00:27,240 Speaker 1: you're gonna get in one of those autonomous Volvos that 8 00:00:27,320 --> 00:00:29,920 Speaker 1: the Uber is going to be presenting in Pittsburgh. I 9 00:00:29,920 --> 00:00:32,519 Speaker 1: have to tell you I was in one of Uber's 10 00:00:32,560 --> 00:00:35,479 Speaker 1: self driving cars in Pittsburgh last month as part of 11 00:00:35,479 --> 00:00:39,440 Speaker 1: the reporting on this story. Um, this is huge news 12 00:00:39,440 --> 00:00:41,480 Speaker 1: in the world of self driving cars, and I guess 13 00:00:41,560 --> 00:00:44,040 Speaker 1: more broadly in the in the tech world, which has 14 00:00:44,040 --> 00:00:47,680 Speaker 1: been sort of uh, you know, vaulting towards this space. 15 00:00:47,720 --> 00:00:51,279 Speaker 1: Google and Apple of course are both plotting sort of 16 00:00:51,680 --> 00:00:55,160 Speaker 1: self driving Uber like services. And what Uber has done, 17 00:00:55,240 --> 00:00:59,840 Speaker 1: although they are probably not ahead of of Google technologically, 18 00:01:00,160 --> 00:01:03,279 Speaker 1: they went to market fast and um which has kind 19 00:01:03,320 --> 00:01:06,120 Speaker 1: of been there their calling card, and and so that's 20 00:01:06,319 --> 00:01:09,520 Speaker 1: pretty crazy. The other thing that we're reporting in the 21 00:01:09,600 --> 00:01:13,520 Speaker 1: story that's out today for Business Week is that Uber 22 00:01:13,680 --> 00:01:16,280 Speaker 1: is buying a company called Auto, which is a driverless 23 00:01:16,280 --> 00:01:20,160 Speaker 1: truck company that was founded by a number of key 24 00:01:20,240 --> 00:01:23,840 Speaker 1: members of the Google self driving car, the UM team. 25 00:01:23,920 --> 00:01:27,039 Speaker 1: So they're paying something like a little under seven hundred million, 26 00:01:27,120 --> 00:01:29,919 Speaker 1: we think. UM, so it's really a big coup for 27 00:01:29,920 --> 00:01:32,200 Speaker 1: for Uber in this kind of race to be first 28 00:01:32,920 --> 00:01:38,800 Speaker 1: in self driving. Your story notes, of course that Pittsburgh 29 00:01:38,880 --> 00:01:44,720 Speaker 1: is home to Carnegie Mellon Universities Robotics department, and that 30 00:01:45,280 --> 00:01:48,800 Speaker 1: Google worked with CMU to get this off the ground. 31 00:01:48,800 --> 00:01:50,800 Speaker 1: Tell us about that part of the story. So this 32 00:01:50,880 --> 00:01:53,400 Speaker 1: is kind of an angle that UM. You know, I 33 00:01:53,400 --> 00:01:56,440 Speaker 1: don't think everyone realizes, but CMU is like the place 34 00:01:56,520 --> 00:01:59,600 Speaker 1: to do robotics UH and machine learning research in the 35 00:01:59,680 --> 00:02:03,640 Speaker 1: United States. UM Sebastian Throne, who was the guy who 36 00:02:03,640 --> 00:02:08,400 Speaker 1: created the Google self driving car, UM was a professor there. 37 00:02:08,440 --> 00:02:11,320 Speaker 1: The guy who who was running the Google program and 38 00:02:11,400 --> 00:02:14,519 Speaker 1: just left, Chris Urmson. Came out of CMU. What Uber did, 39 00:02:14,800 --> 00:02:16,800 Speaker 1: and this is this was sort of mind blowing in 40 00:02:16,840 --> 00:02:20,240 Speaker 1: the world of of academia. Eighteen months ago. Basically went 41 00:02:20,280 --> 00:02:24,760 Speaker 1: to Pittsburgh and hired forty researchers at CMU and basically 42 00:02:24,800 --> 00:02:28,440 Speaker 1: one fell swoop shook things up in the in the 43 00:02:28,520 --> 00:02:31,960 Speaker 1: robotics department, in the robotics field, and UM since then, 44 00:02:32,000 --> 00:02:34,720 Speaker 1: you know, CMU has has hired new professors that they 45 00:02:34,760 --> 00:02:37,280 Speaker 1: seem to be doing fine. But Uber has UM, you know, 46 00:02:37,440 --> 00:02:41,040 Speaker 1: created this pretty impressive team in Pittsburgh that has like 47 00:02:41,160 --> 00:02:44,600 Speaker 1: five people. They're also, as we reported in the story, 48 00:02:45,000 --> 00:02:47,919 Speaker 1: they're opening uh two new offices, one in Palo Alto, 49 00:02:48,040 --> 00:02:51,640 Speaker 1: one in San Francisco. So we're seeing self driving cars 50 00:02:51,639 --> 00:02:55,639 Speaker 1: in Pittsburgh, UM, you know starting now or soon uh 51 00:02:55,639 --> 00:02:57,919 Speaker 1: in next you know, a couple of weeks. Uh, I 52 00:02:57,960 --> 00:02:59,919 Speaker 1: wouldn't be shocked if we start to see them in 53 00:03:00,200 --> 00:03:05,520 Speaker 1: Palo Alto and in San Francisco. Max. The cars, these Volvos, 54 00:03:05,639 --> 00:03:09,000 Speaker 1: these x C nine SUVs. UH, they're made by Volvo. 55 00:03:09,080 --> 00:03:12,639 Speaker 1: Volvo of course owned by China's Geely Holding a group. 56 00:03:13,320 --> 00:03:15,280 Speaker 1: What kind of technology is going into Is this it 57 00:03:15,680 --> 00:03:18,880 Speaker 1: proprietary or they're using chips? I mean we heard yesterday 58 00:03:18,919 --> 00:03:22,840 Speaker 1: from Mark Fields, the chief executive Afford uh talking about 59 00:03:23,000 --> 00:03:28,280 Speaker 1: veladne uh Lighter, the sensor technology company. What goes into 60 00:03:28,280 --> 00:03:31,079 Speaker 1: these cars? So it's all a little bit fuzzy right now. 61 00:03:31,120 --> 00:03:32,520 Speaker 1: But let me let me tell you what we know 62 00:03:32,840 --> 00:03:35,640 Speaker 1: one is that and we reported this today, but Uber 63 00:03:35,640 --> 00:03:38,800 Speaker 1: Involvo will spend three million dollars together to develop a 64 00:03:38,880 --> 00:03:42,600 Speaker 1: base car. Now that car, what I would imagine is 65 00:03:42,720 --> 00:03:45,320 Speaker 1: it will come out sort of as a Volvo self 66 00:03:45,400 --> 00:03:50,880 Speaker 1: driving car by one and a Uber Taxi version around 67 00:03:50,880 --> 00:03:53,360 Speaker 1: the same time. The cars that are out now are 68 00:03:53,680 --> 00:03:57,120 Speaker 1: basically modified Volvos. And and my I don't know for 69 00:03:57,200 --> 00:03:59,200 Speaker 1: sure like where the mix of labor is, but I 70 00:03:59,200 --> 00:04:01,600 Speaker 1: wouldn't be oct if I found out that most of 71 00:04:01,600 --> 00:04:04,640 Speaker 1: that was happening in Pittsburgh. One interesting thing about this 72 00:04:04,680 --> 00:04:07,720 Speaker 1: Auto acquisition you bring up light are Auto makes its 73 00:04:07,720 --> 00:04:11,400 Speaker 1: own lidar. So right now those cars in Pittsburgh are 74 00:04:11,520 --> 00:04:15,400 Speaker 1: using I believe Vela dine sensors. But I think one 75 00:04:15,400 --> 00:04:17,640 Speaker 1: of the things that interesting things about this acquisition is 76 00:04:17,839 --> 00:04:20,560 Speaker 1: they could probably bring that in house. And I think 77 00:04:20,600 --> 00:04:24,360 Speaker 1: that's almost certainly what's what they're thinking about. Safety, you know, 78 00:04:24,560 --> 00:04:28,159 Speaker 1: big concern, especially after the Tesla UH driver was killed 79 00:04:28,240 --> 00:04:31,000 Speaker 1: hitting a truck. Yeah, and and it's it's important to 80 00:04:31,000 --> 00:04:34,080 Speaker 1: say that first of all, with the pilot program, their 81 00:04:34,120 --> 00:04:36,800 Speaker 1: safety drivers in the cars, there are also co pilots 82 00:04:36,800 --> 00:04:38,960 Speaker 1: who are sitting there taking notes everything that happens in 83 00:04:38,960 --> 00:04:41,840 Speaker 1: the car is recorded, um, which is a little uh, 84 00:04:42,279 --> 00:04:45,640 Speaker 1: I mean, you know different, um. Uh. The other thing 85 00:04:45,800 --> 00:04:48,200 Speaker 1: is And this is something that Tesla has argued and 86 00:04:48,480 --> 00:04:52,120 Speaker 1: I think uber Um will argue as well. There's a 87 00:04:52,160 --> 00:04:55,160 Speaker 1: belief that not too long from now, it's going to 88 00:04:55,279 --> 00:04:58,159 Speaker 1: become clear that these things are safe and and so 89 00:04:58,320 --> 00:05:00,560 Speaker 1: and so, even though there are a few accidents, regulators 90 00:05:00,600 --> 00:05:03,320 Speaker 1: will come on board. Well, Max Chaffkin, Uh, I know 91 00:05:03,400 --> 00:05:05,560 Speaker 1: you're so glad you're gonna be tracking a force and 92 00:05:05,720 --> 00:05:08,240 Speaker 1: riding those self driving cars before I do. I want 93 00:05:08,240 --> 00:05:09,880 Speaker 1: to make sure they're safe before I hop on board. 94 00:05:09,880 --> 00:05:12,960 Speaker 1: Without those human monitors. Humans aren't safe either. There you go, 95 00:05:13,120 --> 00:05:15,960 Speaker 1: Max Chaffkin. Hey, I'm a great driver technology reporter for 96 00:05:16,000 --> 00:05:19,000 Speaker 1: Bloomberg Business Week. I'm Kathleen Hayes along with Pim Fox. 97 00:05:19,080 --> 00:05:19,960 Speaker 1: This is Bloomberg