1 00:00:00,040 --> 00:00:10,440 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is a breaking 2 00:00:10,520 --> 00:00:15,440 Speaker 1: news update from Bloomberg. Instant reaction and analysis from our 3 00:00:15,480 --> 00:00:20,440 Speaker 1: three thousand journalists and analysts around the world. Tesla earnings. 4 00:00:20,440 --> 00:00:22,759 Speaker 1: The company posted third quarter profit that fell short of 5 00:00:22,760 --> 00:00:26,640 Speaker 1: Wall Street's expectations despite record EV sales. It's a sign 6 00:00:26,680 --> 00:00:29,360 Speaker 1: of the pressure that automakers are facing from shifting federal 7 00:00:29,400 --> 00:00:33,000 Speaker 1: policies and rising costs. I want to bring in Ed Ludlow. 8 00:00:33,040 --> 00:00:35,879 Speaker 1: He's the cost of Bloomberg at Tech on Bloomberg Television. 9 00:00:35,920 --> 00:00:39,360 Speaker 1: He joins us from our San Francisco bureau. Really interesting 10 00:00:39,560 --> 00:00:42,320 Speaker 1: number when it comes to cash flow, free cash flow 11 00:00:42,440 --> 00:00:44,880 Speaker 1: ED third quarter free cash flow three point nine to 12 00:00:44,920 --> 00:00:47,520 Speaker 1: nine billion dollars. The estimate was for one point two 13 00:00:47,600 --> 00:00:49,720 Speaker 1: five billion dollars. Why. 14 00:00:49,880 --> 00:00:54,920 Speaker 2: How funny? I just posted the IB on the Bloomberg terminal. Hey, team, 15 00:00:55,520 --> 00:00:59,120 Speaker 2: free cash flow so much higher? Why question mark answer 16 00:00:59,200 --> 00:01:03,240 Speaker 2: from editors and other reporters energy storage question mark that's 17 00:01:03,280 --> 00:01:05,600 Speaker 2: to say, don't know. I mean, I've read so much 18 00:01:05,680 --> 00:01:06,679 Speaker 2: of the deck already. 19 00:01:06,880 --> 00:01:09,320 Speaker 1: Well, I want to I want to help us out. 20 00:01:09,360 --> 00:01:13,040 Speaker 1: Add because Thomas Thornton over at Hedge funt Ptelemetry sending 21 00:01:13,600 --> 00:01:17,959 Speaker 1: an ib to me during the simulcast. He said, inventory 22 00:01:18,040 --> 00:01:21,639 Speaker 1: cleared out with EV subsidies ending, that's why cash flow 23 00:01:22,200 --> 00:01:24,240 Speaker 1: was strong. Was this about inventories? 24 00:01:25,800 --> 00:01:29,400 Speaker 2: Remember that the number from the third quarter, which was 25 00:01:29,480 --> 00:01:32,760 Speaker 2: josh Shi of five hundred thousand vehicles, was heavily influenced 26 00:01:32,840 --> 00:01:38,840 Speaker 2: by the expiry of the federal tax credit on consumer evs. 27 00:01:39,319 --> 00:01:45,360 Speaker 2: In part, Tesla did additional promotional activity around that. So 28 00:01:45,640 --> 00:01:47,720 Speaker 2: you know elsewhere on the bottom line, you know, if 29 00:01:47,720 --> 00:01:52,160 Speaker 2: it's EPs or other metrics, they've missed on part because 30 00:01:52,160 --> 00:01:55,080 Speaker 2: of those factors, right, you know, the discounting and other 31 00:01:55,120 --> 00:01:57,320 Speaker 2: promotion they did. Inventory will be a factor. We've been 32 00:01:57,360 --> 00:02:00,400 Speaker 2: tracking a build up in inventory that Tesla had going 33 00:02:00,400 --> 00:02:04,040 Speaker 2: into that period. But remember they also saw an inventory 34 00:02:04,040 --> 00:02:06,920 Speaker 2: build up ahead of the cheaper model Y Model three 35 00:02:07,000 --> 00:02:09,680 Speaker 2: standard coming out, with some consumers holding off because they 36 00:02:09,760 --> 00:02:12,040 Speaker 2: knew that some kind of product was going to be 37 00:02:12,120 --> 00:02:16,400 Speaker 2: unveiled in the month of October. But what I would 38 00:02:16,440 --> 00:02:19,560 Speaker 2: say is that when we talk about the bottom line broadly, 39 00:02:20,480 --> 00:02:23,919 Speaker 2: Tesla is listing a very long laundry list of impacts here, 40 00:02:24,240 --> 00:02:28,240 Speaker 2: branking from tariffs, fiscal policy, R and D costs, the 41 00:02:28,280 --> 00:02:32,079 Speaker 2: mix of vehicles they sell, but this isn't severe by 42 00:02:32,080 --> 00:02:34,680 Speaker 2: any means, right, you know, this is the market selling 43 00:02:34,720 --> 00:02:35,600 Speaker 2: news basically. 44 00:02:35,840 --> 00:02:38,320 Speaker 3: Well, what's interesting is both you and our Dana Hall 45 00:02:38,800 --> 00:02:42,160 Speaker 3: on our Live Tesla blog pointing that out. You know, 46 00:02:42,520 --> 00:02:44,720 Speaker 3: it is difficult to measure the impacts of shifting global 47 00:02:44,720 --> 00:02:47,640 Speaker 3: trade and fiscal policies and the automotive and energy supply chains, 48 00:02:47,680 --> 00:02:50,840 Speaker 3: our cost structure, demand for durable goods and related services. 49 00:02:50,880 --> 00:02:56,079 Speaker 3: As you say, they are reminding everyone that the business. 50 00:02:56,200 --> 00:02:59,560 Speaker 3: I mean, there's a lot of factories, of factories, factors 51 00:02:59,760 --> 00:03:02,760 Speaker 3: that are going to involve that are going to impact 52 00:03:02,760 --> 00:03:05,920 Speaker 3: their business. I feel like they're managing and maybe with 53 00:03:06,000 --> 00:03:07,720 Speaker 3: some negative tone going forward. 54 00:03:08,440 --> 00:03:12,440 Speaker 2: Yeah. I mean one sort of specific example is that 55 00:03:12,560 --> 00:03:15,360 Speaker 2: when you introduce a new product and you have to 56 00:03:15,440 --> 00:03:19,239 Speaker 2: install the assembly line for that product, there are downtime 57 00:03:19,440 --> 00:03:23,160 Speaker 2: and installation costs associated with that. It impacts how you 58 00:03:23,200 --> 00:03:27,040 Speaker 2: produce other products. That shows up in financials. In this case, 59 00:03:27,320 --> 00:03:29,920 Speaker 2: they haven't really given us a big picture outlook for 60 00:03:29,960 --> 00:03:32,680 Speaker 2: their growth for this calendar year or next year or 61 00:03:32,720 --> 00:03:35,520 Speaker 2: going forward. They have told us that they are doing 62 00:03:35,560 --> 00:03:38,640 Speaker 2: things like ramping the standard models of the three and 63 00:03:38,680 --> 00:03:42,160 Speaker 2: the why and now they've installed the assembly line for Optimus, 64 00:03:42,440 --> 00:03:45,800 Speaker 2: the humanoid robots. So like I'm talking about in factories 65 00:03:45,800 --> 00:03:49,760 Speaker 2: in Texas and I'm assuming elsewhere down the line, they're like, Okay, 66 00:03:49,760 --> 00:03:51,840 Speaker 2: we've got to find space to build an assembly line 67 00:03:51,880 --> 00:03:55,360 Speaker 2: here for a humanoid robot, and that will have an impact. 68 00:03:55,520 --> 00:03:57,400 Speaker 2: But the way I've summarized it in the blog is 69 00:03:57,960 --> 00:04:00,960 Speaker 2: there are two paragraphs in the deck that are explaining 70 00:04:01,000 --> 00:04:04,560 Speaker 2: to us the macro environment is changing and fiscal policy 71 00:04:04,600 --> 00:04:06,960 Speaker 2: is changing, and Tesla is trying to say, we're kind 72 00:04:06,960 --> 00:04:08,960 Speaker 2: of in transition here, bear with us. 73 00:04:09,920 --> 00:04:12,680 Speaker 1: What where are those I want to know what those like? 74 00:04:12,760 --> 00:04:15,080 Speaker 1: What is the transition that's happening right now? This is 75 00:04:15,120 --> 00:04:17,560 Speaker 1: a macro and this is the context too, ad is 76 00:04:17,600 --> 00:04:20,360 Speaker 1: this is somebody who was very close to the president 77 00:04:20,400 --> 00:04:23,640 Speaker 1: and was very close to you know, during the election, 78 00:04:23,960 --> 00:04:26,719 Speaker 1: before the election, and then after the election for a 79 00:04:26,720 --> 00:04:29,039 Speaker 1: good time as well. Well. 80 00:04:29,160 --> 00:04:32,240 Speaker 2: The direct answer is that tariffs have had an impact. 81 00:04:32,320 --> 00:04:35,320 Speaker 2: They've listed it in the negative column on profit, so 82 00:04:35,440 --> 00:04:38,560 Speaker 2: that's across both the consumer ev business and the energy 83 00:04:38,560 --> 00:04:41,480 Speaker 2: storage business, you know. As it relates to that free 84 00:04:41,480 --> 00:04:43,560 Speaker 2: cash flow question, they do say in the free cash 85 00:04:43,560 --> 00:04:47,560 Speaker 2: flow section of the deck that not only did they 86 00:04:47,560 --> 00:04:50,920 Speaker 2: have record deliveries in that court of gone energy products 87 00:04:51,400 --> 00:04:56,520 Speaker 2: were more higher volume, but policy is not really supporting 88 00:04:56,520 --> 00:04:58,600 Speaker 2: that right now, at least not in the United States 89 00:04:58,680 --> 00:05:01,679 Speaker 2: right So I think for them, it's just this idea 90 00:05:01,839 --> 00:05:05,320 Speaker 2: that the world, the direction of travel we were moving 91 00:05:05,360 --> 00:05:09,760 Speaker 2: towards for sustainable energy, you know, transition from gas engine 92 00:05:09,839 --> 00:05:12,800 Speaker 2: or combustion engine TV. It's not there right now. And 93 00:05:12,800 --> 00:05:15,400 Speaker 2: what they explain in those two paragraphs is they're trying 94 00:05:15,440 --> 00:05:17,640 Speaker 2: to invest into it. A lot of R and D 95 00:05:17,800 --> 00:05:21,080 Speaker 2: costs for these future products are robots and rotos? 96 00:05:21,160 --> 00:05:22,240 Speaker 1: Is there an appetite for that? 97 00:05:22,320 --> 00:05:22,520 Speaker 2: Is there? 98 00:05:22,720 --> 00:05:24,480 Speaker 1: I mean, are they building a product that people want? 99 00:05:24,520 --> 00:05:28,120 Speaker 1: I know that you Steve Jobs famously was talking about 100 00:05:28,160 --> 00:05:31,240 Speaker 1: building products that people didn't know that they wanted, but 101 00:05:31,240 --> 00:05:33,400 Speaker 1: then ended up wanting them when they saw them. But 102 00:05:33,480 --> 00:05:35,160 Speaker 1: do we want do we want here? Do we need 103 00:05:35,160 --> 00:05:38,039 Speaker 1: these humanoid robots? Is there a market for this? So? 104 00:05:39,640 --> 00:05:43,440 Speaker 2: Elon Musk and Tesla are once again behind their prior forecast. 105 00:05:43,480 --> 00:05:47,120 Speaker 2: If you guys remember, the original Optimus forecast was that 106 00:05:47,160 --> 00:05:49,680 Speaker 2: by the end of this year there would be meaningful 107 00:05:49,720 --> 00:05:54,080 Speaker 2: volumes of them working within Tesla facilities, and that doesn't 108 00:05:54,080 --> 00:05:56,960 Speaker 2: appear to be the case. Yet the way that they 109 00:05:57,120 --> 00:05:59,200 Speaker 2: are pitching it is a way that the rest of 110 00:05:59,240 --> 00:06:03,200 Speaker 2: the humanoid roble industry pitches it at least, which is 111 00:06:03,240 --> 00:06:08,240 Speaker 2: that we have a labor deficit in some industries, heavy industry, agriculture, 112 00:06:08,560 --> 00:06:11,840 Speaker 2: and that economically, at a macro level, optimist is going 113 00:06:11,880 --> 00:06:14,560 Speaker 2: to fill that void. So to answer your question, Tim, 114 00:06:14,560 --> 00:06:17,720 Speaker 2: they would say that the demand is justified or evidenced 115 00:06:17,760 --> 00:06:21,120 Speaker 2: by the lack of labor in certain workforces. Whether a 116 00:06:21,160 --> 00:06:23,160 Speaker 2: consumer wants to go out and buy one for tens 117 00:06:23,160 --> 00:06:25,560 Speaker 2: of thousands of dollars, that bit we just don't have 118 00:06:25,640 --> 00:06:26,520 Speaker 2: the answer to yet. 119 00:06:26,560 --> 00:06:29,040 Speaker 1: I want to bring in Ross Gerber. He's the president 120 00:06:29,160 --> 00:06:32,960 Speaker 1: and CEO of Gerber Kawasaki Wealth and Investment and Management 121 00:06:33,160 --> 00:06:35,640 Speaker 1: got more than three billion dollars in assets under management. 122 00:06:35,880 --> 00:06:40,200 Speaker 1: He joins us from Santa Monica, California. Ross, you now 123 00:06:40,240 --> 00:06:44,000 Speaker 1: have about eighty million dollars of Tesla shares, down from 124 00:06:44,000 --> 00:06:47,360 Speaker 1: one hundred million earlier this year. At your peak, how 125 00:06:47,440 --> 00:06:48,800 Speaker 1: much Tesla stock did you own? 126 00:06:50,760 --> 00:06:55,839 Speaker 4: I think we had about one and a half times 127 00:06:55,880 --> 00:06:58,400 Speaker 4: more than we have today, so that's not that much more. 128 00:07:00,000 --> 00:07:03,280 Speaker 4: You know, We've got our position by sixty percent, so 129 00:07:03,320 --> 00:07:04,600 Speaker 4: that's that's fairly large. 130 00:07:04,680 --> 00:07:07,360 Speaker 1: Are you Are you buying or selling today or buying 131 00:07:07,480 --> 00:07:08,240 Speaker 1: or selling right now? 132 00:07:09,080 --> 00:07:12,080 Speaker 4: Neither neither. You know, you know Tesla as a hold 133 00:07:12,120 --> 00:07:14,400 Speaker 4: for us. You know, the people who are holding the 134 00:07:14,440 --> 00:07:17,200 Speaker 4: stock at our firm, our clients very much believe in 135 00:07:17,240 --> 00:07:19,480 Speaker 4: Tesla and don't want to let go of their shares 136 00:07:19,840 --> 00:07:22,480 Speaker 4: at all. And then you know, the clients that don't 137 00:07:22,480 --> 00:07:25,760 Speaker 4: want to own Tesla don't own Tesla anymore. But we're 138 00:07:25,760 --> 00:07:29,440 Speaker 4: not recommending to buy Tesla or per Se more likely 139 00:07:29,640 --> 00:07:32,560 Speaker 4: recommending to sell Tesla for investors up at these prices 140 00:07:32,720 --> 00:07:35,840 Speaker 4: because you're getting such a premium valuation. But in general, 141 00:07:35,880 --> 00:07:38,800 Speaker 4: we've just been holding the stock because you know, we're 142 00:07:38,880 --> 00:07:41,120 Speaker 4: kind of stuck with our position right now. 143 00:07:41,160 --> 00:07:43,320 Speaker 1: What about you, we because we check in with you 144 00:07:43,400 --> 00:07:46,440 Speaker 1: quarterly and you you've really changed your position on the 145 00:07:46,440 --> 00:07:49,120 Speaker 1: company in recent years in recent quarters, and your position 146 00:07:49,120 --> 00:07:51,240 Speaker 1: on Elon Musk too. Are you a believer in the 147 00:07:51,240 --> 00:07:51,960 Speaker 1: company right now? 148 00:07:53,440 --> 00:07:53,920 Speaker 2: Yes, and no. 149 00:07:54,200 --> 00:07:57,720 Speaker 4: I still own Tesla stock as well personally, not a lot, 150 00:07:57,800 --> 00:07:59,560 Speaker 4: but you know, I like to have some because I 151 00:07:59,600 --> 00:08:02,000 Speaker 4: bought it at a dollar a share or a dollar fifty, 152 00:08:02,040 --> 00:08:04,000 Speaker 4: so it's like fun to have in my portfolio still. 153 00:08:04,040 --> 00:08:08,960 Speaker 4: But that said, you know, I don't know what's going 154 00:08:09,040 --> 00:08:12,280 Speaker 4: to happen with full self driving. I just don't think 155 00:08:12,280 --> 00:08:15,200 Speaker 4: it works, and I think vision only systems don't work. 156 00:08:15,640 --> 00:08:18,480 Speaker 4: And I'm very sure of this now. Even though I'm 157 00:08:18,480 --> 00:08:21,480 Speaker 4: not an engineer, I can explain to you how humans drive. 158 00:08:21,720 --> 00:08:23,800 Speaker 4: And I don't think Elon gets how humans work. I 159 00:08:23,840 --> 00:08:27,239 Speaker 4: think he gets how machines work. And so I think 160 00:08:27,280 --> 00:08:30,080 Speaker 4: that Tesla's in a pickle. If they can solve full 161 00:08:30,280 --> 00:08:32,600 Speaker 4: full self driving, like I could get in my car 162 00:08:32,720 --> 00:08:34,640 Speaker 4: right now and push a button and it drives me home, 163 00:08:34,840 --> 00:08:36,680 Speaker 4: Like I can get in a weaym right now and 164 00:08:36,760 --> 00:08:39,720 Speaker 4: it'll drive me home no problem. Then I think Tesla 165 00:08:39,760 --> 00:08:42,000 Speaker 4: has a reason to buy the stock because now they've 166 00:08:42,000 --> 00:08:44,520 Speaker 4: got their products working and they can grow from there. 167 00:08:44,640 --> 00:08:47,200 Speaker 4: But as far as waiting for robots and cabs to 168 00:08:47,240 --> 00:08:49,760 Speaker 4: pay off, it doesn't matter if full self driving doesn't work. 169 00:08:49,760 --> 00:08:52,400 Speaker 4: And full self driving doesn't work, so nothing's going to 170 00:08:52,440 --> 00:08:54,920 Speaker 4: get me excited about Tesla until it drives me home. 171 00:08:55,679 --> 00:09:00,000 Speaker 3: All right, good stuff, we're talking with Ross Gerber and alone. 172 00:09:00,040 --> 00:09:01,599 Speaker 3: I know you're reading over stuff. Come on into the 173 00:09:01,640 --> 00:09:03,800 Speaker 3: conversation with Roth. 174 00:09:05,040 --> 00:09:07,360 Speaker 2: Yeah, I mean you know, just going through the deck. 175 00:09:07,800 --> 00:09:10,240 Speaker 2: The way that Tesla explains it is that they had 176 00:09:10,320 --> 00:09:13,839 Speaker 2: lower FSD revenue recognition in this quarter because of the 177 00:09:13,880 --> 00:09:17,600 Speaker 2: timing of previous generation releases of FSD in the same 178 00:09:17,640 --> 00:09:21,160 Speaker 2: period a year ago. You know, I'm not a Tesla shareholder, 179 00:09:21,240 --> 00:09:23,920 Speaker 2: as you guys know, but I do drive a Model 180 00:09:24,040 --> 00:09:26,240 Speaker 2: Y in fact, and I use FSD every day for 181 00:09:26,280 --> 00:09:30,319 Speaker 2: about sixty miles thirty miles to work thirty miles back. 182 00:09:30,360 --> 00:09:33,520 Speaker 2: I'm not on version fourteen yet. But Ross is speaking 183 00:09:33,559 --> 00:09:37,320 Speaker 2: to the question, which is always there. Explain the jump 184 00:09:37,480 --> 00:09:41,600 Speaker 2: or the steps to the end result, the end state. 185 00:09:42,000 --> 00:09:45,680 Speaker 2: The end state is robotaxi, right if Tesla is to 186 00:09:45,720 --> 00:09:49,160 Speaker 2: be believed, And right now, you know, the streets seems 187 00:09:49,240 --> 00:09:53,360 Speaker 2: kind of split on whether we understand how we go 188 00:09:53,440 --> 00:09:56,040 Speaker 2: from a software platform that consumers pay for as a 189 00:09:56,040 --> 00:09:59,240 Speaker 2: one offer a subscription package to a world where the 190 00:09:59,360 --> 00:10:03,679 Speaker 2: vehicles built on a common software platform or iterations of 191 00:10:03,720 --> 00:10:07,760 Speaker 2: that platform power a rope proprietary ride hailing robotaxi service. 192 00:10:08,160 --> 00:10:10,680 Speaker 2: You know, it's difficult to see the jump, and Ross 193 00:10:10,760 --> 00:10:14,360 Speaker 2: can speak for himself, but just in the reporting, that's 194 00:10:14,400 --> 00:10:15,600 Speaker 2: what we hear all the time. 195 00:10:17,080 --> 00:10:19,360 Speaker 4: Yeah, I mean You're one hundred percent right in that 196 00:10:19,400 --> 00:10:22,800 Speaker 4: these are completely different businesses, right, Like selling cars that 197 00:10:22,920 --> 00:10:26,280 Speaker 4: drive themselves is an Apple business model, And that's why 198 00:10:26,320 --> 00:10:29,000 Speaker 4: I always love Tesla. When I first found Tesla, I 199 00:10:29,040 --> 00:10:30,840 Speaker 4: was like, this is the Apple of cars, right, Like 200 00:10:31,120 --> 00:10:33,880 Speaker 4: you build hardware and with great software, and then you 201 00:10:33,920 --> 00:10:37,800 Speaker 4: make money on services, right And that's really where Tesla's 202 00:10:37,840 --> 00:10:39,920 Speaker 4: making a ton of money right now is on services 203 00:10:39,960 --> 00:10:43,079 Speaker 4: and energy storage, which are still great businesses for Tesla. 204 00:10:43,520 --> 00:10:46,680 Speaker 4: But when you talk about building an Uber like platform, 205 00:10:47,000 --> 00:10:50,280 Speaker 4: this is an extremely difficult thing that it took Uber 206 00:10:50,320 --> 00:10:53,120 Speaker 4: almost a decade or more to make money doing, and 207 00:10:53,200 --> 00:10:56,000 Speaker 4: Uber is very very good at this now, and the 208 00:10:56,080 --> 00:10:58,199 Speaker 4: only way they've been able to make money is by 209 00:10:58,280 --> 00:11:01,800 Speaker 4: charging substantially more for the because Uber is not cheap 210 00:11:01,840 --> 00:11:04,920 Speaker 4: anymore and they had to subsidize rides for a decade 211 00:11:05,240 --> 00:11:07,839 Speaker 4: just to build that business. So when you actually think 212 00:11:07,840 --> 00:11:11,640 Speaker 4: about Tesla scaling, if there was no competition, that'd be 213 00:11:11,640 --> 00:11:15,400 Speaker 4: one thing. But there's already several cab services I can 214 00:11:15,440 --> 00:11:18,480 Speaker 4: take right now, whether it be Uber, Lyft or waimup 215 00:11:18,800 --> 00:11:21,240 Speaker 4: that are all very good at what they do. So 216 00:11:21,800 --> 00:11:25,240 Speaker 4: you know, even if Tesla gets this to work, it's 217 00:11:25,320 --> 00:11:28,120 Speaker 4: still a tough business. And the second thing I would 218 00:11:28,120 --> 00:11:30,560 Speaker 4: just say, a you use full self driving a lot. 219 00:11:30,640 --> 00:11:34,679 Speaker 4: Obviously you probably if I asked, do you feel comfortable 220 00:11:35,000 --> 00:11:37,400 Speaker 4: turning it on and going into the backseat of your 221 00:11:37,400 --> 00:11:40,120 Speaker 4: car and letting you drive that full thirty miles home. 222 00:11:41,120 --> 00:11:44,240 Speaker 2: I've never done that or attempted it, and I think 223 00:11:44,240 --> 00:11:46,600 Speaker 2: you know, I post quite a lot on X my experiences, 224 00:11:46,679 --> 00:11:49,160 Speaker 2: like I say today, this is what happened. You know, 225 00:11:49,440 --> 00:11:50,839 Speaker 2: I would never get in the back of the car 226 00:11:50,880 --> 00:11:53,440 Speaker 2: and turn it on. I also would not put my 227 00:11:53,559 --> 00:11:55,920 Speaker 2: little baby boy in it either. But the way that 228 00:11:55,960 --> 00:12:00,280 Speaker 2: I've tried to track it is generation by generation. How 229 00:12:00,320 --> 00:12:02,960 Speaker 2: has it improved on the route that I take every day? 230 00:12:03,080 --> 00:12:05,320 Speaker 2: The one area is really struggled, as with the toll 231 00:12:05,360 --> 00:12:08,320 Speaker 2: boobs on the Golden Gate Bridge. You know that can 232 00:12:08,360 --> 00:12:10,360 Speaker 2: be precarious and you can see my posts on that 233 00:12:10,640 --> 00:12:14,440 Speaker 2: on your point in the in the AI graph of 234 00:12:14,559 --> 00:12:17,520 Speaker 2: the shareholder deck. The way that Tester explains it is 235 00:12:17,559 --> 00:12:20,679 Speaker 2: that the latest version of FSD, they say, has a 236 00:12:20,720 --> 00:12:24,240 Speaker 2: substantial amount of the source code in the Robotaxi version, 237 00:12:24,559 --> 00:12:27,000 Speaker 2: and by putting it out into the real world, it 238 00:12:27,040 --> 00:12:30,480 Speaker 2: gives them valuable real world data to help them improve 239 00:12:30,480 --> 00:12:33,400 Speaker 2: a future robo taxi service. Don't I don't weigh in 240 00:12:33,440 --> 00:12:34,959 Speaker 2: on that one way or the other. I'm just saying 241 00:12:35,160 --> 00:12:38,679 Speaker 2: that's Tesla's explanation on the link between the two, the 242 00:12:38,720 --> 00:12:42,280 Speaker 2: consumer facing FSD and the same code base that will 243 00:12:42,280 --> 00:12:45,000 Speaker 2: be used to power a future robotaxi service. 244 00:12:45,480 --> 00:12:48,959 Speaker 1: Hey, ed Ross made the point that he doesn't believe 245 00:12:49,040 --> 00:12:54,319 Speaker 1: vision only FSD or vision only self driving works. Can 246 00:12:54,360 --> 00:12:57,199 Speaker 1: you talk a little bit about that technology that Tesla 247 00:12:57,360 --> 00:13:04,200 Speaker 1: uses versus the other companies, namely Weima and Amazon Amazon 248 00:13:04,200 --> 00:13:05,240 Speaker 1: subsidiary as well. 249 00:13:06,040 --> 00:13:08,959 Speaker 2: Yeah, so very simple. When we say vision based system, 250 00:13:09,559 --> 00:13:13,240 Speaker 2: the inputs for the vehicle are only cameras on a Tesla. 251 00:13:13,720 --> 00:13:18,640 Speaker 2: The cameras capture optical data from around the vehicle and 252 00:13:20,080 --> 00:13:24,599 Speaker 2: use the underlying algorithm to make an onboard decision interpreting 253 00:13:24,600 --> 00:13:28,600 Speaker 2: the world around them. The opposite academic view is that 254 00:13:28,679 --> 00:13:31,400 Speaker 2: you need to paint a richer digital picture of the 255 00:13:31,440 --> 00:13:36,400 Speaker 2: world using other forms of data gathered by lidar, radar, 256 00:13:37,480 --> 00:13:39,920 Speaker 2: and in some cases even going beyond that. You know, 257 00:13:40,000 --> 00:13:43,320 Speaker 2: like there are varying degrees of lydar spinning or stationary 258 00:13:43,600 --> 00:13:44,079 Speaker 2: or static. 259 00:13:44,200 --> 00:13:44,560 Speaker 1: Sorry. 260 00:13:45,400 --> 00:13:48,120 Speaker 2: The economic argument that Tesla and Elon must have always 261 00:13:48,200 --> 00:13:52,280 Speaker 2: made is that having a vehicle that has multiple sensors 262 00:13:52,320 --> 00:13:55,720 Speaker 2: on it is not scalable. You know, there is no 263 00:13:56,000 --> 00:13:58,480 Speaker 2: end result where the vehicle could be affordable for a 264 00:13:58,559 --> 00:14:03,200 Speaker 2: consumer or fitotable for an operator of that system to run. 265 00:14:04,120 --> 00:14:07,280 Speaker 2: The other robotaxi companies like Weymoa or Zeukes, who do 266 00:14:07,440 --> 00:14:11,480 Speaker 2: have multiple sensors and custom versions of them, say that 267 00:14:11,880 --> 00:14:14,600 Speaker 2: you have to have them for redundancy. So if one 268 00:14:14,640 --> 00:14:18,679 Speaker 2: of those digital pictures fails, i e. The vision one, 269 00:14:18,760 --> 00:14:22,480 Speaker 2: the cameras fail, or the ID or radar fails, you 270 00:14:22,560 --> 00:14:25,280 Speaker 2: can still be safe because you have a rich enough 271 00:14:25,320 --> 00:14:27,960 Speaker 2: digital picture of the world around you for the vehicle 272 00:14:28,440 --> 00:14:31,800 Speaker 2: to make a decision based on the circumstances presented in 273 00:14:31,840 --> 00:14:32,320 Speaker 2: front of it. 274 00:14:32,400 --> 00:14:34,560 Speaker 3: All right, Lola, we know you've got some stuff to do. 275 00:14:36,080 --> 00:14:39,280 Speaker 3: Offer these earnings, so appreciate your input throughout the day 276 00:14:39,320 --> 00:14:42,360 Speaker 3: today and certainly off of Tesla's earnings. Ross, thank you 277 00:14:42,400 --> 00:14:45,000 Speaker 3: so much. Ross Gerber, President, chief executive officer of Gerbert 278 00:14:45,080 --> 00:14:48,160 Speaker 3: Kawasaki Wealth and Investment Management, more than three billion in 279 00:14:48,320 --> 00:14:50,800 Speaker 3: assets under management, and they own about eighty million dollars 280 00:14:50,840 --> 00:14:51,960 Speaker 3: worth of Tesla's shares