机器翻译,已尽力保留原意与数字
内容摘要
马斯克与凯茜·伍德和 ARK Invest 谈论完全自动驾驶自主技术、指数级增长,以及 Tesla 相对于 Waymo 的竞争优势。
Musk talks with Cathie Wood and ARK Invest about full self-driving autonomy, exponential growth and Tesla's competitive edge over Waymo.
中文实录Transcript
45 个段落
第 1 段
嘿,大家好,我是扎克,我是杰西,你正在收看《现在你知道》的深入节目。[音乐] 所以,伊兰最近参加了凯茜·伍德的 ARK Invest 播客,节目名叫《fYI for Your Innovation》第 11 集,我们在下方放了链接,因为我们真的强烈建议你去听。这是大约 30 分钟的精彩问答。凯茜·伍德,她是 ARK Invest 的首席执行官、创始人兼首席执行官,这是一家价值数十亿美元的科技投资公司。仅供你参考,我们确实投资于我们的忏悔。凯茜希望公司积极投资,她感谢伊兰没有将公司私有化,因为凯茜认为 Tesla 需要公开市场来筹集资金,以迅速扩大规模、实现指数级增长并达成伊兰的目标。好了,所以我们想以一种逐项回顾的方式讲一遍
第 2 段
这里所说的内容,因为很多人谈到这个播客时说,嗯,还行吧,我们只是又听到了一堆以前已经听过的东西,没必要听它,而我的感觉不同。我觉得我们得到了很多细致入微的回答,如果你仔细看,这些回答会让你对正在发生的事情有很多深入了解,对吧?因为我的意思是,很多时候人们请伊兰上他们的节目,他们只是在问,比如,哦,什么是,什么是电动汽车?然后有人就说,好吧,电动汽车就是电动汽车,他们就说,哦,哇,哦,那非常有意思,然后就像,是的,确实如此。他们又说,那你怎么给它充电?他说,好吧,你把它插到这个叫超级充电桩的东西上,它就是这么工作的。然后就像,好吧,很好,接着采访
第 3 段
结束了,而你会想,哦,我,我之前知道的一切还是之前知道的一切,因为我关注埃隆·马斯克,而且我明白电动汽车是什么,而且你知道,人们不会深入问,比如,哦,给我讲讲 Autopilot,你知道,他们不会深入任何具体细节,而我们将会深入这些细节。凯茜说,在 ARK Invest,他们已经做了内部预测,他们看到 2018 年有 1.
第 4 段
300 万辆电动汽车的销量,他们对 2023 年做了什么预测?在 2023 年,他们预计电动汽车销量为 2600 万辆,那将约占 2023 年全球总销量的 1/3,也就是电动汽车,而且他们的依据仅仅是电池价格,仅仅是电池价格预计会下降,而这将导致 2023 年电动汽车销量达到 2600 万辆。是的,这是 20 倍的增长,伊兰说,听起来差不多,可能会相差 1 年或 2 年,但不会差太多。所以凯茜对 Tesla 股票做了熊市和牛市分析,因此她给出的低端价格是 700 美元,高端价格是 4,000 美元,依据是 Tesla 销量达到 1.
第 5 段
2023年达到600万辆,而她认为自己的估计很保守,很保守。700美元已经是Tesla如今股价的2倍,而每股4,000美元远远超过该股票如今价值的10倍。所以,如果她认为自己很保守,却又给出了这些数字,我、我的耳朵都已经竖起来了,对吧?很多人会说,嗯,那不可能,你不可能是对的,凯茜。这是因为凯茜说,人们不理解指数曲线,他们不理解。他们是线性思考者,埃隆也表示同意,他说他们不理解曲线下的面积。所以举例来说,如果我们从产量角度看他们2017年的汽车销量,它看起来相当小,因为无论你画什么、画哪条线,它都非常低,接近于零,对吧?但在2018年,Tesla的车队规模翻了一番,所以在
第 6 段
2018年,我们生产并交付的汽车数量,大约相当于我们此前整个历史期间的总量,泽蒂朗,而这是因为它们是翻倍的,它们是指数级的。所以埃隆说,日历临界点上的微小变化会造成巨大的百分比差异,时间差很小,但百分比差异巨大,而当你观察S曲线时,这一点真的很重要。如果你向一边滑,或者向另一边滑,如果你只是稍微滑动一下,而你又看不到更远的地方,你知道,看不到未来,对吧,那边的整个部分全都是不可知的,而你只能看到这一小段,你就会想,好吧,所以它会这样绕一下,然后再这样走,好吧,所以大约30年后,电动汽车将占据主导。其实不是,它正发展得很好,对吧
第 7 段
这是指数级增长,对吧,我们在节目里经常谈这个,他们在自己的播客里也在谈这个,而且,我是说,埃隆说,我们达到每周5,000辆汽车比原先预想的多花了6个月,这被视为一次严重未达标,但其实只是日历上的偏移,或者说一次短暂延迟,并不是他们做不到,而是他对时间的判断有偏差。你可能还记得这些报道,你知道,Tesla永远达不到每周5,000辆这个数字,彭博追踪器显示他们每周只有2,000辆。哦不,Tesla要完了,这条路走到尽头了,而现在他们每周生产大约7,000辆汽车。所以让我们把这里没有联系起来的2点放在一起。埃隆说,我对2021年的猜测是1.
第 8 段
500万辆汽车,他认为这就是Tesla将生产的数量,而到2023年,只是猜测,我们会达到300万辆。现在记住凯茜刚才说的话,她的估算是基于2023年的1.
第 9 段
600万辆,所以如果埃伦说他认为他们可能会做到更接近那个数字的2倍,而她认为他的股票会达到700到4,000,那么这个数字几乎可能翻倍,而股价又翻倍,也就是,你知道,从1,400到8,000,是2倍到4倍到20倍,对吧,就股价而言,这太疯狂了。并不是说它一定会按1比1的比例增长,但为什么不会呢,对吧,嗯,我们来谈谈,我是说,我们来谈谈她刚刚问他的这个问题,你知道,你的目标是什么,你认为自己在2021年会达到什么水平,我们在财报电话会议上从来没有听到有人问这个问题。没有,他们只对2019年第一季度感兴趣,对吧,这太荒谬了。我是说,分析师为什么会这样,他们为什么要参加这些财报电话会议,如果他们
第 10 段
不会问这类问题,这类前瞻性问题,他们只谈季度。哦,下个季度会发生什么?我们知道为什么下个季度会有它,较少的季度,上个季度,上个季度发生了什么,你知道为什么吗?因为华尔街对季度以外的任何事情都不感兴趣,因为他们做所有事情都以季度为基础。这就是为什么你会看到股价出现这些巨大波动,因为他们没有把目光放得更远,然后当某些消息传出时,他们就像,哇,什么,哇,我没看到那个,那个在我的雷达上。你的雷达就像只有14英尺,哥们儿,你看,你知道,如果你只展望未来3个月,你就看不了那么远。看看这个远距离的东西,那个米·朗的
第 11 段
开始谈起来时,他说,我们从长期角度把我们的汽车看作自动驾驶软件的载体。现在谁在谈这个,对吧?哪个分析师把汽车说成不仅仅是卖一辆车?他把它看成一件完全不同的东西。他可能会在2年后的某一天拨动一个开关,启用 Tesla 网络,并彻底改变他的商业模式,对吧?因为现在,是的,每一个分析师,你知道,有些分析师会谈 Waymo,然后也会谈 Tesla,但他们不会谈 Tesla 的自动驾驶软件,他们就是不提。他们提的时候会说,哦,他们远远落后了。根据我们的,根据我们的分析,他们远远落后了,因为看看 Waymo 的车,它们正在行驶
第 12 段
在城市里到处跑,就在现在。哇,车里没有驾驶员,这太疯狂了。是的,我们过一会儿会再来权衡他。致敬,利兰说,我认为今年我们将实现功能完备的完全自动驾驶,也就是说,汽车将能在停车场找到你,接上你,一路把你送到目的地,全程无需干预,就在今年。我会说我对此确信无疑,这不是一个问号。那太棒了。现在很多人说,我们以前听埃隆·马斯克说过这个。他说 Model 3 和 S 的 Nexus 将能从,你知道,加利福尼亚开到纽约,而那是2年前的事了,至今没有做到。所以显然他不知道自己在说什么。嗯哼,埃隆·马斯克确实回答了这一点,他说,然而人们有时会由此推断,这意味着
第 13 段
现在它能以 100% 的确定性运行,无需观察,完美无缺。事实并非如此。一旦功能完备,接下来就是所谓的“9的进军”,比如你希望可靠性达到多少个9,然后监管机构什么时候会认同它是可靠的。所以你可能会说,9的进军,这是什么?这是某部新剧、某部新电影吗?比如《9的进军》,今年3月上映,3月9日,9的进军。它显然不是那个意思,但基本上,如果你乘电梯,对吧,电梯的安全系数是多少?比如你安全抵达自己要求前往楼层的概率是多少?你知道,如果一部电梯有 50% 的安全性,你会乘吗?不会,哈,不会。那 75% 安全呢?不会。90 呢?不会,不会。99 呢?不会。99.
第 14 段
9,嗯,不会。九十九点九九,也许吧。九十九点九九九,你会希望那个数字末尾有很多个9,因为你希望它绝对 100% 安全。而不幸的是,这个世界上没有任何东西能达到 100%。九十九点九九九九九已经基本上是你所能达到的最接近程度了,你知道,还可以在末尾再添上一些9。所以基本上,埃兰在这里说的是,我们,你将拥有所有这些功能,你将能够坐进车里,而它将能够载你去某个地方,但它能否以 100% 的安全性做到这一点,或者以九十九点九九九九九九九九九九九百分比的安全性做到,对吧?所以埃伦说,因此,功能完备的完全自动驾驶
第 15 段
今年,这是确定的,这是我们能够控制的事情,而且我每周都会直接、详细地管理自动驾驶和工程工作,所以我对此很确定,对吧,所以再说一次,他谈的是这些功能,然后问题是,监管机构什么时候会允许有人类监督的情况,什么时候会允许没有人类监督的情况,伊拉娜说,我猜我们什么时候会认为它安全到让人基本上可以睡着,然后在目的地醒来,可能是在明年年底左右,那是我认为最有可能达到这种安全程度的时候,我不知道监管机构什么时候会同意,好吧,所以到明年年底,他认为自己将达到他所认为的9的尽头、可以接受的程度,这太不可思议了,这太疯狂了,你不,2020年底,对吧,转到
第 16 段
在你的车里睡觉,它会把你送到目的地,因为我是说,你现在也可以在车里睡觉,确实,只不过你会在你停下来的地方醒来,对吧,除非你把车停在了违法的地方,那样的话你最后可能会到扣车场,对吧,是的,这太疯狂了,明年年底,现在他说他不知道监管机构什么时候会同意,是的,所以这是谁问的,你觉得中国会先同意吗,尼隆说,中国的监管机构不错,美国联邦监管机构也是,加利福尼亚可能会过于热心,而欧洲人比较保守,所以我觉得,如果你从字里行间去理解,他算是在暗示,也许中国会是第一个允许自动驾驶的地方,因为他们可能只会看数据,对吧,而
第 17 段
数据是这里最重要的部分,他,你知道,他是在说,类似,是的,我可以说,你知道,哦,有所有这些功能,但监管机构会说,我不相信你的功能,而他需要数据来支撑,维伦说,人们有时认为我像是个商人、金融人士或者诸如此类的人,我是工程师,我做工程,一直都是,我认为这是一个非常好的观点,是他应该更多提起的事情,他首先不是商人,他首先是工程师,他处理几乎每一个问题,你知道,无论是商业、金融还是其他问题,都像工程师一样,对吧,事实上,这就是为什么他做这么多工程工作,因为他是工程师,很多人只是有点喜欢把他想成,好像是个亿万富翁
第 18 段
就像,哦,他不过是某种亿万富翁,就像,哦,某个那个亿万富翁家伙,他太有钱了,他确实有钱,哦,那倒是真的,但他是工程师,现在塔莎提出了一个非常好的问题,一个我以前没听过的问题,她说,消费者使用自动驾驶在多大程度上很重要,埃隆说,我们拥有的、非常难以超越的优势是,我们有极其庞大的干预数据量,所以实际上,客户正在训练系统如何驾驶,而边缘案例有数以100万计,它们如此隐晦和怪异,你都不会相信,有不同的道路标线、不同国家的不同规则、不同的预期,你会遇到雨、雪、雨夹雪、冰雹、飓风、洪水、火灾、烟雾、灰尘,这太疯狂了,我们有汽车,而且实际上所有
第 19 段
那些环境,所以每当有人干预、从 AP 接管时,它都会保存该信息并上传到我们的系统。我们不知道是哪辆车,无法归因到具体车辆,我们只知道发生了干预,然后我们会查看需要做什么来修复那次干预,而且我们确实开始变得相当擅长甚至不需要人工标注了。好吧,如果我们要讨论 Tesla Autopilot 和完全自动驾驶,这可能是最重要的一点:这就是 Tesla 拥有而其他任何汽车制造商都没有的东西。好吧,没有其他汽车制造商,没有其他,基本上没有其他自动驾驶汽车初创企业拥有这个,韦·莫没有这个。他们拥有数以100万计又数以100万计英里的真实世界驾驶数据,由真实的
第 20 段
人在真实环境中驾驶真实汽车,而他们基本上能够从数以10亿计、数以10亿计、数以10亿计英里的数据中积累数以10亿计、数以10亿计的数据点。是的,他们有数以10万计的员工,我是说,作为这些汽车的驾驶者,我们基本上是 Tesla 的员工,在为他们获取数据,对吧?我们基本上都是测试版测试人员,对吧?这是测试版软件,而我们正在积累所有这些经验。基本上,你可以把这一切输入神经网络,并把它当作经验。所以在你一生的驾驶过程中,如果你会想,哦,你知道,你知道,你知道规则,要在停车标志前停车之类的,但就像,好吧,在停车标志前停下,然后也许,你知道,试着把我的头往前探,朝着道路那边
第 21 段
这就是经验。希望有人教过你这一点,但如果没有,你很可能凭本能自己学会了。而且,我是说,这期播客如此不可思议的地方就在于,那个问题触及了一个从未有人问过的点,也就是,你知道,说到自动驾驶,韦·莫和工作人员总是被列为排名第一的公司,但他们没有数以10万计的员工,也没有买了他们汽车、可以替他们完成所有这些工作的人。他们只有一小部分汽车在为他们获取一个非常有限的数据集,而下一个问题指出,这甚至都不是一个很好的数据集。所以凯西问,韦·莫和工作人员是确定性的,它们哪里出了问题,而 Tesla 是概率性的,埃隆说,从本质上讲,一种启发式方法
第 22 段
来处理这个问题,会让能力达到局部最大值,而不是全局最大值。我认为,你确实必须应用一个复杂的神经网络才能达到全局最大值,这就是为什么他们依赖激光雷达是不明智的。它能让你达到某个程度,但无法再进一步。基本上就是一系列 if-then-else 语句,而激光雷达解决不了这个问题,别想了,游戏结束。你必须解决视觉感知问题,本质上就是通过视觉进行理解,然后问题就解决了。你根本不需要任何其他东西,完全不需要其他感官。我的意思是,我们驾驶汽车时,基本上只靠安装在万向架上的2个并不太好的摄像头,而这个万向架移动得也不是很快,一名专业驾驶员几乎从不会发生事故,对吧?这是一个非常有意思的观点,他正在谈论2个不同的、非常重要的
第 23 段
这里的要点是,你不需要激光雷达,这一点意义重大,因为从本质上说,你现在用你那稍微进化了一点的猿类大脑就能开车,搭配着、搭配着——你知道,相当糟糕的摄像头,比如它们在你视野正中央的分辨率相当不错,然后朝边缘过去,你知道,那里就没有很好的色彩,所以我的意思是,这有什么意义,然后你还长在这个会转动的脑袋上,就像,哇,而你的反应时间就像,嗯,你知道,而且你可能会分心,而且你在李期间,而且你检测,有、有各种各样与人有关的问题,你知道,让大量的人带着这种东西上路,而我们确实这么做了,我们只是——我们已经接受了。我们说,好吧,是的,人们有时会撞上建筑物和其他汽车,100万
第 24 段
人会死在这里,对吧,只不过我们会接受这一点,而这里才是我们实际上可以改变这种情况的地方。然后这是第2部分,这种认为激光雷达不顶用的想法,以及这种认为,你知道,可以把每一种边缘情况都编程进去的想法,并不是正确的做法。这就像你试图给一个机器人编程,让它回应跟它说话的人。所以你会说,哦,如果有人说你好,它就会回一句你好。你说,你知道,你好,然后我们就说你好,很好,太棒了,真不错。好吧,还有什么?好的,你叫什么名字,然后它会说我的名字是机器人鲍勃,并说我的名字是机器人鲍勃。但只要你,就像,问它,你知道,另一个问题,或者比如,如果,如果你问它圆周率是多少,它就会从一个 3. 开始。
第 25 段
14,什么,你知道,他们,那是一个老套情节,对吧。你并没有把那个概念、那个想法编程进去,它没有通过经验学习,你把它可能采取的每一个行动都编程进去了。而你对自动驾驶汽车这么做,突然间,你知道,高速公路的一条车道里出现了4条车道,这以前在我身上发生过,就像到处都是油漆,然后突然间汽车要怎么办?它会说,我必须沿着我们的车道走,占用所有车道,那个,你知道,然后你就会在整条路上到处乱跑,那会很糟糕。所以你需要一辆能像这样反应的车:好吧,是这些中的一条,很好,对吧,那是在我以前见过这个之前,一路开着,我知道怎么驾驶 prong,我可能会非常生气,但你知道,或者新泽西,所以很有新泽西味,但你知道,它会,你知道
第 26 段
它会通过神经网络获得大量、大量的经验,对吧。娜塔莎说,谈谈 Tesla 数据的独特性。埃隆说,他们的数据基本上比其他所有人多100倍,其他所有人拥有的数据更接近 Tesla 所拥有数据的1%。Tesla 之所以进展迅速,是因为我们拥有多得多的数据,而随着我们的车队呈指数级增长,这些数据也在呈指数级增长,我们的数据正呈指数级增长。这是另一个巨大的要点。所以我的意思是,他们已经领先了,而他们只是继续前进,对吧。他们卖出的每一辆车都会带来更多,这取决于他们将获得更多数据。这太棒了。伊兰说,虽然我以前提到过这件事,但我认为人们似乎真的没有注意到
第 27 段
事实上,Tesla 的 ap AI 计算机即将投入生产,任何订购了完全自动驾驶的人都会免费获得它。我说过,它相比我们现有的英伟达系统提升了大约一个数量级,但实际上更接近提升 2,000%,凯茜也证实了这一点。她说,我们那些曾在英伟达工作了 9 年的分析师得出结论,Tesla 领先任何汽车制造商 3 年。现在,3 年听起来可能像是,哦,好吧,才 3 年,但在我们所处的技术曲线上,我认为 3 年就意味着游戏结束了。是的,就像他们来自未来一样,就像他们从自己的时间旅行机器里走出来,我们则像是:你好,我们来自未来。埃隆谈到了这样一个事实,即他们配备新硬件的汽车
第 28 段
将能够以每秒 100 帧的帧率查看所有摄像头的全分辨率画面,而且他们还没有把它的性能完全榨出来。先花一秒钟设想一下这意味着什么。所以,人类正常看到的帧率是多少,大约就像,你能察觉到大约 120 的帧率,但超过这个数之后,你就看不出非常明显的区别了。所以,我的意思是,你基本上,你知道,如果你现在正以每秒 30 帧观看这个,对吧,我们说的是多出 3 倍,然后再多 10 帧,外加多 6 个摄像头,另外 6 个摄像头。想象一下,如果你有 6 个,我更多,想象一下,如果你一时之间多了 7 只眼睛,就想象一下,持续 6,就让这一点沉淀一下。你做不到,你无法想象自己多了 7 只
第 29 段
眼睛,能够看到你头部侧面和头部后面的东西。你知道,人们会说,哦,奶奶脑后长着眼睛。她没有,我想没有,但如果她有,那就会有大量的数据输入。是的,我的意思是,这正是这里的重点,重点在于,那是大量的数据输入。想象一下必须处理所有那些数据。我的意思是,你可以,你只是在用什么看,你的 2 只眼睛,你有 2 只眼睛,实际上只是,你知道,你一次只看一个点。你一开始斗鸡眼,就会觉得,我什么都做不了了,对吧,因为,你知道,有人能一边斗鸡眼一边说,太棒了,我们走吧。你的大脑只适合通过朝同一方向看的 2 只眼睛观察,而且它们必须考虑
第 30 段
这一点,它们必须,你知道,考虑视差,比如我需要看这根手指,所以我需要把视线向内对准,看起来像个白痴,就像我在斗鸡眼,而我一这么做,就会意识到我在斗鸡眼。这里面涉及的东西太多了,而这些只是硬接入我们大脑中的,但哦,实在太令人兴奋了,确实如此。塔莎问,硬件容量是固定的吗,还是你需要每 2 年升级一次,伊兰指出了一件非常有趣的事。你说,我们可以用现在拥有的英伟达硬件实现完全自动驾驶,但必须采用各种软件技巧;可是有了一台速度快 2,000% 的计算机,我们就再也不必采用任何软件技巧了。凭借当前的硬件,凭借英伟达当前的硬件,我们可以实现
第 31 段
完全自动驾驶的安全性比人类高50%到100%,但使用他们新的Tesla硬件——硬件3后,安全性更可能比人类驾驶高1,000%,高1000%。是啊,你能想象一下吗?你坐进一辆车,它的安全性是你平均下雨时自己开车的1000倍,对吧?现在是我们坐在方向盘后面。凯茜说,监管机构明白这一点吗?埃兰说,我认为他们理解硬数据、数十亿英里的里程、所有事故率,我们将能够用我们的汽车向他们展示这些。他说,无论你怎样切分数据,目前都可以明确无疑地看出,开启Autopilot更安全。所以,就在今天,用你现在拥有的汽车,开启Autopilot已经更安全了,对吧?那是,但最大的问题
第 32 段
当然在于,你目前不可能在所有情况下都开启Autopilot,现在只能在,你知道,高速公路以及,你知道,标线清晰的道路上开启。凯茜说,在Tesla发生首起致命事故后,监管机构确实大幅转向了对Tesla有利的一边,她很惊讶居然没有更多人注意到这一点。埃隆说,这就像一种现象,人们会对这个系统变得过度自信,而这也正是他们目前遇到的问题:每个人坐进车里后,要么是,我根本不会信任它,不会打开它,对吧;要么就像,哦,它开着,我不用集中注意力了,可以打个电话,对吧。所以塔莎问到了Tesla在高速公路上更广泛部署AP,而way mo则是在城市里部署,埃隆说,嗯,我们一开始
第 33 段
选择高速公路,是因为那才是最重要的,能给你带来最大的好处。高速公路上的行驶里程更多,而且你在那里行驶得更快,所以他们想,那就更快地走这条路吧,因为那样能挽救更多生命。他说,你知道,你可以不用Waze了,因为基本上,即使交通非常拥堵,你也可以留在高速公路上使用Autopilot,因为它会处理交通状况,你不必因为在车流中驾驶或走蜿蜒的偏僻小路而倍感压力,你可以就那样坐在那里,然后说,是啊,我是说,埃隆说他正是出于这个原因不再使用Waze了,因为他不想驶入那些狭窄的后街。就像你说的,留在高速公路上要轻松得多。他说,十字路口
第 34 段
是他们接下来正在研究的东西,它们真的很难,因为当你来到交通信号灯前时,会有太多模糊不清的情况。我是说,我们都知道这一点,当你来到一个十字路口时,每个路口都不一样,比如,我现在应该通过这个信号灯吗?因为在有些地方,比如我住在加利福尼亚州时,就有这种不成文的规则,比如左转时会有1辆车通过,你知道。所以听起来,他们会先尝试让它在美国运行,之后,挪威这样的地方将是优先对象,因为显然挪威就像是全世界最大的Tesla国家之一。这是塔莎提出的一个非常有意思的问题。她说,你怎么看让其他制造商在Tesla平台上构建AP?是啊,然后艾兰德
第 35 段
他说,与其他传统制造商合作并不容易,他们曾让他们与自己合作,但随后他们通常会提出所有这些愚蠢的要求,而他们就会说,我们不想浪费工程师的时间去做那些事。他说,基本上目前没人来敲我们的门,对吧,但他们中的一些人用过他们的专利,对吧。安妮·隆德说,如果有哪家汽车制造商想采用与 Tesla 相同的硬件系统并使用我们的软件,我们会非常乐意,但我们不会改变它。我认为这里有一点是,他并不是说自己会免费做,对吧,并不是说,哦,当然,只要付摄像头的钱就行。不不不,你必须支付许可费才能把它装
第 36 段
进车里,对吧,当然。但他并不是在说,不,我要把它留给自己,你永远都拿不到我的秘密配方,他不是这么做的。他绝对是在,你知道,说,嘿,是啊,如果你要直接把它塞进去,那就塞进去,然后我们会,我们看看你知道你要付多少钱。嗯,因为归根结底,比起金钱,他更关心人们的安全。他已经承认,与其说自己是商人,不如说是工程师。嗯哼。而且我会说,他首先是一个人道主义者,而我会认为,我们的工程师,我认为总体而言,比一些商人更具人道主义精神。慢慢从那句话旁边退开吧,但我只是说,总体而言,对吧。现在凯茜问了他关于加密货币的问题,因为,你知道,她非常感兴趣
第 37 段
比特币和其他加密货币。在人民币中说,他们基本上开了个玩笑,你知道,他在 Twitter 上的账号被封了,因为他开玩笑地提出,你不想买点比特币吗。嗯,那是先发制人的,因为基本上在他的每一条推文后面,如果你长期在那里,是啊,那些比特币骗子会,会说,比如,他们会创建一个埃隆·马斯克账号,或者埃隆·马斯克账号,或者 II 离子·马斯克账号,然后说,嘿,各位,我在赠送一些比特币,赶紧参加吧,只要给我发一些比特币,我就会给你发回10倍那么多。这种事持续了很长时间,大概持续了1年,然后最后我猜 Twitter 修复了它,对吧,不过他们是用完了人造丝账号。真是太
第 38 段
离谱了,但基本上,是的,他拿这件事开了个玩笑,然后他的账号被封了。我的意思是,埃隆说,比特币和以太坊的结构确实是一个相当绝妙的想法,但他不确定这是否是对 Tesla 资源的良好利用。他确实说过,逐步创造更多比特币相当耗能,嗯,而且它绕过了货币管制,这意味着在转移资金方面,它比纸张更好,但他看起来确实不太愿意表明立场。他说他的一个朋友给了他大约1/3个比特币,但他从来没有交易过。很有意思的是,在播客结尾,一切都差不多逐渐收尾了,凯茜在说,比如,你知道,你正在做,你正在让世界变得更美好,而他听到这话笑了。是啊,我认为这
第 39 段
我觉得很能说明问题的是,他看过《硅谷》这部剧,对吧,而《硅谷》里的其中一个笑点就是,每家公司都说自己在努力让世界变得更美好,比如,哦,我们做了这个社交应用之类的东西,你知道,它会判断那个东西是不是热狗,而这按说就能,你知道,让世界变得更美好。他对此笑了,但凯茜就说,不,你真的在这么做。是的,我们完全同意你的看法,而且你做的是真正有意义的事,对吧。我不得不同意凯茜的说法,就所有公司和所有亿万富翁为让世界变得更美好所做的一切工作而言,埃隆总体上遥遥领先,是让世界变得更美好的最大贡献者,尤其是展望
第 40 段
未来,看看未来的世界可能会是什么样子。这期播客让我兴奋的是,我的看法得到了另一个人的再次肯定,我对她说的话,你知道,是非常认真看待的。凯茜·伍德看懂了,她已经证明了自己看懂了,她的过往业绩证明了这一点。我们这个频道是埃隆·马斯克的迷弟,对吧,大家总是在评论,好吧,你们就是迷弟,所以你们不可能不带偏见。我不认为这是真的。我认为我们可以客观地看待正在发生的事情,因为如果你看看埃隆过去做过的事,他在如此短的时间里取得了令人难以置信、难以置信的成就。如果我们看看他的火箭公司,他正在做一些就在几年前还被完全认为不可能的事情
第 41 段
而且他还在继续做一些人们直到今天仍认为不可能的事情,对吧。所以,当他说到明年年底,他会有一辆完全自动驾驶的汽车,你可以在后座睡着,而它会抵达你的目的地时,我知道这听起来很疯狂,也知道我们说“嗯,这很可能会发生”听起来像是我们一定疯了,但这话出自一个几乎一直在让自己说过的一切成真的人。现在,也许并不总能按时实现,但你知道,也可能要2、3年,对吧。可还有多少其他公司真的能在2、3年内实现这一点?因为Waymo已经说过,在他们真正拥有能够应对所有情况的完全自动驾驶汽车之前,还需要很长时间
第 42 段
对吧,很多分析师看到这一点,然后再看看Tesla,他们就会说,你们不一样,怎么回事,为什么会这样,嗯,好像是因为他们采用了2种完全不同的方式,对吧。我希望我们把这个讲得相当到位了,而且我的意思是,我选择早晨起床时,对科技和未来即将发生的事情感到兴奋。一个汽车很安全、汽车能快速把你送到想去的地方的世界,嗯哼,一个没有污染的世界。嗯,这就是我选择相信的,因为我正看到事情可以那样发生。只是如果我们不相信,如果我们不支持它,你为什么认为那会有帮助?埃隆说过的很多话都在于,他希望这个世界令人兴奋,他希望能有一个
第 43 段
让你早晨起床的理由,而我认为那是一个非常非常好的目标,而且他一直在这样做,因为这很令人兴奋。我们不仅每天早晨起床,而且早晨起床后还会录制这个节目;我们要花整个周末来写脚本,以及,你知道,撰写内容、寻找所有图像和细节。然后我们完成录制,接着,你知道,我们有2位剪辑师,这2位剪辑师会把整个节目剪辑到一起,他们还得修正我们所有的错误。然后,你知道,有时我们忘记录音,所以音频没有进入我们的麦克风,也没有进入录音机,于是,你知道,我们不得不把所有内容重新录一遍。这个节目投入了大量工作,而我只是想
第 44 段
花一点时间感谢我们在 Patreon 上的支持者,因为,你知道,很多时候都会觉得,要不就算了吧。是啊,就像这个节目,我们录到大约四分之三时,才注意到,我们低头一看,发现录音机根本没有录下任何音频,当时就觉得,也许我们这周干脆不做《深入探讨》了。但你知道吗,正是 Patreon 的立场让这成为可能。要我们再坐在这里1个小时,把我们本来只会对你们讲1个小时的同样内容再讲一遍,本来是不值得的,只不过你们本来听不到我们说话。但相反,不,你说,你知道吗,我们有赞助人,我们不能,你知道,让他们失望;我们有一定程度的,我们有一定程度的会话主义需要
第 45 段
顾及,所以我们就这么做了,我们把整段内容全部重新录了一遍。因此我只想为此感谢我们的赞助人,也想感谢你一直看到这个视频的最后。我们希望你喜欢它。我们每周都会这样做,所以如果你是新来的,我们每周一有《Tesla 时间新闻》,每周二做《深入探讨》这个节目,每周三有我们的本周 Model 3 小贴士。还有,还有很多其他内容是我们不时推出的。一定要点击订阅按钮;如果你喜欢这个视频,请点击点赞按钮。我们下周见。现在你知道了。
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hey everybody I'm Zack and I'm Jesse and you're watching in-depth on now you know [Music] so Ilan was recently on Cathy woods arc invest podcast called fYI for your innovation episode 11 and we have the link down below because we really urge you to listen to it it's about 30 minutes of brilliant questions and answers Cathy wood she is the CEO founder and CEO of arc invest which is a multi-billion dollar tech investment company just for your information we do invest in our confessed Cathy wants companies to invest aggressively and she thanked Ilan for not going private because Cathy believes Tesla needs the public market to raise the funds to scale quickly to exponential growth in reach elands goals alright so we want to go through kind of a play-by-play
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of what was said on this because a lot of people said about this podcast well it was fine we just heard a bunch of stuff we've already heard before no need to listen to it and I feel differently I feel like we got a lot of nuanced answers which if you look at them closely give you a lot of insight into what's going on right because I mean a lot of times when people get Ilan on their show they're just asking like oh what are what are electric cars anyone's like okay electric car is an electric car and they're like oh wow oh that's very interesting and and then it's like yes it is they're like so how do you charge it and he's like okay you plug it into this thing called a supercharger and it works like that and it's like okay great and then the interview
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ends and you're like oh I I knew everything that I knew beforehand because I follow Elon Musk and I understand what electric car is and you know people don't get into like Oh tell me about autopilot you know they don't get into any of the nitty-gritty details which we're going to get into Kathy was saying that at arc invests they've done their internal projections and they see that in 2018 there was 1.
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3 million evie sales what do they projected in 2023 in 2023 they project 26 million evey sales that would be about one third of the total global sales in 2023 would be EVs and they're basing this off of just battery prices just the the estimated drop in battery prices that will lead to a twenty six million car evie sale in 2023 yeah that's a 20 times increase in Elan said sounds about right might be off by a year too but not by much and so cathy has done a bear bull analysis for Tesla stock and so she prices the low end at $700 in the high end at $4,000 based on Tesla sales of 1.
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6 million units in 2023 and she thinks she's being conservative being conservative $700 is already double what Tesla is worth today and $4,000 per share is well over 10 times what the stock is worth today so if she's being conservative and she's giving these numbers I my ears are have perked up right and a lot of people say well that can't be you can't be right Kathie and that's because Cathy said people don't understand exponential curves they don't they are linear thinkers and Elon agreed he said they don't understand the area under the curve so for instance if we take their 2017 car sales in terms of production it looked pretty small because no matter what you what line you draw it was very low to zero right but in 2018 Tesla doubled its fleet so in
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2018 we made and delivered about as many cars as we had in our entire history zeti long and that is because they're double they're exponential so Elon said small changes in the calendar break point have enormous percentage differences the time difference is small but the percentage difference is enormous and this is really important when you're looking at s curves if you slide one way or you slide the other way if you just sort of slide it and you're and you can't see beyond you know into the into the future right that whole section all over there is unknowable and you're just seeing this little you're gonna be like okay so it's gonna go loop and then it's gonna go okay so in about 30 years Eevee's are gonna take over it's like no it's going well right
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it's an exponential growth right we talked about this on the show a lot they are talking about it on their podcast as well and I mean Elon said it took six months longer than we thought it would to reach five thousand cars a week it was perceived as a massive shortfall instead it was just a calendar shift or a short delay wasn't they couldn't do it is that he was off by the timing and you could you remember these stories you know Tesla is never gonna reach that five thousand cars a week number Bloomberg tracker has them down at two thousand cars a week oh no Tesla's going to end it's the end of the way and now they're making like seven thousand cars a week so let's put two points together that didn't get connected here Elon said my guest for 2021 is 1.
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5 million cars that's what Tesla will make he thinks and in 2023 just to guess we do three million now remember what Cathy just said her estimates were based on 1.
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6 million in 2023 so if Ellen is saying that he thinks they're probably gonna do more like double that and she's thinking his stock is gonna be at 700 to 4,000 it could be almost doubled with the stock moving double again which would be you know so 1,400 to 8,000 for 2 to 4 to 20 times more right in terms of stock price which is crazy not that it would necessarily scale 1 to 1 but why not right um and let's talk about I mean let's talk about this question she just asked him you know what what are your goals what do you think you're going to hit in 2021 in we never got this question asked on the earnings calls no they're only interested in q1 of 2019 right that's ridiculous I mean why are the analysts and why are they on these earning calls if they're
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not going to ask these sorts of questions these sort of forward-looking questions they're only talking about quarter Oh what's gonna happen next quarter we know why next quarter was gonna have it less court last quarter what happened last quarter you know why because Wall Street's not interested in anything beyond the quarter because they do everything based on the quarter that's why you see these huge fluctuations in stock prices because they're not looking any further ahead and then when some news comes out they're like whoa what wow I didn't see that that was it on my radar your radar was like 14 feet dude you're looking you know if you're looking three months into the future you're not gonna see that far look at this long distance thing that me Long's
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got going here he said we think of our cars long-term as carriers of autonomy software who's talking about that now right what analysts is talking about the cars anything more than selling a car he's thinking of it as a completely different thing he's gonna flick a switch someday probably two years from now turn on the the Tesla Network and completely changed his business model right because right now yes every single analyst you know there are some analysts that will talk about way mo and then they'll talk about Tesla but they're not gonna talk about autonomy software in Tesla they just don't bring it up they do they're like oh they're way behind according to our according to our analysis there are way behind because look at the way mo cars they're driving
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around cities right now Wow with no drivers in them that's crazy yeah we're gonna get to weigh him on a second salute Leland said I think we will be feature complete full self-driving this year meaning the car will be able to find you in a parking lot pick you up take you all the way to your destination without an intervention this year I would say that I'm certain of that that is not a question mark that is awesome now a lot of people said we've heard this from Elon before he said that model threes and s's Nexus would be able to drive from you know California to New York and that was two years ago hasn't done it so obviously he doesn't know what he's talking about mm-hmm Elon did answer that he said however people sometimes will extrapolate that to mean
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now it works with 100% certainty requiring no observation perfectly this is not the case once it is feature complete then you're sort of the march of nines like how many nines of reliability do you want it to be and then when do regulators agree that it is reliable so you might be saying March of nines what is this is this some new show some new movie like March of nines out this March March 9th the march of the nines it's it's obviously not that but basically if you were to take an elevator right what is the safety factor of the elevator like what is the chance that you're gonna make to the floor that you asked to get to safely you know would you get on an elevator if it was 50% safe no huh no you wouldn't how about 75% safe no 90 no no 99 no 99.
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9 mmm no ninety-nine point nine nine maybe ninety-nine point nine nine nine you want so many nines at the end of that number because you want it to be absolutely 100% safe and unfortunately there are no 100% anything's in this world ninety-nine point nine nine nine nine nine is as close as you're basically going to get to it you know with some more nines tacked onto the end of it and so basically what Elan is saying here is that we you're gonna have all these features you're going to be able to get into the car and it'll be able to drive you someplace but will it be able to do that with 100% safety or ninety-nine point nine nine nine nine nine nine nine nine nine nine nine percent safety right and so Ellen said so there's feature complete full self-driving
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this year with certainty this is something that we control and I managed autopilot and engineering directly every week in detail so I'm certain of this right so again he's talking about the features so then the question was asked when will regulators allow with human oversight and when without human oversight Ilana said my guess as to when we would think it's safe for somebody to essentially fall asleep and wake up at their destination probably towards the end of next year that's when I would think it's most likely safe for that I don't know when regulators would agree okay so the end of next year he thinks he's going to be at where he considers to be the end of the nines acceptable that's incredible that's insane that you don't end of 2020 right go to
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sleep in your car and it'll drive you to your location because I mean you can sleep in your car now true it's just you're gonna wake up where you left off right unless you park somewhere illegally in which case you're probably gonna end up at the impound lot right yeah that's insane the the end of next year now he's saying he doesn't know when regulators will agree yeah and so who's asked this do you think China would agree first and Nealon said China regulators are good so are the US federal regulators California can be overzealous and Europeans conservative so I think he was kind of hinting if you read between the lines that maybe China would be the first place to allow self-driving because probably they're gonna just look at the data right and the
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data is the most important part here he's you know he's saying that like yes I can say you know oh there's all these features but the regulators are gonna be like I don't believe your features and he needs the data to back it up vielen said people think sometimes that I'm like a business person or finance person or something like that I'm an engineer I do engineering always have I think this is a really good point something that he should bring up more that he's not a business person first he is an engineer first he tackles just about every single problem you know business finance or otherwise like an engineer right in fact that's why he does so much engineering because he's an engineer a lot of people just sort of like to think of him as like a billionaire
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like oh he's just some sort of billionaire like Oh some boy that billionaire guy he's so rich he is rich oh that's true but he is an engineer now a really good question from Tasha one I haven't heard before she said to what degree is consumer use of autopilot important Elon said the advantage that we have that is very difficult to overcome is that we have just a vast amount of data on interventions so effectively the customers are training the system on how to drive and there are millions of corner cases they're so obscure and weird you wouldn't believe it there's different road markings different rules in different countries different expectations you got rain snow sleet hail hurricanes floods fire smoke dust it's insane we've got cars and really all
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those environments and so every time somebody intervenes takes over from AP it saves that information and uploads it to our system we don't know which car it was there's no individual attribution for the car we just know that the intervention took place and then we see what is required to fix that intervention and we're really starting to get quite good at not even requiring human labeling okay this is probably the most important point if we were to be talking about Tesla autopilot and and at full autonomy is this is what Tesla has that no other car manufacturer has okay no other car manufacturer no other basically no other self-driving car start up has way mo doesn't have this they have millions and millions of miles of real-world driving data with real
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people driving real cars and real settings and they're able to basically amass billions and billions of points from billions and billions of billions of miles of data yeah they've got hundreds of thousands of employees I mean as drivers of the cars we are basically employees of Tesla getting them data right we're basically all beta testers right this is a beta software and we're accumulating all of this experience basically you're able to throw that into a neural network and treat it like experience so throughout your life when you've been driving if you're like oh you know you know you know the rules stop at a stop sign and stuff like that but it's like okay stop at the stop sign and then maybe you know try and lean my head forward down the road that
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is experience hopefully somebody taught you that but if you didn't you probably instinctively learned it yourself and I mean that's what's so incredible about this podcast cuz that question got to something that's never asked which is you know way mo and crews are always put as like the number one companies when it comes to autonomous driving but they don't have hundreds of thousands of employees or people who bought their cars that can do all this work for them they've just got a small subset of cars getting them a very limited data set which in this next question is pointed out is not even a great data set so Kathy asked way Moe and Cruz are deterministic what's going wrong there versus Tesla is probabilistic in Elon said essentially a heuristics approach
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to this will result in a local maximum of capabilities not a global maximum I think you really have to apply a sophisticated neural net to achieve a global maximum and it's why their reliance on lidar is unwise it gets you to a certain point but no further basically a series of if-then-else statements and lidar is not going to solve it forget it game over you have to solve vision perception essentially understanding with vision and then it's solved you don't need anything else no other senses at all I mean we drive cars with basically two cameras that aren't very good on a gimbal that doesn't move very fast and a professional driver will almost never have an accident right this is such an interesting point he's talking about two different very important
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points here you don't need lidar which is huge because essentially you can drive a car now with your slightly evolved ape brain with with - you know pretty crappy cameras like they have pretty good resolution you know right in the center of your vision and then out towards the end you know there's like not a good color so I mean what's the point and then you're on this swiveling head which is like whoa and your reaction time is like well you know and you can get distracted and you during Lee and you detects there's there's all sorts of problems with people you know having a large number of people on the roads with this and and we do it we just we've accepted it we said okay yeah people are sometimes gonna crash into buildings and into other cars a million
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people will die over here right except that we'll accept that here is where we can actually change that and then here's the second part this sort of idea that lidar is not going to cut it in this sort of idea that you know you can program in every edge case is not the way to do it it's as if you were trying to program a robot to respond to people talking to it and so you'd be like oh if somebody says hello it will say hello back you say you know hello and we go hello great excellent awesome all right what else good is what is your name and then it'll say my name is Robo Bob and say my name is Robo Bob but as soon as you're like ask it you know some other question or like what if what if you ask it to what is PI and it would just start at a 3.
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14 what you know they that's a trope right you don't program in that concept that idea it didn't learn through experience you programmed in every action that it could take and you do that with a self-driving car and suddenly you know there are four lanes inside of a lane on the highway which has happened to me before like there's just paint everywhere and suddenly what's the car going to do it's gonna go like I must follow our lanes take all lanes that you know and you'll go all over the road would be bad so you need to have a car that can be like okay it's one of these great right that's before I've seen this before driving along I know how to drive prong I could be so angry but you know or New Jersey so New Jersey ish but you know it's gonna you know
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it will have tons and tons of experience through the neural net right Natasha said talk about the uniqueness of Tesla's data Elon said that they basically have a hundred times more data than everyone else everyone else is closer to one percent of the data that Tesla have the reason Tesla is making rapid progress is because we have vastly more data and this is increasing exponentially as our fleet is increasing exponentially our data is increasing exponentially that's another huge point so I mean they're already ahead and they're just keep going right every car that they sell is more it's a function of more data that they're going to be getting it's awesome Ilan said although I brought it up before I don't think people really seem to be taking note of
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the fact that the Tesla ap AI computer is about to roll into production anyone who has ordered full self-driving will get that for free I've said it's like an order of magnitude improvement over the Nvidia system that we have but it's really more like a 2,000 percent improvement and Cathy backed that up she said our analysts who spent nine years in Nvidia concluded the Tesla is three years ahead of any auto manufacturer now three years might sound like oh okay just three years but in the technological curve that we're in three years I would argue is game over yeah it's like they're from the future it's like they came out of there time-traveling machine we're like Hello we're from the future Elon talked about the fact that their cars with the new hardware
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will be able to see frame rates of a hundred frames per second with full resolution on all cameras and they still haven't gotten it tapped out just put that in perspective for a second so the normal frame rate that humans see at is what around like you can detect frame rates at around you know 120 but you can't like see a very discernible difference beyond that so I mean you're basically you know you can watch if you're watching this right now at 30 frames per sec right this we're talking about three times more and then 10 more frames plus six more cameras six more cameras imagine if you had six I'm more imagine if you had seven more eyes for a moment just imagine that for six just let that sink in you can't you can't imagine yourself having seven more
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eyes being able to see out of the side of your head and out of the back of your head you know people will say like oh grandma has eyes in the back of her head she doesn't I think but if she did that would be a lot of data input yeah I mean and that's the point here the point is that that's a lot of data input imagine having to deal with all of that data I mean you can you're only looking at what your two eyes you've two eyes it's really only you know you're only looking at one point at one time as soon as you cross your eyes you're like I can't do anything right because you know one can cross their eyes and be like excellent let's go your brain is only made for looking through two eyes that are looking in the same direction and they have to account for
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that they have to you know account for parallax of like I need to look at this finger so I need to point in and look like an idiot like I'm crossing my eyes and as soon as I do that I realize though I'm crossing my eyes like there's so much that goes into that which is just hardwired into our brains but oh it's just so excited it is so tasha asked is hardware capacity fixed or do you need to upgrade every two years in elan pointed out something really interesting you said we could achieve full autonomy with the nvidia hardware we have now but we have to do all sorts of software tricks but with a 2,000 percent faster computer we don't have to do any kind of software tricks anymore with the current hardware with the nvidia current hardware we could get
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full self-driving with fifty to a hundred percent safer percentages than a human but with their new tesla hardware hardware 3 it would be more like 1,000% safer a thousand percent safer than a human driving yeah can you imagine that for a moment you get in a car and it's a thousand times safer than if you average rain right we're behind the wheel now Cathy said do regulators understand this an Elan said I think they understand hard data billions of miles all the accidents rates that we'll be able to show them with our cars and he said no matter how you slice the data it is unequivocal at this point that it's safer to have autopilot on so just today with the car you have now it's already safer to have autopilot on right that that was but the biggest problem
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there of course is that you can't have autopilot on in all cases right now it's only on you know highway ways and you know roads with clear line markings right now Cathy said after the first Tesla fatality regulators really swung in Tesla's favor and she was surprised that more people haven't taken notice of that and Elon said it's like a phenomenon people get overconfident with the system and that's kind of the problem that they have right now is that everyone gets in the car and there's either I'm not going to trust it at all not gonna turn it on right or there's like oh it's on I don't have to pay attention make a phone call right so Tasha asked about Tesla's wider rollout of AP highways versus way mo is in the cities and Elon said well we started
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with the highways because that's what matters the most it gives you the most benefit there's more miles travel in the highways and you travel faster there so they thought let's go that right faster because that'll save more lives and he said that you know you can stop using Waze because basically you could stay on the highway and use autopilot even though there's tons of traffic because it'll take care of the traffic you don't have to be stressed out about driving in the traffic or taking windy back roads you can just sort of sit there and be like yeah I mean Elon said he's stopped using Waze for just that reason because he doesn't want to get off into the little back streets it's so much easier to stay on the highway like you said he said that intersections
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are the next things are working on they're really difficult because there's so much ambiguity when you get to a traffic light I mean we all know this when you get to an intersection they're all different like me am I expected to go through this light right now cuz in some places like when I lived in California there's like this unwritten rule like one car goes through on a left you know and so it sounds like they're gonna try and get it to work in the US first and that after that places like Norway will be a priority because obviously Norway is like one of the biggest Tesla countries in the world this was a really interesting question that Tasha asked she said what do you think of letting other manufacturers build AP on Tesla platform yeah and in Eiland
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said it's not easy to work with other traditional manufacturers they have had them asked to work with them but then they usually put all these stupid requirements in there and they're like we don't want to waste our engineers time working on that and he said basically nobody's banging down our door at the moment right but some of them have used their patents right Annie lund said if there's an automaker out there that wanted to implement the same hardware system as Tesla and use our software we'd be very open to it but we're not gonna change it and I think one point to that is that he's not saying he'll do it for free right it's not like it'll be like oh of course just pay for the cameras no no no like you're gonna have to pay to license it to put it
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in the car right for sure but he's not saying no I'm going to keep it to myself and you'll never be able to get my secret formula like he's not doing that he's he's absolutely you know saying like hey yeah if you're gonna just plop it in plop it in and be well we'll see how much you know you're gonna pay well cuz it ultimately he cares about people's safety more than dollars he already admitted he's not a businessman more than he is an engineer mm-hm and he's I would argue he's a humanitarian first and I would get our engineers I think our by and large more humanitarian than some businesspeople just back away from that one slowly but I'm just saying like in general right now Kathy asked him about crypto currencies because you know she's very interested
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in Bitcoin and other cryptocurrencies in the yuan said they made a joke basically that you know his account on Twitter got suspended because he jokingly offered you don't want to buy some Bitcoin and well and that's preempted because basically after every single one of his tweets you if you're a long time there yeah like the Bitcoin like scammers would would say like like they would make an Elon Musk account or Elon Musk account or II ion Musk account and and say like hey guys I'm giving away some Bitcoin get in on it just send me some Bitcoin and I'll send you back ten times that much it was just for the longest time it was going on for like a year and then finally I guess Twitter fixed it right though were they ran out of rayon accounts it was about
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rageous but basically yeah he made a joke of it and his account got banned and I mean Elon said that the Bitcoin structure and aetherium is really quite a brilliant idea but he's not sure it would be a good use of Tesla's resources and he did say it's quite energy intensive to create incrementally more Bitcoin um and it bypasses currency controls which means that it's better than paper for transferring money but he really didn't seem to want to commit himself he said that a friend of him gave him like a third of a Bitcoin but he's never dealt in it it was interesting at the end of the podcasts are all kind of winding down and in Cathy's saying like you know you you're doing you're making the world a better place and he laughed at that yeah I think it's
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telling I think he watched was the show of Silicon Valley right and the kind of one of the jokes in Silicon Valley is that every company says that they're trying to make the world a better place by like oh we make this social app thing that does you know it determines if the thing is a hotdog and that's supposed to like you know make the world a better place he laughed at that but Cathy was like no you're really doing it yeah we totally agree with you and you're doing the real thing right and I have to agree with Kathy on that like out of all the companies in and out of all the billionaires doing all of the work for making the world a better place Elon is by and large far and away the biggest contributor to making the world a better place especially looking
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forward looking into the future as to see what the world could look like in the future what's exciting to me about this podcast is to be reaffirmed by another person that I take you know very seriously what she says Kathy wood gets it she's proven that she gets it her track record proves it we are fan boys on this channel of Elon Musk right everyone comments at all the time well you guys are fanboys so you can't possibly be unbiased I don't think that's true I think that we can look objectively at what is going on because if you look at what Ellen's done in the past he's achieved incredible incredible things in such a short amount of time if we look at his rocket company he's doing things that were completely thought to be impossible just a few years
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ago and he's going on to do things which people still think are impossible today right so when he says that he'll have a full self-driving car where you can fall asleep in the back and it'll turn up at your destination at the end of next year I know that sounds crazy and I know it sounds like we must be nuts to be like well that probably is going to happen but here's coming from a guy who's been making pretty much everything he said happen happen now maybe it's not always on time but you know it could be that it's in two three years right but how many other companies are going to actually have that in two three years because way mo has said that it's going to be a long time before they actually have fully self autonomous cars that can handle all situations
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right and a lot of analysts look at that and then you look over to Tesla and they go you're different what's wrong why is that the case um like it's because they're approaching it in two completely different ways right I hope we we covered pretty darn well and I mean I choose to get up in the morning and be excited about what's coming in in technology and in the future a world where cars are safe where cars get you where you want to go quickly mm-hmm where there's no pollution hmmm that's what I choose to believe in because I'm seeing that it can happen that way it's just that if we don't believe it if we don't get behind it why do you think that's gonna help a lot of what Elon has said is that he wants the world to be exciting he wants there to be a
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reason for you to get up in the morning and I think that that is a really really good goal and he's been doing it because it's been exciting and not only do we get up in the morning every morning but we also get up in the morning and then we record this show which takes our entire weekend to script and to you know write and to find all the graphics and the details and then we finished recording it and then you know we have two editors and the two editors they go and they edit the entire show together and they have to fix all of our mistakes and then you know sometimes we forget to record our audio so it wasn't going into our microphones and going into a recorder where you know we had to recorded all again a lot of work goes into this show and I just want
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to take a moment to thank our patreon supporters because you know there's a lot of times where it's like maybe forget it yeah such as this show when we got about three-quarters of the way through it and then we noticed we look down and though the recorder wasn't recording any audio and it was like maybe we just don't have an in-depth this week but you know what it's it's the patreon stand make that possible it wouldn't have been worth it for us to sit here for another hour and talk to you about the same things that we would just talk to you about for an hour except you wouldn't been able to hear us but instead know you said you know what we have patrons we can't you know disappoint them that we have a level of we have a level of sessional ISM that we
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have to attend to and so we did we recorded the entire thing so I just want to thank our patrons for that and I want to thank you for watching all the way to the end of this video we hope you enjoyed it we do this every single week so if you're new here we have Tesla time news every Monday we do in depth this show every Tuesday we have our model 3 tip of the week every Wednesday there are there's lots of other content that we come out with from time to time be sure to hit the subscribe button hit the like button if you like this video and we'll see you next week now you know