2014 年,特斯拉那年卖了 6 万辆车。马斯克说,2020 年我们要做到一年 50 万辆。2020 年,特斯拉交付了 499550 辆,差一点就是分毫不差。
同一个人,2016 年在 TED 舞台上说,全自动驾驶今年就能实现,一辆车从洛杉矶开到纽约,全程零干预。六年过去了,这个承诺还没兑现。
一次准得吓人,一次差得离谱。2022 年 4 月,TED 的 Chris Anderson 在温哥华的剧场里,把这件事摊开问了马斯克。
他的回答,比任何一条推文都更能说明这个人的脑子是怎么转的。
自动驾驶为什么骗了所有人六年
马斯克的第一反应是自嘲:「我不想吓着你,但我不是永远都对。」
接下来他解释,为什么偏偏是自动驾驶这么难预测。
原话大意是,这个领域有太多假曙光。你以为自己抓住了问题,觉得有把握了,然后「不对,你只是撞到了天花板」。
他把进展画成一条对数曲线。这词听着抽象,其实很好理解。
你学骑自行车,第一天进步巨大,从摔跤到能骑十米。第二天能骑五十米。第三天能骑两百米。你觉得再练几天就能参加环法了。然后你发现,从「能骑」到「骑得好」之间,横着一道看不见的墙。
自动驾驶也是这样。工程师把每一个小问题的进展叠起来看,是一条又一条的对数曲线,先陡后平。回头看在哪儿踩了坑,一清二楚。当时身在局中,每个坑都像是最后一道坎。
马路是给眼睛和大脑修的,不是给电脑修的
马斯克给了一个他后来反复引用的判断:
道路网络的设计对象,是生物神经网络,也就是人脑,加上视觉,也就是人眼。红绿灯的颜色、路面的标线、行人抬手示意的动作,全是为这两样东西优化的。
想让机器开车,你就必须把「真实世界的人工智能」和「视觉」这两件事解决掉。摄像头加硅基神经网络,去对接一个为眼睛和生物大脑设计的世界。
这么一讲,那个绕了六年的弯子就清楚了。自动驾驶从来不是汽车工程问题,它是通用人工智能的一个子问题。一家车企去解 AGI,难怪时间表一次次往后推。
这次他还是赌上了:「这可能是出名的不祥之言,但我确实有信心今年能解决。」
Anderson 追问,你说的是事故概率低于人类平均水平?马斯克说,是的,今年。
然后他自己补了一句:一年后我们可能又坐在这儿,说又一年过去了,还是没成。
Anderson 问了个更尖锐的问题:你是不是故意把时间表说得激进,用来逼团队拼命?
马斯克的回答只有一句:「不这样,什么都做不成。」
从四个轮子到两条腿
访谈里最反常识的一段,是他顺带宣布:特斯拉今年最重要的产品开发,是人形机器人 Optimus。
为什么造车造到一半去造人?
逻辑是递进的。既然为了让车看懂世界,你必须解决真实世界的人工智能,那么这套能力可以迁移。一辆车就是四个轮子的机器人,把轮子换成腿,剩下的问题就变成工程问题。
他列了两件当时还缺的事:机器人得有足够的智能,在没人明确指令的情况下自己在真实世界里导航、干有用的事;以及大规模制造的能力。
这两样恰好是特斯拉最擅长的。剩下的就是设计 actuators(执行器)和传感器,凑出一个人类体型的机器人。
Anderson 说,很多人根本没意识到这有多大。马斯克回:「这会比汽车更大。」
应用场景他讲得很具体。机器人真正理解你家的三维结构,知道每件东西在哪儿、应该在哪儿,还能认出这些东西。然后你可以让它收拾房间、做晚饭、割草坪、给奶奶端杯茶顺便给她看家庭照片、陪孩子玩接球。
Anderson 问,能不能当伴侣,包括性伴侣。
马斯克说,那大概不可避免,然后补了一句,我确实向互联网承诺过要造猫娘机器人。
听着像玩笑,但接下来这段是认真的。
一个不能远程更新的停机开关
话题转到安全,马斯克主动提出了一个设计:
机器人身上装一块本地 ROM 芯片,不能通过空中下载更新。里面写死一条规则,只要有人喊「停、停、停」,机器人立刻停下。任何人喊都有效。
远程改不了。想改,得物理接触那台机器。
他还说,人形机器人应该被监管。「我不喜欢被监管,但我认为这件事对公共安全很重要。」
这话从一个以讨厌监管著称的人嘴里说出来,分量不一样。
2.5 万美元的机器人,对上 4 万美元的年薪
时间表:今年内会有一个有趣的样机,明年可能有用,两年内大概率能成。之后就是逐年快速提升可用性、降低成本、扩大产量。
成本,马斯克说不会高得离谱,低于一辆车。Anderson 追问是不是两万五美元左右,他没有否认。
接下来这段需要停下来算一算。
一个年薪三四万美元的工人,你得年年付。一台两万五千美元的机器人,一次性买断,工作时间更长,不休假。
这笔账摆在任何一家工厂老板面前,答案都很清楚。
Anderson 问,世界该多担心失业。
马斯克的回答跟主流担忧相反:现在已经是劳动力严重短缺,未来还是短缺。不会是人没活干,而是活没人干。
他描述的结果是一个富足世界。任何商品和服务,想要的人都能得到,价格便宜到荒谬。
这个判断能不能成立,取决于分配制度跟不跟得上。马斯克没在这个访谈里展开,他只说了方向。
他为什么突然想买下城市广场
节目现场的另一半,是几个小时前刚发生的事:马斯克向 Twitter 发出收购要约。
Anderson 提醒他,上周你亲口说「我不想拥有 Twitter,那是通往痛苦的配方,所有人都会怪我」。
马斯克先认了这句:所有人还是会怪我,100% 是我的错,会有不少箭射过来,会很痛苦。
然后给出理由。
Twitter 已经成了事实上的城市广场(de facto town square)。要有一个人人都能包容地说话的地方,人们既要真的能自由发言,也要感觉自己在自由发言。这两件事缺一不可。
他把这上升到文明层面:Twitter 作为公共平台的信任度越高,文明风险越低。这不只关乎美国,也关乎世界上其他地方的自由。
他还澄清了动机:不为赚钱,也不为垄断。私有公司股东人数上限大约两千人,他会按法律允许的上限尽量多保留股东。他承认自己技术上付得起全现金,但强调这跟套利无关。
「我强烈的直觉是,一个被最大程度信任、尽可能包容的公共平台,对文明的未来极其重要。」(马斯克)
把算法扔上 GitHub
收购之后要改什么,他讲了两条。
第一条,算法开源。代码放到 GitHub 上,谁都能看,谁都能指出问题,谁都能提修改建议,像给 Linux 或 Signal 提 PR 那样。
第二条,任何对单条推文的人工干预都要留痕。被加强曝光了,被降低权重了,用户能看见这个动作发生过。不能有黑箱,不能有幕后手动操作。
他认为黑箱推荐很危险。有些内容莫名其妙被推上来,有些莫名其妙沉下去,外界完全不知道发生了什么,这本身就是问题。
另有一条更接地气:编辑按钮。会来的。
但有个细节他想了很久。你发一条「马斯克真棒」,两百万人转发。然后你把这条改成「马斯克真烂」,那两百万转发的人全被坑了。
他的方案是:编辑只在很短的时间窗口内开放,而且一旦编辑,转发和点赞全部清零。
他还说自己对具体方案持开放态度,欢迎别人出主意。
优先级最高的一件事,反而不是这些。是清理垃圾账号和诈骗机器人军团。「我每看到一个加密货币骗局就给我一枚狗狗币的话,我大概有一百亿枚狗狗币了。」
至于狗狗币本身,他说就是好玩,别押上全部身家,我喜欢狗,也喜欢梗,狗狗币两样都占。
三条推文,一条比一条过界
Anderson 把最难的问题摆上桌:你自称自由言论绝对主义者(free speech absolutist),那是不是什么话都能说?
马斯克的第一个边界是法律。Twitter 在任何国家运营,都得遵守当地法律。不能直接煽动暴力,不能在电影院里喊失火,那是犯罪。
Anderson 举了一组例子,一层层加压。
第一条推文:我讨厌政治家 X。完全合法。
第二条:我希望政治家 X 不存在了。也合法,就像现在很多人对普京说的话。
第三条:我希望政治家 X 不存在了,配一张他脑袋上压着瞄准镜准星的照片。开始变味。
第四条:上面那些,再加上他的家庭住址。
Anderson 的意思是,总得有人来判断哪条过界。算法能做到吗?还是必须靠人的判断?
马斯克的回答很克制。他说,坦白讲,我没有所有答案。
但他给了一条原则:拿不准的时候,让推文留着。处于灰色地带的内容,让它存在,只是别去主动推荐它。
他对删除要极度不情愿,对永久封禁要极度谨慎。限时封禁比永久封禁好。
然后他给出判断言论自由是否存在的标准,这句话值得单独拎出来:
「你不喜欢的人,说了你不喜欢的话,如果这种情况能发生,我们就有言论自由。这很烦人,但这是言论自由健康运作的标志。」(马斯克)
世界首富拥有城市广场,这事怎么解释
Anderson 把反对者的声音原样搬上台:我们同意 Twitter 是极其重要的公共空间,它是全世界讨论生死问题的地方,那它怎么能由世界最富有的人拥有?
马斯克的回应分两层。
第一层,机制上约束自己。算法开源,人工干预留痕,他个人不会去编辑别人的推文。
第二层,拿同行做对比。扎克伯格同时拥有 Facebook、Instagram 和 WhatsApp,股权结构设计成哪怕传到马克十四世,这些实体还在他手里。
这话的意思是,媒体所有权集中不是他开创的,他只是把话挑明了。
那笔旧账:funding secured
访谈里有一段主动翻旧账,很多人不知道。
2018 年,马斯克发推说考虑以每股 420 美元把特斯拉私有化,资金已到位(funding secured)。SEC 起诉他证券欺诈,他最终和解,卸任董事长三年,罚款两千万美元。
四年后他在 TED 舞台上说,那句话是真的。
「SEC 知道资金确实到位了,但他们还是发起了公开调查。」(马斯克)
他说当时特斯拉财务状况岌岌可危,银行告诉他,如果不同意跟 SEC 和解,就停止提供营运资金,特斯拉会立刻破产。
「这相当于有人拿枪指着你孩子的头。我被迫向 SEC 认罪,非法地,那些混蛋。这让它看起来像是我撒了谎,而我没有撒谎。我被迫承认我撒了谎,只是为了救特斯拉的命,这是唯一的原因。」(马斯克)
这段话可以看成情绪宣泄,也可以看成一条重要的背景信息:他后来对监管机构的敌意,有很大一部分来自这次他认为的强制构陷。
同一段里他提到,特斯拉是股市历史上被做空最多的股票。空头在用「做空加造谣」(short and distort)的组合拳,铺天盖地的负面报道影响了招聘,也影响了卖车。
「他们想让特斯拉死,想得要命。」(马斯克)
Anderson 劝他,别把时间浪费在这些争斗上,人们更想买你的梦想。马斯克承认自己是个「mixed bag」,但补了一句:真相对我来说很重要,是一种病态程度的重要。
如果人生有一个编辑按钮,他删哪一年
Anderson 从观众提问里挑了一个:如果能回到过去改一个决定,你改哪个?
马斯克的答案跟 Twitter、跟特斯拉私有化都没关系。
他最后悔的商业决定,是没有和 JB Straubel 一起从头创办特斯拉。
这里他花了点篇幅纠正一段他认为是编造的历史。他强调,他投资时的特斯拉是个空壳公司,没有员工,没有知识产权。公司是他和 JB 一起创建的。至于「另一个联合创始人 Martin Eberhard 创建了公司」这个说法,他认为是假的,而且对方把澄清这件事当成了人生使命。
这个细节值得留意。JB Straubel 是那个痴迷电池、懂电池的技术联合创始人,后来离开特斯拉创办了电池回收公司 Redwood Materials。马斯克后悔的,是当年没有绕开那个现成的壳子,自己重新搭一个干净的公司架构。
三年地狱,换来一句话
Model 3 产能地狱。Anderson 问,是不是因为你当时高估了工厂自动化的可行程度,过度自动化差点把公司拖死?
马斯克的回答先纠正问题的框架:特斯拉最值得说的事,是造出了电动车原型,也做到了小批量生产,但这些都不是重点。
一百年来有几百家汽车创业公司。彭博统计过一次电动车创业公司,数到了近 500 家。造原型不难,小批量也不难。
真正难的是达到量产还不破产。做到这件事的上一家美国车企,是 1920 年代的克莱斯勒。
然后他承认,Model 3 那条产线,从电芯到电池包到驱动单元到电机到车身线到涂装车间到总装,几乎所有环节都搞砸了。
他在 Fremont 和内华达的工厂里住了三年,在产线上到处跑,跟团队一起熬。他刻意站在车间地面上,让熬得最苦的人看得见他。「他们受的苦,我受得更多。」
2017、2018、2019,他说这是他人生中最长的三年剧痛,没有别的办法,差一点就没挺过去。
Anderson 问,值不值。马斯克的回答是,不做特斯拉就死了。
然后他说了一句可以拿去当标题的话:
「事到如今,我觉得我比地球上任何活人都更懂制造。我能告诉你那辆车里每一个零件是怎么造出来的。」(马斯克)
三百太瓦时,才是他真正在算的数
访谈里他提到正在写新的总体规划,核心词是规模。
为什么死磕规模?因为要把一个严重依赖化石燃料的庞大经济体,转成可持续能源经济,量不够就等于没做。
路径他讲得很清楚:发电靠风、光、水、地热,他也说自己相信核能。风光是间歇性的,所以必须有固定式储能电池。然后交通全面电动化。这三件事做到,可持续能源的未来就成立。做得越快,环境风险越小。
所以谈规模,谈的是吨位,利润率的账另算。衡量单位是电池产量,而且要是可持续方式生产的。
他给出的数字是:大约需要 300 太瓦时的电池储能,才能把交通、电力、供暖制冷全部电动化。这大概是当时全球已装机量的 1000 倍。
顺带一个容易被忽略的点:电池回收。一个报废的电池包大约值 1000 美元,里面的原材料相当于高品位矿石。所以别以为那会是一堆没法处理的垃圾。
一个把话听成字面意思的孩子
放到这段 SNL 开场白时,马斯克念了自己的台词:「我是今晚创造历史的人,第一个主持 SNL 的阿斯伯格综合征患者,至少是第一个承认的。」
Anderson 问他,你怎么理解自己的阿斯伯格。
他的描述很平实。每个人的体验不同,他自己的情况是社交暗示不直观。别人能凭直觉听出弦外之音,他只会按字面理解,说出来的话是什么意思,他就当成什么意思。后来才发现不是这样,别人说的和想的不一样,他花了不少时间才搞明白。
他说自己的童年并不快乐,相当艰难。读了非常多的书,看了很多电影,从书里慢慢补上了别人天生就有的那部分能力。
Anderson 提了一个很温柔的假设:会不会正因为社交信号那扇门被关掉了一部分,脑子被推向了另一条路,让他能往世界的深处看?
马斯克说,有可能。然后给了个更朴素的技术视角:他觉得整夜一个人对着电脑敲奇怪的符号很有意思。大多数人觉得这不叫好玩,他是真的喜欢。
物理学是一种对真相的执念
Anderson 试着总结马斯克创新的方法:他同时看见三种可能性,科学的可能,技术的可能,还有经济的可能,也就是这东西到底能不能便宜地造出来。三者对齐的时候,他就有了信念。
马斯克的回答把源头指回了少年时代。他说自己有一种对真相的执念,病态程度的执念。所以去学物理,因为物理研究的是宇宙里可以被证明的真理,而且是有预测能力的真理。没人逼他学,是内在的兴趣。
然后是计算机科学和信息论,用来理解逻辑。他甚至提到一种观点:信息论可能比物理更基础。
42 是个玩笑,问题才是正经事
十几岁的时候,马斯克陷入过关于生命意义的抑郁。他读宗教文本,读哲学,还读了一堆德国哲学家。他说十几岁读德国哲学绝对不明智,会掉进很黑的地方。
救他的是《银河系漫游指南》。这本书看着是搞笑,其实是本伪装成笑话的哲学书。
道格拉斯·亚当斯的设定是,一台超级计算机算了几百万年,给出终极答案是 42。马斯克的重点不在答案,在亚当斯真正想说的那一层:问题比答案更难。你得先知道该问什么,才谈得上答案。
他顺势开了几个玩笑,42 乘以 10 是 420,意义重大十倍;42 度角出现了,说明不存在完美的三角形。
笑完之后他给出了自己的世界观:把宇宙当成那个已经给出的答案,我们要做的是搞清楚该对它提什么问题。
而扩大意识的范围和规模,生物的和数字的都算,人类才有能力提出更好的问题,理解我们为什么在这里、怎么来的、到底发生了什么。
「这就是我的驱动哲学:扩展意识的规模和范围,从而更好地理解宇宙的本质。」(马斯克)
他要给儿子留下一个什么样的世界
访谈最后放了一段他和儿子 X 的录像。Anderson 问,他会成长在一个什么样的未来里?
马斯克说,一个非常数字化的未来,跟他自己长大的世界完全不同。
然后是一段很少从他嘴里听到的话。他说我们要尽全力确保未来对所有人的孩子都是好的,是那种你早上醒来会为之兴奋的未来。
「未来不能只是一件又一件悲惨的事,解决一个又一个悲伤的问题。必须有让你兴奋、让你想活下去的东西。」(马斯克)
他承认未来仍有糟糕的可能,但存在一条通往激动人心的路,在地球上,在火星上,也在人工智能延展出的心智里。
Anderson 最后问,你内心深处真的相信你在为 X 和其他人交付那个未来吗。
马斯克说,我在尽最大努力。我爱人类,我们应该为一个好的未来而战,应该对未来保持乐观,然后为让这个乐观的未来发生而战。
这场访谈真正给出的东西
把 80 分钟的对话压缩成一条线,马斯克展示的其实是一套可复用的思考方式,跟他的具体项目关系不大。
他会把目标问题一路往下拆,直到拆出真正的地基。自动驾驶的地基是真实世界人工智能加视觉。人形机器人的地基是同一套东西,加上量产能力。反过来,一旦地基打通,上层建筑可以换形状,车可以变成人。
他敢公开给出激进的时间表,也敢公开承认自己错了,而且不觉得这两件事矛盾。他说得很直白,没有激进的时间表,什么都做不成。
他对「真相」的执着,好处是能在大量噪音里咬住事实不松口,坏处是他会把每一场他认为的污蔑都当成必须打赢的仗,包括跟 SEC 那场四年前的旧账,还要在 TED 的舞台上重讲一遍。
至于 Twitter 那段,最值得记住的不是收购数字,是他提出的两条机制:算法开源,人工干预留痕。这两个诉求跟立场无关,任何平台都能拿去检验。他也承认自己没有全部答案,灰色地带先让它存在。
最后,他说了一句关于自由的判断标准,这句话可以拿去检验任何一个平台,也可以拿去检验自己:你不喜欢的人说了你不喜欢的话,那才叫言论自由。
可以马上做的事
- 把手上那个一直推不动的项目拿出来,问一句:卡住的到底是表面问题,还是它底下那个一直不愿承认的更难的问题。马斯克花了六年才承认自动驾驶的地基是真实世界 AI,你不用花六年。
- 下次给团队定目标,允许自己把时间表说得激进一点。但配套做一件事:把「可能是假曙光」写进计划里,每三个月检查一次是不是撞到了对数曲线的平台期。
- 如果做产品,把「算法可解释」当成一条硬指标。用户能不能看见自己的内容被加强还是被压制,这个体验差距会越来越值钱。
- 评估任何自动化或 AI 工具的价值时,用马斯克那笔账的算法:一次性成本,对上被替代的年度人力成本,再加上工作时长和不休假的系数。算完再决定要不要上。
- 如果你对某个领域有执念,别急着把它当成缺陷。马斯克把「整夜一个人敲奇怪符号」这件事说成享受,很多人只是没找到自己愿意整夜敲的那个东西。
- 找一本你以为只是搞笑的書重读一遍。《银河系漫游指南》在马斯克这里是本哲学书,有时候答案不重要,把问题问对才重要。
0:02Hello. So, in just a few minutes Elon Musk will be joining us here live on stage for a conversation. Rumor has it, there are a few things to talk about with him. We will see. But before that, I just want to show you something special. I want you to come with me to Tesla's huge Gigafactory
0:33in Austin, Texas. So the day before it opened last week, the evening before, I was allowed to walk around it, no one else there. And what I saw there was honestly pretty mind-blowing. This is Elon Musk's famous machine that builds the machine. And his view, the secret to a sustainable future, is not just making an electric car, It's making a system that churns out huge numbers of electric cars with a margin so that they can fund further growth.
1:04When I was there, none of us knew whether Elon would actually be able to make it here today, so I took the chance to sit down with him and record an epic interview. And I just want to show you a nine-minute excerpt of that interview. So here from Austin, Texas, Elon Musk. Want us to switch now to think a bit about artificial intelligence.
1:27I'm curious about your timelines and how you predict and how come some things are so amazingly on the money and some art. So when it comes to predicting sales of Tesla vehicles, for example, I mean, you kind of been amazing. I think in 2014, when Tesla had sold that year 60,000 cars,
1:46you said 2020, I think we will do half a million a year. Yeah, we did all this exactly half a million. Five years ago, last time you came to town, I asked you about full self-driving. And you said, yep, this very year, I am confident that we will have a car going from LA to New York without any intervention. Yeah, I don't want to blow your mind, but I'm not always right.
2:12But so talk about what's the difference between those two? Why has full self-driving in particular have been so hard to predict. I mean, the thing that really got me and I think it's going to get a lot of other people is that there are just so many false storms with self-driving where you think you've got the problem,
2:32have a handle on the problem, and then it, nope, turns out you just hit a ceiling. And because if you were to plot the progress, the progress looks like a log curve. So it's like a series of log curves. So most people don't want to log curve business, but. It goes up sort of a fairly straight way.
2:57And then it starts tailing off. And you start. And there's a kind of ocean. And diminishing returns. In retrospect, they seem obvious. But in order to solve full self-driving properly, you actually just, you have to solve real world AI. You know, because you say like, what are the road networks designed to work with?
3:16The designs work with a biological neural net, our brains, and with vision, our eyes. And so in order to make it work with computers, you basically need to solve real world AI and vision. because we need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets.
3:52I guess when you put it that way, it's sort of like quite obvious that the only way to solve for self-driving is to solve real world AI and sophisticated vision. What do you feel about the current architecture? Do you think you have an architecture now where there is a chance for the logarithmic curve, not to tell off any time soon.
4:12Well, I mean, admittedly these may be an infamous last words, but I actually am confident that we will solve it this year. That we will exceed, so you say like the probability of an accident, what points do you exceed that of the average person? I think we will exceed that this year.
4:31We could be here talking again in a year. It's like, well, another year went by and it didn't happen. But I think this is the year. Is there an element that you actually deliberately make aggressive prediction timelines to drive people to be ambitious? Without that, nothing gets done.
4:48So it feels like at some point in the last year, seeing the progress on understanding that the Tesla AI, understanding the world around it, led to a kind of an aha moment, it has to. Because you really surprised people recently when you said, probably the most important product development going on at Tesla this year is this robot optimist.
5:13Is it something that happened in the development of full self-driving that gave you the confidence to say, you know what, we could do something special here? Yeah, exactly. So it took me a while to realize that in order to solve self-driving, you really needed to solve real world AI.
5:31And the point of which you saw real world AI for a car, which is really a robot on four wheels, you can then generalize that to a robot on legs as well. The things that are currently missing are enough intelligence for the robot to navigate the real world and do useful things without being explicitly instructed.
5:53So the missing things are basically real world intelligence and scaling up manufacturing. Those are two things that Tesla is very good at. And so then we basically just need to design the specialized actuators and sensors that are needed for a human-wide robot. People have no idea.
6:12This is going to be bigger than the car. But so talk about, I think the first applications you've mentioned are probably going to be manufacturing. But eventually the vision is to have these available for people at home. If you had a robot that really understood the 3D architecture of your house and knew where every object in that house was or was supposed
6:38to be and could recognize all those objects. That's kind of amazing, isn't it? The kind of thing that you could ask a robot to do would be what? Like tidy up. Yeah, absolutely. Or make dinner, I guess, more the lawn. Take a cup of tea to grandma and show her family pictures. Exactly, take care of like grandmother and make sure you're exactly.
7:04And it could recognize, obviously recognize everyone in the home. Could play catch with your kids. Yes. I mean, obviously we need to be careful if this doesn't become a dystopian situation. Like, I think one of the things that's going to be important is to have a localized ROM chip on the robot
7:22that cannot be updated over the air, where if you, for example, would it say stop, stop, stop, that would, if anyone said that, then the robot would stop, you know, type of thing. And that's not updateable remotely. I think it's gonna be important to have safety futures like that.
7:37Yeah, that sounds wise. And I do think they should be a regular career, since for many years. I don't love being regulated, but I think this is an important thing for public safety. And do you think there will be basically, like say, say 2050 or whatever, that like a robot in most homes is what they will be
7:55and people will probably love them and count on them. You'll have your own butler, basically. Yeah, you'll have your sort of buddy robot, probably. Yeah. I mean, how much of a buddy, do you, like, do you have any applications you thought is there, you know, can you have a romantic partner, a sex partner?
8:10I mean, a lot of money out there. It's probably inevitable. I mean, I did promise the internet that I'd make catgirls who could make a robot catgirl. I mean I'm trying to say that, you know. So yeah I guess it will be what whatever people want really, you know. What sort of timeline should we be thinking about of the first models that are actually
8:36made and sold? Well, you know the first, you know, that we tend to make art for jobs that are dangerous and things that people don't want to do. And, you know, I think we'll have, like, an interesting prototype sometime this year. We might have something useful next year, but I think quite likely within at least two years.
8:59And then we'll see rapid growth year over year of the usefulness of the human-wide robots at decreasing costs and scaling up production. How are we on the economics of this? So what do you picture the cost of one of these being? Well, I think the cost is actually not going to be crazy high.
9:15like less than a car. Yeah, but think about the economics of this. If you can replace a $30,000, $40,000 a year worker, which you have to pay every year, with a one-time payment of $25,000 for a robot that can work longer hours, doesn't go on vacation, and it could be a pretty rapid replacement of certain types of jobs.
9:42How worried should the world be about that? I wouldn't worry about the sort of putting people out of a job thing. I think we're actually going to have and already do have a massive shortage of labor. So I think we will have not people out of work but actually still a shortage of labor even
10:03in the future. But this really will be a world of abundance. Any goods and services will be available to anyone who wants them. It'll be so cheap to have goods and services. It'll be ridiculous. So that is part of an epic 80-minute interview, which we are releasing to people, members of TED 2022,
10:35right after this conference. You should be able to look at it on the TED Live website. There's public interest in it. We're putting that out to the world on Sunday afternoon, I think, Sunday evening. but if you're into this kind of stuff, definitely a good thing to do over the weekend.
10:54Now then, hearing from Elon Live, there's huge public interest in that. We have opened up this segment to live stream. And so we're joined right now by, I think, quite a few people around the world. Welcome to Vancouver, welcome to TED22. You're joining us in the last day of our conference here in a packed theater.
11:16And we've been hearing all week from people with dreams about what the next era of humanity is going to be. And now, arguably, the biggest visionary of them all. Elon Musk. Hey. Elon, welcome. So, Elon, a few hours ago, you made an offer to buy Twitter. Why? How'd you know? A little bird tweeted in my ear or something.
12:08I don't know. Have you seen the movie Ted About the Bear? I have. It's a good movie. It's not yet. So yeah, yeah. So, was there a question? Why make that offer? So, well, I think it's very important for there to be an inclusive arena for free speech where, oh, yeah. Twitter has become kind of the de facto town square.
12:47So it's just really important that people have both the reality and the perception that they're able to speak freely within the bounds of the law. And so one of the things that I believe Quater should do is open source the algorithm and make any changes to people's tweets, if they're emphasized or de-emphasized, that action
13:16should be made apparent so anyone can see that action has been taken. So there's no sort of behind the scenes manipulation either algorithmically or manually. But last week when we spoke, Elon, I asked you whether you were thinking of taking off. You said no way. You said, I do not want to own Twitter.
13:39It is a recipe for misery. Everyone will blame me for everything. What on earth changed? No, I think everyone will still blame me for everything. Yeah. If something, if I acquire a Twitter and something goes wrong, it's my fault, 100%. I think there will be quite a few arrows, yes.
13:57It will be miserable, but you still want to do that. I mean, I hope it's not too miserable, but I just think it's important to the funk. It's important to the function of democracy. It's important to the function of the United States as a free country and on many other countries and to help actually to help freedom in the world, more broadly than the US.
14:26And so I think it's, I think the risk, the civilizational risk is decreased if Twitter, the more we can increase the trust of Twitter as a public platform. And so I do think this will be somewhat painful and I'm not sure that I will actually be able to acquire it. And I should also say the intent is to retain as many shareholders as is allowed by the
14:58law in a private company which I think is run 2000 or so. So it's definitely not from the standpoint of let me figure out how to monopolize it. maximize my ownership of Twitter, but we'll try to bring along as many shoulders as we are allowed to. You don't necessarily want to pay out $40 or whatever it is billion in cash.
15:17You would like them to come with you. I mean, I could technically afford it. I have that. But what I'm saying is this is not a way to sort of make money. I think this is, it's just that I think this is, this could, my strong intuitive sense is that having a public platform that is maximally trusted
15:48and broadly inclusive is extremely important to the future of civilization. But you've described yourself. I don't care about the economics at all. Okay, that's core to here. This is not about the economics. It's for the moral good that you think will achieve. You've described yourself, Elon, as a free speech absolutist.
16:11But does that mean that there's literally nothing that people can't say and it's okay? Well, I think, obviously, Twitter or any forum is bound by the laws of the country that it operates in. So, obviously, there are some limitations on free speech in the US, And of course, Twitter would have to abide by those rules.
16:39So you can't incite people to violence. Like a direct incitement to violence. You can't do the equivalent of crying fire in a movie theater, for example. No, that would be a crime. Right. It should be a crime. But here's the challenge. It's such a nuanced difference between different things.
17:00So there's incitement to violence. That's a no if it's illegal. There's hate speech, which some forms of hate speech are fine. I hate spinach. Maybe if it's a sauteed and a cream source, it can be quite nice. But the problem is, so let's say someone says, OK, here's one tweet. I hate politician X. Next tweet is, I wish politician X wasn't alive,
17:30as some of us have said about Putin right now, for example. So that's legitimate speech. Another tweet is, I wish PolyticianX wasn't alive with a picture of their head, with a gun sight over it. Or that plus their address. I mean, at some point, someone has to make a decision as to which of those is not OK.
17:52Can an algorithm do that? Or surely you need human judgment at some point? No, I think the, like I said, in my view, Twitter should match the laws of the country, and really there's an obligation to do that. But going beyond that and having it be unclear who's making what changes to where, having tweets sort of mysteriously be promoted and demoted with no insight into what's going on, having a black box algorithm promote some things and other things, I think this can be quite dangerous.
18:36So the idea of opening the algorithm is a huge deal, and I think many people would welcome that, of understanding exactly how it's making the decision. And critique it. And critique it. Like I mean, I think the code should be on GitHub, you know? So people can look through it and say, I see a problem here.
18:57I don't agree with this. They can highlight issues. Suggest changes in the same way that you sort of update Linux or or signal or something like that, you know But as I understand it Like at some point right now What the algorithm would do is it would look at for example how many people have flagged a tweet as obnoxious
19:19and then At some point a human has to look at it and make make a decision as to does this cross the line or not But that the algorithm itself can't I don't think yet tell the difference between legal and okay and definitely obnoxious. The question is, which humans make that call?
19:39Do you have a picture of that? Right now, Twitter and Facebook and others, they've hired thousands of people to try to help make wise decisions. The trouble is that no one can agree on what is wise. How do you solve that? Well, I think we would want to err on this. If in doubt, let the speech let it exist.
20:03If it's a gray area, I would say let the tweet exist. But obviously, in a case where there's perhaps a lot of controversy that you would not want to necessarily promote that tweet. So I'm not saying this is the, I have all the answers here. But I do think that we wanna be just very reluctant
20:34to delete things and have just be very cautious with permanent bans, you know, timeouts I think are better than permanent bans. And just in general, like I said, It won't be perfect, but I think we wanted to really have, like I said, the perception and reality that speech is as free as reasonably possible.
21:05And a good sign as to whether there's free speech is someone you don't like allowed to say something you don't like. And if that is the case, then we have free speech. And it's dev annoying when someone you don't like says something you don't like. That is a sign of a healthy, functioning, free speech situation.
21:31So I think many people would agree with that. And look at the reaction online. Many people are excited by you coming in and the changes you're proposing. Some of this are absolutely horrified. Here's how they would say it. They would say, wait a sec. We agree that Twitter is an incredibly important town square.
21:46It is where the world exchanges opinion about life and death matters. How on earth could it be owned by the world's richest person? I can't be right. So how do you, I mean, what's the response there? Is there any way that you can distance yourself from the actual decision making that matters on content in some very clear way that is convincing to people?
22:10Well, like I said, I think the, it's very important that the algorithm be open sourced and that any manual adjustments be identified. like, so if somebody did something to a tweet, it's, there's information attached to it that that action was taken. And I would personally be, you know, in their editing tweets.
22:36But you'll know if something was done to promote demo or otherwise affect a tweet. You know, as for media sort of ownership, I mean you've got, you know, Mark Zuckerberg owning Facebook and Instagram and WhatsApp and with a share ownership structure that will have Mark Zuckerberg the 14th still controlling those entities.
23:04So, like literally. Well certainly the- We want to have that at Twitter. If you commit to opening up the algorithm, that definitely gives some level of confidence. So talk about some of the other changes that you've proposed. So the edit button, that's definitely coming. If you have your way.
23:28Yeah. And how do you? I mean, I think, I mean, frankly, the top priority I have, I would have is eliminating
23:42the spam and scam bots and the bot armies that are on Twitter. I think these fun influence, they make the product much worse. If I had a Dogecoin for every crypto scam I saw, we'd have more, about $100 billion Dogecoin.
24:13Do you regret sparking a sort of storm of excitement over Doge and you know where it's gone or? I mean, I think Doge is fun and you know, I've always said don't bet the farm and Dogecoin I think I think it's it's I like dogs and I like memes and it's got both of those and But just on the on the edit button How do you get around the problem of, so someone tweets Elon Rocks, and it's tweeted by two million people.
24:45And then after that they edit it, so Elon sucks. And then all those retweets, they're all embarrassed. And how do you avoid that type of changing of meaning so that retweaters are exploited? Well, I think you'd only have the edit capability for a short period of time. and probably the thing to do upon the edit would be to zero out or re-tweets and favorites.
25:14Okay. I'm open to ideas though, you know. So in one way the algorithm works kind of well for you right now. I just wanted to show you this. So this is a typical tweet of mine, kind of lame and wordy and whatever. And look at the amazing response it gets is this. Oh my god, 97 likes.
25:37And then I tried another one, and 29,000 lights. So the algorithm at least seems to be at the moment, you know, if Elon Musk expands to the world immediately. Not bad, right? Yeah, I guess so. I mean, it's cool. I mean, you've, but you've, so help us understand how it is you've built this incredible following
26:08on Twitter yourself when, I mean, some of the people who love you the most look at some of what you tweet and they think it's somewhere between embarrassing and crazy, some of it's amazing. I mean, it's a little, but it's, is that actually why it's worked or why is it worked? I mean, I'm tweeting more or less stream of consciousness.
26:34It's not like, let me think about some grand plan about my Twitter or whatever. I'm literally on the toilet or something. I'm like, this is funny. And then tweet that out. That's like most of them. You know, oversharing. But you are obsessed with getting the most out of every minute of your day.
26:55And so, why not? You know, so, I don't know, I just like try to tweet out like things that are interesting or funny or, you know, and then people seem to like it. So if you are unsuccessful, actually, before I ask that, let me ask this. In fact, I don't, yeah, so how can I say, is funding secured?
27:24I have sufficient assets to complete the, it's not a forward looking statement blah blah blah. But I have to, I mean I can do it if possible. Right. So, and I'm actually actually even in the, originally of the, with Tesla back in the day, the funding was actually secured. I want to be clear about that.
27:52In fact, this may be a good opportunity to clarify that. If funding wasn't being secured, and I should say, like, why do I not have respect for the SEC in that situation? And I don't mean to blame everyone at the SEC, but certainly the San Francisco office. It's because the SEC knew that funding was secured.
28:15But they pursued an active public investigation, nonetheless. At the time, Tesla was in a precarious financial situation. And I was told by the banks that if I did not agree to settle with the SEC, that the banks would cease providing working capital and Tesla would go bankrupt immediately.
28:32So that's like having a gun to your child's head. So I was forced to concede to the SEC, unlawfully, those bastards. Now, it makes it look like I lied when I did not in fact lie. I was forced to admit that I lied to save Tesla's life, and that's the only reason. Given what's actually happened to Tesla since then, though, aren't you glad that you didn't take it private?
29:07Yeah, I mean, it's difficult to put yourself in the position at the time. The Tesla was under the most relentless short seller attack in the history of the stock market. The best thing called short and distort, where the barrage of negativity that Tesla was experiencing from short sellers in Wall Street was beyond all belief.
29:29Tesla was the most shorted stock in the history of stock markets. This is saying something. So this was affecting our ability to hire people. It was affecting our ability to sell cars. was terrible. They wanted Tesla to die so bad they could taste it. Well, most of them have paid the price. Yes. Where are they now?
30:02So that was a really strong statement. Obviously a lot of people who support you, I would have you have so much to offer the world on the upside, on the vision side. Don't waste your time getting distracted by these battles that bring out negativity and make people feel that you're being defensive or that people don't like fights,
30:22especially with powerful government authorities. They'd rather buy into your dream. Aren't you encouraged by people just to edit that temptation out and go with the bigger story? Well, I mean, I would say, like, you know, I'm sort of a mixed bag, you know? I mean, what? Well, you're a fighter, and you don't like to lose.
30:56And you are determined that you don't, basically. I mean, you are. Sure, I don't like to lose. I'm not sure many people do. But the truth matters to me a lot. that really pathologically it matters to me. OK, so you don't have to lose. If in this case you are not successful in the board,
31:17does not accept your offer, you've said you won't go higher. Is there a plan B? There is. I think we would like to hear a little bit about plan B for another time, I think. Another time? All right. I, that's a nice tease. All right, so I would love to try to understand this brain of yours more, Elon.
31:57With your permission, I'd like to just play this. This is the, oh, actually, before we do that, he was one of the thousands of questions that people asked. I thought this was actually quite a good one. If you could go back in time and change one decision you made along the way, do your own edit button, which one would it be and why?
32:15Do you mean like a career decision or something? Just any decision over the last few years, like your decision to invest in Twitter in the first place or your anything? I mean the worst business decision I ever made was not starting Tesla with just JB's travel. By far the worst decision I've ever made is not just starting Tesla with JB.
32:43That's number one by far. All right, so JB Strabble was the visionary co-founder who was obsessed with and knew so much about batteries. And your decision to go with Tesla, the companies it was, meant that you got locked into what you concluded was a weird architecture now. There's a lot of confusion.
33:02Tesla did not exist in any, Tesla was a shell company with no employees, no intellectual property when I invested. But a false narrative has been created by one of the other co-founders, Martin Everhart. And I don't want to get into the end of the nastiness here, but I didn't invest in an existing company.
33:24We created a company. And ultimately, the creation of that company was done by JV and me. And unfortunately, there's someone else, another co-founder who has made it his life's mission to make it sound like he created the company, which is false. Wasn't there another issue right at the heart of the development of the Tesla Model 3, where Tesla almost went bankrupt?
33:51And I think you have said that part of the reason for that was that you overestimated the extent to which it was possible at that time to automate a factory. Huge amount was spent kind of over automating, and it didn't work. And it nearly took the company down. Is that fair? I mean, first of all, it's important to understand
34:16like what Tesla actually accomplished that is most noteworthy. It is not the creation of an electric vehicle or creating an electric vehicle prototype or low volume production of a car. There have been hundreds of car startups over the years, hundreds. And in fact, at one point, Bloomberg counted up the number of electric vehicle startups, and I think they got to almost 500.
34:47So the hard part is not creating a prototype or going into limited production. The absolutely difficult thing, which has not been accomplished by an American car company in 100 years, is reaching volume production without going bankrupt. That is the actual hard thing. The last American company to reach volume production without going bankrupt was Chrysler in the 20s.
35:12And it nearly happened to Tesla. Yes, but it's not like, oh geez, I guess if we'd just done more manual stuff, things would have been fine. Of course not. That is definitely not the case. So we basically messed up almost every aspect of the Model 3 production line from cells to packs
35:37to drive in voters, motors, body line, the paint shop, final assembly, everything. Everything was smised up. And I lived in the Fremont and Nevada factories for three years, fixing that production line, running around like a maniac through every part of that factory, living with the team.
36:10I stepped on the floor so that the team who was going through a hard time could see me on the floor. They knew that I was not in some ivory tower. Whatever pain they experienced, I had it more. And some people who knew you well, actually thought you were making a terrible mistake, that you were driving yourself to the edge of sanity almost.
36:37Yes, true. And that you were in danger of making bad choices. And in fact, I heard you say last week, Elon, that you, because of Tesla's huge value now and the significance of every minute that you spend, that you are in danger of sort of obsessing of it, spending all this time to the point of, to the edge of sanity. That doesn't sound
37:04super wise, isn't there? Like your time, your completely sane, centered, rested time and decision making is more powerful and compelling than that sort of, I can barely hold my eyes open. So surely it should be an absolute strategic priority to look after yourself. I mean, there wasn't any other way to make it work.
37:32There were three years of hell, 17, 18, 18, and 19. With three years, the longest period of excruciating pain in my life, there wasn't any other way. And we barely made it. And we were on the regular edge of the back of the city the entire time. So when you got drunk. I don't like it.
37:55Those were three, so much pain. But it had to be done or tells the word be dead. When you looked around the Gigafactory that we saw images of earlier last week and just see where the company has come, do you feel that this challenge of figuring out the new way of manufacturing that you actually have an edge now that it's that you actually have an edge now, that it's different, that you've figured out how to do this, and from those three years won't be repeated.
38:30You've actually figured out a new way of manufacturing. At this point, I think I know more about manufacturing than anyone currently alive on Earth. It's me that! APPLAUSE Yeah. I can tell you how every damn part in that car is made. Basically, you should just live on the factory, live in the factory for three years.
38:57And... That was nice. That was... For you to know it to something? Someone wants to compose a symphony to that expression of confidence, something like that. I have no idea what that is. Anyway, yeah, every aspect of a car of six weeks this Sunday, I know. I mean, you talk about scale right now.
39:18You're in the middle of writing your new master plan. And you've said that scale is at the heart of it. Why does scale matter? Why are you obsessed with it? What are you thinking? Yeah, well, see, in order to accelerate the advent of sustainable energy, there must be scale, because we've got a transition, a vast economy that is currently overly dependent on fossil fuels to a sustainable energy economy, one where the energy is,
39:48yeah, I mean, we've got to do it. So the energy's got to be sustainably generated with wind solar, hydro, geothermal, I'm a believer in nuclear as well I think ever talk about. And then since solar and wind is intermittent you have to have stationary storage batteries and then we're going to transition all transport to electric.
40:17If we do those things we have a sustainable energy future. The faster we do those things, the less risk we put to the environment. So sooner is better. And so scale is very important. It's not about fresh leases, it's about tonnage. What was the tonnage of batteries produced and obviously done in a sustainable way.
40:45And our estimate is that approximately 300 terawatt-hours of battery storage is needed to transition, transport electricity and heating and cooling to fully electric situation. Others may, there may be some different estimates out there, but our estimate is 300 terawatt-hours. Yeah.
41:09So we dug into this a lot in the interview that we had put it last week. And so people can go in and hear that more. I mean the context is that is I think about a thousand times the current install battery has I mean the scale up needed is breathtaking basically yeah and and yeah so so your vision is to commit Tesla to try to deliver on a meaningful
41:30percentage of what is needed yeah and what and call on others to do the rest that this is what this is a task for humanity to massively scale up our response to change the energy grade? Yes, it's like basically how fast can we scale and encourage others to scale to get to that 300 terawatt hour
41:53installed base of batteries. Right. And then of course, there'll be tremendous need to recycle those batteries, which is, and it makes sense to recycle them because the raw materials are like high grade ore. So if people shouldn't think, well, they'd be as big pile of batteries, nothing to get recycled because even a dead battery pack is worth about $1,000.
42:16But this is what's needed for a sustainable energy future. So we're going to try to take a set of actions that accelerate the day of a sustainable energy future sooner. OK. There's going to be a huge interest in your master plan when you publish that. Meanwhile, I would love to understand more what goes on in the sprain of yours, because
42:41it is a pretty unique one. I want to play with your permission this very funny opening from SNL, Saturday Night Live. Can we have the volume there, actually, please? Sorry. It's an honor to be hosting Saturday Night Live. I mean that. Sometimes after I say something, I have to say I mean that.
42:59So people really know that I mean it. That's because I don't always have a lot of international variation in how I speak. Which I'm told makes for great comedy. I'm actually making history tonight as the first person with Asperger's to host SNL. And I think you followed that up with...
43:23At least the first person to admit it. The first person to admit it. I mean... So this was a great thing to say. But I would love to understand in how you think of Asperger's. Like whether you can give us any sense of even you as a boy, what the experience was, or as you now understand with the benefit of hindsight.
43:51Can you talk about that a bit? Well, I think everyone's experience is gonna be somewhat different. But I guess for me, the social cues were not intuitive. So I was just very bookish and I didn't understand this. I guess others could sort of intuitively understand what does meant by something.
44:20I would just tend to take things very literally as the words as spoken were exactly what they meant. But then that Turn out to be wrong It's you can't they're not they're not simply saying exactly what they mean. There's all sorts of other things that are meant it took me a while to figure that out
44:38so You know, we'll eat quite a lot so I did I did not have a sort of happy childhood to be frank was quite quite rough and And I read a lot of books, lots and lots of books, and so that, you know, sort of gradually sort of understood more from the books that I was reading and watched a lot of movies.
45:07And you know, just, it took me a while to understand things that most people intuitively understand. So I've wondered whether it's possible that that was in a strange way an incredible gift to you and indirectly to many other people. In as much as brains, you know, are plastic and they go where the action is and if for
45:40some reason the external world and social cues which so many people spend so much time and energy and mental energy obsessing over, if that is partly cut off, isn't it possible that that is partly what gave you the ability to understand inwardly the world at a much deeper level than most people do?
46:01I suppose that's certainly possible. I think there's maybe some value also from a technology standpoint because I found it rewarding to spend all night programming computers just by myself. I think most people, most people don't enjoy typing strange symbols into a computer by themselves all night.
46:24They think that's not fun, but I thought it was, I really liked it. So I just program all night by myself and I found that to be quite enjoyable. But I think that is not normal. I mean, it does, you know, I've thought a lot about, it's a riddle to a lot of people of how you've done this, how you've repeatedly innovated in these different industries.
46:54And it does, you know, every entrepreneur sees possibility in the future and then acts to make that real. It feels to me like you see possibility just more broadly than almost anyone and can connect So you see scientific possibility based on a deep understanding of physics and knowing
47:14what the fundamental equations are, what the technologies are that are based on that science and where they could go, you see technological possibility. And then really unusually, you combine that with economic possibility. Like what it actually would cost, is there a system you can imagine where you could affordably
47:32make that thing? And that sometimes you then get conviction that there is an opportunity here, put those pieces together and you could do something amazing. Yeah, I think one aspect of whatever condition I had was I was just absolutely obsessed with truth, just obsessed with truth.
47:56And so the obsession with truth is why I studied physics because physics attempts to understand the truth of the universe. Physics is just what are the provable truths of the universe, and truths that have predictive power. So for me, physics was a very natural thing to study. Nobody made me study it.
48:23It was intrinsically interesting to understand the nature of the universe. And then computer science or information theory, also to just understand logic and there's an argument that information theory is actually operating at a more fundamental level than even physics. So physics and information theory were really interesting to me.
48:58So when you say truth, I mean, it's not like some people, so it's what you're talking about is the truth of the universe, like the fundamental truth that drives the universe. It's like a deep curiosity about what this universe is, why we're here, simulation, why not? We've got time to go into that.
49:15But I mean, you're just deeply curious about what this is for, what this is, this whole thing. Yes, I mean, I think the why of things is very important. I actually, when I was a young teens, I got quite depressed about the meaning of life. I was trying to understand the meaning of life, looking at reading religious texts and reading books on philosophy.
49:46I got into the German philosophers, which is definitely not wise if you're a young teenager, I have to say. And we went dark, but dark. So much better read as an adult. And then actually I ended up reading the Hitchhiker's Guide to the Galaxy, which is actually a book on philosophy, just sort of disguised as a silly humor book, but actually it's actually
50:14a philosophy book. And Adams makes the point that it's actually the question that is harder than the answer. He sort of makes a joke that the answer is 42. That number does pop up a lot. And 420 is just 10 times 42. Ten times more significant than 42. Okay. there's a triangle with 42 degrees and 269s.
50:46So there's no such thing as a perfect triangle, or is there? But even more important than the answer, is the question. That was the whole theme of that book. It's basically how you see meaning then. It's the pursuit of questions. Yeah, so I have a sort of, you know, a proposal for a worldview or a motivating philosophy,
51:10which is to understand what questions to ask about the answer that is the universe. And to the degree that we expand the scope and scale of consciousness, biological and digital, we would be better able to ask these questions, to frame these questions, and to understand why we're here, how we got here, what the heck is going on.
51:34And so that is my driving philosophy is to expand the scope and scale of consciousness that we made better understand the nature of the universe. You know, one of the things that was most touching last week was seeing you hang out with your kids. Here's, if I may... It looks vaguely like a ventriloquist on me there.
51:56I mean, how do you know that's real? So that's X and you know, it was just a delight seeing you hang out with him. What's his future going to be? I mean, I don't mean him personally, but the world he's going to grow up in. What future do you believe he will grow up in? Well, I mean a very digital future.
52:25A different world than I grew up in, that's for sure. But I think we want to obviously do our absolute best to ensure that the future is good for everyone's children. And that the future is something that you can look forward to and not feel sad about. you want to get up in the morning and be excited about the future and we should fight for the things that make us excited about the future.
53:00The future cannot just be that one miserable thing after another, solving one sad problem after another. There have got to be things that get you excited, like you want to live. These things are very important and you should have more of it. And it's not as if it's a done deal, like it's all to play for.
53:20Like the future may be horrible. Still there are scenarios where it is horrible, but you see a pathway to an exciting future, both on Earth and on Mars and in our minds through artificial intelligence and so forth. I mean, in your heart of hearts, do you really believe that you are helping deliver that exciting
53:43future for X and for others. I mean, I'm trying my hardest to do so. I, you know, I love humanity and I think that we should fight for a good future for humanity and I think we should be optimistic about the future and fight to make that optimistic future happen. Gailana, I think that's a perfect place to close this.
54:16Thank you so much for spending time coming here and for the work that you're doing and good luck with finding a wise course through on Twitter and everything else. Give them a must. Thank you. Thank you. Thank you. Thank you. Thank you. That was really something. Thank you, now. That was really something.
目前缺的是足够的智能,让机器人能在现实世界中导航,并在没有明确指令的情况下做有用的事。所以缺的基本就是现实世界智能和扩大制造规模。而这两件事正是 Tesla 非常擅长的。
The things that are currently missing are enough intelligence for the robot to navigate the real world and do useful things without being explicitly instructed. So the missing things are basically real world intelligence and scaling up manufacturing. Those are two things that Tesla is very good at.
如果你能用一次性支付 25,000 美元买一台能工作更久、不休假的机器人,去替代一个每年要付 3 万、4 万美元年薪的工人,那某些类型的工作可能会被相当迅速地替代。
If you can replace a $30,000, $40,000 a year worker, which you have to pay every year, with a one-time payment of $25,000 for a robot that can work longer hours, doesn't go on vacation, and it could be a pretty rapid replacement of certain types of jobs.
我认为我们不会让人失业,实际上即便在未来也仍会缺劳动力。但这真的将是一个富足的世界。
I think we will have not people out of work but actually still a shortage of labor even in the future. But this really will be a world of abundance.
Twitter 已经有点成了事实上的城市广场。所以真正重要的是,人们既有现实也有感知:在法律允许的范围内,他们能够自由发言。
Twitter has become kind of the de facto town square. So it's just really important that people have both the reality and the perception that they're able to speak freely within the bounds of the law.
言论自由的一个好迹象是:你不喜欢的人被允许说你不喜欢的话。如果情况如此,那我们就拥有言论自由。
And a good sign as to whether there's free speech is someone you don't like allowed to say something you don't like. And if that is the case, then we have free speech.
到这个时候,我认为我比地球上任何在世的人都更懂制造。
At this point, I think I know more about manufacturing than anyone currently alive on Earth.
我就是绝对痴迷于真相,纯粹痴迷于真相。所以对真相的痴迷是我学物理的原因,因为物理试图理解宇宙的真相。物理就是宇宙中可证明的真相,以及有预测力的真相。
I was just absolutely obsessed with truth, just obsessed with truth. And so the obsession with truth is why I studied physics because physics attempts to understand the truth of the universe. Physics is just what are the provable truths of the universe, and truths that have predictive power.
而我们扩展意识——生物意识和数字意识——的范围和规模的程度越高,就越能提出这些问题、框定这些问题,并理解我们为什么在这里、我们怎么来到这里、到底发生了什么。
And to the degree that we expand the scope and scale of consciousness, biological and digital, we would be better able to ask these questions, to frame these questions, and to understand why we're here, how we got here, what the heck is going on.
未来不能只是一件接一件的惨事,解决一个又一个悲伤的问题。必须有一些让你兴奋、让你想活下去的事情。
The future cannot just be that one miserable thing after another, solving one sad problem after another. There have got to be things that get you excited, like you want to live.
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