筛选结果
58 篇排序
41:36ENFour Months to Drive Tokyo: How Wayve Bet the Company on One End-to-End NetworkWayve CEO Alex Kendall tells Sequoia’s Training Data why AV 2.0 ditches HD maps and hand-written stacks for a foundation model that can adapt to a new car and a new country in weeks.
45:21ENApplied Intuition Is Worth $15 Billion, Hasn't Spent Its Capital, and Wants to Be the OS for Cars and Tanks主持 Sarah Guo, Elad GilOn No Priors, Qasar Younis and Peter Ludwig explain the Microsoft playbook for vehicles, why they waited for autonomy techniques to converge, and why Waymo's business model is the question that follows the demo.
38:14ENKyle Vogt Pitched 120 Investors for Cruise. He Will Not Sell the Home-Robot Company主持 Sarah Guo, Elad GilThe Twitch and Cruise co-founder tells Sarah Guo and Elad Gil why Tesla won on business model, why chores should be automated, and why a tiny AI-era team is enough.
44:30EN100,000 Rides a Week, Six Times Fewer Airbag Crashes: Waymo’s Co-CEO on Eighteen Years of Full Autonomy主持 Sarah Guo, Elad GilDmitri Dolgov tells No Priors how a dozen Googlers, ten 100-mile routes, and a 2013 refusal to settle for driver assist became a rider-only service with an insurer-audited safety record.
44:16ENA perfect demo is ten years from a product you can pay for主持 Sarah Guo, Elad GilAndrej Karpathy uses Waymo's decade-long gap, Tesla's software bet, and a new AI course to argue that autonomous intelligence will stall at product and globalization, not at the first impressive clip.
1:50:08EN → 简体中文Waymo 的受伤率低了五倍,却仍输给一辆 Lyft主持 Nathan Labenz人类司机平均每 1 亿英里才发生一起致命事故,这道门槛至今仍是自动驾驶争论的标尺。
3:04:52EN → 简体中文医生在九个维度中有八个更青睐 AI:一位 GPT-4 红队测试者的侦察报告主持 Nathan LabenzNathan Labenz 在 80,000 Hours 播客上讲述 2023 年末的系统已经能做什么、哪些门槛仍然重要,以及两极化的政策之争为何反而成了强硬监管的礼物。
1:36:39ENOpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common Sense主持 Nathan LabenzGhost Autonomy cofounder John Hayes tells Cognitive Revolution why a multimodal model on the driving path could reset self-driving after two decades of DARPA-era stacks.
3:28:47ENKarpathy Calls Trained Neural Nets Complicated Alien Artifacts嘉宾 Andrej Karpathy · 主持 Lex FridmanOn Lex Fridman's podcast, Andrej Karpathy refuses the brain analogy, walks the Fermi paradox through Nick Lane's chemistry, and treats the Transformer as a general-purpose differentiable computer.
1:09:10EN → 简体中文飞上火星的骁龙,同样跑在 Galaxy 手机里嘉宾 Cristiano Amon · 主持 Lex Fridman高通(Qualcomm)CEO Cristiano Amon 与 Lex Fridman 聊 5G、骁龙、汽车、芯片短缺,以及如何找到自己能力的边界。
2:31:48ENA Car That Cannot Drive Itself Will Be About as Useful as a Horse嘉宾 Elon Musk · 主持 Lex FridmanIn a Lex Fridman conversation built around Tesla Autopilot, Elon Musk argues that every driver input is an error, that today’s hardware is already enough for full self-driving, and that watching the human will soon matter less than making the system safer than a person.
3:14:14EN → 简体中文四个关节,八万磅:Boris Sofman 谈 Cozmo 与 Waymo嘉宾 Boris Sofman · 主持 Lex FridmanAnki 联合创始人谈如何把少数几个表达通道推到极致,一家深受喜爱的机器人公司为何仍然倒闭,以及同样的约束思路如今如何支撑 Waymo 的卡车。
3:12:17EN → 简体中文你最好已经拥有了你想要的一切嘉宾 Steve Viscelli · 主持 Lex Fridman一位前长途卡车司机、如今任教于宾夕法尼亚大学的社会学家,和 Lex Fridman 梳理卡车运输如何从黄金时代的行当,沦为不得已而为之的最后选择,以及机器人可能以六种方式接手这份工作。
2:23:10EN → 简体中文造司机,不造副驾:Waymo 首席技术官 Dmitri Dolgov 谈全无人驾驶汽车嘉宾 Dmitri Dolgov · 主持 Lex Fridman从斯坦福一个凌晨三点的停车场规划器,到凤凰城一辆公开载客的无人驾驶出租车,Dolgov 向 Lex Fridman 讲述了为什么驾驶辅助(driver assist)和真正的司机是两种不同的产品。
1:44:47EN → 简体中文Erik Brynjolfsson:指数级错配如何重塑工作与政治嘉宾 Erik Brynjolfsson · 主持 Lex Fridman斯坦福经济学家对 Lex Fridman 说,新冠疫情、人工智能和社交网络都在惩罚线性直觉;只有大家共享繁荣,“把蛋糕做大”这套说法才站得住。
3:12:55EN → 简体中文毁灭世界所需的智商,每年降低一分嘉宾 George Hotz · 主持 Lex FridmanGeorge Hotz 谈费米悖论、破解模拟世界,以及用神经网络教汽车开车。
1:41:37ENThe Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solved嘉宾 Jitendra Malik · 主持 Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.
1:22:51ENDensity, Not Demos: Sertac Karaman on Robots That Fly and Drive嘉宾 Sertac Karaman · 主持 Lex FridmanThe MIT roboticist and Optimus Ride co-founder on why sharing space with people is harder than building the machine, and why flying at transportation scale is still the tougher problem.
1:38:33EN → 简体中文也许人是在另一套假设下理性的嘉宾 Anca Dragan · 主持 Lex FridmanAnca Dragan 与 Lex Fridman 谈逆强化学习(inverse reinforcement learning)、自动驾驶,以及为什么写下的奖励更像证据,而不是法律。
1:34:44EN → 简体中文摩尔定律四十年来一直“快要死了”嘉宾 Jim Keller · 主持 Lex Fridman芯片架构师 Jim Keller 向 Lex Fridman 解释:为什么一连串收益递减的曲线合起来仍像指数增长,为什么每 5 年就要重写一次 CPU,以及为什么开车并不是一个超级难的问题。
1:18:41EN → 简体中文抱过一个犹太男孩的党卫军士兵,以及仍会骗过我们的那些系统嘉宾 Daniel Kahneman · 主持 Lex FridmanDaniel Kahneman 谈系统 1、不知道自己在说什么的深度学习,以及为什么一台必须呼叫人类的机器,几乎和一台永远不需要人类的机器一样难做。
1:18:35ENThe last job Sebastian Thrun wants is one he is already good at嘉宾 Sebastian Thrun · 主持 Lex FridmanLex Fridman talks with the roboticist behind Stanley, Google’s self-driving car, Udacity, and Kitty Hawk about learning, safety, and why traffic is a choice.
56:47ENWhy Vijay Kumar Refuses to Call Them Drones嘉宾 Vijay Kumar · 主持 Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.
1:59:37ENLane Centering Is the Only Self-Driving Feature That Already Helps嘉宾 George Hotz · 主持 Lex Fridmancomma.ai founder George Hotz tells Lex Fridman why staying in the lane beats Level 5 promises, and why a robotaxi stack still has no network effect.
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