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198 episodes2 active
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All-InEN · 39 min

Jared Isaacman: A New Era for NASA and American Space Exploration

Jared Isaacman

NASA is shifting capital from consensus-driven programs toward explicit national objectives, targeting Artemis 3 in summer 2027 and Artemis 4 in 2028.Repeated lunar missions could create demand for landers, rovers, and resource experiments, while public funding concentrates on fission power and nuclear-electric propulsion.SR1 Freedom’s 2028 target, uncertain lunar returns, and China’s ambitions make execution and launch capacity key watchpoints.

十字路口CrossingZH · 70 min

于是转身向具身走去|对话王家伟:24 岁的具身智能首席科学家

Koji王家伟

具身智能正从单次演示转向 OOD 适应、steerability 与 context 理解,覆盖即时反馈和长期记忆。深普以 UMI 数据闭环推进真机验证,超过95%轨迹可执行;年底模型的泛化和评测、scaling law 仍待验证,延迟与数据成本构成约束。

卫诗婕|漫谈 Light the StarZH · 149 min

88.在新加坡,与祥峰郑俊聪的访谈:硬科技,下一代 Long China 与华人创新的信心史

卫诗婕郑俊聪

祥峰中国四年不投DeepSeek、智谱、Kimi等大模型,转向AI for science与物理AI,新基金至少50%投具身智能。宇树以成本降一个梯级打开应用场景,量产一致性成为壁垒;中国供应链按周迭代与香港、内地上市,重塑Long China的创新与退出逻辑。

高能量ZH · 144 min

Vol.235 投了宇树、智元和银河通用之后:王华东在担心什么

李翔王华东

具身智能正经历中国投资史上前所未有的高估值融资潮,但王华东认为“贵不是问题”,关键在于能否交付有价值、产生毛利的产品。宇树在2021年B轮投前估值约7亿元时,已按出货量位居四足机器人全球第一;行业仍须警惕以更贵、更不可控的方案重做Rule-based已解决的问题,并观察Room-based落地与迭代能否兑现商业化。

Machine Learning Street TalkEN · 26 min

How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu

Tim ScarfeMing-Yu Liu

NVIDIA’s Cosmos 3 unifies video understanding, generation, and action, using a reason tower to initialize a diffusion generator and leveraging human video to address scarce robot-action data.Its first practical edge is policy verification: preserving checkpoint rankings could reduce costly real-world fleet testing, but simulator hacking and harmful cross-embodiment transfer remain unresolved risks.

十字路口CrossingZH · 43 min

当具身智能走到十字路口|对谈苏度、蚂蚁灵波、自变量、破壳:四种一线判断

Koji韩铮沈宇军王潜许华哲

Astra实测显示,语义和空间泛化较强,复杂接触任务却暴露出物理泛化短板。仿真抓取、放置、组装已接近100%成功率,但真实触觉信号与仿真仍“基本上千差万别”。商业化取决于客户持续付费及多数任务接近100%的可靠性,3年内通用服务能否出现仍待验证。

SourceryEN · 60 min

Saronic's 4 Co-Founders on Building a $9.25B Shipbuilder | Part III

Dino MavrookasRob LehmanDoug LambertVibhav AltekarMolly O'Shea

China outbuilds the US 230-to-1, while only 1% of roughly $1T 2026 Department of War budget went to autonomy.Saronic says faster iteration and volume can change maritime economics, with Marauder’s propulsion stack bench-built eight months before its 180-foot ship existed.Policy tailwinds are possible, but legal approval, manning requirements, classified subsea technology, and supply-chain bottlenecks remain watchpoints.

MoonshotsEN · 144 min

OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes

Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque

Astra reportedly delivers 3.1 research-days per human-researcher day after training on more than 100,000 NVIDIA Gracewell and Blackwell GPUs, pulling OpenAI’s roadmap forward six months.With 10,000 agents tackling Navier–Stokes for approximately $6.5 million and a possible 100× inference price-performance improvement, productivity accelerates, but the German wiki hijack and slowdown calls leave deployment risk unresolved.

SourceryEN · 33 min

Inside the Factory Building America’s Autonomous Navy

Molly O'SheaDino Mavrookas

Saronic’s $9.25B valuation and $2.6B raised center its shipbuilding thesis on capacity, with Port Alpha’s $3.2B initial buildout adding 150,000 gross tons.An Austin line designed for 2,000 Corsairs annually combines hardware-software co-design, software reuse, and 25,000+ testing hours, but ocean reliability remains unresolved.

高能量ZH · 60 min

Vol.232 产业观察44|具身智能+AI4S,能诞生什么新物种?

李翔连文昭

具身智能路线仍未收敛,但行业正从Demo转向场景落地。原洛以物体和力模态闭环,瞄准湿实验瓶颈,常见流程80%以上可复现。“物理基座”能否商业化,仍取决于仪器利用率30%—40%的提升、海外开机可靠性与偏高预期。