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165 episodes3 active
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晚点聊 LateTalkZH · 127 min

183: 与Henry的「AI季报26Q3」:Muse引爆个人助理、Astra进入机器人、OpenAI收入猛增

Henry Yin程曼祺

个人助理正从聊天入口转向主动执行的操作层:Dots月费100/200/500美元,Muse靠免费版本和社交平台分发。GPT-6 Astra在RoboDojo中平均成功率超22%,领先GPT-5.5与π0.5,但算力短缺和安全事故仍是风险。

The a16z ShowEN · 52 min

AI, Infrastructure, and the Next Investment Cycle

David GeorgeSarah WangAlex ImmermanSantiago Rodriguez

AI’s rally is being driven by earnings rather than multiple expansion, with the S&P 500 below 20 times earnings while growing about 15%.Capex is projected to rise from $416 billion in 2025 to about $780 billion in 2026 and exceed $1 trillion annually from 2027; enterprise adoption remains concentrated in pilots, with inference-cost declines and workflow deployment as catalysts.

硅谷101ZH · 58 min

E253|谁在给大模型出题、卖题、判卷?聊聊AI数据行业的野蛮生长

Yiwen何允中孙一铀

AI数据估值急涨:AfterQuery今年4月A轮估值3亿美元,9月新一轮已推至32亿美元;Meta入股Scale AI给出超290亿美元估值。行业从人工标注转向rubric与RL environment,垂直采购和研发能力成为关键护城河,但rubric是否见顶、Benchmark权威、数据造假及数商能否持续杠杆化仍待验证。

Latent SpaceEN · 81 min

The $10 Trillion Token Economy — Alex Atallah, OpenRouter & Anjney Midha, AMP

swyxAlex AtallahAnjney Midha

Stripe–OpenRouter reframes the token economy as a security market, with token flows projected at roughly $5 trillion in five years and $10 trillion over ten.OpenRouter’s moat spans over 10 million developers and roughly 10 trillion tokens daily, while frontier labs struggle to turn checkpoints into revenue.Fraud could drive discrete-task pricing and bring-your-own-inference, while the deal accelerates OpenRouter’s roadmap.

20VCEN · 81 min

Meta's Muse tops charts; Menlo's AI bubble alarm; Factory at $5B

Harry Stebbings

Meta's Muse, called the first real ChatGPT competitor, pairs autonomous agents with a free consumer LLM and added roughly $100B to Meta's market cap.Jev targets 20% of LLM API spend at one-fifth the price, potentially turning $20B into $4B of revenue.OpenAI's projected $278B net burn and roughly $700B of CapEx keep capital intensity central to the AI trade.

Invest Like the BestEN · 64 min

Gabe Stengel - Building Investing Superintelligence - [Invest Like the Best, EP.492]

Patrick O'ShaughnessyGabe Stengel

Rogo’s model-era progression—from o1 Pro’s reliable search to Opus 4.5 handling junior finance work—supports a two-year race to redesign investment firms, not wait for better models.Its wedge is private-market dealmaking, where data rooms, DDQs, CRM and LP reporting still lack infrastructure, while high-value ideas can justify extreme token spend.The watchpoints are compaction, standardization, and whether incumbents move aggressively enough.

MoonshotsEN · 143 min

Frontier Labs Want to Slow Down, OpenAI Delays Its 2026 IPO, Anthropic Flags 5 Bioweapon Cases

Peter DiamandisSalim IsmailDave BlundinDr. Alexander Wissner-Gross

Dario Amodei proposes slowing frontier releases through employee-level third-party evaluators, lab coordination, and international bioweapons cooperation, while Alex Wissner-Gross calls the campaign a possible “safety cartel.”Anthropic reports biological-weapons cases and says it can no longer confidently assure models remain below the dangerous threshold, strengthening the case for mutual API testing while leaving cartel-like coordination unresolved.

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。

20VCEN · 78 min

20VC: Jensen's AGI Call, Astra & Fable 5.1, Cybercabs, Descartes Exit

Harry Stebbings

Jensen Huang’s AGI claim meets Rory O’Driscoll’s skepticism, while Fable 5.1 delivers Jason Lemkin’s first step-function coding experience since last year’s “three dot” models.Instinct’s quickly cloned WhatsApp distribution, $2.5B pre-revenue valuation, Wonderful’s $5B repricing, and Anthropic’s reported roughly $6B deal reversal expose a market where rule-breaking and capital access remain central.

Dumb Money LiveEN · 65 min

GPT-6 Astra Is Here. Are You Holding the Wrong AI Stocks?

Astra’s roughly 3x productivity on the same compute makes Jevin’s paradox tangible: lower AI costs could drive far greater usage, not weaker infrastructure demand.Its tenacious A-to-Z autonomy still takes shortcuts, leaving human engineers essential and preserving incentives to scale compute, memory, and energy.Amazon, Unity’s $18B entry, and trillion-dollar IPO filings frame catalysts; AI-driven margin gains in earnings calls are the efficiency signal to monitor.