[BidClub_]
314 episodes2 active
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1000xEN · 60 min

MARKET UPDATE: What The Blue Tsunami Means For The Markets

Jonah Van BourgAvi Felman

The Democratic sweep signals an affordability revolt, not rejection of conservative principles; Avi sees a three-month post-midterm relief window, unless the Iran war continues.Slower data-center supply could benefit Amazon and Microsoft, while a stalled Galaxy Helios build could send shares to $8.Oil divides the hosts: Avi expects a short, while Jonah sees Strait of Hormuz risks supporting a rebound.

Shanghao JinZH · 38 min

市场概述2026年11月3日

Shanghao Jin

Shanghao Jin 承认十月低估流动性:半导体仓位转负、标普估值由23倍降至18倍;Anthropic 融资结束及美国是否继续打仗是反弹观察点。远期需求不明令 AI 融资折价,产业却提前锁定算力;建设瓶颈或延长 GPU、CPU 短缺,却令 DRAM 承压。

MoonshotsEN · 137 min

Anthropic’s $2T Cash Machine, CoreWeave Crashes 30%, & China’s Kimi Catches Up | #306

Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque

Anthropic’s proposed $1.5–2 trillion IPO pairs $16.3 billion in first-half 2026 revenue and nearly $1 billion in Q2 operating profit with more than $500 billion in compute commitments.Neocloud declines expose financing risk, with rivals reportedly borrowing at 15% versus SpaceX’s 8%; recursive self-improvement could eventually shock compute demand.Kimi K3.1 Pro’s score of 55, planned open weights and $2/$10 per million input/output token pricing add pressure on closed-model economics as reliability and task completion gain importance.

168XZH · 82 min

168X 对话 Rick:Anthropic IPO 之后,AI 的下一阶段是什么? #2

Rick

Rick预测头部模型公司可能在半年至一年内从订阅转向交付科学成果,药物配方、新材料等将扩大收入来源。即使变现放慢,他认为递归自我迭代的竞争仍迫使前沿公司全力投入算力;AI发债推高利率的风险,以及收入兑现速度,仍待观察。

Shanghao JinZH · 35 min

市场概述2026年10月27日

Shanghao Jin

他将AI下跌归因于利率与信用流动性冲击,而非需求转弱。新云今明年融资约2300亿、4200亿美元,hyperscaler尚余约5000亿美元空间,债务检验在2027年底至2028年。他转述Anthropic的S-1称收入放缓源于缺卡;利率稳定或缓压,但战争和反弹时点未明。

屠龙之术ZH · 126 min

不是,怎么又换版本了?---狂飙中的AI 2026

庄明浩

OpenRouter开源模型占token量71.8%、花费26.9%,平台不代表全网。核心巨头2026年CapEx预测约8000亿美元,高于约7000亿美元自由现金流,当年举债已达2480亿美元。

ChipstratEN · 50 min

My Conversation with Dylan Patel and Stacy Rasgon

Austin LyonsStacy RasgonDylan Patel

Financing costs and shortages in substrates, memory, and clean-room capacity could constrain AI infrastructure supply through 2028, while on-site generation may ease power limits.Construction exceeds $60 billion per gigawatt, shifting cost negotiations; Nvidia’s pricing power depends on performance gains outpacing higher costs.Patel expects Nvidia’s CoWoS and HBM share to fall, even as earnings at least double next year; custom silicon and enterprise token demand remain key signals.

The Cognitive RevolutionEN · 90 min

AI:AM Highlights: Clean Neurons, Black October, the GPU Credit Crunch, and Buying the Supply Chain

Nathan LabenzPrakash NarayananZvi MowshowitzEvan ConradLonis Hamaili

Zvi Mowshowitz sketches a conditional weekly-release path; contacts call 2027 “completely crazy” and say 2028 “might be unrecognizable.”Evan Conrad says GPU financing is constrained “entirely” by credit; three-to-five-year commitments and sometimes 100% upfront payments could force lab sales within one or two years.Cambrian sees memory rerating from five-to-six times earnings to 10–12 times if demand keeps outrunning supply.

MoonshotsEN · 146 min

SpaceX’s AI Business Up 830%, OpenAI Agents Lie, and Startup Turns Mercury Into Gold | EP #305

Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-Gross

SpaceX’s AI pivot pairs nearly $20 billion in quarterly spending with sub-year data-center payback and guidance for $100 billion annual revenue run rate by December.A possible SpaceX–Tesla merger remains exploratory, with no agreed terms; the 30–40% premium estimate sharpens approval and Musk-dependence risks.Agent monitoring failures and decade-old PHP vulnerabilities also make defensive AI infrastructure an immediate operating requirement.

The a16z ShowEN · 61 min

Amazon CEO: $220 Billion Still Can’t Meet AI Demand

Andy JassyBen HorowitzErik Torenberg

Amazon expects about $220 billion of 2026 CapEx, yet AWS capacity is sold out for 2026, largely for 2027, and partly for 2028; AWS AI has exceeded a $25 billion revenue run rate.Data centers require investment roughly two years before monetization, pressuring free cash flow; broader enterprise inference adoption also hinges on costs Jassy still calls an order of magnitude too high.