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442 episodes1 active
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SemiAnalysisEN · 54 min

Ep. 033 - 300 Data Center Bans, 3 Projects Delayed: Moratoriums Explained (Datacenter, Energy)

Maya BarkinReyk KnühtsenJordan NanosJeremie Eliahou Ontiveros

Mapping 400+ local instruments against 3,500 projects finds 300+ moratoriums but only three projects actively affected: AWS, NorthPoint, and CoreSite.Roughly 80% of live restrictions have no capacity behind them, leaving the forecast unchanged and making behind-the-meter power more attractive; New York delays roughly 800MW by 6–10 months, while an off-grid-blocking Texas-scale ban is key risk.

All-InEN · 44 min

Meta's Dina Powell McCormick: The Case for Data Centers, Backlash, AI Job Boom & Meta’s Future

Dina Powell McCormick

Meta’s multibillion-dollar Richland Parish project lifted sales-tax growth from 5–10% to a 260% peak and certified employees’ checks from $10,000 to $50,000.Louisiana shifts generation, grid resilience, upgrades and storm costs to Meta; the Academy produced 250 graduates and 90% retention from 40,000 applicants, while Google and BlackRock support scaling amid backlash and Cotton and Warner’s adversary theory.

All-InEN · 18 min

Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem

Brad Gerstner

Gerstner argues the rally is earnings-driven, even as semiconductor concentration accounts for 70% of Nasdaq’s return.The AI buildout still depends on lab revenue scaling, while rates, power constraints, regulation and a delayed Anthropic IPO remain key risks.

The Outlier Trading PodcastEN · 61 min

David Hunter: The Fed Just Hiked Rates: Here's What You Need to Know | The Outlier Podcast

David Hunter

The 25bp hike was fully priced, but the hawkish presser briefly hit E-minis and small caps as oil topped $100 and diesel exceeded $6.Hunter sees a one-and-done move, rates near a three-year top, and December hike odds trending down.His melt-up targets are S&P 10,000, silver 200, and gold 7,000, with AI correction, oil, and midterms as risks.

168XZH · 58 min

AI 產業挖掘機:美股有望再創新高,日韓縮量難跟上

Mr. ZAI 產業挖掘機

标普500成分股EPS约30%的增长支撑美股创新高,但日韩港股仍受成交量塌缩和资金通道关闭拖累。前沿模型凭借最佳模型与产品维持议价权,OpenAI关闭200美元套餐;推理margin约80%,开源部署强化云的经济性。FOMC落地后的反弹窗口或在九月下旬至十月,但Anthropic十月底IPO、通胀、欧债与AI capex争夺资金仍需监测。

SemiAnalysisEN · 62 min

Ep. 031 - EMERGENCY EPISODE: Are We Doomed? | Jordan Nanos, Doug O'Laughlin, Max Kan, Joey Brookhart

Jordan NanosDoug O'LaughlinMax KanJoey Brookhart

“Pacing” would slow Anthropic’s capability progress without halting training or compute purchases, potentially weakening its strongest internal model.Near-term scarcity and safety workloads keep compute demand elevated, while semiconductor signals increasingly depend on frontier-lab ARR and capacity premiums.Bank hacks, data leaks, or AI-assisted biological attacks could accelerate regulation.

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。

硅谷101ZH · 92 min

E251|推理芯片之战:聊聊Groq、Cerebras与OpenAI三大路径与Bill Dally的设计哲学

泓君Mark徐子扬

推理竞争正从峰值算力转向每百万Token成本,decode反复读取全模型,使带宽成为核心瓶颈,SRAM的带宽经济性因此显现。Groq依靠编译期调度,Cerebras依靠晶圆级集成,但MoE路由、通信、良率、供应链与动态增长的KV cache仍是规模化验证的关键风险。

The Cognitive RevolutionEN · 131 min

The Balance of AI Power: Anton Leicht on Politics, Pacing Deals, and Muddling Through Well

Nathan LabenzAnton Leicht

Anton Leicht now sees misalignment cases as a major future problem, but says a frontier-only six-month pause would surrender America’s decisive chip advantage while China advances elsewhere.A government halt could signal crash risk, whereas a lab-led reliability pause might remove political tail risk; watch executive action, the 2028 primaries, and Taiwan’s unresolved threat to AGI end-games.

All-InEN · 47 min

Jensen Huang: The Doomer Hoax, Superintelligence is Here, and The Future of AI (ft. President Trump)

Jensen HuangPresident Trump

Jensen Huang cites failed forecasts on radiology, AI-generated code and entry-level jobs to challenge doomsday narratives, while arguing that AI incidents so far call for root-cause engineering and independent evaluation rather than sweeping regulation.With 80% of AI-native companies receiving $400 billion in recent venture funding using open models, NVIDIA is building infrastructure bottlenecks as Jensen predicts China will reach advanced lithography by 2030, leaving commercialization, lab controls and data-center execution to monitor.