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The Peel with Turner Novak

The COO Playbook | Emilie Choi, Coinbase

AI 要約 Scaling startups requires implementing structured decision-making frameworks like RAPID—Recommend, Agree, Perform, Input, Decide—from the outset to avoid bottlenecks during rapid growth. Coinbase maintains operational efficiency by prioritizing "talent density," requiring clear,…

  • RAPID
  • DRI
  • Agentic Finance

01:30:01English要約 · 文字起こし

Decoder with Nilay Patel

Jensen Huang is out. What did China want from him?

AI 要約 The resignation of Nvidia CEO Jensen Huang amid a scandal involving an alleged Chinese spy and the firm Megaspeed highlights deep vulnerabilities in the US-China AI power struggle. This situation raises critical questions about whether Chinese intelligence sought to influence US…

  • Nvidia
  • Jensen Huang
  • CUDA

42 minEnglish要約 · 文字起こし

Squawk on the Street

SOTS 2nd Hour: Bill Ackman LIVE, Another Semis Surge, & Today's Earnings To Watch 4/29/26

AI 要約 Pershing Square CEO Bill Ackman launched Pershing Square USA, a closed-end fund designed to democratize access to his firm’s investment strategy for retail investors. This debut coincides with significant market developments, including the Senate Banking Committee’s advancement…

  • Closed-end fund
  • IPO
  • REIT

00:43:37English要約 · 文字起こし

Squawk Pod

Election Day with Bill Ackman & Rahm Emanuel 11/3/26

AI 要約 Election Day 2026 marks a pivotal moment for the balance of power in Congress, with Democrats aiming to retake the House and potentially the Senate. Rahm Emanuel emphasizes that regardless of the immediate electoral outcome, the party’s success in 2027 hinges on delivering…

  • Midterm Elections
  • Pershing Square
  • Fannie Mae and Freddie Mac

00:50:03English要約 · 文字起こし

Macro Voices

MacroVoices #558 Mike Alkin: Uranium at a Crossroads

AI 要約 Uranium faces a severe structural supply-demand deficit, independent of the artificial intelligence and data center boom. Despite the market's tendency to bundle nuclear energy with AI-related capital expenditure, the fundamental reality remains a persistent shortage of…

  • Uranium
  • Capex
  • Hyperscalers

1 h 5 minEnglish要約 · 文字起こし

At Any Rate

EM Fixed Income: EM stays sturdy as the hawkish stars align

AI 要約 Emerging market (EM) fixed income assets demonstrate notable resilience despite significant volatility in equity markets and a hawkish shift in Federal Reserve policy. While rising U.S. real yields and persistent inflation expectations pressure global markets, declining energy…

  • Fed (Federal Reserve)
  • Emerging Markets (EM)
  • Hawkish

20 minEnglish要約 · 文字起こし

さらに新しいエピソード

すべて 英語 中国語
  1. 🔬 The Self-Driving Lab — Joseph Krause, Radical AI

    Latent Space: The AI Engineer Podcast

    要約1 h 17 min
  2. The Professor of Outputmaxxing — Anjney Midha, AMP

    Latent Space: The AI Engineer Podcast

    要約59 min
  3. Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan

    Latent Space: The AI Engineer Podcast

    要約1 h 6 min
  4. 🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI

    Latent Space: The AI Engineer Podcast

    要約1 h 49 min
  5. Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks

    Latent Space: The AI Engineer Podcast

    要約1 h 9 min
  6. AI Round-up: Karpathy Reactions, OpenAI’s Dealmaking, & Bubble Reality Check

    Unsupervised Learning: With Jacob Effron

    要約1 h 17 min
  7. 🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences

    Latent Space: The AI Engineer Podcast

    要約1 h 41 min
  8. 🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)

    Latent Space: The AI Engineer Podcast

    要約1 h 30 min
  9. China Expert: AI Race, Key Policy Decisions & Unpacking Geopolitical Chip Tension

    Unsupervised Learning: With Jacob Effron

    要約1 h 10 min
  10. 🔬The BioAI Phase Shift - Matthew McPartlon & Neil Patil, Chai Discovery

    Latent Space: The AI Engineer Podcast

    要約1 h 35 min
  11. Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI

    Latent Space: The AI Engineer Podcast

    要約1 h 9 min
  12. Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI

    Latent Space: The AI Engineer Podcast

    要約2 h 21 min
  13. Simulation: the new Scaling Law — Joon Sung Park, Simile AI

    Latent Space: The AI Engineer Podcast

    要約1 h 10 min
  14. 🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

    Latent Space: The AI Engineer Podcast

    要約1 h 24 min
  15. 🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science

    Latent Space: The AI Engineer Podcast

    要約2 h 1 min
  16. Edwin Chen: Why Frontier Labs Are Diverging, RL Environments & Developing Model Taste

    Unsupervised Learning: With Jacob Effron

    要約48 min
  17. Runway’s WorldPrompt and the Engineering of Real-Time Worlds

    Latent Space: The AI Engineer Podcast

    要約1 h 36 min
  18. 🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)

    Latent Space: The AI Engineer Podcast

    要約1 h 32 min
  19. AI Vibe Check: The Actual Bottleneck In Research, SSI’s Mystique, & Spicy 2026 Predictions

    Unsupervised Learning: With Jacob Effron

    要約1 h 18 min
  20. Claude Code’s Next Era — Thariq Shihipar, Anthropic

    Latent Space: The AI Engineer Podcast

    要約1 h 32 min
  21. Academia is for Ambition — Alex Zhang, MIT

    Latent Space: The AI Engineer Podcast

    要約1 h 41 min
  22. Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week

    Latent Space: The AI Engineer Podcast

    要約39 min
  23. Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk

    Latent Space: The AI Engineer Podcast

    要約1 h 24 min
  24. The Most Unexpected Breakout Category in AI

    Unsupervised Learning: With Jacob Effron

    要約55 min
  25. Owning the System of Record, Building as Models Improve, & Why ITSM is Vulnerable

    Unsupervised Learning: With Jacob Effron

    要約54 min
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