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Founder's Journal

How to Become a Marketing Master (Noah Kagan, Appsumo & Million Dollar Weekend)

Resumo de IA The "Growth Machine" framework provides a repeatable marketing playbook centered on defining specific, measurable goals and systematically testing channels to identify high-leverage opportunities. By prioritizing organic growth and doubling down on successful strategies—such as…

  • Founder's Journal
  • AppSumo
  • Million Dollar Weekend

42 minEnglishResumo · Transcrição

Founder's Journal

How to Crush an Investor Update ft. Sam Corcos

Resumo de IA Investor updates serve as a powerful tool for transparency, accountability, and recruiting when executed with radical honesty. Sam Corcos, CEO of the health tech company Levels, advocates for making these updates public to build trust and provide an accurate, unfiltered view of…

  • Founder's Journal
  • Morning Brew
  • Levels

17 minEnglishResumo · Transcrição

Founder's Journal

What I’m Doing Differently as a 2nd Time Founder

Resumo de IA Second-time founders face unique challenges that require shifting from ego-driven management to intentional, lean operations. Ankur Nagpal, founder of Carry and former CEO of Teachable, emphasizes the necessity of maintaining small, high-impact teams by utilizing contractors and…

  • Founder's Journal
  • Morning Brew
  • Solo 401k

27 minEnglishResumo · Transcrição

Founder's Journal

How to Optimize Taxes as an Entrepreneur

Resumo de IA Business ownership offers substantial tax advantages that employees cannot access, making it a foundational strategy for wealth preservation. Entrepreneurs can leverage the 20% Qualified Business Income (QBI) deduction and bypass state tax deduction caps by flowing income…

  • QBI Deduction
  • Solo 401k
  • S-Corp

19 minEnglishResumo · Transcrição

Founder's Journal

17 Startup Principles by Sam Altman

Resumo de IA Sam Altman’s 17 startup principles provide a blueprint for building successful businesses, emphasizing the necessity of optimism, obsession, and raw horsepower during the early stages. Long-term success requires a combination of short-term impatience—to maintain compounding…

  • Sam Altman
  • What I Wish Someone Had Told Me
  • Y Combinator

18 minEnglishResumo · Transcrição

Huberman Lab

Essentials: How Emotions & Social Factors Impact Learning | Dr. Mary Helen Immordino-Yang

Resumo de IA Human consciousness and learning emerge from the integration of high-level cognitive narratives with fundamental biological survival systems. Emotions serve as the primary drivers of thought, acting as a substrate for how individuals construct meaning and a sense of self.…

  • Antonio Damasio
  • Jean Piaget
  • Shinobu Kitayama

39 minEnglishResumo · Transcrição

Mais episódios novos

Todas Inglês Chinês
  1. [State of AI Startups] Memory/Learning, RL Envs & DBT-Fivetran — Sarah Catanzaro, Amplify

    Latent Space: The AI Engineer Podcast

    Resumo29 min
  2. [State of RL/Reasoning] IMO/IOI Gold, OpenAI o3/GPT-5, and Cursor Composer — Ashvin Nair, Cursor

    Latent Space: The AI Engineer Podcast

    Resumo45 min
  3. AI Boom or Bust? – #122

    Manifold

    Resumo40 min
  4. [State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI

    Latent Space: The AI Engineer Podcast

    Resumo28 min
  5. [State of Code Evals] After SWE-bench, Code Clash & SOTA Coding Benchmarks recap — John Yang

    Latent Space: The AI Engineer Podcast

    Resumo18 min
  6. Artificial Analysis: Independent LLM Evals as a Service — with George Cameron and Micah-Hill Smith

    Latent Space: The AI Engineer Podcast

    Resumo1 h 18 min
  7. [State of Evals] LMArena's $1.7B Vision — Anastasios Angelopoulos, LMArena

    Latent Space: The AI Engineer Podcast

    Resumo24 min
  8. Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah-Hill Smith

    Latent Space: The AI Engineer Podcast

    Resumo1 h 18 min
  9. [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

    Latent Space: The AI Engineer Podcast

    Resumo28 min
  10. Brex’s AI Hail Mary — With CTO James Reggio

    Latent Space: The AI Engineer Podcast

    Resumo1 h 13 min
  11. Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith

    Latent Space: The AI Engineer Podcast

    Resumo1 h 18 min
  12. Brex’s AI Hail Mary — With CTO James Reggio

    Latent Space: The AI Engineer Podcast

    Resumo1 h 13 min
  13. Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay 2

    Latent Space: The AI Engineer Podcast

    Resumo1 h 32 min
  14. Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay

    Latent Space: The AI Engineer Podcast

    Resumo1 h 32 min
  15. 🔬 Automating Science: World Models, Scientific Taste, Agent Loops — Andrew White

    Latent Space: The AI Engineer Podcast

    Resumo1 h 14 min
  16. ⚡️ Prism: OpenAI's LaTeX "Cursor for Scientists" — Kevin Weil & Victor Powell, OpenAI for Science

    Latent Space: The AI Engineer Podcast

    Resumo36 min
  17. 🔬 Automating Science: World Models, Scientific Taste, Agent Loops — Andrew White

    Latent Space: The AI Engineer Podcast

    Resumo1 h 14 min
  18. The First Mechanistic Interpretability Frontier Lab — Myra Deng & Mark Bissell of Goodfire AI

    Latent Space: The AI Engineer Podcast

    Resumo1 h 8 min
  19. 🔬Beyond AlphaFold: How Boltz is Open-Sourcing the Future of Drug Discovery

    Latent Space: The AI Engineer Podcast

    Resumo1 h 21 min
  20. Owning the AI Pareto Frontier — Jeff Dean

    Latent Space: The AI Engineer Podcast

    Resumo1 h 24 min
  21. Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis

    Latent Space: The AI Engineer Podcast

    Resumo2 h 4 min
  22. Bitter Lessons in Venture vs Growth: Anthropic vs OpenAI, Noam Shazeer, World Labs, Thinking Machines, Cursor, ASIC Economics — Martin Casado & Sarah Wang of a16z

    Latent Space: The AI Engineer Podcast

    Resumo55 min
  23. METR’s Joel Becker on exponential Time Horizon Evals, Threat Models, and the Limits of AI Productivity

    Latent Space: The AI Engineer Podcast

    Resumo56 min
  24. ⚡️The End of SWE-Bench Verified — Mia Glaese & Olivia Watkins, OpenAI Frontier Evals & Human Data

    Latent Space: The AI Engineer Podcast

    Resumo26 min
  25. [LIVE] Anthropic Distillation & How Models Cheat (SWE-Bench Dead) | Nathan Lambert & Sebastian Raschka

    Latent Space: The AI Engineer Podcast

    Resumo52 min
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