SaaSpocalypse Revisited, Singer x Louis Vuitton, Aman vs Ryan Walker | Igor Babuschkin, Brannin McBee, Garret Langley, Sonya Huang, Sean Cole
TBPN13 Aug

SaaSpocalypse Revisited, Singer x Louis Vuitton, Aman vs Ryan Walker | Igor Babuschkin, Brannin McBee, Garret Langley, Sonya Huang, Sean Cole

  • (00:37) - SaaSpocalypse Revisited
  • (13:46) - 𝕏 Timeline Reactions
  • (25:13) - Singer x Louis Vuitton
  • (33:33) - North Korea Infiltrates U.S Jobs
  • (39:06) - Aman vs Ryan Walker
  • (50:57) - 𝕏 Timeline Reactions
  • (54:49) - Igor Babuschkin discusses his journey from physicist to AI researcher at DeepMind and OpenAI, co-founder of xAI, and founder of River AI. He outlines River AI’s vision for personalized, user-owned models while exploring video games as AI benchmarks, real-world reinforcement learning, specialized models, GPU demand, and custom inference chips.
  • (01:11:33) - Brannin McBee discusses CoreWeave’s strong second-quarter performance and his role as the AI infrastructure company’s co-founder. He highlights financing, data-center capacity, hardware longevity, global expansion, and CoreWeave’s ability to meet rapidly growing demand for AI computing.
  • (01:26:34) - Garrett Langley discusses Flock Safety’s new privacy and accountability measures, including mandatory audit-log reviews and shorter data-retention recommendations. The founder and CEO addresses surveillance concerns, police misuse, regulatory challenges, and the need to balance public safety with privacy and community trust.
  • (01:45:08) - Sonya Huang, a general partner at Sequoia Capital, discusses the unprecedented growth of AI companies and the democratization of model development across startups. She argues that application companies should increasingly own and customize their AI intelligence, while emphasizing that small internal teams can use maturing post-training tools and specialized partners to build competitive models.
  • (01:58:01) - Sean Cole discusses Parasma’s work training lab-grown human neurons for computing tasks, including basic token prediction. He highlights biological computing’s potential advantages in energy efficiency, rapid learning, and continual adaptation, while outlining plans to automate the company’s lab and generate near-term revenue through applications such as drug testing.
  • (02:06:06) - 𝕏 Timeline Reactions


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