SaaSpocalypse Revisited, Singer x Louis Vuitton, Aman vs Ryan Walker | Igor Babuschkin, Brannin McBee, Garret Langley, Sonya Huang, Sean Cole
TBPN
Aug 13
SaaSpocalypse Revisited, Singer x Louis Vuitton, Aman vs Ryan Walker | Igor Babuschkin, Brannin McBee, Garret Langley, Sonya Huang, Sean Cole
SaaSpocalypse Revisited, Singer x Louis Vuitton, Aman vs Ryan Walker | Igor Babuschkin, Brannin McBee, Garret Langley, Sonya Huang, Sean Cole

TBPN
Aug 13
Unprocessed episode, you can be the first!
Shownote
Shownote
* (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
TBPN is made possible by:
Ramp - https://ramp.com
Public - https://public.com
Cisco - https://www.cisco.com
Console - https://www.console.com
CrowdStrike - https://www.crowdstrike.com
Figma - https://www.figma.com
MongoDB - https://www.mongodb.com
NYSE - https://www.nyse.com
Railway - https://railway.com
Shopify - https://www.shopify.com
Codex - http://openAI.com/codex
Follow TBPN:Â
https://TBPN.com
https://x.com/tbpn
https://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231
https://podcasts.apple.com/us/podcast/tbpn/id1772360235
https://www.youtube.com/@TBPNLive
Highlights
Highlights
Chapters
Chapters
Transcript
Transcript