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No Priors: Artificial Intelligence | Technology | Startups - Building Hard Tech in Hard Markets: Kyle Vogt on Cruise, Twitch, and The Bot Company

Building Hard Tech in Hard Markets: Kyle Vogt on Cruise, Twitch, and The Bot Company

02/20/25 • 38 min

1 Listener

No Priors: Artificial Intelligence | Technology | Startups

Kyle Vogt joins Sarah and Elad on this week’s episode of No Priors. A serial entrepreneur, Kyle co-founded Twitch, transforming live streaming, and later Cruise, the autonomous vehicle company acquired by GM for $1 billion. Now he’s taking on AI-powered home robotics with The Bot Company. In this episode, Kyle shares his journey building transformative tech companies, the challenges of scaling autonomous systems, and why he believes home robots are the next frontier. They also discuss the parallels between AVs and robotics, overcoming consumer skepticism, US vs. China manufacturing, and the policies needed to foster a competitive robotics industry.

Sign up for new podcasts every week. Email feedback to [email protected]

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @KVogt

Show Notes:

0:00 Introduction

0:29 Founding Cruise

3:12 Tesla vs. Waymo approach

4:44 Scaling autonomous vehicles

10:03 The Bot Company

16:35 Deploying robots in the home

17:56 Parallels between robots and AV markets

20:51 Personifying robots and overcoming consumer skepticism

25:00 Timeline on consumer robots

26:47 Chinese vs. US manufacturing

29:15 Fostering a competitive domestic robotics industry

34:00 Lessons from Cruise & personal philosophies

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Kyle Vogt joins Sarah and Elad on this week’s episode of No Priors. A serial entrepreneur, Kyle co-founded Twitch, transforming live streaming, and later Cruise, the autonomous vehicle company acquired by GM for $1 billion. Now he’s taking on AI-powered home robotics with The Bot Company. In this episode, Kyle shares his journey building transformative tech companies, the challenges of scaling autonomous systems, and why he believes home robots are the next frontier. They also discuss the parallels between AVs and robotics, overcoming consumer skepticism, US vs. China manufacturing, and the policies needed to foster a competitive robotics industry.

Sign up for new podcasts every week. Email feedback to [email protected]

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @KVogt

Show Notes:

0:00 Introduction

0:29 Founding Cruise

3:12 Tesla vs. Waymo approach

4:44 Scaling autonomous vehicles

10:03 The Bot Company

16:35 Deploying robots in the home

17:56 Parallels between robots and AV markets

20:51 Personifying robots and overcoming consumer skepticism

25:00 Timeline on consumer robots

26:47 Chinese vs. US manufacturing

29:15 Fostering a competitive domestic robotics industry

34:00 Lessons from Cruise & personal philosophies

Previous Episode

undefined - How Harvey AI is Changing the Legal Industry with Winston Weinberg

How Harvey AI is Changing the Legal Industry with Winston Weinberg

This week on No Priors, Sarah sits down with Harvey cofounder and CEO Winston Weinberg. Harvey is one of the leading application layer AI companies, building domain-specific AI for law firms, professional service providers, and the Fortune 500. They are already working with companies like Bridgewater, KKR, PWC, and O’Melveny with over $500M in funding from OpenAI, Sequoia, Kleiner, GV and Elad and Sarah. In this episode, Sarah and Winston cover AI product strategy, the future of professional services, company values, keeping up with research, and the law industry of the future.

Sign up for new podcasts every week. Email feedback to [email protected]

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @WinstonWeinberg

Show Notes:

0:00 Introduction

2:39 Harvey’s founding story

3:46 Capability improvement

6:39 Building teams around AI capabilities

9:17 End to end task completion

12:37 Beginning with large industry leaders

17:21 Working with users skeptical of automation

20:40 Being a lawyer today and in the future

26:02 Adapting product for other domains

26:58 Hiring philosophy at Harvey

30:39 Lessons and mistakes as a founder

32:53 Personal drive

40:21 Advice to other founders

44:35 Prediction for next ChatGPT moment

Next Episode

undefined - Virtual Cell Models, Tahoe-100 and Data for AI-in-Bio with Vevo Therapeutics and the Arc Institute

Virtual Cell Models, Tahoe-100 and Data for AI-in-Bio with Vevo Therapeutics and the Arc Institute

On this week’s episode of No Priors, Sarah Guo is joined by leading members of the teams at Vevo Therapeutics and the Arc Institute – Nima Alidoust, CEO/Co-Founder at Vevo Therapeutics; Johnny Yu, CSO/Co-Founder at Vevo Therapeutics; Patrick Hsu, CEO/Co-Founder at Arc Institute; Dave Burke, CTO at Arc Institute; and Hani Goodarzi, Core Investigator at Arc Institute. Predicting protein structure (AlphaFold 3, Chai-1, Evo 2) was a big AI/biology breakthrough. The next big leap is modeling entire human cells—how they behave in disease, or how they respond to new therapeutics. The same way LLMs needed enormous text corpora to become truly powerful, Virtual Cell Models need massive, high-quality cellular datasets to train on. In this episode, the teams discuss the groundbreaking release of the Tahoe-100M single cell dataset, Arc Atlas, and how these advancements could transform drug discovery.

Sign up for new podcasts every week. Email feedback to [email protected]

Follow us on Twitter: @NoPriorsPod | @Saranormous | @Nalidoust | @IAmJohnnyYu | @PDHsh | @Davey_Burke | @Genophoria

Download the Tahoe Dataset

Show Notes:

0:00 Introduction

1:40 Significance of Tahoe-100M dataset

4:22 Where we are with virtual cell models and protein language models

10:26 Significance of perturbational data

17:39 Challenges and innovations in data collection

24:42 Open sourcing and community collaboration

33:51 Predictive ability and importance of virtual cell models

35:27 Drug discovery and virtual cell models

44:27 Platform vs. single hypothesis companies

46:05 Rise of Chinese biotechs

51:36 AI in drug discovery

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