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No Priors Ep. 70 | With Cartesia Co-Founders Karan Goel & Albert Gu

This week on No Priors, Sarah Guo and Elad Gil sit down with Karan Goel and Albert Gu from Cartesia. Karan and Albert first met as Stanford AI Lab PhDs, where their lab invented Space Models or SSMs, a fundamental new primitive for training large-scale foundation models. In 2023, they Founded Cartesia to build real-time intelligence for every device. One year later, Cartesia released Sonic which generates high quality and lifelike speech with a model latency of 135ms—the fastest for a model of this class. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @krandiash | @_albertgu Show Notes: 0:00 Introduction 0:28 Use Cases for Cartesia and Sonic 1:32 Karan Goel & Albert Gu’s professional backgrounds 5:06 State Space Models (SSMs) versus Transformer Based Architectures 11:51 Domain Applications for Hybrid Approaches 13:10 Text to Speech and Voice 17:29 Data, Size of Models and Efficiency 20:34 Recent Launch of Text to Speech Product 25:01 Multi-modality & Building Blocks 25:54 What’s Next at Cartesia? 28:28 Latency in Text to Speech 29:30 Choosing Research Problems Based on Aesthetic 31:23 Product Demo 32:48 Cartesia Team & Hiring

Sarah GuohostAlbert GuguestKaran GoelguestElad Gilhost
Jun 27, 202434mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 0:28

    Introduction

  2. 0:28 – 1:32

    Use Cases for Cartesia and Sonic

  3. 1:32 – 5:06

    Karan Goel & Albert Gu’s professional backgrounds

  4. 5:06 – 11:51

    State Space Models (SSMs) versus Transformer Based Architectures

  5. 11:51 – 13:10

    Domain Applications for Hybrid Approaches

  6. 13:10 – 17:29

    Text to Speech and Voice

  7. 17:29 – 20:34

    Data, Size of Models and Efficiency

  8. 20:34 – 25:01

    Recent Launch of Text to Speech Product

  9. 25:01 – 25:54

    Multi-modality & Building Blocks

  10. 25:54 – 28:28

    What’s Next at Cartesia?

  11. 28:28 – 29:30

    Latency in Text to Speech

  12. 29:30 – 31:23

    Choosing Research Problems Based on Aesthetic

  13. 31:23 – 32:48

    Product Demo

  14. 32:48 – 34:08

    Cartesia Team & Hiring

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