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20VC: Scale, Surge, Turing, Mercor: Who Wins & Who Loses in Data Labelling | Is Revenue in Data Labelling Real or GMV? | Why 99% of Knowledge Work Will Go and What Happens Then? | Why SaaS is Dead in a World of AI with Jonathan Siddharth @ Turing

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Manage episode 522082146 series 73567
Content provided by The Twenty Minute VC and Harry Stebbings. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Twenty Minute VC and Harry Stebbings or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Jonathan Siddharth is Founder and CEO of Turing, one of the fastest-growing AI companies advancing frontier models. Jonathan has led the company to an astonishing $300M ARR with just $225M raised and a profitable company. A Stanford-trained AI scientist, Jonathan previously helped pioneer natural language search at Powerset, which was acquired by Microsoft.

AGENDA:

03:35 Data, Compute, Algorithms: What is Most Abundant? What is Lacking Most?

09:18 What Does No One Know About AI's Data Requirements That Everyone Should?

17:05 The Biggest Challenges Enterprises Have with AI Adoption

20:38 Why Will 99% of Knowledge Work Will be Gone in 10 Years

27:12 How Will Data-Driven Feedback Loops Replace Technology as the Moat

36:08 Who Wins the Data Labelling Market? Who Loses?

38:23 Is Revenue BS in Data Labelling? Are Players Calling GMV Revenue?

45:20 Why is SaaS Dead in a World of AI?

51:23 Will the Phone be the Primary User Interface to an AI World?

57:07 Quickfire Round

  continue reading

1394 episodes

Artwork
iconShare
 
Manage episode 522082146 series 73567
Content provided by The Twenty Minute VC and Harry Stebbings. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Twenty Minute VC and Harry Stebbings or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Jonathan Siddharth is Founder and CEO of Turing, one of the fastest-growing AI companies advancing frontier models. Jonathan has led the company to an astonishing $300M ARR with just $225M raised and a profitable company. A Stanford-trained AI scientist, Jonathan previously helped pioneer natural language search at Powerset, which was acquired by Microsoft.

AGENDA:

03:35 Data, Compute, Algorithms: What is Most Abundant? What is Lacking Most?

09:18 What Does No One Know About AI's Data Requirements That Everyone Should?

17:05 The Biggest Challenges Enterprises Have with AI Adoption

20:38 Why Will 99% of Knowledge Work Will be Gone in 10 Years

27:12 How Will Data-Driven Feedback Loops Replace Technology as the Moat

36:08 Who Wins the Data Labelling Market? Who Loses?

38:23 Is Revenue BS in Data Labelling? Are Players Calling GMV Revenue?

45:20 Why is SaaS Dead in a World of AI?

51:23 Will the Phone be the Primary User Interface to an AI World?

57:07 Quickfire Round

  continue reading

1394 episodes

All episodes

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