World Model · podcast knowledge graph

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

2025-12-01 · 68 min · 15 entities

episode page audio

Asserted relationships

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    evidence rules-v4
    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
  • → hosted by Harry Stebbings person
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    Feed author/publisher: Harry Stebbings
  • → works at Turing company
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    CEO of Turing
  • → works at Turing company
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    evidence rules-v4
    CEO of Turing
  • → discusses Business concept
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    Feed category: Business
  • → discusses Investing concept
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    Feed category: Investing
  • → discusses News concept
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    Feed category: News
  • → discusses Tech News concept
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    evidence rules-v4
    Feed category: Tech News

Entities found in this episode

concepts 8

  • mentioned Business concept
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    evidence rules-v4
    Feed category: Business
  • mentioned Investing concept
    0.50
    evidence rules-v4
    Feed category: Investing
  • mentioned Tech News concept
    0.50
    evidence rules-v4
    Feed category: Tech News
  • discusses Business concept
    0.40
    evidence rules-v4
    Feed category: Business
  • discusses Investing concept
    0.40
    evidence rules-v4
    Feed category: Investing
  • discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News
  • mentioned GMV concept
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    evidence rules-v4
    GMV

persons 3

  • mentioned Jonathan Siddharth person
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    evidence rules-v4
    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
  • mentioned Harry Stebbings person
    0.70
    evidence rules-v4
    Feed author/publisher: Harry Stebbings
  • hosted by Harry Stebbings person
    0.55
    evidence rules-v4
    Feed author/publisher: Harry Stebbings

companys 3

  • mentioned Turing company
    0.62
    evidence rules-v4
    CEO of Turing
  • works at Turing company
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    evidence rules-v4
    CEO of Turing
  • works at Turing company
    0.50
    evidence rules-v4
    CEO of Turing

podcasts 1

Episode description as stored
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