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

<p dir="ltr">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.</p> <p dir="ltr"><span style= "text-decoration: underline;"><strong>AGENDA:</strong></span></p> <p dir="ltr">03:35 Data, Compute, Algorithms: What is Most Abundant? What is Lacking Most?</p> <p dir="ltr">09:18 What Does No One Know About AI's Data Requirements That Everyone Should?</p> <p dir="ltr">17:05 The Biggest Challenges Enterprises Have with AI Adoption</p> <p dir="ltr">20:38 Why Will 99% of Knowledge Work Will be Gone in 10 Years</p> <p dir="ltr">27:12 How Will Data-Driven Feedback Loops Replace Technology as the Moat</p> <p dir="ltr">36:08 Who Wins the Data Labelling Market? Who Loses?</p> <p dir="ltr">38:23 Is...