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
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
Harry Stebbings interviews Jonathan Siddharth, the Founder and CEO of Turing, about the evolving landscape of data labeling, the shift towards AI-driven research acceleration, and the automation of knowledge work. Jonathan discusses how Turing is training superintelligence by creating RL environments for various industries, functions, and roles, enabling AI agents to perform complex tasks. He also touches on the importance of custom models for enterprises, the potential for AI to automate knowledge work, and the future of SaaS in an AI-dominated world. The conversation explores the challenges and opportunities in AI, including data acquisition, revenue concentration, and the role of governments in AI development, as well as the potential for AI to drive productivity and innovation across industries.
Part 1: AI Evolution and Data Landscape
Part 2: AI Adoption and Automation
Part 3: Moats, Competition, and AI Bubble
Part 4: Future of Software and Data Provisioning
Part 5: Quick-Fire Round and Final Thoughts
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