Everyone’s talking about AI models. Few talk about the data that moves them forward.
In this episode of Decoding AI, Jonathan Siddharth, Founder & CEO, Turing, explains how Turing evolved from a global developer platform into a research accelerator, fueling the world’s top labs and enterprises with bespoke, interdisciplinary training data.
From RL gyms to post-training pipelines, Turing is engineering the human-in-the-loop systems that are quietly pushing us toward ASI.
Chapters
00:00 – Intro: The Future of Intelligence
01:11 – From Stanford to Rover: Jonathan’s Founder Journey
07:05 – The Idea Behind Turing
09:28 – Why Post-Training Is the Real Edge in AI
12:49 – How the World’s Smartest Humans Move Models Forward
19:10 – Inside Alan: Turing’s Data Engine & Talent Network
21:17 – How Enterprises Build Their AI Advantage
25:28 – The 100× Productivity Shift Ahead
29:59 – Closing Thoughts: The Future of Work & Intelligence
Follow Anand Daniel on LinkedIn: https://www.linkedin.com/in/ananddaniel/
Follow Jonathan on LinkedIn: https://www.linkedin.com/in/jonsid/
Follow SeedToScale on LinkedIn for more updates: linkedin.com/company/seedtoscale
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