BREAKING: AI has eaten the Internet. Data labeling is so over. & $30 trillion of human work is on the verge of automation.
Inside The $2.2B AI Research Accelerator, Turing
Founder & CEO, Jonathan Siddharth (
@jonsid), joins Sourcery to break down the severe power shift in AI training: from commodity data labeling → expert research
Positioning
@turingcom apart from AI data providers like Scale AI, Mercor, & Surge.
(00:00) AI Ate The Internet
(00:49) Training Superintelligence: the race to AGI
(02:31) Viral tweet
(03:24) What Turing actually does
(04:43) The internet data is “used up” — where will new data come from?
(05:34) Four pillars of superintelligence: multimodality, reasoning, tool use, coding
(06:07) Automating $30T of global knowledge work
(09:18) The $1B revenue opportunity
(10:59) Why Turing is a research-first accelerator, not a data labeler
(13:45) Jonathan’s Stanford AI Lab roots & founding DNA
(17:57) How models are built: pre-training vs. post-training
(20:14) RLHF, reinforcement learning, & “breaking the models”
(25:19) GPT-5 and the myth of rapid takeoff
(30:46) Safety debates and human-in-the-loop systems
(34:53) Closing Enterprise Gap: finance, insurance, & pharma
(39:23) Why proprietary enterprise data is the next moat in AI