#54: The Human Data Engine Training Smarter AI Models | Micro1 CEO
Ali Ansari is the founder and CEO of Micro1, the human data engine helping AI labs train foundational models and enterprises build better AI agents. With more than 5M people screened, Micro1 provides expert data, frontier evaluations, reinforcement learning environments, and contextual agent evaluations for the next generation of AI systems.
In this episode with Derek Andersen, Ali explains how large language models actually learn, why human judgment still drives AI progress, and why real-world company data may become one of the most valuable assets in the AI economy. He breaks down long-horizon tasks, compounding errors, post-training, AI agents, and the “infinite last mile” of intelligence.
Ali also shares what it feels like to build at the center of the San Francisco AI boom, why AI will create new categories of high-value jobs, and how his journey from immigrating to the U.S. from Iran to building Micro1 shaped his founder mindset. This is a conversation about AI, human expertise, and embracing the chaos of a once-in-a-generation technology wave.
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Episode Partners:
Google for Startups
Grab the new Google for Startups Future of AI report at https://goo.gle/futureofgenmedia
Timestamps:
01:32 — Building Micro1 in the Center of the AI Boom
06:57 — A Once-in-a-Lifetime AI Opportunity
08:44 — How Micro1 Helps Train Smarter AI Models
10:43 — Why AI Models Never Stop Learning
14:56 — Why AI Still Needs Human Experts
17:49 — The Model Is Not the Product
21:23 — Who Wins and Loses in the AI Era
27:25 — When AI Agents Become Team Members
29:19 — The Talent War for AI Researchers
33:38 — Why Your Company Data Is Training AI
38:35 — From Iran to the American Dream
44:33 — Why Taking a Unique Path Can Win
48:04 — Embrace the Chaos
49:50 — Why AI Will Create New Jobs
53:02 — How Ali Measures His Life
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