Sep 24, 2025
How do we get from today’s AI copilots to true
human-level intelligence? In this episode of Eye on AI, Craig Smith
sits down with Eiso Kant, Co-Founder of Poolside, to explore why
reinforcement learning + software development might be the fastest
path to human-level AI.
Eiso shares Poolside’s mission to build AI that doesn’t just
autocomplete code — but learns like a real developer. You’ll hear
how Poolside uses reinforcement learning from code execution
(RLCF), why software development is the perfect training ground for
intelligence, and how agentic AI systems are about to transform the
way we build and ship software.
If you want to understand the future of AI, software engineering,
and AGI, this conversation is packed with insights you won’t want
to miss.
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(00:00) The Missing Ingredient for Human-Level
AI
(01:02)
Eiso Kant’s Journey
(05:30)
Using Software Development to Reach AGI
(07:48)
Why Coding Is the Perfect Training Ground for
Intelligence
(10:11)
Reinforcement Learning from Code Execution (RLCF)
Explained
(13:14)
How Poolside Builds and Trains Its Foundation
Models
(17:35)
The Rise of Agentic AI
(21:08)
Making Software Creation Accessible to
Everyone
(26:03)
Overcoming Model Limitations
(32:08)
Training Models to Think
(37:24)
Building the Future of AI Agents
(42:11)
Poolside’s Full-Stack Approach to AI
Deployment
(46:28)
Enterprise Partnerships, Security & Customization Behind the
Firewall
(50:48)
Giving Enterprises Transparency to Drive Adoption