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Code 2025

AGI: The Path Forward – Jason Warner & Eiso Kant, Poolside

Jason Warner , Eiso Kant , Poolside

Overview

Poolside is developing AI models from scratch, focusing on pairing next-token prediction with reinforcement learning to bridge the gap between models and human intelligence. Their second-generation model, Malibu agent, is designed for high-consequence code environments, demonstrating capabilities in code conversion, testing, and feature implementation. The company emphasizes building foundational intelligence and scaling it, with plans for public API access and integration with platforms like Amazon Bedrock.

Who should watch

Key takeaways

Notable quotes

Poolside exists to close the gap between models and human intelligence.
*We're working in high consequence code environments for the last year inside the government and the defense sector.*
*The world in the future has been built on top of intelligence and so be a great way to partner.*

Watch on YouTube →

Unofficial community note. Prefer the recording for nuance.