Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

Is the future of frontier AI open or closed? ReflectionAI co-founder and CEO Misha Laskin joins Sarah Guo and Elad Gil to discuss the launch of Beam, the company’s 500 billion parameter open-weight reasoning model. Misha breaks down the pre-training and reinforcement learning required to produce Beam’s reasoning efficiency, the shift in enterprise compute from renting to owning intelligence, and how he believes that open models will capture the majority of global token demand. He also talks about the open model ecosystem in China and why competition with China’s models is a good thing, safety considerations around open models, and how frontier-level open models may accelerate the pace of scientific discovery.  

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Chapters:

00:42 – Misha Laskin Introduction

00:59 – Latest with ReflectionAI

02:07 – Challenges Building an Open Model

03:56 – ReflectionAI’s Agentic Shift

07:37 – Resources for Model Training

10:09 – Scaling Efficiency

12:18 – Training Beam

16:51 – Where Model Value Comes From