Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin
ReflectionAI co-founder and CEO Misha Laskin joins Sarah Guo and Elad Gil to discuss the launch of Beam, a 500-billion-parameter open-weight reasoning model. Laskin outlines why open models will capture the vast majority of enterprise token demand through an 'ownership' rather than 'rental' compute model, the technical requirements of scaling reinforcement learning, and how open source AI is critical for cybersecurity and geopolitical resilience.
- ReflectionAI trained Beam, a 500-billion-parameter model with 23 billion active parameters, spending more FLOPs on reinforcement learning than on pre-training. Read →
- Elad Gil views Chinese open-source AI as a direct subsidy to Western enterprises, giving builders frontier intelligence without paying the research bills. Read →
- When enterprise spending on closed-model APIs crosses $100 million annually, the economic math flips from renting proprietary tokens to running private, owned infrastructure. Read →
- ReflectionAI launched Beam, a 500-billion-parameter open-weight reasoning model, targeting an ownership rather than rental compute model for enterprises. Read →
- ReflectionAI released Beam, a 500-billion-parameter open-weight reasoning model built on the belief that open architectures beat closed safety moats. Read →