Startup Raises $180M to Build AI That Needs 1000x Less Training Data Than OpenAI Models
Summary
Flapping Airplanes secures $180 million in seed funding to develop revolutionary AI systems inspired by human brain algorithms that require 1000 times less training data than current OpenAI and DeepMind models, potentially unlocking breakthrough applications in robotics and scientific discovery.
Key Points
- Flapping Airplanes raises $180 million in seed funding to develop AI systems that require significantly less training data than current models like those from OpenAI and DeepMind
- The startup takes inspiration from human brain algorithms to create more data-efficient AI, aiming for 1000x improvements in data efficiency rather than incremental changes
- Co-founders Ben Spector, Asher Spector, and Aidan Smith focus on hiring young, creative researchers to pursue radically different approaches that could unlock new applications in robotics and scientific discovery