Flapping Airplanes raised 180 million dollars from GV and Sequoia at a 1.5 billion dollar valuation...
The AMW Read
The article introduces a high-profile researcher move (Jerry Tworek) and signals a potential paradigm shift in scaling laws via data efficiency, impacting both foundation models and robotics.
NoveltySignificance
Foundation Models · Player MapScaling LawsTalent Dynamics
Flapping Airplanes raised 180 million dollars from GV and Sequoia at a 1.5 billion dollar valuation to rewrite AI scaling laws. Former OpenAI researcher Jerry Tworek is seeking up to 1 billion dollars for Core Automation to build models 100 times more data-efficient. This signals a systemic move from massive data scraping to human-like learning architectures. Such efficiency is vital for the next wave of continuous learning in robotics and industrial automation. 🧠
