Sequoia-Backed AI Lab Aims for Human-Like Learning, Not Web Scraping

A new AI research lab, Flapping Airplanes, has emerged with a $180 million seed funding round from prominent investors like Google Ventures, Sequoia, and Index Ventures. Its ambitious goal is to pioneer a fundamentally different path for AI: creating models that learn like humans, rather than through massive-scale internet scraping. The lab's founders argue that current AI, trained on vast datasets of online text and media, is reaching a plateau. They posit that the human brain's developmental learning process—starting with sensory experiences and building complex understanding over time—is 'the floor, not the ceiling' for artificial intelligence. Their research will focus on developmental learning, where AI systems learn through interaction and staged experiences, much like a child. This novel approach represents a significant bet against the prevailing 'bigger data' paradigm. If successful, it could lead to AI with more robust, common-sense reasoning, better adaptability, and a lea