AI Learns by Imitation and Self-Supervision

AI primarily functions by imitating labeled data, which serves as a piece of knowledge that helps it learn and perform tasks. Recent advancements enable AI to become more self-supervised, allowing it to derive its own labels without external assistance, such as extracting information from subtitles in videos. This method showcases a connection between different formats of media, akin to early image generation models like Dali that used alternative captions for training. Additionally, the integration of AI in healthcare, particularly in aiding medical professionals during surgeries, highlights the evolving role of AI as a co-pilot, streamlining their workflow rather than merely providing conversational support. The development of these capabilities promises rapid advancements and potential parallels in various industries.