Continual learning in this channel’s material Within the captured material for this channel, continual learning appears as a term of interest in a discussion about training language models — specifically a conversation exploring how games, including a game of Diplomacy that seeded a $3.6 million AI startup, serve as rich environments for both evaluating and training language models [^01a0f15a-d881-7a49-9531-148c764e2dcd@0] [^01a0f15a-d881-7a49-9531-148c764e2dcd@935]. What to keep in mind The captured evidence for this term is limited. Treat the definition above as the channel-level framing, and explore the related discussion for the surrounding context in which the term is raised — game environments as settings where models are tested and improved over time. - Continual learning is the idea of a model improving or adapting over time rather than remaining fixed after initial training. - In this channel, the term is contextualized by a conversation about games as training and evaluation environments for language models. - The captured usage is sparse; the surrounding discussion — not an extended treatment — is where the term appears.