Definition
Self-supervised learning
A training method where a model makes its own practice problems from raw data, like predicting a hidden word, so it needs no human labels.
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Related terms in AI Fundamentals
Responsible AIThe principles and practices for developing and deploying AI ethically and safely, including fairness, transparency, and accountability.RWKVAn attention-free, linear architecture Eugene co-created, now under the Linux Foundation, designed to lower inference cost.Scaling lawsPredictable relationships showing how model performance improves as you increase model size, training data, and compute.Searchable MemoryThe idea that your recorded thoughts, decisions, and emotional context can later be queried like a database.Semantic analysisWorking out the meaning of language by looking at how words, phrases, and context relate to each other.SentienceIn this episode's framing, the capacity for memory, causality, temporal understanding, and adaptive behavior, distinct from full consciousness.Sentience indicatorsCriteria researchers use to assess whether an AI might be conscious, associated with Patrick Butlin and colleagues.Shadow AIUnauthorized AI tools employees use without IT or security oversight — one of the fastest-growing compliance risks in 2026.