Definition
Data Collection (Local AI)
A curated subset of a user's files — PDFs, documents, images, voice memos — that is analyzed once by a local AI system and made queryable without any cloud access. The unit of organization for privacy-first AI interaction with personal or proprietary data.
From the episode “AI Is Quietly Stealing Your Life's Work”Hear it on the podcast1 episode
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Related terms in AI Fundamentals
Context HallucinationA hallucination that occurs not from false information, but from failure to account for relationships between documents, where one document modifies, contradicts, or conditionally applies to another.Context windowHow much input, such as text, documents, or conversation history, an AI model can take into account at one time.Contrastive learningA training technique where a model learns by comparing similar and dissimilar examples, figuring out what makes things alike or different.Data augmentationExpanding a training dataset by creating modified copies of existing data, like flipped images or reworded sentences, instead of collecting new data.Data labelingTagging documents so a model learns what matters in them.Data poisoningAn attack where someone slips corrupted, altered, or mislabeled examples into a model's training data to make it behave badly or carry a hidden backdoor.Dead Internet TheoryThe concept that AI-generated content is increasingly training on other AI-generated content, creating a feedback loop of degraded and homogenized information. Kaelan references it as the backdrop for why original, experience-grounded content increasingly wins.Decision treeA model that makes predictions by asking a series of yes-or-no questions about the data, branching at each step until it reaches an answer.