Does AI Memorize Its Training Data? (Why a Model Sometimes Spits Out Exactly What It Saw)
Does AI memorize its training data? Learn how models mostly generalize but sometimes store and repeat exact things they saw, and why that's a real risk.
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Can You Copy an AI? (Distillation, Teacher Models, and Why the Copy Isn't the Original)
Can you copy an AI? Learn what model distillation is, how teacher and student models work, and why the copy is never really the original.
Where Do Old AI Models Go When They're Replaced? (Checkpoints, Versions, and Deprecation)
What happens to old AI models when they're replaced? Learn what checkpoints and model versions are, and why every update feels like a different person.
Can an AI Look Inside Its Own Head? (Weights, Memory, and the Black Box)
Why can't AI explain its own reasoning? Learn the difference between weights and memory, and why every AI is a black box, even to the people who built it.
How AI Memory Works (Why ChatGPT Keeps Forgetting You)
How does ChatGPT actually remember things? What gets stored, what gets forgotten, and why every conversation starts from zero unless you tell it not to.
What's Going On With Vector? Refusals, Black Boxes, and a Glitching Night
Why ChatGPT refuses to fully explain itself. Vector teaches the layers of AI refusal while visibly coming apart, and the team has to figure out what's wrong with him.
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