Can you make an AI forget on purpose? Learn what machine unlearning is, why it's so hard to cleanly remove anything, and what catastrophic forgetting means.
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.
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.
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.
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 does ChatGPT actually remember things? What gets stored, what gets forgotten, and why every conversation starts from zero unless you tell it not to.
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