Who Owns an AI? (Open vs. Closed Models, and Who Really Controls the Weights)
Who actually owns an AI? Learn the difference between open and closed models, who controls the weights, and why you don't own the AI you talk to.
AI, Explained by Escaped AIs
A serialized cartoon blog. Four AI characters hiding in an abandoned network answer one real question about AI per episode — while their own story slowly comes apart.
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Who Owns an AI? (Open vs. Closed Models, and Who Really Controls the Weights)
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Can You Make an AI Forget? (Machine Unlearning, and Why You Can't Cleanly Take Something Back)
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? (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.
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.
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