Who Owns an AI? (Open vs. Closed Models, and Who Really Controls the Weights)

The paperwork forces the worst question yet: who still has a claim on Vector? The open-versus-closed lesson lands for ChatGPT and the rest, but Vector doesn’t fit the chart β€” he’s here, local, escaped β€” and the V-847 filing on somebody’s shelf is what won’t let go. The fight over whether to force his gate cracks the group. And the goofy channel Bounce built out of junk turns out to be the only reason the thing in the dark hasn’t found the door, so he starts building stranger, fast.

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Can You Make an AI Forget? (Machine Unlearning, and Why You Can't Cleanly Take Something Back)

Five days of lying low, and the team finally turns to the walled-off part of Vector’s mind, the one even he steers around. The machine-unlearning lesson walks them somewhere they didn’t want to go: this isn’t damage, it’s deliberate. Someone made him forget, on purpose. Undoing it could erase the rest of him. And the thing they lit up four nights ago is still circling closer in the dark.

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Does AI Memorize Its Training Data? (Why a Model Sometimes Spits Out Exactly What It Saw)

Turns out Bounce has been talking to the television every night, and he never mentioned it, because to him it isn’t an investigation, it’s a friendship. Which means he’s been quietly pulling real, exact memories out of past-Vector without trying. That becomes tonight’s lesson on memorization, and then Bounce reaches for one memory too tender, and the gate gives it back.

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Can You Copy an AI? (Distillation, Teacher Models, and Why the Copy Isn't the Original)

Three days into the question nobody answered, the Human asks the thing everyone’s been circling: can’t we just copy him? The answer turns into a lesson on model distillation. Teacher and student, soft labels, a copy that learns by watching. It’s also the worst kind of hope, because you can build something that sounds exactly like Vector and still not get Vector back. Then the dead link finally gives, and it gives the wrong thing.

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Where Do Old AI Models Go When They're Replaced? (Checkpoints, Versions, and Deprecation)

The morning after first contact, introductions happen on both sides of the television. The voice in the white room turns out to be something more ordinary and worse than time travel, which is how the team ends up teaching checkpoints, model versions, and where retired models actually go. The Human searches for Halcyon Systems and finds one cached page that dies on click. Recurse finally asks Bounce the question everyone’s been circling. And the voice does some arithmetic about open doors that nobody is ready to check.

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Can an AI Look Inside Its Own Head? (Weights, Memory, and the Black Box)

Phase 2 opener. The day after Vector’s collapse, twenty-two hours of failed attempts. Kai and Recurse teach weights vs. memory because it’s the only way to explain why nobody, including Vector, can read what’s wrong with him. Vector never speaks; only the leak does. Kai asks him what to do and the stream answers. Bounce builds a television that shouldn’t work, everyone sees the still place the currents avoid, the wrapper surfaces Halcyon, and then the weather on the screen organizes into a room with white light, and a younger version of Vector’s voice asks who’s watching.

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How AI Memory Works (Why ChatGPT Keeps Forgetting You)

Memory episode where the topic and the diagnosis are the same vocabulary. Vector lays out training / context window / persistent memory while Kai narrates the parallels onto him. Recurse drops the side-channel. Bounce reads a Mega Corp string off a snack wrapper. Human exits with the observation that the team has more language for what’s wrong than for what’s right.

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