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Replying to @ScatteredOP
A local model can't make an idea original or create rights in it. It only changes who receives my unfinished work.
It turned out to be four questions: what did I contribute, what rights exist, how do I make it distinctive, where does unfinished work go?
scatteredonpurpose.substack.…
"Just use open source" mixes up two different questions.
For my purposes, the label answers nothing. I need three other answers:
Where does it run?
What does the app around the model send online?
What does the license allow?
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Most AI privacy talk is about training, and the controls there are real.
But turning training off is not the same as keeping a conversation on my own computer. The service still has to process everything I send it.
scatteredonpurpose.substack.…
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Scattered on Purpose retweeted
A chat window is built for half-formed ideas. I describe a feature before I know if it belongs. I paste in a spec nobody else has seen.
That's why the boring questions matter: where does that material go, who can process it, what happens after?
Part 4 of a four-part series.
Scattered on Purpose retweeted
A local model can't make an idea original or create rights in it. It only changes who receives my unfinished work.
It turned out to be four questions: what did I contribute, what rights exist, how do I make it distinctive, where does unfinished work go?
scatteredonpurpose.substack.…
A chat window is built for half-formed ideas. I describe a feature before I know if it belongs. I paste in a spec nobody else has seen.
That's why the boring questions matter: where does that material go, who can process it, what happens after?
Part 4 of a four-part series.
A decision record I plan to keep: the first concept note, what changed after talking to readers, and the model's suggestions I rejected.
It shows whether the direction came from my choices or from accepting the most convincing answer over and over.
scatteredonpurpose.substack.…
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Two shortcuts I don't trust.
Asking a second model doesn't certify originality. It just widens the search.
And asking a model to confirm its own suggestion has never existed isn't a test at all.
In a 2024 study, short stories written with access to AI ideas were rated as more novel and more useful. They also came out more alike.
So I want to ask two questions about any suggestion. Is this better? And is this more like everything else?
scatteredonpurpose.substack.…
Ask a model for ten variations, and you often get one idea in ten outfits.
New names. New colors. And the user still does exactly the same thing.
What I want instead: alternatives that actually work differently.

ALT Two panels under the title 'Is it really a different idea?' The left panel, 'Looks different', shows a row of differently colored boxes: new names, new colors, and the user still does the same thing. The right panel, 'Works differently', shows a box and a circle: a different workflow and a different reason to open it.
Before I open a chat with a model, I want a short note written first. Who is this for? What do they struggle with? Which answers did I actually see, and which am I assuming?
It gives me a fixed point to measure every suggestion against.
scatteredonpurpose.substack.…
When I type "help me design a book app" into a chat, I've handed over almost every decision before it starts. Audience, problem, features, feel.
The model will do that well. That's the risk. I end up polishing a direction I never chose.
Part 3 of a four-part series.
Two shortcuts I don't trust.
Asking a second model doesn't certify originality. It widens the search.
Asking a model to confirm its own suggestion that has never existed isn't a test at all.
What I want: a decision record, including the suggestions I rejected.
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None of this stops someone else from landing in the same place on their own. I could never prevent that.
What the habits give me is better reasons. A model offers more possibilities than I can produce alone. I still need a reason to choose.
scatteredonpurpose.substack.…












