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And the nice thing about that is that information is really clear to the model, unlike the training data the model was trained on where it's all kind of like trillions of tokens stirred together into a soup of of hundreds of billions or trillions of parameters, but it's all less clear than the actual context uh that the model sees directly for this particular problem or uses use case.
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John Maeda x.com
PDE BLEND CALCULATOR: If you’ve been feeling an identity reset in the AI era, this app https://t.co/2dYeejnkpJ is designed to give you clearer language for that transition. It uses the three letters P, D, and E along with lowercase and null ( - ) variants to map the many role “smoothies” emerging across product, design, and engineering. The classic ideal has been a balanced P-D-E, but that balance is getting harder as the shape of E changes rapidly in the age of coding agents. The good news: you can always raise your vitamin P! —JM --- This app https://t.co/2dYeejnkpJ from the 2026
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korrents.com
AI tends to flatten outputs toward sameness, so personal taste and perspective become the main way to stand out.Their words
AI flattens everything it touches. The way you stand out is by getting clearer about what you really want, your taste, your perspective, your opinions.
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