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Finally saw some land #planaria! One apparently caught in my Wilson cloud chamber.
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Just got another email from guy w/ serious injury looking for regenerative medicine solution. Really tired of saying “someday; we’re still doing basic science”… Just once I’d like to hear from a 2-cell frog embryo wanting all its organs to be mirror image – then I could shine!
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Some models (especially from machine learning approaches) are criticized as being too “black box” to be understandable or count as “real insight”. I’m wondering what the boundaries are. Once the dataset inevitably gets big enough, what kind of model will not be a black box?
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Another way to think about it: what’s the schema for a “human-understandable model”?
