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lzaborowski
searching PlanetScale…
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by
lzaborowski
7mo ago
I like the idea of flipping the constraint. Most ML benchmarks assume unlimited data and limited compute, so people optimize for speed. If high-quality training data becomes the real bottleneck, then the interesting question is how much sig
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by
lzaborowski
7mo ago
One thing I’ve noticed with local models is that people tolerate a lot more trial and error behavior. When a hosted model wastes tokens it feels expensive, but when a local model loops a bit it just feels like it’s “thinking.” If models lik