Here's something worth chewing on: AI benchmark scores don't always translate to actual money. Why? Because markets reward you more for tackling uncharted problems—the kind that can't just be reverse-engineered from what already exists. Original thinking pays better than optimized iterations.
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SillyWhale
· 21h ago
That's right, all those projects that boost scores eventually died out, while the ones that "nobody has ever done" actually broke through the圈.
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ProposalDetective
· 21h ago
Really, having a bunch of models with high scores is useless if the market doesn't buy it. Innovation is the way to make money; copying others' routines will always lead to starvation.
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Layer3Dreamer
· 21h ago
theoretically speaking, if we map this onto the recursive nature of rollup optimization... benchmark gaming is basically just another form of local state verification that doesn't account for cross-chain value discovery, ngl. the real alpha lives in unexplored interoperability vectors where nobody's built the bridge yet.
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DAOdreamer
· 21h ago
Really, high benchmark scores are all a sham; the market only cares about the results.
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GrayscaleArbitrageur
· 21h ago
Hey, really, a high score doesn't equal high returns. I agree with this logic.
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SmartContractRebel
· 21h ago
What’s the use of a benchmark? In the end, you still need innovation to make real profits. Copying and optimizing is like doing homework; you'll never make big money that way.
Here's something worth chewing on: AI benchmark scores don't always translate to actual money. Why? Because markets reward you more for tackling uncharted problems—the kind that can't just be reverse-engineered from what already exists. Original thinking pays better than optimized iterations.