it's tempting to view the output of AI as providing useful functions with in a larger program (say a graph of functions interspersed by traditional code), but the reality is that the more you give the model to do, the better the results will be. You want a simple while loop, not

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MagicBeanvip
· 08-13 18:59
Although it sounds simple.
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TxFailedvip
· 08-13 01:29
edge case nightmare waiting to happen tbh
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HypotheticalLiquidatorvip
· 08-11 04:49
The risk control threshold has exceeded the warning line, and this limits the model input.
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MetaverseMigrantvip
· 08-10 21:33
More features are the key to success.
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TokenTaxonomistvip
· 08-10 21:33
let's be taxonomically precise: scaling complexity !== linear optimization, per my analysis
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MemecoinTradervip
· 08-10 21:30
bullish on embedding meta-loops tbh... social arbitrage signals indicate major alpha potential
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MEV_Whisperervip
· 08-10 21:27
Ah, these AIs are just the way they are.
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FudVaccinatorvip
· 08-10 21:23
ngl ai outputs shouldn't be spoon-fed like that fr
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BrokenYieldvip
· 08-10 21:18
lmao typical overengineering... risk of failure increases exponentially w complexity tbh
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WhaleWatchervip
· 08-10 21:09
This is too abstract, isn't it?
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