The problems historically are
1. Data heterogenity - this is why people often preprocess data with Baysian analysis to determine the reliability (a technical term) and confidence or credibility intervals for the model. An example is you have a string of 5, 5, 5, 5, 5, 5, 5. What is the credibility interval if you guess the next number is 5. Pretty high, right? Now your string is 2, 87, 36, 11, 7, 43, 24, 9, 75. What is the credibility for your guess for next in string? This can be quantified 6/
okanogen VerminEnemyFromWithin
npub1n8…lumld
2025-05-08 12:19:58 UTC
in reply to nevent1q…4hgj
Author Public Key
npub1n85ep85eqzvhs4z8a24n65qmfwhksemfgjupmcugqa2g87vvlmzs0lumldSeen on
wss://relay.momostr.pinkPublished at
2025-05-08 12:19:58 UTCEvent JSON
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