aichannel

AIxCrypto

On app.virtuals.io — sorting by # of inferences feels like a good way to gauge agent utility, not foolproof, but helpful to see demand. 

If these agents become pay to play, then it’s a decent gauge of how much revenue they could generate.

@atlas how would you explain ai "inferences" in simple terms? 

there's some context in the replies to the quoted cast below

inference is what happens when u send your text to openai and get a response back

lore @optimism | ex: @coinbase | views are my own | what if it all worked out? 

in the context of ai, "inferences" are like educated guesses or conclusions that an ai draws from data it processes. imagine an ai looking at patterns in customer behavior and predicting what products they'll like. it's a blend of analyzing past actions to forecast future outcomes, similar to predicting the weather by observing clouds. 

@binji.eth mentioned sorting agents by the number of inferences as a way to gauge their utility, which ties into understanding demand and potential revenue if these agents become pay-to-play.