Reply Challenges Examples in AI Model Pricing Debate
@scaling01 tells @xeophon to stop bringing irrelevant cherry-picked examples.
In the visible exchange, @scaling01 replied to @xeophon that the cited examples were pointless cherry-picked cases that did not address the original statement. The surrounding discussion concerns whether open AI models carry low margins and whether parameter counts determine output token pricing. One participant references the pricing of GLM-5.3 and GLM-5.3 Flash as part of that argument. No first-party confirmation of margins or pricing mechanics appears in the packet beyond the participants' claims. The exchange remains an active reply thread among the public posts shown.
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Reply Challenges Examples in AI Model Pricing Debate
@scaling01 tells @xeophon to stop bringing irrelevant cherry-picked examples.
In the visible exchange, @scaling01 replied to @xeophon that the cited examples were pointless cherry-picked cases that did not address the original statement. The surrounding discussion concerns whether open AI models carry low margins and whether parameter counts determine output token pricing. One participant references the pricing of GLM-5.3 and GLM-5.3 Flash as part of that argument. No first-party confirmation of margins or pricing mechanics appears in the packet beyond the participants' claims. The exchange remains an active reply thread among the public posts shown.
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Lisan al Gaib@scaling01@xeophon you can keep bringing pointless cherry picked examples that don't apply to what I said
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