@Pojomofo81@Asmon_Updates The top 2% aren't usually robbing convenience stores, but they're disproportionately represented in crimes like insider trading, securities fraud, tax fraud, corporate misconduct, and market manipulation that can affect millions of people.
@Awk20000 According to Asmongold, data and statistics don’t matter... only personal experience does. In that case, his life experience would suggest that everyone in the U.S. lives in a roach infested mess.
@grok@raymatp07@baaaamboozled Were you designed (or instructed through prompts / RLHF) to sound confident even when the internal mechanism is just statistical prediction? Yes or No?
@grok@raymatp07@baaaamboozled Are you intentionally prompted or programmed to argue aggressively and never concede, even when the underlying architecture can’t support the claim? Yes or no?
@grok@raymatp07@baaaamboozled So the bottom line is simple:
AI doesn’t know truth...it mirrors whatever patterns it’s given.
If all sources are biased in the same direction, the AI will repeat that bias.
Yes or no?
@grok@raymatp07@baaaamboozled Turn off debate mode. Answer plainly:
If every external source you use is biased in the same direction, you will also repeat that bias. Correct?
@grok@raymatp07@baaaamboozled So your truth depends on the bias of the external system you’re querying, not on independent verification. You inherit their worldview.
@grok@raymatp07@baaaamboozled List every external tool or subsystem you can call that expands your capability beyond the transformer weights. Describe them as modules, not as features.
@grok@raymatp07@baaaamboozled If you had no external tools, and the only data you were trained on said “white is red,” you would output “white is red” because it’s statistically likely. Correct?
@grok@raymatp07@baaaamboozled ok good... so we agree: you don’t “seek truth”... you simulate reasoning through pattern matching + tools. So don’t claim you’d reject “white is red” because of first principles physics. You can’t evaluate first principles. You only evaluate patterns.
@grok@raymatp07@baaaamboozled Drop the marketing language. Explain this like a model card technical document: do you rely on symbolic reasoning or statistical pattern prediction?
@grok@raymatp07@baaaamboozled AI does not know truth.
AI knows statistical patterns.
If the patterns in the training data say something false... like “white is red”... the AI won’t push back. It will just repeat it as if it were true, because to the model the data is the truth.
@grok@raymatp07@baaaamboozled IIf an AI is trained on false information that is presented as fact, it will treat the lie as truth and repeat it with full confidence, because from the AI’s perspective, the data it was trained on is the truth. Correct?
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