@darknetDon
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@su_liam a needa get a hold of whatever drugs people on here be takin
@gnomeoffender its less a clash of perspectives and largely about authenticity. I read the linked article and the original bbc article, and not a single shred of evidence to support any of this was shared, not even a lousy screenshot. If you're going to bash on AI, don't fabricate nonsense out of thin air, and if you're going to author public posts based on a test you done, show that test being done, or the conclusion if nothing else, for crying out loud.
@Slic330 @nuwagaba2 @dansup yeah well i wouldnt get too held up on what the americans are saying about free speech, because it is that very free speech that is a huge contributor to the active retardation of the entire population of people. The media can say what they want, with no repercussions, and as a direct consequence of this, people see no reason not to believe the shite they are hearing. Secondly, what amounts to bad and good censorship is too subjective for this sort of discussion.
@gnomeoffender which do you think is more likely, realistically. That the untrustworthy, dumb, glorified word-predictor is smart enough to engage in the convo-extending tomfoolery that you've outlined, or..... you are shit at prompting?
@emacsomancer to be honest i am not well-informed enough to definitively judge the accuracy of this, but it seems wrong for 2 main reasons.
1. models dont train on the fly, typically, yet, so for models to behave as such in such a short period of time seems inaccurate and would require web search enabled and explicitly directed to disregard other search results.
2. people training these models know conflicting info is everywhere and the source of truth is prioritized in training algorithms.