Cross-posted from: https://feddit.de/post/10019763
In 2020, Revisor, a neural network-based election-monitoring software Revisor, analysed footage recorded at 1,238 polling stations in 29 Russian regions on polling day in 2018 in an attempt to retroactively uncover the electoral fraud widely believed to have taken place. Indeed, after counting votes and comparing them with the official turnout, the software found discrepancies in 11 regions so huge that it made it impossible for the election result to have been accurate, according to another Revisor creator, Vlad Matveyev.
“How can Putin be considered to have won if we don’t know how entire regions voted?” says Ivan Shukshin, one of Revisor’s creators.
AI looks at hundreds or thousands of factors or “vectors” along which to relate even just two pieces of information - ChatGPT for example looks at 1,536 of these vectors.
Which is 1,535 more than needed to figure this one out.
@voracitude @0x815
GPT is very good.
Just look at the letters that US politicians send to constituents.