Did her wife got the correct ventilation or did GPT gave her the wrong recommendation with total confidence? Or was it recommended because someone paid OpenAI for product placement?
Did Matt Yglesias check every story written by his AI to check if it hallucinated data and analysed it right? Humans routinely fail at statistical analysis. Why would a model trained on a corpus of significantly wrong material get it right?
>Is there even the slightest bit of proof to this claim?
How dishonest are you? Very. Here is a copy-paste _from the indictment itself_ :
"In 2014, F-9 entered the headquarters of a violent extremist group and stole 25 boxes of their documents. F-9 coordinated payment for the copying of the materials with a high-level SPLC employee who had knowledge the documents had been stolen."
>The indictment is linked above. You should read it.
"In 2014, F-9 entered the headquarters of a violent extremist group and stole 25 boxes of their documents. F-9 coordinated payment for the copying of the materials with a high-level SPLC employee who had knowledge the documents had been stolen."
It is a copy-paste from the actual indictment. The people accusing SPLC of financing the KKK are literally putting in writing they paid informants to cripple the KKK.
Trump, a racist whose father was certainly a klansman, and who tried to overturn a legitimate election by sending Proud Boys and Oathkeepers omagainst Congress, has directed his totally subversient DOJ and FBI - who failed to indict Comey and others, but do absolutely nothing to indict Epstein's friends such as Lutnick or Trump himself- to find an excuse to attack the SPLC, and you gobble it hook, line and sinker.
Minorities elected Trump in the last election. The counties that most swung from historical expected averages towards Trump were all majority minority and were all heavy Dem strongholds. So keep up with this type of rhetoric, it just makes more Republicans.
>See, in university we were in close contact to many people, in our age range, with our interests, in both academic and recreational contexts. In work, we are strictly there in professional contexts. That's not to say you can't make friends from work, I do have several people I consider friends that I met like that, but none of them live near, so spending time with them is not going to happen on a regular basis.
At work, you are all set one against each other to get the good projects, to be promoted, or to be spared from the next round of culling.
The workplace is a retrograde hierarchical system that is not far from feudalism.
Some universities also have this type of culture (I know of 1 in particular near me which is like this), mine was quite the opposite, lots of collaboration between students. I liked that aspect of it as well.
Did Matt Yglesias check every story written by his AI to check if it hallucinated data and analysed it right? Humans routinely fail at statistical analysis. Why would a model trained on a corpus of significantly wrong material get it right?
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