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Could you provide an example article from Wikipedia for such bias?

PS: I had to look up „atlanticist“, did this on Wikipedia. (giggle!)


I know sometime around Trump's first presidency, in Bill Clinton's Wikipedia entry, under the Impeachment section they added in a picture of Trump and Clinton shaking hands, apropos of nothing in the surrounding text.

I just checked and it's still there.


Here's the change, which happened on December 5, 2016, a few weeks after Trump was elected the first time.

https://en.wikipedia.org/w/index.php?title=Bill_Clinton&diff...

Link to the section in question:

https://en.wikipedia.org/w/index.php?title=Bill_Clinton&diff...

Still there as of now:

https://en.wikipedia.org/w/index.php?title=Bill_Clinton&oldi...


So what?


Agree, but given there is such a big distribution in prompt energy usage, wouldn’t it then make sense to break it down further into some meaningful categories?

Also, they say median and mean diverge a lot. So, in my view, google should disclose both and discuss it. Understanding avg/total consumption of AI use is relevant here.


Do they include AI search summaries here? It would be a big no no in my view.

Google has rolled out AI summaries extensively over the time of the study and they likely use more efficient inference than chatbot prompts to their larger models.

They discuss the median in their paper. But I couldn’t find any breakdown about how the prompts they analyze are distributed across their models.


Just found a related post in another HN thread: https://news.ycombinator.com/item?id=44993288


Jeremy Howard has a great video explaining Random Forests: https://youtu.be/blyXCk4sgEg .


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