The Supreme Court was hit by a flurry of damaging new leaks Sunday as a series of confidential memos written by the chief justice were revealed by The New York Times.

The court’s Chief Justice John Roberts was clear to his fellow justices in February: He wanted the court to take up a case weighing Donald Trump’s right to presidential immunity—and he seemed inclined to protect the former president.

“I think it likely that we will view the separation of powers analysis differently,” Roberts wrote to his Supreme Court peers, according to a private memo obtained by the *Times. *He was referencing the D.C. Circuit Court of Appeals’ decision to allow the case to move forward.

Roberts took an unusual level of involvement in this and other cases that ultimately benefited Trump, according to the Times— his handling of the cases surprised even some other justices on the high court, across ideological lines. As president, Trump appointed three of the members of its current conservative supermajority.

I cringe every time I hear another guy refer to women like this

E:

https://open.spotify.com/artist/3FILKvtNoiEfCJO9qVNCNF?si=sMsG0eZpQfS1EGlx13xNNA

Just about every time J.D. Vance — the most unpopular vice presidential nominee in American history — opens his mouth, he ignites a firestorm of criticism and likely shaves another point off the Republican presidential ticket’s polling numbers.

On Sunday, in an interview with CNN’s Dana Bash, Vance admitted that he and Donald Trump made up a baseless and racist story about Haitian immigrants eating pets in Springfield, Ohio.

“If I have to create stories so that the American media actually has to pay attention to the suffering of American people, then that’s what I’m going to do,” said Vance, a U.S. Senator representing Ohio.

Ironically, Vance’s attempt to point out imagined “suffering” has led to actual suffering by his own constituents.

cross-posted from: https://lemmy.ml/post/20289663

A report from Morgan Stanley suggests the datacenter industry is on track to emit 2.5 billion tons by 2030, which is three times higher than the predictions if generative AI had not come into play.

The extra demand from GenAI will reportedly lead to a rise in emissions from 200 million tons this year to 600 million tons by 2030, thanks largely to the construction of more data centers to keep up with the demand for cloud services.