Did the vice president just say the quiet part out loud?

During a recent speech, she listed a series of investments that she insisted were necessary for the preservation of humanity … and one of them was to “reduce population.”

Folks like Bill Gates have long argued that we need to get rid of some of these pesky humans, but to hear it from the likes of Kamala Harris was especially newsworthy.

Here’s what TheBlaze reported:

Harris gave a speech about “building a clean energy economy” at Coppin State University in Baltimore, Maryland.

Harris touted President Joe Biden’s “ambitious goal” of reducing America’s greenhouse gas emissions in half by 2030 and having the U.S. economy reach net zero emissions by no later than 2050 — with or without approval from Congress.

She argued that the “climate crisis” is “one of the most urgent matters of our time,” adding that we “must act” because “it is clear that the clock is not only ticking, it is banging.”

Harris told the audience, “When we invest in clean energy and electric vehicles and reduce population, more of our children can breathe clean air and drink clean water.”

Whether that’s what she actually meant or, as the White House seemed to suggest afterward, was just the latest in a long line of embarrassing gaffes, the remark sparked widespread discussion on social media.

Of course, this is not the only absurd statement Harris has made in recent days. It came on the heels of her bizarre and remedial attempt to explain artificial intelligence.

According to Fox News:

Vice President Kamala Harris’ attempt to explain artificial intelligence (AI) to a group of labor and civil rights leaders on Wednesday instead became her latest word salad gaffe, something she’s become increasingly known for during her time in the role.

“I think the first part of this issue that should be articulated is AI is kind of a fancy thing,” Harris said during the roundtable at the Eisenhower Executive Office Building in Washington, D.C. “First of all, it’s two letters. It means artificial intelligence, but ultimately what it is, is it’s about machine learning.

“And so, the machine is taught — and part of the issue here is what information is going into the machine that will then determine — and we can predict then, if we think about what information is going in, what then will be produced in terms of decisions and opinions that may be made through that process.”

Here’s a clip from her comments during the recent AI roundtable:

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