Kamala Harris’s AI Explanation Is a Reminder That She’s Not Qualified to Be President

Vice President Kamala Harris has a real shot at becoming the next American leader. While 80-year-old President Biden stumbles about Europe saying ridiculous things and skipping NATO dinners it is becoming increasingly apparent that he will not be able to finish his second term if Americans are insane enough to give him victory in 2024.

He has lived a life that is almost ten times longer than the average male born in 1942. His job is one of the most demanding and stressful in the world. (Even if it seems like he’s always on vacation.)

Harris, however, would be a disaster at the helm. She always talks as if she were talking to children in her speeches and remarks and makes statements that would make Captain Obvious shiver. She explained to a group of labor and civil rights leaders in Washington, D.C., Wednesday, what “AI” stood for, as if anyone with a pulse didn’t already know.

I think the first part of this issue that should be articulated is AI is kind of a fancy thing. First of all, it’s two letters.

Machine learning is what artificial intelligence is.

It’s a fancy thing? AI is complex, potentially scary, amazing, mind-blowing—I could go through my entire thesaurus, but I don’t think I’d ever use the word “fancy” to describe the awe-inspiring power of artificial intelligence. (If you don’t believe me about the mind-blowing part, just head over to ChatGTP and ask it to write 1,000 words on a random subject. It will produce a perfectly acceptable (though boring) essay in seconds. Or check out DALL-E 2 and ask the artificial image generator to come up with almost anything you want—in any style—and you’re likely to get some pretty amazing results.)

Harris did not stop there. She went on to explain AI. It didn’t work out well:

The machine is then taught. We can then predict, by thinking about the information that is being fed into the machine, the decisions, and opinions it will produce.

To simplify it, we need to think about the factors that go into making a decision and whether or not that decision is legitimate and reflects the needs and life experiences of everyone.

Um, What?

The jokes almost write themselves.

This tweet is a perfect summary of the situation: