I’m seeing a lot of mixed opinions about the Fox/Dominion settlement. Mostly, I agree with David’s sum-up and response. To the extent you’re disappointed or feel like Fox got away with it, your expectations were unrealistic. Dominion’s a private company. It’s in the business of being in business and making money, not saving American democracy.

It’s genuinely difficult to comprehend the magnitude of the financial settlement: upwards of a billion dollars. Someone asked me yesterday if it were the biggest defamation settlement in history. I noticed a few reports basically hedging on this point, calling it likely the biggest settlement ever. But I think that’s mostly because it’s hard to prove a negative on the fly. I’m not sure there’s ever been a pay out even a 10th the size. (Mammoth verdicts are often trimmed down or tossed entirely on appeal.)

I’m also surprised that there was no admission of error, let alone an apology — we’ll get to that in a moment. But the reality is that the discovery process itself was a devastating verdict on Fox’s lack of any journalistic principles as a news organization. And the galactic size of the settlement really speaks for itself.

Two more Republican members of Florida’s congressional delegation have completely ignored Florida Gov. Ron DeSantis’ plea to hold off on endorsing Donald Trump while he tricks absolutely no one into thinking he’s still mulling a presidential election.

Reps. Greg Steube and John Rutherford announced this week that they’re throwing their weight behind the other Florida resident’s 2024 bid, both issuing Trump endorsements dripping with MAGA flair.

When we started this year’s annual TPM membership drive we needed to add at least 500 new subscribers. We’re now just 38 new subscribers short of that goal.

I wanted to share some thoughts on AI, artificial intelligence. The part of the discussion that has my attention is certainly not being overlooked. But it’s not at the center of the debate. It deserves more attention.

There are lots of different uses for so-called “generative AI.” But the kinds I’m particularly focused on are the ones used to create visual art based on textual prompts, write essays or even compose songs. This part of the discussion first got my attention a few months ago when an artist/illustrator friend of mine started talking about it on social media, how Silicon Valley’s latest disruption was set to put illustrators and artists — so often living on the financial margins already — out of business.

Now, job disruption isn’t new in this discussion. The fact that AI will put tons of people out of work is something that everyone talks about. But her discussion got me to focus on the fact that in these creative areas, what generative AI and LLMs are doing is going out and consuming all the existing art, or writing or musical compositions and learning how to create new works by absorbing all that information. Put more directly, that AI engine that creates the cool futuristic drawings of your face learned how to do that by consuming the work of thousands or millions of artists to learn how to produce the images that will now make the work of those same artists and illustrators superfluous and end their ability to make a living.