Whatâ(TM)s interesting here is that as a professional musician, this guy is a public figure and the âoeactual maliceâ standard for defamation applies â" a standard that was designed when defamation could only be done by a human being.

This requires the defendant to make a defamatory statement either (1) knowing it is untrue or (2) with reckless disregard for the truth.

Neither condition applies to the LLM itself; it has no conception of truth, only linguistic probability. But the LLM isnâ(TM)t the defendant here. Itâ(TM)s the company offering it as a service. Here the company is not even aware of the defamatory statement being made. But it is fully aware of their modelâ(TM)s capacity to hallucinate defamatory âoefactsâ.

I think that because the tort is based in the common law concept of a duty of care, we may well see the company held liable in some way for this kind of thing. But itâ(TM)s new law; it could go the other way.

The laborious, linear interface is of course another limitation of all kinds of tapes -- digital or analog. But getting rid of this also changes human behavior. People don't listen as much to long form collections; they don't even necesssarily listen to entire songs.

A mix tape is essentially a long format program manually and personally curated for you by another human being, unmediated and indeed untracked by any third corporate party. Losing the mix tape was a real cultural loss. Sure they didn't sound great, but they didn't have to.

I suppose every technological advance is potentially double edged. When people get books and literacy, verbal storytelling declines. That doesn't make books bad. the technical limitations of verbal stories -- say limited repeatbility -- are real limitations, but that doesn't mean something wasn't lost.

PBS is primarily (85%) privately funded. It will continue to produce shows like Masterpiece, Nova, Frontline, and Sesame Street and people in places like Boston or Philadelphia will continue to benefit from them.

What public funding does is give viewers in poorer, more rural areas access to the same information that wealthy cities enjoy. It pays for access for people who don't have it.

By opting out, Arkansas public broadcasting saves 2.5 million dollars in dues, sure. But it loses access to about $300 million dollars in privately funded programming annually.

Seriously, the idea that we know all the practically important physics there is is the kind of thing only somebody who's never done science or engineering would believe.

Industrial R&D is important, but it is in a distrant third place with respect to importance to US scientific leadership after (1) Universities operating with federal grants and (2) Federal research institutions.

It's hard to convince politicians with a zero sum mentality that the kind of public research that benefits humanity also benefits US competitiveness. The mindset shows in launching a new citizenship program for anyone who pays a million bucks while at the same time discouraging foreign graduate students from attending universtiy in the US or even continuing their university careers here. On average each talented graduate student admitted to the US to attend and elite university does way more than someone who could just buy their way in.

Republicans equate being pro-market with being pro-big-business-agenda. The assumption is that anything that is good for big business is good for the market and therefore good for consumers.

So in the Republican framing, anti-trust, since is interferes with what big business wants to do, is *necessarily* anti-market and bad for consumers, which if you accept their axioms would have to be true, even though what big business wants to do is use its economic scale and political clout to consolidate, evade competition, and lock in consumers.

That isn't economics. It's religion. And when religious dogmas are challenge, you call the people challenging them the devil -- or in current political lingo, "terrorists". A "terrorist" in that sense doesn't have to commit any actual act of terrorism. He just has to be a heathen.

no problem.

I'm actually responding to the AC above you. He is arguing that the attack wouldn't make any sense for either country to make, based on *national* interest. I'm pointing out that's not the only framework in which *regimes* make decisions.

Just put it in context: Today Russia struck the Pechenihy Reservoir dam in Kharkiv.
Russia launched the war because they thought it would be a quick and easy win, a step towards reestablishing a Russian empire and sphere of influence, because Putin thinks in 19th century terms. Russia is continuing the war, not because it's good for Russia. I'd argue that winning and then having to rebuild and pacify Ukraine would be a catastrophe. Russia is continuing the war because *losing* the war would be catastrophic for the *regime*. It's not that they want to win a smoldering ruin, it's that winning a smoldering ruin is more favorable to them and losing an intact country.

That wasn't *all* I said, but it is apparently as far as you read. But let's stay there for now. You apparently disagree with this, whnich means that you think that LLMs are the only kind of AI that there is, and that language models can be trained to do things like design rocket engines.

That's what I just said.

Here's where the summary goes wrong:

Artificial Intelligence is in fact many kinds of technologies. People conflate LLMs with the whole thing because its the first kind of AI that an average person with no technical knowledge could use after a fashion.

But nobody is going to design a new rocket engine in ChatGPT. They're going to use some other kind of AI that work on problems on processes that the average person can't even conceive of -- like design optimization where there are potentially hundreds of parameters to tweak. Some of the underlying technology may have similarities -- like "neural nets" , which are just collections of mathematical matrices that encoded likelihoods underneath, not realistic models of biological neural systems. It shouldn't be surprising that a collection of matrices containing parameters describing weighted relations between features should have a wide variety of applications. That's just math; it's just sexier to call it "AI".

The illusion of intelligence evaporates if you use these systems for more than a few minutes.

Using AI effectively requires, ironically, advanced thinking skills and abilities. It's not going to make stupid people as smart as smart people, it's going to make smart people smarter and stupid people stupider. If you can't outthink the AI, there's no place for you.

Lincoln was a Free Soiler. He may have had a moral aversion to slavery, but it was secondary to his economic concerns. He believed that slavery could continue in the South but should not be extended into the western territories, primarily because it limited economic opportunities for white laborers, who would otherwise have to compete with enslaved workers.

From an economic perspective, he was right. The Southern slave system enriched a small aristocratic elite—roughly 5% of whites—while offering poor whites very limited upward mobility.

The politics of the era were far more complicated than the simplified narrative of a uniformly radical abolitionist North confronting a uniformly pro-secession South. This oversimplification is largely an artifact of neo-Confederate historical revisionism. In reality, the North was deeply racist by modern standards, support for Southern secession was far from universal, and many secession conventions were marked by severe democratic irregularities, including voter intimidation.

The current coalescence of anti-science attitudes and neo-Confederate interpretations of the Civil War is not accidental. Both reflect a willingness to supplant scholarship with narratives that are more “correct” ideologically. This tendency is universal—everyone does it to some degree—but in these cases, it is profoundly anti-intellectual: inconvenient evidence is simply ignored or dismissed. As in the antebellum South, this lack of critical thought is being exploited to entrench an economic elite. It keeps people focused on fears over vaccinations or immigrant labor while policies serving elite interests are quietly enacted.

It's different from humans in that human opinions, expertise and intelligence are rooted in their experience. Good or bad, and inconsistent as it is, it is far, far more stable than AI. If you've ever tried to work at a long running task with generative AI, the crash in performance as the context rots is very, very noticeable, and it's intrinsic to the technology. Work with a human long enough, and you will see the faults in his reasoning, sure, but it's just as good or bad as it was at the beginning.