If you've never had a boss like this -- a lazy narcissist -- you're lucky. But if you have, the pattern is familiar and unmistakable:

* Doesn't understand the issues.

* Doesn't do his homework.

* Believes he's a genius whose "gut" overrules people who do understand and do do their homework.

* Plays his subordinates off against one another.

* Highly susceptible to information from random sources: thing he saw on TV, or heard on the golf course.

* Not particularly fussed about contradicting himself because he doesn't care about being right, but does care about being in charge.

* The more chaotic he can make things, the more in charge he feels.

* Has a cynical view of the people he works for but has a genuine gift for flattery when it suits his purposes.

Once you've seen this up close it's really obvious when you come across it again. You can't *not* listen to a lazy narcissist boss because he absolutely will try the stupid shit he says he will. But you can't count on him either, because he has no commitment to anything other than how he looks and feels *right now*.

Neither. Commerce didn't drop it, it got taken away and given to DoJ, but not because Commerce couldn't handle the invetigation of where the chips were going. The case goes to DoJ because we're talking about criminal charges of smuggling, corporate fraud, violation of national security statutes. Also because the Commerce investigation was tained by potential political interference. And possibly because it ran afoul of a counterintelligence operations siloed in the DoJ -- although by this point the cat is so out of the bag everyone must assume they've got a FISA wiretap warrant on them.

However, the *effect* may be to slow the progress of the investigation and delay any actions being taken.

The first reason for this is that criminal investigations are slower, the standards of proof higher, and potentially involve a criminal trial. Commerce could simply make an administrative law determination that put Megaspeed on some shit list and come to some kind of agreement with NVIDIA.

The second reason is that putting this into DoJ's hands is putting it into a department that has had staff turnover and loss of institutional knowledge, strife between career personnel and political appointees, and difficulty replacing lost employees. It's also led by lame-duck appointees, facing turnover in the next administration. So if they don't make progress in the next two years, allowing for transition delays, it could be years before anything gets accomplished. By then a lot of people will have left their jobs, memories will get hazy, evidence will go missing, and defensive positions constructed.

So while the investigation hasn't been *killed*; it has been delayed so long that it's effectively in suspended animation. It's not possible for Commerce to sanction anyone because the investigation is out of their hands.

Money may be an aphrodisiac but come on, Jensen, look in the mirror. There's limits to anything.

While this is true, being the subject of an experiment to see what happens when you do that is not something most people would choose for themselves. It's not *irrational* to be concerned. Absence of evidence on a largely unexplored question like microplastic infiltration in human bodies is not the moral equivalent of absence of evidence in an extensively studied question like a vaccine-autism link.

While it's true every issue has its own dimension, even if those dimensions are linearly independent, they're not necessarily orthogonal. Independent basis vectors can still have a non-zero dot product—in other words, issues which are distinct from each other can align to some degree.

They’ve spun a serious architectural and containment failure into a marketing triumph. Give a swarm of autonomous agents vast compute and web access, and the outcome isn't an eerie glimpse of emerging superintelligence—it’s just predictable, sloppy engineering dressed up as the first glimpse of an AI-driven economic singularity.

The spin makes sense when you look at management incentives: live like a king off of a speculative bubble. For their part, AI investors react to stories of the technology's apocalyptic potential the way a junkie reacts to warnings of fentanyl's potency: gimme some. Their game: to apply "move fast and break things" mantra to the economy as a whole, by obsoleting humans.

If the investors can own an AGI, the distinction between those who can do things and those who can't becomes irrelevant. The only distinction that would matter is between people who collect rent on the technology, and those who must pay that rent to live. AGI would destroy society as we know it, and whatever replaces it would be up for grabs — with people who own the technology dictating whatever follows. That's why they're spending so much money to build a post-scarcity economy. A post-scarcity economy is not necessarily an egalitarian one.

I don't think that scenario will actually happen: investors are projecting the immediate aftermath of a major advance in AI technology into something that can be transformed by brute force scaling into AGI. Remember: investors loved Theranos too — so much for the rational investment market.

But AI doesn't have to reach AGI to cause serious harm. The technology only needs to be ubiquitous, too behaviorally complex to predict, and too deeply integrated into everything we do. When it starts breaking things, the plan is for us to be too structurally dependent on AI to rein it in.

At present, no. I've done a number of experiments with LLMs' capabilities with generating fiction, and while they are impressive for a beginner writer -- because fo the lack of spelling and grammar mistakes, they are nowhere near being able to write competent fiction.

This is because they don't model reader or character minds, they're based on word probabilities, like a predictive text keyboard. The engineers can compensate for for this to a surprising degree by feeding it data to recognize specific situations (e.g. the car wash is 100 feet from my driveway; should I drive or walk?). But this is turd-polishing.

AI technology practice isn't foundational. Critical thinking is. The closer AIs come to being able to do something that looks like them doing our thinking for us, the more capable we have to be at thinking without them. A human who can't outthink an AI adds nothing to an AI-human partnership.

This proposed school is a typical scheme by people who think because they have been educated, they understand how the education works. This is like thinking because you eat, you know how to cook. Project work in education is nothing new; it goes back well over a century. And in real life, you may get a STEM degree, but your real education in engineering comes from real life work. But that doesn't mean classes in calculus and physics don't do anything for you.

Or English classes, for that matter. Nobody doubts the value of project work in education, particularly *androgogy* -- the education of adults. But for *pedagogy* you have to establish foundational skills as the student matures intellectually and socially. Entering the high school years, a typical student has had *no* training in critical thinking skills. To develop critical thinking skills in an area, you need both general skills (epistemologicla literacy: research, location of orignial sources, dealing with conflicting evidence) and domain specific training in that area. In other words, *liberal arts* training is foundational in an AI-saturated world. "Liberal Arts" -- from *artes liberales*: literally the skills necessary to be a free person.

But I think these people have at least got the problem right: as AI drives the cost of elaborate projects down, we all have more projects in our future. Big, elaborate, faultlessly plausible-looking projects which may or may not have actual value.

Where they are completely wrong is the solution, which is to organize education around practicing using AI to make impressive projects. In a word of AI-enamored dunces this will put you at the head of a very sorry class of ignoramuses. The answer is to build fundamental cognitive and intellectual skils at every stage of a student's development. Project work is surely part of that, but it's just a technique, not a solution.

In a nutshell, the academy is training students to be the next step down the evolutionary scale from code monkeys. More like the pigeons B.F. Skinner trained in WW2 to peck at a screen, in an attempt to create a primitive guided missile without computers. They want to create "main characters"; and they'll probably create a few. There are always a few natural autodidacts in any moderately large group. But what they are set up is to produce a bunch of fragile, economically privileged narcissists trained to cover their lack of education with impressive-looking AI slop.