Nah, Altman and Zuckerberg at least also desperately want adherents beyond wealth. They want to be famously important. See also most billionaires turned TV personalities, they crave attention, otherwise they wouldn’t bother.

Of course there’s a lot that don’t care. I would say Jeff Bezos and Larry Ellison don’t care about anything but their high score.

You don’t have a car. Do you receive packages? If you called for medical help, how would it get to you? Most folks if they don’t have a car at least want option for a bus, which requires roads. We can’t build rail to reach every household (you said freeway next to your home, so that doesn’t sound like it’s a very downtown situation).

Perhaps there shouldn’t be as many cars on it as you deal with, but the roads themselves…

On the Flock cameras, pretty much agreed.

Data centers are a bit more interesting. Sure the land itself is “find a willing landowner or handful in a sea of any land that would be equally ok”, but then you have supporting infrastructure. Perhaps not as large of a route to secure, and more flexibility to make pretty sharp turns and such, but still lots of room for people to get in the way of a critical dependency. So surely the datacenters are having issues getting power to their facilities in the face of so many people around their property not wanting to give up their land right? No solution for that.

Oh yeah, if they won’t sell their property to facilitate it, the government will just take it over: https://www.washingtonpost.com/ripple/2026/07/16/when-can-a-power-company-take-your-land-for-a-data-center/

So yes, in both datacenter and train, people can make it very hard to get things done. Somehow they find a way for the datacenters…

Dude lamenting women not being attracted to intelligence checks out as he use a picture that clearly focuses on a woman’s intelligence.

For midterms for the house, sure there are

They already rigged districts and can focus such efforts on a handful of districts. Similar story for statewide elections, interfere with a single big city in a state and that could assure a senator.

Hence why openAI seems now to want to stall IPO as long as they can…

And you are right, they singlehandedly are most of the problem despite not even being in the strongest position even if you are bullish on AI.

He is technically correct, the best kind of correct!

Volumes are going to be down, but they want the same revenue, so they increase unit price, comfy in the reality that it will still be, percentage wise, not worth it for most to care. Will it make it unaffordable for some? Probably not appreciably more than the hardware is doing all by itself.

So in short, it is just because they can.

Not just that, but had to be born after 1945 to be considered “Boomer”. Clearly time travelers

In the same way it’s accurate to call the human brain a prediction machine

I have seen no evidience presented that the human brain is simply making statistical predictions.

This seems to be a relatively new thing some people are asserting, because they see the LLM behavior and have decided that absolutely it looks so human like it must act the same, and since we understand that LLM is fundamentally statistical prediction of a token, then obviously human consciousness must operate on the same principle.

Even the latest models generate the sort of mistakes that stem from the fundamental limitations. A lot has been done in some contexts for making that not matter so much (e.g. in software development, the strategy is that code may have some verifiable goal, and the models can let the mistakes fly, then take the feedback from the goal, and iterate more). So it still can be very useful, but clearly it isn’t human like because of some of the completely dumb behaviors that result from it not actually thinking about it. It is at it’s best when either mistakes don’t matter (particularly fiction) or at least first mistakes don’t matter and can be automatically reconciled with facts.

By nature, the meme examples will get better because everyone talks about it and suddenly having all that discussion in training data and in search results, the statistics fix. However the operating principle behind them remains the same.

LLM output makes everything stupider, even LLMs.

Sadly, often.

It is sticking the most common content into a blender and dispensing the result according to a few tweaks. I have seen a lot of people eat that up.

Same reason why there’s so much money in low-effort mobile gaming.

It’s one of the things that really sucks, people with creative talent that would otherwise be rewarded and have their vision shared for lack of too many other options being drowned out by a flood of no-effort slop that the masses are just fine with.

For reference, that was the year Vista came out with a minimum memory of 512MB, with 1GB suggested.

AI can do any job.

It can’t do every job, or else it would have happened. There’s a lot of limitations that prevent it from accomplishing even the most basic facets of some jobs.

Ironically, especially the manual labor jobs not already replaced by robots are some of the toughest nuts to crack with AI. For example, any task where a human starts to have a hard time just by putting on some gloves, we don’t have ways to feed the AI the usual set of inputs that the human is acting on that is needed to properly imitate the behavior.

On the front of dealing in fact based work, LLMs don’t really deal in ‘facts’ but facts are very highly correlated to the narrative, so it can frequently do a passable job, but it is factually incorrect a fair amount of time and if the facts actually matter, then it’s a tricky scenario. If you can hook it up to a feedback loop where mistakes are both harmless and fed back into the model for a retry, then you can significantly mitigate this drawback, but it’s not always feasible to do this.

Now perhaps it can ‘do’ every purely fictional output of text, audio, images, and video, which would be the topic of the post. The stuff we were kind of hoping to be freed up to do as fun and rewarding art. Instead, it’s the first thing that is ‘nailed’ by AI as far as corporates are concerned freeing up people to be those plumbers and HVAC technicians instead of doing art, and we get stuck with the most milquetoast slurry of slop to consume instead.

We had a lot of weird all at once.

Lots of death and isolation. Economy all screwed up with a flood of cash to try to keep things level. Trump’s sore loser behavior validated just the worst behavior (it is always there, but usually leaders moderates it when it rears its ugly head, Trump fanned the flames instead). Putin continued his aggression against Ukraine, except this time Ukraine held its ground.

Every big event didn’t require COVID, just a bunch of long burning issues bubbling up at once.

… I would like to subscribe to your newsletter.

Allow me to introduce the incels.

Hard to get that experience when no one wants to be around you at all, let alone naked.

For example, everyone knew the gallows were for Mike pence, but that doesn’t mean that Mike pence was doing the wrong thing… In that occasion…

Everyone thinks AI can do everyone else’s job except their own.

I personally don’t think so, and will not disrespect people by using it. It’s just amazing how the fad at work went with everyone posting how they were going to automate away every other job responsibility but theirs. The crazy part is how eager they shared their concepts with the very people they were basically saying were obsolete.

“resounding success” but given up as a bad idea.

The fact that it could possibly “work” was not really in question, it was whether it would be worth the costs and drawbacks. It was not.

But either way you are right, space even worse than water with no benefit compared to ocean.