I don’t know what do you mean by “most of the rest of the world” but it’s widely available in the American continent and Europe coverage will be almost complete in the next month(s):

https://press.wbd.com/us/media-release/hbo-max/hbo-max-nears...

> electronic propulsion is pretty simple

So simple that it’s usually called electric propulsion.

Everyone who runs out of time does actually need extra time!

Agree!

“Adjacent” as in “also available in R”?

The argument in the headline is sorta silly - I agree - but the quote I put in my other comment is the real reason I submitted this article.

Nothing conveys better the idea of a solid foundation to build upon than the word ‘slop’.

Every foundation needs some time to settle.

- Sir, this is an elevator.

Maybe not having it but being really close to that and knowing how to build it. "We are now confident we know how to build AGI as we have traditionally understood it. We believe that, in 2025, we may see the first AI agents “join the workforce” and materially change the output of companies."

Hasn't the happened? Plenty of companies are working and experimenting with agents.

I'm still waiting for the "materially change the output of companies" part.

I doubt anyone would say that given that they got into ads years before giving people the option to pay.

But the same logic applies. Youtube is not profitable without ads and would shut down.

Yeah, probably, but then again YouTube is entertainment and Google never claimed to be fixing the world and whatever. Also they're not sucking up hundreds of billions of dollars.

If ChatGPT and AI is "just" supposed to be Youtube, sure. ChatGPT wasn't supposed to be just YouTube.

> Sure, it's unintuitive that I shouldn't go all in on the smallest variance choice.

Is it?

You have ten estimates of some distance with similar accuracy of the order of 10m : you take the average (and reduce the error by more than half).

If you increase the precision of one measure by 1% you will disregard all the others?

> This is why Markowitz isn't used much in the industry

This may be one reason but the return part is much more problematic than the risk part.

Very true, although the off-diagonal terms in the variance-covariance matrix are also hard to estimate, which is a problem, especially when simulating worst case scenarios, which is often when correlations tend to break down.