I agree in principle, but also agree with gp that in practice the things one has to do to rise to a position of power in corrupt institutions make it virtually impossible to be a credible agent of change, especially private/secretive institutions like military, intelligence, military-industrial corps. I guess politicians are the one role that is supposed to be able to operate without those institutional constraints but of course, (in the US) given corporate capture of political speech, political hyper-polarization, etc, in most cases they are just as or more constrained. It is a hard problem.

I can't wait to tell my dad about this study. We recently got into a heated debate when he insisted that I was a toddler on a family vacation we were reminiscing about, when in fact I was a teenager on that particular vacation, and he was mashing it together with memories of a different vacation. He is 75 but is in pretty good cognitive health, no signs of dementia besides this unreliable long term memory.

Yea there have always been gaps in privacy, but nowadays it's several orders of magnitude easier for corporations to exploit that private data at scale.

Seems pretty clear to me.

It A) gives business funding that would otherwise have to give up equity to VCS or sell to PE or whatever other forms of private, for-profit funding. And B) takes away money that could go to the military or ICE or other programs that could be used to concentrate Trumps power or aggrandizement.

> America has grandly benefitted hugely from their scientific community.

Has Trump and his friend benefited from this program? No? Then this doesn't matter.

Thanks

Recent advances in AI aren't useful for routine operations in safety critical domains such as aviation because we don't know how to verify and test them. An LLM is effectively an unpredictable black box with unknown failure modes. There is opportunity for greater automation but probably based on classical deterministic programming.

In addition to this, LLMs are also simply too slow right now to deliver the results ATC would need.

Ridiculous to see people acting like LLMs are a silver bullet for every problem without putting any thought into what that would actually look like.

Idk, you can still find outrageously potent weed in states where it's recreationally legal. But maybe it's just a residual from the fact that it was illegal not that long ago and binge consuming it is still quite normalized?

If they're actual flips, you don't know you're going to lose? You know your EV is 0. As others have noted, in the hierarchy of gambling a truly 0 EV game is fairly high up in the rankings if you're looking for less harm.

Attempting to kneecap the breakout front runner of the major American AI companies to ensure the shittier, politically compliant one wins in the short term? Gee I wonder.

Anthropic is great but not the undisputed front runner.

I can also interpret this as Sam and the administration supporting accelerationism while Dario is more measured and wishes to slow things down.

The ends are to create vacuums for big businesses to come in and provide the same services, for private profit rather than public benefit

Can anyone recommend a good source to ramp up one's understanding of macroeconomics/monetary policy to a point where they can make sense of this? Starting from more or less a layman's understanding. Could be a book or course, but doesn't have to be university quality, a good blog or youtube channel could do.

This is such a loaded question.

Because the fundamentals are basic:

Creating money out of thin air generally creates inflation, because theirs is more currency chasing the same amount of assets.

But the Devil is in the details, because there are hundreds of currencies, one currency can be exchanged for another, and interest rates vary all over the world.

Then once that starts to make sense, you open up a box called “derivatives,” and now the complexity just went off the charts.

I only need to understand it in the context of loans on assets, so I can do the math in my head or in excel. Occasionally I’ll vibe code this stuff in Python.

Because I’m not diving into the deep end of complexity, the books I absolutely LOVE are the cautionary tales of when it all blows up.

In that respect, I think “when genius fails” is an all timer.

Nearly everyone knows about the Great Recession, and the depression and the dot com bubble.

But the collapse of Long Term Capital Management was the canary in the coal mine.

LTCM blew up for all of the most predictable reasons, and as the name implies, nearly everyone involved in LTCM were at the top of their game.

Another book that is more folksy is “a man for all markets“, a book about the dude who revolutionized stock options, largely due to a fascination with Blackjack!

(The LTCM guys were big time gamblers too.)

https://www.google.com/search?q=a+man+for+all+markets+by+ed+...