At least it has some years for the inevitable bounce left. It's getting there. Just kind of something someone trying to retire would have a panic over.

Good point.

Stop. The Vanguard retirement funds all did this if the target is before 2060. And those are invested in index funds by professionals. OP likely had the VTINX or a total bond fund, both of which did this that year and were recommended for during retirement. This is likely the more liquid portion of the portfolio, not the penny stock portion.

The close to retirement ones suffered that year. The 2030 target lost 25% in less than a year recently and hasn't recovered. Ironically, the high risk ones have been less risky during COVID than the low risk ones.

I sit corrected. It's used as an arbitrary singular value within the proof, so for any always felt more appropriate.

Any upsidedown A in the set of all real characters used in academia would immediately illicit mathematical memories.

It's a very hard game. I really got into it playing with the Noita Together mod, and the Spell Labs mod when I was playing solo, to really figure out the game. Then once I felt I had a good grasp, I beat it, did the sun quest, eventually beat 33 orb Kolmi... Lost all my progress and had to do it again.

If you can't tell, I love Noita, but I fell in love with the wand building first. Spell Labs has excellent tutorials on improving your wand builds too. But I now have modded the game, so I'm not a casual player of it either.

True. Can we get it to 420 since we overshot 69?

And I wouldn't call a human intelligent if TV was anything to go by. Unfortunately, humans do things they don't understand constantly and confidently. It's common place, and you could call it fake it until you make it, but a lot of times it's more of people thinking they understand something.

LLMs do things confident that they will satisfy their fitness function, but they do not have the ability to see farther than that at this time. Just sounds like politics to me.

I'm being a touch facetious, of course, but the idea that the line has to be drawn upon that term, intelligence, is a bit too narrow for me. I prefer to use the terms Artificial Narrow Intelligence and Artificial General Intelligence as they are better defined. Narrow referring to it being designed for one task and one task only, such as LLMs which are designed to minimize a loss function of people accepting the output as "acceptable" language, which is a highly volatile target. AGI or Strong AI is AI that can generalize outside of its targeted fitness function and continuously. I don't mean that a computer vision neural network that is able to classify anomalies as something that the car should stop for. That's out of distribution reasoning, sure, but if it can reasonably determine the thing in bounds as part of its loss function, then anything that falls significantly outside can be easily flagged. That's not true generalization, more of domain recognition, but it is important in a lot of safety critical applications.

This is an important conversation to have though. The way we use language is highly personal based upon our experiences, and that makes coming to an understanding in natural languages hard. Constructed languages aren't the answer because any language in use undergoes change. If the term AI is to change, people will have to understand that the scientific term will not, and pop sci magazines WILL get harder to understand. That's why I propose splitting the ideas in a way that allows for more nuanced discussions, instead of redefining terms that are present in thousands of ground breaking research papers over a century, which will make research a matter of historical linguistics as well as one of mathematical understanding. Jargon is already hard enough as it is.

/ʒaɪf/

This. A lot of kids drove golf carts to the pool and stuff, but while that would be semi-legal in their gated community, they had to cross a public road where even licensed drivers would be breaking the law. No one seemed to care though. I'm fairly certain it's illegal in most US states.

Interesting. Outside of chips, I've had a lot of luck with Private Selection (Kroger's no name brand). I've had quality issues with Food Lion and Walmart's perishables, but not as often with Kroger. Kroger's non perishables don't seem to be much different than Walmart's though.