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The juxtapositions in here are interesting:

- Most Americans don't know how social security is funded but

- An overwhelming majority of nonretired adults (79%) do not believe they will receive their full scheduled Social Security benefits when they retire.

- About three in four adults (77%) have heard that Social Security is projected to run short of money by 2033.

If you thought you had an individual account, and you also thought the program overall was going to run out of money and that you weren't going to get the "full benefit", does that mean you thought you weren't paying enough in?


Having an individual account does not mean that money earmarked for you is sitting in a vault. E.g, our banking system gives everyone an individual account, but does not have enough cash to pay everyone back; and occasionally their other assets fall, resulting in them not being able to satisfy their obligations to account holders. This has happened often enough, that bank accounts are not required to be insured against it.

There has also been a common talking point of Congress stealing from social security to fund other expenses, which could also explain how it would not be able to pay even with individual accounts.


How much should I put in isn't knowable - if I have known many who died before 62, and others who lived to 104. then there is various health that affects what you can spend - both ways, low health may mean spend nothing since you can't do anything or it may mean expensive nursing homes


It's very knowable. You pick an arbitrary retirement age, decide how much you want to have then, and run the compound interest formula backwards.

Aka, how all retirement accounts are handled.


your need your death date, inflation, and other details about your life after retirement to get that number.


I was just having a conversation (argument) with my MIL about this. She claims that people have felt that SS would run out of money before they retire her entire life. Has this sentiment been tracked at all? I certainly feel like I (aged mid-30s) will not be benefitting, but the common argument is that the Ponzi scheme will find a way to perpetuate for longer


Social Security counts on there being a larger workforce every year.

If there's ever a significant population crunch of working age people, it would be in trouble. In 2018, the cost of the Social Security program exceeded total revenues for the first time.

At current rates, Social Security is projected to be insolvent by 2034.

The only ways to mitigate this is to spend less or make more. But no one wants to pay more and no one wants to give up anything.


That early-mid 2030s prediction has been consistent all my life. It has gone up a little as rules changed but nobody was ever willing for the big reforms that could make it work long term.


Impossible to tell, but there's factors making it more likely to happen this time than in previous generations. Probably the biggest factor is the declining population, which no government around the world has been able to materialise an answer to.

My personal retirement plans assume no social security. Anything I may get in old age is a nice bonus, but in my planning, it's not the beef.


>which no government around the world has been able to materialise an answer to.

I disagree. The whole hot political topic of "illegal immigration" is as a side effect - seemingly a successful solution to motivate (foreign) people to bump the population. Specifically - "if you have a kid in the US, the kid is automatically a citizen, you don't have to pay taxes, you don't need a green card, you work under the table so make $0 on paper and thus qualify for free food and housing (welfare) and free healthcare (medicaid)".

Honestly if we gave such a deal to young non-foreign american women free and clear, likely we'd be seeing a lot more childbirths.

Despite all the economic burden and political strife this program has caused, it may in fact extend the life of the nation and welfare.


Couple that with the out of control deficit spending. The US is bankrupting itself and the music will eventually stop.


There's a damn good reason i hold very few bonds.


This is anecdotal, but I remember this sentiment becoming widespread in the 1980s, along with the imminent hyperinflation and currency collapse.

Political candidates (Carter and Reagan) promised reductions in federal spending, but couldn't get past the obvious lack of any real discretionary control due to the size of the biggest ticket items such as the entitlements and military. The conservative message of "entitlements will make you immoral" was replaced by "entitlements are unsustainable," making it sound like serious economics but without any real basis.


I think the "last 100 years with no maintenance" is not likely feasible with this approach. The top plate has a coating that supports high infrared emissivity -- and I think it would need to be regularly cleaned to work well. And you can't really prevent it from getting dirty by enclosing it b/c that both substantially changes the performance and moves the maintenance burden to cleaning the enclosure.


> Don't expect universities to sit still and do nothing.

> The popularity of residential degree programs may be ending, due to insanely high cost.

I think the problem is that universities _have_ been changing in the direction of _delivering less_ at the same time that they cost more. The article cites public schools doubling tuition in inflation-adjusted terms since 1995, but simultaneously:

- student-faulty ratios have gotten worse

- schools use under-paid adjuncts for a larger share of classes

- good schools often trade on the research record of faculty, but the success of those prominent faculty often mean they can get course buyouts / releases, so they're not teaching anyway

- much has been published about administrative bloat in universities but for example see 2010 vs 2021 numbers here https://www.usnews.com/education/articles/one-culprit-in-ris...

Rather than trying to make new online offerings, I think schools need to lean out their staff, and cut back on programs that don't have to do with instruction. Even better would be if federal funding eligibility was tied to schools demonstrating that at least X% of their budget goes to instruction, where that X should ratchet up over time.


The author neglects to observe that doubling tuition over 30 years equates to only a 2.35% inflation rate. That sounds pretty close to the US inflation rate during that time, so increases in tuition cost have been held in check pretty well.


No, if anything the article has a copyedit error in saying twice in one sentence that the doubling is after inflation-adjustment.

> While there have been some small declines in tuition prices over the last decade, when adjusted for inflation, College Board data shows that the average, inflation-adjusted cost of public four-year college tuition for in-state students has doubled since 1995.


Dedicated grad schools that are separate from, but affiliated with, dedicated undergrad schools. Those teaching at the dedicated undergrad schools will be hired for their ability to focus on foundational teaching, with research programs designed to involve undergraduate student researchers in genuine research, while still providing publication opportunities and genuine advancement of the art.


The talk focuses for a bit on having pure data from before the given date. But it doesn't consider that the data available from before that time may be subject to strong selection bias, based on what's interesting to people doing scholarship or archival work after that date. E.g. have we disproportionately digitized the notes/letters/journals of figures whose ideas have gained traction after their death?

The article makes a comparison to financial backtesting. If you form a dataset of historical prices of stocks which are _currently_ in the S&P500, even if you only use price data before time t, models trained against your data will expect that prices go up and companies never die, because they've only seen the price history of successful firms.


The talk explicitly addresses this exact issue.


It mentions that problem in the first section


Not a financial person by any means, but doesn't the Black Swan Theory basically disproves such methods due to rarity of an event that might have huge impact without something to predict (in the past) that it might happen, or even if it can be predicted - the impact cannot?

For example: Chernobyl, COVID, 2008 financial crisis and even 9/11


All models are wrong, but some are useful.

If you had a financial model that somehow predicted everything but black swan events, that would still be enough to make yourself rich beyond belief.


I think therapists in training, or people providing crisis intervention support, can train/practice using LLMs acting as patients going through various kinds of issues. But people who need help should probably talk to real people.


Yeah, I think the crappy side of it at this point is that the biometric data they collect is never leveraged to help you as a citizen.

If I lose my passport while abroad, given that the government has my fingerprints etc, why can't I use those biometrics to reenter the country (and have a replacement passport reissued immediately)?

Officially, you are supposed to be able to opt out of the face recognition cameras at security but I think whether staff actually respect that is not consistent.


The camera at SJC says it deletes the scan immediately after querying the database.

That makes opt out (which the sign says is allowed) kinda pointless, unless the opt out also deletes the existing database entries.

Tl;dr, I don’t bother opting out.


If you strongly feel that AI is doing analysis and decision-making at a level which is comparable to human executives, you and some like-minded people could try to form a PE group that takes over firms, replaces a highly compensated CEO with a lower compensation one and an OpenAI subscription, and see how you do.

However, only months ago Anthropic published about their autonomous vending machine experiment which had both humorous and interesting but not financially successful. I think maybe we're not to the point where AIs can run businesses. https://www.anthropic.com/research/project-vend-1


The skill ladder for humans assumes CEO functions require higher and better skills than a vending machine manager. But there's no reason to assume that AI capabilities map to those jobs in the same way.

It's quite possible that an AI would do a better job at CEO than running a vending machine.

And it's quite possible that successful CEOs would not succeed at managing a vending machine. It's almost guaranteed that many will fail, given that some C-level people are selected for risk appetite and social skills over actual business acumen.


I encourage you to read the Anthropic blog post, which includes situations like:

- hallucinating conversations with fictitious people

- role playing as a real person and telling them they are present in meatspace, or claimed to have visited a fictional location

- hallucinating details of an account involved in payments

- both ignoring lucrative opportunities and accepting loss-making deals

- making commitments before having done any research

While yes, the skills to run a vending machine and lead a company are not exactly the same, I think the nature of failures discussed means they would likely affect both roles.

I think there's every possibility that a present-day AI allowed to act as CEO would make mediocre choices for some period and then decide that it was a character in a scifi novel selling bespoke space-yachts to comet-mining magnates.


I guess you could make the argument that we haven't proven AI can't do a CEO's job until we test it... it would make an interesting experiment, at least.

But it also kind of reminds me of the DAO hype a few years ago where people suggested decentralized, blockchain-based organizations could be the org structure of the future. (Not realizing that they were just putting a co-op on a blockchain :) )

Now that I think about it, I do hope someone tests this theory out. It would be very interesting to see. You could probably start by saying "You are the CEO of a lemonade stand. Your goal is to maximize revenue while [constraints]..."


Because it's impossible. CEOs are rooted in place not for skill but because of a web of social connections and class divide.


It's entirely possible... In fact, I'm pretty sure that there are more than a few very wealthy people willing to place bets on that very thing... maybe not everything, but upwards of 1-3% of their wealth.

Now, actually getting in a room and talking to those people and getting in on the execution of that idea... that's a different story.


Your latter point is my point...

It's technically feasible but practically infeasible because parasites won't willingly leave a host.


> If you strongly feel that AI is doing analysis and decision-making at a level which is comparable to human executives

I am more inclined to believe that than the fable that AI can operate at Junior Engineer level.

Especially considering how many times the job of a CEO seem to be to string together a word salad to please shareholders to make line go up.

String together word salads to foster a given sentiment is the specialty of AI.


To tie this specific example to a larger framework: In scala land, Tiark Rompf's Lightweight Modular Staging system handled this class of metaprogramming elegantly, and the 'modular' part included support of multiple compilation targets. The idea was that one could incrementally define/extend DSLs that produce an IR, optimizations in that IR, and code generation for chunks of DSLs. Distinctions about stage are straight-forward type-signature changes. The worked example in this post is very similar to one of the tutorials for that system: https://scala-lms.github.io/tutorials/regex.html

Unfortunately, so far as I can tell:

- LMS has not been updated for years and never moved to scala 3. https://github.com/TiarkRompf/virtualization-lms-core

- LMS was written to also use "scala-virtualized" which is in a similar situation

There's a small project to attempt to support it with virtualization implemented in scala 3 macros, but it's missing some components: https://github.com/metareflection/scala3-lms?tab=readme-ov-f...

I'd love to see this fully working again.


I don't think that's even the smart thing. Because this is set up to receive reports about acts committed by groups receiving weapons from the US, the smart evil thing is to have dossiers of all the human rights abuses of your client states ready the next time you want to negotiate something with them. "It's highly embarrassing that you used the guns we gave you to shoot so many civilians. We might be somewhat less embarrassed to continue supplying you with guns if (your national airline bought more Boeing planes|you sung praises to our glorious leader more loudly in public|you brought a complaint against our adversary in the WTO)."


... but also increasingly sedentary lives, in part related to the kinds of things we do all day?


It took me a long time to come around to simplifying it all to sugar. Its not the only reason of course but my mind now thinks: There are other countries like ours, except not everyone is fat. Sugar bypasses our normal satiety - you can put dessert and sugary drinks on top of a regular diet, easier than you can a second or third serving of the entree. Sugar is cheap and an easy way to make money in the food business. And we have sugar factories galore selling candy disguised as coffee. Add one coke a day to a balanced diet, and you add 5-10lb of fat to a person per year.

My bias is now simply, its the sugar. No not only. But far and away the number one culrpit.


not only just sugar but high fructose corn syrup in particular. and yes, I know they're both basically metabolized the same but one is more likely to cause inflammation than the other. and the fact that it's dirt cheap compared to cane sugar makes it more likely to end up in our food at an affordable price. unlike other countries, we substitute sugar with corn syrup and the use of hfcs correlates to the increased obesity we've seen in the past few decades no matter how the ag lobby tries to rationalize otherwise.


No, most countries have followed this trend as well and don't have nearly the same obesity prevalence increase.

It's preprocessed food and sugar intake in general that are particularly bad in the US.


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