skysight-inc/HackerNews huggingface dataset:
> every generation of graduates is likely to produce at least 2x increase in legacy admits.

If you're implying that people are having kids at the 2 per couple replacement rate, US is below that.

Also it's forgetting that each couple likely took up 2 ivy league seats during their college years, so even if mom went to Yale and Dad went to Harvard, but their 2 kids both go to Harvard, that would be consuming 2 "legacy admit" seats which is 1x the number of seats from last generation.

My hypothesis is disproven though, if it is super common that ivy leaguers very frequently marry outside the ivy league, then 1 becoming 2+ with each generation would be a problem.
I use Google Flights for most except for

SouthWest.com directly for their flights.

jsx.com for the small niche rides on a small jet

Unrelated:
rome2rio.com for the whole picture including last mile to and from airports
"eventually" might be a while. these fairly obvious (once pointed out) photoshops were just sitting in the open in the top scientific journals in the world for 20 years...
Our root issue is Microsoft SQL Server refusing to install on Windows 11 ARM. If it did, we'd happily move to Windows 11.
I didn't comment on the legality at all. I just disagree that this proposed scenario happens in a vacuum of full consent and free of consequences.
Skiplagged is also very good
My wife is an allied health professional who opened her own business. She serves a fairly high end clientele. Thankfully a friend pointed this out and said she needed to keep increasing the price until they as a group push back and her wait list goes down (her wait list is measured in months and has a very high conversion rate). She has increased her price by 6x in the last few years. And the wait list keeps getting longer.
TikToker exposes examples of Canadian shrinkflation
I've only seen grifters, hysterics, or the ignorant talking about existential AI risk. A lot of people just nods their heads and go along, but I don't think there are many that have really thought about it (and understand what modern AI is) that really belive the risk.

It's more like political polarization where people dwell on something they don't agree with to the point where they treat it as if the world is going to end because of it, instead of in context. AI is more like the political party they don't like winning, potentially undesirable from a certain point of view but they see it as "existential".

I think it's important to see it in this light, instead of trying to actually debate the points raised, which are absurd and will only give credibility where none is due.
This is a very uninformed opinion that I see very often. In bebop, LH can be deceptively simple (but actually rhythmically it's not so simple). However things have dramatically changed, Brad Mehldau who's a foundational modern jazz pianist, probably the most relevant one after the last Big Tree (Hancock, Corea, Tyner), popularized things like LH counterpoint in jazz. Some of his arrangements if you watch them in mute, you could thing he's playing a Bach Fugue almost. The amount of pianists that followed this style after the 90s, is hard to keep track of, probably every single relevant pianist took things from brad, and LH counterpoint was one of them (a big one there too was Fred Hersch, who heavily influenced Brad).

Then, I recommend you to check out what Sullivan Fortner is doing. Probably the next really heavy one that has managed to push the jazz lang forward after Brad.
The problem with this is that it creates ambiguity in communication. Both the old meaning and the new one will circulate together, especially among different demographics, and cause potentially severe misunderstandings.
> My phone's carrier also gives everyone several free GBs of WhatsApp data per month.

Meta is surely compensating them in some form
Every medication developed in the last 30 years, for starters. I mean, you're basically asking for a list of every invention derived from government-funded basic research (also known as "all basic research"). It might make more sense to ask what you could use.
This statement is a bit misleading, as the criteria get to be hair-splittingly narrow when you are talking about a school with a sub 5% acceptance rate -- you could fill the whole class with valedictorians. Nevertheless, my experience is that in terms of finding a 'better' candidate:

Legacy -- legacy preference is pitched as a tiebreaker. Most of the legacies are actually quite good, and many are exceptional, so perhaps 30-50% got in over some 'better' kid. But in many cases, those slots represent something like geographic diversity, or a legacy kid of a minority or a kid of some famous person, and they generally don't take dolts. So this is not a huge tip.

FacBrat -- The kids of professors tend to be extremely and sometimes extraordinarily good -- their parents are Harvard professors, and that tends to rub off. Staff members less so, but it is politically hard to reject them if you want to keep their parents. There are more in the second category than in the first. So perhaps 60% of the kids get in based on this tip.

Donor -- Not a lot of these that I know of. Even in the 1930s, the son of the President of IBM got rejected from Harvard and Princeton because he was a goof off. I seriously doubt that there are more than 10-20 kids/year who get in this way who wouldn't otherwise.

Athlete -- This is where very few of these kids would get in if they were in the general pool -- 10% max I'd guess. A lot of them are very good, but that level of dedication to sport tends to eat time that could have been used for academics or other worthwhile pursuits.

I've always been amazed that they recruit for Golf, Squash, Crew, Fencing, Diving, Tennis, Lax, and Water Polo... these sports are limited to prep schools and rich suburban districts ... not exactly equitable.
The way he seems to have written 'C' is to use the C preprocessor and Macros to create a domain specific language and then write the program in that! Mind Blown!
It's a low salary for their responsibility, yeah. It is a good salary for the average person.
Quite frankly whilst I have no love for Meta, if they are willing to spend stupendous amounts of money to open source their AI models, yet prevent use of this by companies who reach 700 million MAUs from benefiting from this investment, then they’re doing a service to the community and ultimately finding a way to commercialise their investment. Tldr; they’ve invested a lot of money and time to help the community benefit from AI. If you then go onto build a billion dollar business servicing near one a billion users, then they expect a thank you in currency. How is that not reasonable?
Do you have data to back up the implicit claim you're making that dropping affirmative action will, all else equal, result in a larger number of lower-income people attending schools, and that affirmative action policies weren't aiding non-immigrant Blacks?
Isn't this article and thread about a kind of "help" that person could get from regulators?
What does “working” mean? That we’ve certified that it can in fact do what it reports to, or that the light turns on and it says it’s working?
My journey with the Chubon keyboard layout
They should be allowed to behave however they want, but whether we consider that behavior sufficient for non-profit status and tax-exempt endowments should be on the table. Donations for admission of your kids feels especially gross when talking about granting tax-advantaged status to institutions. It's a change in how we view them, to be sure, but questioning our expectations of tax-exempt non-profits seems like exactly what we want the government doing.
The companies developing these new AI models are so rich that they don't need or even care about small improvements for day-to-day tasks and problems. Instead, they seem hyperfocused on looking for the next disruptive improvement, while selling shovels to anyone else interested in picking what's left.
AGI doesn't ever have to happen for rapid deployment of AI based systems to cause harm.

Google "robodebt australia" for what happens when government uses machine derived decisions to penalise the poor.
A frightening large amount of people have terrible and judgemental attitudes towards sex work of any kind even though there they are objectively irrational. Rather than introspect, they try to debate and argue they are somehow correct. This is one of my favorite most unapologetic videos on the entire internet: https://files.catbox.moe/fzmvu0.mp4
I had the same experience. Also anecdotal but maybe a few more data points….
Demagoguery is always a constant fear for the free people.
Economics, Anthropology and the Origin of Money as a Bargaining Counter
How about you just don't go out of your way to predictably, deliberately make people's lives worse just so you can make a buck?
Most writers don't even have a ton of creative freedom though. That's a big part of the reason there's so much derivative TV.
It's a perfect framework for building a static website, love Tachyons
> except there's actually no monetary payout so suddenly it's not gambling

Yes, and it is extremely important. The monetary payout is what ruins lives instead of "just" wasting time and disposable income.

The added monetary payout creates an incentive to play even more to cover for the losses. In video games, when you make an in-game purchase for instance, the money is gone, so if you do that instead of paying the bills, you know you won't be able to pay the bills, this is usually enough to limit the spending.

If, as in casino games, there is hope for you to get your money back, and more, there is temptation to play just to cover your losses, which will eventually result in a downwards spiral. That is, you already can't pay the bills, so you take a loan to play more. After all, it was a bad losing streak, you will win the next one, that's for sure...
I don’t understand why economic disruption and human obsolescence isn’t considered an existential risk. We could end up in a world where 99.99% of people are redundant and useless cost centers for our GDP maximizing economic paradigm. In that case, you don’t need killer robots in order to push humanity towards near-extinction. The invisible hand will smite them.

But don’t worry, TED Talk attendee. The obsoletariat mostly won’t be Americans. The median member of this class will probably be Chinese or Indian. So you can continue your performative concerns about Roko’s Basillisk or whatever topic of distant, paralyzing uncertainty is overflowing from the next room into mine.
Crickets...
Time to move on to the AI grift...
Solar panels were invented even before Alexander Bell was born, by Edmond Becquerel. His work was funded by France.

Lithium ion batteries of Whittingham were based on decades of research in academia, including his own work at Standford and work of other scientists in many other institutions. See https://en.wikipedia.org/wiki/History_of_the_lithium-ion_bat... how many research institutions are mentioned in the article.

Profit-oriented research rarely produces interesting fundamental results.
> I argued successfully for storing the metadata on DOM

Who did you convince?
IIRC been some proposals floating around, but one major block is asncy drop. This is the article I'm thinking of specifically: https://blog.yoshuawuyts.com/tree-structured-concurrency/
It has been like that before Meta.
Fastest growing categories and companies across Y Combinator's portfolio in 2023
Just did a study on Y Combinator's portfolio to identify the fastest-growing US-based startups as well as categories, based on headcount growth, in 2023.

Universe of companies: All YC portfolio companies that have raised more than $5m in funding and have more than 10 employees. A total of about 350 companies.

Fastest growing industries by median headcount growth:

- Aviation & Aerospace 6.80%

- Medical Device 6.21%

- Biotechnology 5.85%

- Transportation/Trucking 5.40%

- Insurance 4.84%

Fastest growing categories by median headcount growth:

- Recruiting 9%

- Supply Chain Management 8.12%

- Productivity Tools 8.05%

- Aerospace 6.83%

- Biotechnology 6.80%

AI, Data, and Robots: The top startups in the industries above are leveraging AI, data and robots to improve processes in specific industries.

Top Growth Companies: Deel (global HR and payroll), Epsilon3 (software tools for space and manufacturing), and AssemblyAI (AWS for AI and ML) lead in headcount growth.
Because racism can have different effects depending on who is perpetrating it.

The recent surge in racism against Asians has been mostly about verbal and physical violence directed against Asian people. For the most part, Asian people haven't been missing out on educational and professional opportunities because of it.

That's not been the case for other manifestations of racism. There's really no hypocrisy here; you just seem to have adopted this very narrow, binary view of racism's effects and what needs to be done to correct those effects.
Again, "choices" made while in an addictive state is not "your own choice" (especially as it pertains to the developing brains of minors) and couching it in those terms is not helpful.

Also "enjoy" is a loaded term.
Golden age of TV is over... 1999 (start of The Sopranos) - 2023 (writer's strike).
> it's the one on one relationships with history that will make them different than the bots that came before

Is this intentional ignorance? The reason I use Facebook as the analogy is because Facebook has an insane amount of your history, and isn't afraid to sell any single aspect of that to advertisers. The interface some chatbot-controlling megacorp would expose to propagandists would hardly be different, the history is unlikely to be much stronger, and the network effect seems hard to match. Less a step-change than an iteration.
>"Just give schools in poorer areas lots of extra funding and resources, and their skills should improve, so that they do well in exams without any ridiculous "positive discrimination" based on skin color or ethnicity. As a bonus you also help poor people who may not belong to a disadvantaged ethnic minority, but still suffer from same lack of opportunities."

Many poorer areas already receive extra funding, but their SAT results are still well below those in richer areas with lower school funding. There are many examples of this, and a number of potential causes have been described (including selection bias, rich parents volunteering more, and others). One example of this is the District of Columbia.

https://www.census.gov/newsroom/press-releases/2022/per-pupi...
Wait, wallball is a regional thing? My mental image of an elementary school recess yard has just changed wildly. What about 4 square?
https://en.wikipedia.org/wiki/Elite_overproduction
Flash is one example of the problems of this new attitude, yes.
Zero: you cannot attach names to faces.

Three to five: starts to be problematic working around so many schedules.

Once or twice: you aim for two, you'll get at least one, and if 10/12 people show up each time, you'll get at least some of the benefits of working together with people you know well.

It's arbitrary, but it's practical.

From an end user's perspective: I am a doctor. I am the end-user for my specialty on my site that is the main point of contact for the backroom team in a different location that admins my electronic medical record. We have a once a month virtual meeting that is usually brief (15-20 minutes) to go over issues.

But I've met most of the people on the call at least once, when they traveled to my hospital to set it up. It helps to match name to face. And be able to recognize their voices. And if we were officially working together all the time, having a physical meeting once or twice a year would be a great chance for everyone to go out and grab a drink and learn how the others are personally. I'm not hypersocial, but even if you don't want to hang out with your coworkers (I usually don't), it's useful to have some interaction with them that isn't entirely business.
It’s just too expensive. Using the full GPT4 context window, for example, costs almost $2.00!

Obviously it would be much cheaper at scale, and like you said, it doesn’t have to be cutting edge. But still, the compute for an interaction with Siri is a fraction of a penny.
not yet. the writing isn't professional quality. might help for drafting though
There are tests: https://github.com/Infisical/infisical/blob/main/backend/tes...

/s
Thanks for the very comprehensive information. Curious what you think of this opinion about the lack of elite schools in Germany not being a good thing-

https://news.ycombinator.com/item?id=36789051
I'm referring to admission. Athletic achievement, high impact volunteer work, high impact internships, high SAT score, number of AP, essay writing, all of these require $$$ to be compete at the top level. A poor kid that has to work summers and part time during the school year cannot compete.
Of course, which is why the typical enterprise prices are large to begin with.
"Class" is often a way to discriminate by race without explicitly doing so. You can't enslave a people for generations then let them go and say "Our bad, I guess we're equal now, you're on your own now".

Like, they were exploited and nearly every free-person in the United States either directly or indirectly benefited from that exploitation. And after the practice was ended those who benefited, including a lot of those who benefited greatly, got to keep the spoils of that exploitation.

And you're right, ending affirmative action wasn't about meritocracy. Protecting legacy admissions serves the same purpose as ending affirmative action.

Personally, I believe that there's a way to do affirmative action without violating meritocracy. Just, all other things being roughly equal, make sure you're not picking all white dudes. Stop inventing excuses to exclude people who don't look exactly like you.
Exactly. And here is an example of that inability in the much clearer case:

"How many years after 1945 ... would it take for the Soviet Union to get the bomb? Framed this way, it was a much easier question than forecasting the advent of AGI: The Americans were concerned with only one adversary and the development of a single technology which they already knew all the details of. American predictions of Soviet proliferation offer a highly constrained case study for those who would undertake technological forecasting today."

https://asteriskmag.com/issues/03/how-long-until-armageddon
This is an absolutely stunningly false and ignorant statement. I can't believe it's still being repeated.

Web components are objects and they have properties that can be set. The entire web components community - which includes the developers of apps like Photoshop, Reddit, Chrome, Firefox, and a lot more - passes properties down through trees of web components _all the time_.
Data comes from the server as JSON. Data comes from the user as DOM events and changes. There's always going to be an impedance mismatch.

The DOM API sucks, so React et al went all in with state-as-objects. IMO it was the right call.
It's not just "one person", there is wide-spread fraud across many disciplines of academia. The situation, of course, is vastly different across subjects/disciplines, e.g. math and CS are not really much affected and I would agree they're self-correcting.

I might agree they're self-correcting in the (very) long-term, but we're seeing fictitious results fund entire careers. We don't know the damage that having 20+ years of incorrect results being built upon will have... And that's not to speak of those who were overlooked, and left academia, because their opportunities were taken by these cheaters (who knows what cost that has for society).
musl libc refuses to implement dlclose[1] for precisely the reason that modules too often misbehave when dropped at runtime, and requiring this behavior is very rarely needed if ever. The number of modules that will be loaded is almost always bounded, and keeping a module around in memory is mostly harmless; certainly less harmful on average than trying to unload it.

[1] see https://wiki.musl-libc.org/functional-differences-from-glibc...
The change that would make finding the next solution maybe not quickly would be to the basis matrix and its inverse from the last solution. Still, finding a new basis inverse would be much faster than starting from just the whole problem. Yes, changes in the basis matrix could make that basis infeasible, but could attack that the usual way with artificial variables, and there may be still better ways.

Changes in the costs c, the right hand side b, or the non-basic columns of matrix A would let the new solution be found usually quickly.
I know I'm not the only person who got into Go due to Hikaru No Go.

https://www.cbr.com/shonen-jump-hikaru-no-go-board-game-popu...
https://www.theregister.com/2023/04/27/microsoft_windows_rus...

mmmm... the Windows kernel? Amazon Firecracker (the AWS Lambda engine, afaik)?

I have used Rust off and on for a decade, and in the last 5 years Rust has really moved from hobbyist to making inroads at big tech firms. It is good to be skeptical though. Language boosters can be annoying. :)
This was a regular for springtime gym class in my NJ public high school -- easy to run with the only gear needed being a ball and a bat, basically softball but slower and softer.
> or flashy construction projects

My experience discussing this with some Deans of (large, top 10ish) institutions is that space and (qualified, tenure track) faculty are basically the hardest things to find, and space is probably harder. Lots of things require space (including, for example: student services), but space is limited, and classrooms and research and administrative space often take priority. And creating space is difficult, it takes years to build a building.
ChaiNNer predates Stable Diffusion and most of the AI craze. Its origins are in the GameUpscale community, where people were hacking and finetuning ESRGAN for 1x img2img (among other things).

Its super cool and easy, and deeply under appreciated.
yeah, there's a pretty wide gulf between patents in practice and their original intent, alas.
Journalism is an excellent minor. Criminal justice and psychology are excellent complements.

- Journalism will teach you who to ask questions of [to achieve the goal of accountability].

- Criminal justice will teach you what questions to ask [to achieve the goal of conviction/correction].

- Psychology will teach you how to ask questions [to achieve the goal of interrogation]. All interrogation and sales techniques are rooted in exploitation of psychology, but some people just have a natural knack for this. In both, the goal is to groom/break you into giving [something] you are inclined to withhold.

Philosophy likely factors in here too but I'm less familiar with that field. People appreciate Ethics about as much as they appreciate someone pulling the fire alarm and yelling racial slurs at evacuees in the parking lot. I've never found much use in naming logical fallacies (IME it's the domain of pseudointellectual internet bullies and pre-law students), but could see it being a way for oneself to reason why you're pursuing something. Self-righteousness substitutes well enough.
No, not literally everyone, I'm in Europe, I don't use it, my family doesn't use it, my friends don't use it, nearly nobody in my city uses it, in fact most people in my entire country don't use it.
I think publication of code culture in AI mitigates this relatively well compared to other fields, but it is getting strained recently.
Here is the link to the full study https://goldenpineapple.substack.com/p/y-combinators-elite-h...