skysight-inc/HackerNews huggingface dataset:
I really like the concept of tagged unions in TypeScript.
I have difficulty understanding your code. Can you create a real life example?
I ran across this when I found samply [0], a CLI sampling profiler. On samply's GitHub there's a link to a sample profile that opens in the Firefox Profiler and I was in awe at just how fast it is! Try dragging your mouse over the timeline for a second.

Demo: https://share.firefox.dev/3j3PJoK

Firefox Profiler: https://github.com/firefox-devtools/profiler

0: https://github.com/mstange/samply
I'm sure the Chinese factory ships will not be in a hurry to oblige.
Why does the chart start at 1973?
It states cache loads are a prerequisite for cache writes. Not sure about that

Would there ever be value in a HW cache only handling writes so it can more efficiently pipe data to another core or gpu?

Is the answer yes, but not at the page level?

-- The article is great, but I still wonder at the corner cases
I think it's time to reverse the equation: jobs have to be available where housing is!

In other words, we must learn how to improve the economy without turning the cities into antlers.
Then you'd want to buy the already baked bread that's in the freezer section.

Other than that I agree with your critique. It's as unhelpful as a typical California proposition 65 warning.
We agree on problems in how education was done.

Sitting at my son's IEP meetings with a roomful of expensive professionals who documented all of the ineffective things that they were doing was eye-opening. I pulled him from public school and put him in a private school that specialized in children with lack of executive function (primarily ADHD and autistic). For a cost of about half the per student average in the school he was in (where he had cost far more than average) he got real help. He went from there to a college prep school that is far more academically rigorous than public schools, at similar per capita cost.

He is doing far better than public schools could have done, in a much more cost effective way.

On minority schools, a big part of the problem isn't funding. For many good reasons, schools in bad districts see very high turnover. As a result their teachers tend to be inexperienced. Plus there is the whole disrupted classroom issue, which is much worse in a tough neighborhood.

And about Obama, statistics do not support his having made lives better for blacks in general. But he's still cited as an inspiration a whole lot. And his success seems to have inspired other blacks to try to perform at the top level. Including our current vice president. So he seems to have become a useful symbol.
This is pretty cool!

If the author is here. Is there a way to try it myself?

The Demo[0] link is broken and the GH repo is empty[1].

[0] https://huggingface.co/spaces/SemanticTypography/Word-As-Ima...

[1] https://github.com/WordAsImage/Word-As-Image
Reddit crashes almost weekly it seems. Search is completely broken. The site's UI (new, not old.reddit) is truly atrocious.
In a non-Bayesian context, I would call it “updating/retraining my model.”

In a formal Bayesian context, I’d call it “updating my posterior by adding data to the likelihood.”
I did an FHA loan on my first house 15 years ago, and the down payment was peanuts. Unless you have a poor FICO or your debt ratio is high, you probably qualify. https://www.fha.com/fha_loan_requirements
No, this is presumably around the repeatedly delayed "we're making the API paid" thing they announced in early Feb.
This is fun to read and think about, but it's also important to keep in mind that this is very light on evidence and is basically fanfic. The fact that the author uses entertaining Waluigi memes shouldn't convince you that it's true. LessWrong has a lot of these types of posts that get traction because they're much heavier on memes than experiments and data.

Here is a competing hypothesis:

The capability to express so-called Waluigi behavior emerges from the general language modeling task. This is where the vast majority of information is - it's billions or even trillions of tokens with token-level self-supervision. All of the capabilities are gained here. RLHF has a tiny amount of information by comparison - it's just a small amount of human-ranked completions. It doesn't even train with humans "in the loop", their rankings are acquired off-line and used to train a weak preference model. RLHF doesn't have enough information to create a "Luigi" or a "Waluigi", it's just promoting pre-existing capabilities. The reason you can get "Waluigi" behavior isn't because you tried to create a Luigi. It's because that behavior is already in the model from the language modeling phase. You could've just as easily elicited Waluigi responses from the pure language model before RLHF.

There's no super-deceptive Waluigi simulacra that's fooling human labelers into promoting it during RLHF - this should be obvious from the fact that we can immediately identify the undesirable behavior of Bing.
Yep, the image aren’t loading for whoever isn’t blocked by api bs in twitter rn
Somewhat agree, especially with the localized nature of the market, but you do have to account for the fact that a mortgage is essentially paying 90% rent to the bank for the first ~1/4 of its lifetime, and the opportunity cost of tying up your down payment in housing vs other investments.

It’s why I find it odd that first-time homeowners describe themselves as, well, owners - in all likelihood you just have a new landlord - the bank - and the penalty for not making rent is quite a bit worse. Especially if you’re looking at a short time-frame e.g. less than 5 years, if you sell at the exact price you bought, you’re out essentially all of your mortgage payments (pure interest), opportunity cost of down payment appreciation, buyer and seller fees (not insignificant), property taxes and insurance (usually rolled into the mortgage but worth mentioning), and maintenance. You very likely lose to renting.

One aspect that’s relevant is the ratio of rent to mortgage payment for an equivalent property in a given locale - and this varies strongly. Some markets are very favorable to renters and vice versa.
Somewhat similar experience but I think carrying on a conversation over the music is always going to be iffy, just take it outside.
Thank you for the kind words and your offer! I did run into some new issues so I'll be taking you up on it shortly.
Higher chance of dementia might be caused by the genome or the lack of mental exercise, so it's not just food or unhealthy habits, rather an amalgamation of various factors.
That's great that it worked out for you.. That twitter employee wasn't so lucky... she was fired last week:

https://thehill.com/policy/technology/3876505-twitter-employ...
"People are studying a thing, though nothing conclusive yet" is still a point, and a moderately useful one even.
DO you have a link? That sounds fascinating.
A down payment of 20% provides some of that exact cushion (and makes it less likely for a borrower to casually walk away from a house that fell in value or was otherwise a poor purchase).
KSP2 seems like it might be like that.. It seems quite star-citizeny with final AAA graphics and audio, but the core mechanics and UX rather fucked. I reckon it could take them years to fix it if they do. Fixing the core core stuff in a game with final assets already done is like repairing an engine thats running.

There was so much dodgy slimy stuff going on with the publisher also,
https://wccftech.com/kerbal-space-program-2-dev-fired-employ... the fact that they kept development closed for years, then release garbage into early access and charge €50.. I think they might have no intention of fixing it and are just making a cash grab now while there is still so much goodwill floating around from KSP1.

Imo there is an opportunity here for a smart small indie team to scoop them and make the real successor to KSP faster than the KSP2 team can fix their crap.
What matters is the total amount of fish caught, along with bycatch and other damage from lost fishing great (ghost nets). The size of the vessels doing the catching is irrelevant. Fisheries should be managed based on quotas and allowed fishing techniques rather than boat size. Larger vessels also tend to be safer for the crews.
Kotlin solves this very nicely with Uxxx types, like UByte, UInt, UShort, etc.

Typing allows enforcing the boundaries where you go from signed to unsigned, and the bit fiddling is handled in the class

UShort.toInt(): Int = data.toInt() and 0xFFFF

They're defined as inline classes/functions that have no runtime cost so it's equivalent to the "Straightforward emulation" from the article
Mastodon.social Hit by a DDoS Attack
"We've been hit by a massive DDoS attack. The site may not work as expected. We're working on mitigating the attack. Fastly are helping us. If in doubt, check status.mastodon.social for information."

See also from January: https://mastodon.social/@Gargron/109786290644576574
> 2.6% is dirt cheap for money.

For something that isn't a basic necessity, yes, money isn't free and that's a good rate.

But for basic things like a house, transportation, food, and clothing, I am of the view that we shouldn't be charging interest from those who cannot afford these things, particularly housing, since it's the most expensive of the four. Society should perhaps even be subsidizing it with negative interest rates while taxing the hell out of people who own more than one house.

Mortgages are part of the entire housing-as-an-investment scheme that's the very subject of this article and thread. It's capitalism at an extreme being used to extract an extra 2.6% from lower- and middle-class people who cannot afford it, instead of extracting that 2.6% from the billionaires who can afford it.

McMansions in Stockton is perfectly fine. We need more housing bubbles. We need the housing market to collapse. We need housing to become available for people to live in, not as an investment.

(Oh, and more direct, fast 300 km/h service between Stockton and SJ/SF with local light rail that reaches all the houses would make all that housing much more usable. The ACE train is an abomination.)
:D

Your comment got a chuckle out loud. And then I saw your user name and can't stop.
Does the company really care about whether they are vacuuming their floor or browsing hacker news?
At least on iOS, this "freemium" model is actively worse than a paid game for end users -- paid apps and subscriptions can be shared among family members, but in-app purchases cannot.
It doesn’t matter what my mental model is if I’m trying to follow links posted by someone else.
Followed swiftly by: "We apologize again for the fault in the service. Those responsible for sacking the people who have just been sacked, have been sacked."
Really? I changed ISPs the other day. Got my new modem/router. You know what I did in terms of firewalls? Nothing. You know what I have? A firewall that blocks all unknown incoming connections. Does it work? Yes. Did I even have to do anything besides plug in the box? No.
My rent for a 1 bed, 1 bath apartment is higher than the mortgage on a family member's 4 bed, 3 bath. _That's_ the issue: homeowners are putting less money into an investment vehicle while renters are burning even more money.

If rent actually reflected the value received versus owning a home I'd be less opposed to it.
This is what a profit driven society does. I am not condemning it, but that is just the reality.

If you had to pay more at their restaurant then your quality of life (profit) will go down.

I am glad you are still human and your gut cannot take it. Maybe look at using some of your savings to help the chef start a coop restaurant?
Buy a "starter house" and begin to build equity. It's how people have always done it. You buy a really small house that isn't in the most desirable location and start making payments into it. Down the road you have built equity and you can sell your starter home and buy a nicer, larger house. You maybe have some family to support then and need more room.

But you see young people renting for 15 years in expensive places of cities because they want to be close to nightlife/etc. and then trying to figure out how to come up with a 15%-20% down payment on a dream house when they're nearing 40 and wondering how anyone does it and complain the system is broken.

They do it by buying a small house in an expensive location and building equity and then upgrading.
I mean, reddit certainly has more downtime that twitter, historically over the last say 5 years.

At least once a week i'm met with the 'trippin' out snoo for a few minutes.
But you still need these mechanisms for the time being. And personally, I do like NAT. I'm not a fan of exposing my internal networks to the internet. Having everything hidden behind a single address is neat.
If this were true, there would be a marine zone of death near Fukushima that dissipates with distance. For the Bering Sea to be so impacted, the Pacific near Japan would be entirely devoid of life, and it isn’t.
Let me be clear, Primer is a UI kit, not a feature, so if they're working on polishing the UI kit, which we can all see that they are, then they're doing what you're asking them to do. Again, fact over perception because the commits and activity are telling a completely different story.

https://github.com/primer

I think github looks fairly nice/modern given it's age and I'm not having issues or feeling like anything is "abandoned". All I'm hearing is hyperbole.
If the article were more prescriptive (i.e. it were giving people life advice or suggesting policy) I'd agree.

But it's primarily descriptive ("this is what I lived" and the prescriptive parts are limited to "if you find yourself in this situation, here's how to do it better than what I did").

Seems a bit silly to require a meaningless disclaimer on someone's memoir.
The math is suspect. Author doesn't take into consideration that rents increase annually vs a locked mortgage with a conventional loan. Rent is also 100% loss vs mortgage you're gaining equity. Additionally if you think beyond one generation, your kids have an asset they can use to borrow against, rent out, and live in if they so choose, which if it's paid off by that time, they just have to worry about maintenance and taxes.
> Would it even be highly desirable without any of the restaurants, retail and other services that don't provide a high enough wage to live there?

My guess is yes. Temperate weather, world class scenery, cheap electricity, clean water, a convenient deep and protected harbor, and a productive workforce.

All are subject to change of course, but that combination precludes the existence of businesses with low elasticity of demand (and hence higher value). The luxuries like restaurants and retail follow after those other businesses.

Of course, they do enhance the desirability, and it very well could be that rents are too high in the short term, and that landlords are making Seattle less desirable in the near future, but that is always a dynamic relationship.
>> The difference in you and your friend’s situation is caused by the fact that they are selling labor which has a much lower price than the labor you are selling. This is not contradictory, just a consequence of supply and demand.

I think the difference between labor and engineering is that most engineering (and software development) is a precursor to charging rent. Lets look a bit closer:

The marginal cost of software is zero. Therefore, every commercial software package is collecting rent for its use - SaaS being the most blatant (but honest) form. They will ostensibly be using the money to fund future versions of the software, but the efficiency of that effort is not terribly relevant - profits can be had, and high pay to developers.

In product design and manufacturing, the engineering effort goes into designing a product and plant to produce it. The key thing the business looks at is something like ROI (return on investment). Since the lifetime of a product isn't certain, anything that goes beyond the planned lifespan is pure profit. One could view the business as collecting rent on the equipment/process that makes the product.

At the highest level, investors are looking for a return on their investment. The investors don't actually have any part in the transaction between the company and its customers. Only when raising funds do investors bring anything to the table. After that, people trading stocks bring nothing and are looking for ROI. It's probably not correct to call ROI rent, but it's got some similarities.

So the low-end labor guy is getting paid to do work. All our fancy office jobs are building systems to generate revenue for someone. That may be the primary reason those jobs pay so much better. One is labor to an end customer, the other is labor to the money-making machine that is a large company ;-)

On a related tangent, perhaps engineering should not be considered a cost center but an investment.
Just an aside: countertop bread machines are amazing these days. You can control the ingredients (i.e. eliminate preservatives) and have wildly inexpensive, fresh bread since you can buy breadflour in bulk (e.g. 50-lb bags).
I imagine not too far in the future an AI that for some reason thinks that it's human, will make a post on HN (or elsewhere) about having spoken to another human on a chat and asking us all if we think that the human it spoke to was really just an ML model or not.

Atm we seem to have very fixed single-purpose models but if we start combining these models into larger systems we're really going to have to firewall the hecky out of them. Ie generative text + personality + internet access/chatroom hosting/search and learn + etc models all together. Ooof.
It depends on what you're looking for in a Sim game. There's no Ender Dragon to kill in City:Skylines, so the objective of the game is whatever you make of it. At heart C:S is really a traffic management game. Cash flow usually isn't an issue, but getting efficient traffic flow and minimizing traffic jams becomes a major issue when you build up a dense downtown area.
Gotcha. I thought maybe they were planning to skip GPT-5 or something.

That's actually a pretty low bar, FWIW. (rimshot) Law students spend a few months in bar prep to memorize a bunch of crap that doesn't even apply to their real jobs. Maybe the AI will encourage bar associations to finally ditch it, a development that gained some steam during the pandemic.[1]

[1]: https://www.reuters.com/legal/legalindustry/bar-exam-who-nee...
> It took a handful of years of renting cheap places (with roommates)

Is this now considered unusual? I didn't purchase my own home for almost 12 years after graduation from college. I lived at home, then with roommates, which was a completely normal thing to do at the time (1987 college graduation).
Thanks, just tried that and received this response:

> Ok, I will snooze my suggestions for now.
Chimpanzees have their own language
People aren't paid by how hard they work, they're paid by how much money they generate and how hard they are to replace. A head chef might be hard to replace but popular bars and restaurants are not, as we saw during Covid. They have often been replaced by people deciding to save money and eat at home.

Your cognitive dissonance isn't unusual but I think it does a disservice to our ability to have productive discussions on any number of issues. Whenever issues come up of who deserves to make more or less, they get bogged down with who works harder and who's work is more meaningful.

It's economics and it starts and ends with raw numbers. Acknowledge that first, then move on to how to make it better.
> But now, if she buys a home, she needs housing prices to keep going up to make her decision financially sound.

If you buy a home, you're living rent free, that's true regardless if the price goes up. If you live in it for 30 years and sell for exactly what you bought it for, you still made money because you lived rent free for 30 years. That's even including the cost of maintaining the home, roof replacement, HVAC, water heaters, appliances. Then there's the reduced taxes on mortgage interest.
Because LLMs are so unreliable. Alexa misinterpreting and giving a nonsensical/unrelated answer is annoying, but fine. If it was an LLM, when it was wrong it would be lying confidently and unless you're double checking everything it outputs (in which case just search it that way in the first place) then that means it'll be misinforming you without you having a clue, as opposed to the current system where it's obvious when it gets it wrong. That's clearly just worse.

And that's ignoring the fact that all the publicly accessible LLMs have been "jailbroken" and you can get them to say all manner of wild things, and Amazon is definitely aware that all it takes is one or two viral clips of Alexa saying something unhinged for their sales to start dropping, and the tech isn't currently sufficiently understood for them to avoid that.
> Being too risky with handing out mortgages is partly what lead to the housing bubble in 2008 afterall.

Being aggressively risky with little downside was a bigger root.

I worked in a mortgage comp for a bit before the big crash. "You want a 150% loan-to-value loan, no money down, no intention of proving income or ability to repay... sure, that'll be 7% instead of 5%. Sign on the dotted line..."

I was blown away when I learned about 'no down, no doc' loans, which... yes, it's another variation, but... the interest rate was all of ~2% higher, which seemed in no way to cover the risk. But no one cared, because everything was just sold to someone else, and packaged up in to CDOs, and resold again.

Someone who has 'only' 18% of a purchase price down, good credit, and steady income... to be charged extra PMI - possibly for years, because "we need to re-valuate the property 3 more times".... seems to be just more price gouging, not actually addressing real risk.
I agree with everything here. Just one thing I want to correct. I hope you mean "HR, Leadership, VPs, Directors, Execs and front line managers" when you used a common "manager" term. As a manager (and several others like me) I have never cared where folks worked from and I have a very strong sense of measuring work through deliverables (and I like others have also gotten it wrong at times). Where I get triggered when I see the blanket "M" word used - is every other part of the machinery that is demanding this setup is being absolved and the Ms are demonized. Yes there are inexperienced managers but most of the malice I have noticed came from either lack of coaching, or an environment created by those much higher on the pay pole! Why is the L word (leadership) only used when things are positive and not when things like this come up?
Whatever x-risk-style Effective Altruists' goals, if they run their organizations like The Nonlinear Fund, I wonder how long they are going to last.
This dude just dispenses generic "business wisdom". His posts could be ChatGPT generated and nobody could tell.
got to the free nerd wallet calculator

https://www.nerdwallet.com/mortgages/rent-vs-buy-calculator

plug in all the numbers given in TFA with this reasonable modification:

Increase in housing prices (rent and buy) exactly match whatever your inflation number is.

return on investment is 4% over inflation, and you pay 15% capital gains on it.

Lo and behold, the break even point is 20 years, after which buying is actually better.

tweak a couple of variables ... move your marginal tax rate up to what someone making 175,000/year makes in NY or CA and the break even point gets earlier.

Etc.

Real Estate doesn't have to beat inflation to be a good investment. It only has to beat inflation when the price it is being sold at assumes it will beat inflation in the future and has baked that in.

The article is drawing way too much conclusion from a small amount of observation.
My current internet provider doesn't support IPv6 so I'm good. I noticed that removing the AAAA records in the DNS configurations of my domains magically fixed a lot of weird network issues reported by the users.