skysight-inc/HackerNews huggingface dataset:
Would using cranelift frontend[1] with PyO3[2] be an option for you?

[1]: https://docs.rs/cranelift-frontend/0.105.3/cranelift_fronten...
[2]: https://pyo3.rs/v0.15.1/
The magic of Postgres (and, quite arguably, MySQL, SQLite, etc.) is simply the idea that a sophisticated RDBMS is ubiquitous.

I came from the Old Days when we had to chisel BASIC code into cooling silicon. Having something like a SQL RDBMS just sitting there, busy, or not, maybe just wasting away, ready for any weird nonsense you throw at it, is just a treasure.

I have postgres on my mac. I've had postgres on my mac since I've had a Mac, so, what, 2006? I still have DBs on there that are now pushing 17 years old (after several PG version upgrades). I have the space, no reason to delete them. Just there. Old projects, strange experiments, idle.

That I have this much capability languishing is amazing.

SQL databases used to be a Big Deal. They were large step up from hand coding B-Tree indexes. I remember once we got a call from a client complaining about performance on a system we installed. We popped in, took a look around, and, yea, we dropped the ball. Not a single index was created on their system. It was just the tables. No wonder it was slowing down. 10 minutes of mad index creation later, all was well.

If you weren't there in those days, it's remarkable that we had a system where indexes were (mostly) a performance thing, rather than a core thing the entire system was designed around. A paradigm shift in development.

SQL DBs were amazing. They were also rare, and expensive. Custom libraries to access them, etc. But also, generic query tools, no code to write to beat on the data, or dump out quick queries, just the SQL front end. Powerful. Capable. So, yea, I held them on a bit of a pedestal.

And I can now just let one of those things, with untold modern capability and range, just sit idle on my machine. Just like I can leave a Calculator window open. Waiting for whenever I deign I need to work with it some.

Extraordinary.
A road trip by random walk is also a kind of empiricism that can be tested. This does not imply it is worth the energy to actually do.
We had considered it, but we wanted to get some feedback from people before implementing any new features.
Wasn't the whole point of Java never releasing a 2.0 that there would never be breaking changes? Seems like something went very very wrong with Java if the state they are in is that the language refuses to make breaking changes and the developers refuse to take up the supposedly non breaking updates due to breaking changes based on the comments I'm seeing here. So the language never improves as much as it can and the developers never update anyway making the whole point of non-breaking changes moot.
It's clear that both biological sentient beings and sentient being made in factories in the future will essentially be two sides of the same coin, differing only in their physical composition. Humans today operate as biological AI, powered by cells, and the sentient beings instead operate on transistors. As we progress toward a future where both sentient beings exhibit comparable intelligence, emotions, and learned experiences, the distinction between the two becomes increasingly blurred. It wouldn't be crazy to think that we'll program a person made out of transistors to go through the same life as a biological human. In such a scenario, why should we consider the sentient being made of cells inherently superior to its transistor-based counterpart?
I'd expect 2 small pieces to weigh more than 1 big one.

So I'd expect you to see the weight go up faster than the part count.

Not sure if that would confound or exagerate the trend.
There’s actually less specialized parts these days, that’s what put Lego in trouble in the 90s, I think what GP commenter was referring to is a ton of the studs and cylinders and 1x1 diagonal parts that Lego includes, that are “fluff”. These parts are extremely cheap to produce, so you may have data that looks like price per part is flat, but in reality that’s because more of your sets are now from cheaper detailing parts.
Wet. Dry have issues due to heat management and failing seals that end up slathering the clutch in lubricants. It boggles my mind that an engineer would choose dry. I think the idea was to reduce costs. In Ford's case it resulted in a fairly nasty class action law suit.
The Narrowing Path (Of Language and LLMs)
You can get x86 chips designed for laptops in desktop form factors too.

It's not about Arm. All of Apple's M chips so far have been primarily designed for mobile use, and that strongly affects how the power usage scales. It makes a basic comparison of watts not very useful.
While there's a hard block on using emotion recognition in workplaces and educational institutions, the other cases you list are listed under "High Risk" and so they are very much included in the regulation.

There are several exceptions for different kinds of law enforcement, things like eminent danger, or doing biometric filters when searching for someone that fits a description. How much you can squeeze in under those exceptions depends on how bold the police are. Probably a lot, but it's not written that way.
There’s no reason better drivers drive more hours. You can be a shit semi driver. That being said, it’s an irrelevant comment. If it’s at average now this is the worst it can get and it’s already way above average.
> Mead: You know that you’re in control of it. The American attitude toward the machine is that it's something we make and it’s something we can fix. In fact, American men like it in a state of continual breakdown so they can fix it, I’m inclined to think. But, all the way, from sort of, futuristic and cubistic, kind of painting and attitudes in World War I, and after World War I, in Europe, [there’s] this fear of the machine. And either the dynamism of the machine so you and your plane dive to death, or some nonsense, or, that the machine was going to take over, was much stronger. But in the average American, this is not [the case]. And most of these people were Americans.

World War 1 brought death in Europe on an industrial scale, metered out by artillery and the machine [gun]. Might explain Europeans' attitudes to 'the machine'.
It's kind of funny, I got into buying random Lego knockoffs from alibaba, and they get around not missing pieces by putting a totally random amount of extra pieces in instead. I can usually make a small random person or statue with the random pieces left over from the actual model.
Does any of this matter when you have 5 million token input and can just shove everything into the input?
The same thing happens with PIC microcontrollers:

https://www.youtube.com/watch?v=UCXCLR3xq8U
> bored humans instructing bored robots to choose the inefficient path, to repair and not replace.

Repair is more efficient than replace! You're replacing something in either case. But in a repair, you replace less: only the part(s) that failed.

Reasons we don't (in many cases) are 3-fold:

1) Products are designed for 'easy'/efficient/cheap manufacturing, not to be easily repairable. "Repair-friendly" is often near the bottom on consumers' wishlist.

2) Manufacturers have become laser-focussed on that (successfully!), such that some devices literally cost pennies. Combined with

3) We value human time above machine/production time. So in most cases, the cost of [human time spent on repair] exceeds cost of [just buy replacement device].

Maybe "repair robots" will change that equation some day? Only if those are cheap & skillful enough.
> if (localtime(&s)->tm_mday == 30 && localtime(&s)->tm_mon == 2)

tm_mon's range is 0–11, so 2 is March, not February.
Licensing cost ?
The field is usually dated to a 1956 workshop at Dartmouth College. https://en.wikipedia.org/wiki/Dartmouth_workshop

Obviously it was building on earlier work.
People shut down their computers?

Are there places in the world where people have to actually care about the power consumption of their computer so much that this is a thing? Any examples?
In practice, Java is the language of legacy and Android.

Java 8 keeps working, while "modern" Java keeps chasing mistakes like green threads. If anything, I'm more baffled by 9+ having a non-neglegible market share at all.
But what a report can't do is change the direction of a company or org leadership that is making bad decisions that lead to impossible demands governed by politics as ultra short-termism. Having the freedom to fail any way I want, but not be empowered to succeed, is a uniquely "employee" problem.
Every measure of complexity is limited in some way. So they are all poor in various ways. That doesn't make them not worthwhile.

Total game states is one measure. What does it take to solve the game?

You can also look at the branching factor, how many moves are there to make on average. For chess, it's 20. For go, it's something like 300.

You can also look at how long it takes from a move to seeing its negative consequences. A bad move in chess is frequently visible in very few moves. You lose a piece. You lose an exchange. Often these sequences are virtually forced. By contrast, the consequences of a bad move in Go are usually not visible for 50 moves or more. And there is nothing forced about the sequence that gets there.

You can also look at how likely good players are to play similar games. Many chess games have been played over and over again. People sometimes play half the game out of a memorized opening sequence. By contrast, it is plausible that no Go game has ever been played twice on a 9x9 board. It is very unlikely that any Go gamme has been played twice on a 13x13 or 21x21 board.

You can also look at how big the skill gaps between humans get. In my experience, a 1 stone difference in Go is roughly a similar skill gap to 200 points of Elo in chess. A rank beginner who barely moves the pieces may have a 400 rating. No human has ever reached a 2900 rating. That's 12.5 levels. By contrast Go has 30 levels of amateur (kyo), another 9 for serious players (dan), and then the skill range among professionals is about another 3. That's 42 levels of fairly recognizable skill differences between humans. Which speaks to how much more there is to learn about Go than chess. (Even more so when you realize how much of advancing in chess is a matter of making fewer mistakes. By contrast advancing in Go is much more about integrating better principles.)

No matter how you look at it, Go is much more complex than chess.
> For the sake of illustration, I'll be using LaTeX. I know they are not the same, but since LaTeX is essentially a bunch of macros on top of TeX, and error messages come from the TeX processor (plus almost no-one uses plain TeX), I think my point will still stand.

That assumption is wrong. TeX has great error messages.

It simply cannot do much when you obscure everything with layers upon layers of general macros, like LaTeX.

But the normal plain TeX usage yields really good error messages.

And, of course, the article’s title is unsupported clickbait.
America Can't Afford to Deter Itself
What's the best that can be achieved with this method?
That did clear it up for me, thank you!
Getting mid 6 to 7 figures as a employee is almost exactly as hard as founding a successful startup.

The vast majority of employees at the largest, most successful companies, do not earn that much.
I don’t think it’s a given that people do. Also what does that have to do with the article?
Elon Musk on Racism, Bailing Out Trump, Hate Speech, More – The Don Lemon Show [video]
Do you realize that faang companies know everything about you already? With or without cookies.

Did you know that the bigger company is the easier it is for it to workaround those silly cookies limitations bureaucrats impose?

Did you look out the window recently? Did you notice any positive political changes after these stupid regulations took place?

What other evidence you need to admit it was a dumb and useless regulation? Even if it had originally a good intent to it.
You've phrased it well, especially because taxes are (to first order) deflationary, as the negative of government spending; tax revenue is effectively taken out of circulation and deleted from the economy, while government spending is (effectively) money that is printed anew.
Oracle JDK support is not the same as OpenJDK support (for both better and worse).
I think there are still open questions about this that are worth asking.

It is clear enough that following gradients of a bounded differentiable function can bring you to a local minimum of the function (unless I guess if there’s a path that heads away from starting location, going off to infinity, along which the function is always decreasing, asymptotically approaching some value, but this sort of situation can be prevented by adding loss terms that penalize parameters being too big).

But, what determines whether it reaches a global minimum? Or, if it doesn’t reach a global minimum, what kinds of local minima are there, and what determines which kinds it is more likely to end up in? Does including momentum and stochastic stuff in the gradient descent influence the kinds of local minima that are likely to be approached? If so, in what way?
you got a link to such inspiration? also, slightly over 100 years between the two.
Yeah so i didn't put it well, but that was literally my point. Feels very "developer brain" of us to say "thats technically possible, heres the math and you're thinking about it wrong" and not consider the human aspect.
I think you meant more affordable or less expensive?
Or even viable/possible at all.
proof left as exercise to the reader
They said the content of your comment was bad. That is significantly less "ad hominem" than your comment was.
"I'm unable to provide real-time weather updates as my data is not current. To find out the chances of rain today, you can check your local weather forecast through a reliable weather website or app, or tune in to a local news station for the most up-to-date information." - chatgtp
> Literally Everybody Not In The Bubble Of Working At Google

Trust me, Googlers would like our products to not suck, too.
Eye watering licensing costs. A small company I was at increased the number of cores on the SQL Server VMs, the CFO pissed off and fired a few DBAs, Microsoft audit ensues, and we had to find an extra $1MM in the budget for SQL Server licensing.
You mean like Things, which I bought in 2017 and am still getting updates for?
"How do you ensure the answer you get from an LLM is not a hallucination?"

Intent parsing and speech recognition both frequently return inaccurate responses. It is true that with an LLM it can return something that is sensible but invented, where other systems typically return less inventive wrong answers.

With any of these systems you want to balance the probability of an incorrect interpretation against the impact of the action being taken, and get confirmation based on that. That's pretty normal engineering and UX.
^^ this. As I've said to others, the math lines up looking promising, but now adjust for available time. It looks very different.
You need to do what you like the most. Dedication + luck and you'll have the best career. That was the way I became an owner of https://kittenproperties.com
I think parent comment assumes the DNS mapping is owned by the `.me` TLD owner, setting up an external contact that may or may not be hostile to owners of `.gov` TLD owner (the US), setting up a potential for nefarious activity.

"just a domain name" but MITM DNS attacks exist.
They also mention it right at the top of the article too. They aren't trying to hide it
Presumably for the eclipse.
I've been waiting for the competition to open up again, I think I have an entry good enough. There does appear to be some activity on their GitHub repo, but I have no idea when the next one will be. Does anyone here have any gossip about when the next one might be? Wild rumor would also suffice.
Further on this - there's a more modern project that is trying to get the original experiments working on iCE40 FPGAs now:

https://evolvablehardware.org/
NASA has thousands of times as many studies and proposals as they do projects.
It's pretty nice, the tutorial section, the api examples, all good.

Also, after many-many years I still very much dig Node API documentation. The API surface is not tremendously large, the docs not only cover the functions themselves, but sometimes have some discussion-like sections, implementation notes, etc. It's a bit chaotic, but in a good way in a sense that all the information is right here on a page, and you don't need to do lots of digging through different documentation channels to figure things out.

Being able to put all the docs on a single page is great for search, and I really appreciate that after all these years with all the additions Node still seems small. It's something you can learn quickly and get some work done.
Article suggests there’s a 1:1 relationship between population size and number of housing units needed. A unit could have 1 person living there or 10. So you can very much have a housing shortage without changing the population size.

The United Kingdom household sized dropped to 2.36 in 2022, that’s the core issue here.

By comparison the US is at 2.67 vs 3.51 in 1950, 4.34 in 1920, and 5.55 in 1850. https://www.studycountry.com/wiki/what-was-the-average-famil...
A game controller I worked on was accidentally sensitive to physical strain.

We discovered this after the first prototypes/consoles were sent to early reviewers. They kept seeing weird in-game behavior no one could replicate, even when affected reviewers tried to demonstrate. Turns out they were gripping hard enough to minutely bend the PCB during intense moments in games, which created voltage spikes the software mistook for button presses. You needed to be angry to replicate.
What I like about programming (real programming) is that it is dumb and obtuse. You can see why things happen. Because the instruction languages are painfully literal. They will throw their hands up if you omit a step. Or crash.

You can understand it.

That’s why I dread the AI future.
in my professional experience it's hard to exactly comply with the cookie laws of Europe when using recaptcha.

that doesn't mean it's a "nightmare" imo - it just means it's on par with a lot of online services. it's definitely one of the more problematic legal ones within Google's portfolio. but in the real world IMO the privacy risk is minimal to actually harming anyone.
There are plenty of superstitions that are perfectly falsifiable. People continue to believe in them for comfort. For example, wearing odd socks to a sports match helps your team win. Or, leaving a fan on overnight might kill you.
We were on Oracle for 15 years. Then the license costs became too burdensome, so we moved to Postgres. Though, it took us two years to make the move. Postgres is amazing compared to Oracle. Faster. More standards compliant. Better error messages. Far simpler to do backups and replication. Etc. Etc. It is quite astonishing how much better Postgres is than Oracle.
I know this is probably extremely surprising for you, but some people do the little things which help the environment even if it causes them mild inconvenience.
And https://dynalist.io/ is in a very similar vein
Open Salamander is a fast and reliable two-panel file manager for Windows
What do you mean with legacy mindset? The polestar 2 also contains many million lines of code, besides the software running carplay/android car.
I haven't personally used this, but many folks on HN also like that there's an open-source, self-hosted implementation of the control server. https://github.com/juanfont/headscale
The article claims a 10k cycle limit for common-grade torsion springs (but again, I'm skeptical). You can design a spring to have infinite life. Still, you must constrain yourself to specific materials (steel and titanium being the most common) because most materials don't have an infinite life on an S-N curve.
Researchers develop 3D-printed wood from its own natural components
Very cool! How is this differentiated from ChatGPT voice?
Apple Rewriting the Patent Rules
MCaptcha: Proof of work based, privacy respecting CAPTCHA with a kickass UX
It'd be awesome if you can emit/ingest Markdown. That way, Todo can act as a different frontend to what essentially amounts to a bunch of files that I can then view via a different app.
> It is a problem of government funding, though? Isn't it more of a legal and political problem?

Throw enough money at it and it doesn’t matter /s

The reality is that it’s obviously a political issue. But I dispute it’s “simply” a NIMBY issue. I think it’s a political and social issue of a different kind -inspirational and aspirational.

The space race was a crazy time in America and all Americans wanted us to build a rocket even if it didn’t really do much for the average Americans life. Most Americans don’t care about transit, like you said. Transit is a hard issue but it’s not a big TV spectacle type issue, nothing to brag about, just a slow persistent grind.

I don’t think it has to be that way. For example, myself, and a bunch of coworkers and friends have recently visited Japan on independent trips. After doing so, everyone said they wished America built trains like the Japanese. It’s simply that Americans aren’t familiar with good trains and what that can mean for QoL. Japan has spent a ton more money, as a function of GDP, and a ton of that went to their citizens’ QoL. If America was racing USSR to build the world’s fastest cross-country bullet train, I think more Americans would support it, and every town would be clamoring to have a stop on the “freedom rail” (or however it was spun). Which is a shame, because trains would improve the QoL of a lot of people compared to rockets.
You’re saying this like it’s a “gotcha,” which makes me believe you’re confusing OOP-as-practiced-in-enterprise with OOP-as-invented-by-Kay.

The sad truth is that most great ideas are doomed to drown in a sea of mediocrity and misinterpretation.
The fundamental disagreement I have with the post is the idea that you're foolish for doing something because it probably won't pan out.

So what? Why be so terrified of failure? I think it's better if kids learn to be brave, and pick themselves up in life after they stumble. Living life in utter fear of failing at anything seems like a terrible way for your children to start off life. Besides for which few things are better learning experiences than trying to start your own company.

And who knows. They might even succeed beyond their wildest dreams, as some do.
Hm, no. To start, cells are able to replicate themselves, whereas most silicon used today is not even close to doing so.

The story you suggest seems to be built on a limited understanding of the processes involved. It's pretty hard to predict the future, especially given incorrect assumptions.
I've been using this for a few days and really like it. Plus 1 for macros
also related:

https://news.ycombinator.com/item?id=39713111

https://www.tomshardware.com/tech-industry/artificial-intell...
What is "rich"?

There are tens of not hundreds of thousands of people who could retire comfortably after working at Google, Facebook, Apple, MSFT for a decade during their growth years. How many startup founders can do that?

Sure, becoming a billionaire is a different story but who cares?