skysight-inc/HackerNews huggingface dataset:
Yes, it covers them. Hence it's not orthogonal. The fact that there are two agreements doesn't make them orthogonal. Many situations are covered by more than one contract (or law or regulation).
> As technology evolves, humans lose their capacities as their tools get better.

I don't follow this argument. Did humans become LESS capable when they invented a hammer?
Which 2024 Toyota gets 10mpg?

For example, the formerly beefcake Landcruiser went from a beastly guzzling v8 in 2021 to a weaker v6 in 2022-2023, and now, in 2024, a weak 2.4L supercharged 4-cyl sipper.

R.I.P. Landcruiser of old, you were an ultimate vehicle in your category.
What sacrifices are you making to the lifestyle you want to have “to save the earth”?

And no one can answer the question of how my flying in a plane that was already going to fly reduces emissions.

I could also clutch my pearls and say people who drive into work instead of choosing a job that allows them to work remotely and refusing to be in an office would help climate change.

Of course that would be silly and self serving. I bet everyone criticizing me would love to be in a position to have unlimited PTO, work remotely and be able to travel more.

Not that we are rich - we are 50, empty nesters, downsized our home and moved to a state tax free state along with other fixed cost saving moves
> He walked out of Japan

Even better: He escaped by hiding in a music equipment box that was carried onto a private jet

https://www.bbc.com/news/business-57760993
It's nonsense. First he has the dramatic "fighting the good fight" theater, then the "shocking things his brave actions have found" bit.

All claimed without evidence or explanation. Maybe he's found a Y2K problem.

This wouldn't pass a reality TV script editor, yet this is our federal government.
Yeah but this also doesn’t read like something that pretends to get into the underpinnings of AI.

It’s about the friction that AI removes from making things and the discomfort with what that might mean. This point is fair and your take on productive people is reductive. People aren’t 1:1 factories.

I’ve been watching my spouse participate in a seriously intensive prestigious typography course. It’s quite fascinating to watch how a part of the process involves slow walking through all of the tedious hand lettering stuff. Like mr. Miyagi level training. The depth and complexity of things they’re discovering and learning at a deep level by hand is quite enlightening. It would not be possible to convey other than by this process - to understand how to design typography you basically have to practically engage with how it was in every other earlier historical period.

I believe this is the essence of the point of the article - that working through your ideas by hand involved lots of friction which was valuable in training you how to slow down your thinking. And now that is being done away and everyone can fart out nuanced BS and disregard anything that is more than a paragraph long.
I share your sentiment about the experience developing with AI.

But I've been playing with the idea that the concerns and gaps you've listed, can just be explicitly communicated with the AI.

If you're concerned about weighing options, just tell the AI that exactly and pair with the thought process iteratively.

For all things AI, one of the most useful things I say is "ok give me the best practice for X" and then "ok what about the contrarian view. show me that. what are the downsides, what about stuff we don't know we don't know"
Sadly, yes. But US traditional conservatives aren't really separating themselves from the MAGA parties enough. So in some ways this is self-inflicted.
You raise an interesting point.

What would this declaration mean for free and open source models?

For example Deepseek uses the MIT License.
> I'm skeptical of demand-based parking pricing after a local entertainment company started using it. $5-$100 for parking depending on how close the lot is to the venue moderated by big TV screens on each lot.

So what's wrong with this? I think most people would opt for the $5. If that's the case, that's where people would park. As incentivized by the parking structure. I don't see a problem. The lot operator can change their algorithm, and parking consumers will respond according to their value curve.
AI is quickly blurring the line between makers and curators.

If the next wave of advancement in logo-generating AI will allow us to converse with it meaningfully and work with it as a creative director might work with her associate designer, is it really a fatal flaw that the AI is not able to conjure up an editable PSD file? Is it really necessary that the AI produce a pile of sketches that led to the final product instead of working backwards from the final design to fake a trail of inspirations?

As curators we still need to slow down and take our time to ensure that the design we select is a good fit for whatever requirements we're working towards. I don't think a blazing fast AI necessarily erases that or takes that option away from us.
If you can look at the past to predict the future, you should be a trader, not a developer.

I.e. because it was wrong to say X in the past doesn't mean it's wrong to say Y today, even if you find some similarities. Doesn't mean it's true either.

So let's ignore such worthless arguments and have a real discussion, shall we?
yeah i was going to suggest the same... there are companies that do this, and honestly anyone with a little cash will lend you the money assuming the stock isn't a totally ridiculous thing.

How are the RSUs managed? Are they in a brokerage account? You may well be able to borrow from the broker.
RVVM: RISC-V Virtual Machine
Low sample count for me, so I guess I'm lucky I've never seen this. My first thought would be the same as OP's: This smells funny. Generally whenever you have to pay your employer to get paid, something foul is afoot.
Neat! I'm working on a self-hostable platform to host my deno apps (https://smallweb.run), I wonder if I would be able to your framework on there.
4g is more than enough on mobile.
Is it? To me it seems like Ruby is declining [1]. It's still popular for a specific niche of applications, but to me it seems like it's well past its days of glory. Recent improvements are nice, but is a JIT really that exciting technologically in 2025?

[1]: https://www.tiobe.com/tiobe-index/ruby/
I think there's a humour to C++ being like Python in that, left alone, the language's community will almost immediately try and stuff as much syntax as possible into the language.

The difference is how much power the community has to turn these syntactic fever dreams a reality. With C++, you get first-class stuff like the STL and even the C preprocessor, and now reflection. With Python, it usually comes down to magic method abuse (see pathlib's use of `__div__`), maybe messing around with metaclasses, and the PEP process (though I think they're pumping the brakes at this point -- walrus was fun, but I really hope PEP 750 doesn't make it in, and it seems to me that it'll stall).

You technically have `ast`, but that'll only go so far since unless you really go overboard with your hack, you still have to write valid, parseable Python before `ast` will ingest it.
I would much rather work than not work. Many other people are the same. If I don't have a job, I will work on my free time. I enjoy it. I don't have to work for a living, but I have to work to be alive.

There are many people like me, and we will be the ones to work. It won't be choosing who has to work, it will be who chooses that they want to work.
What your exact issues with quod libet? As someone who's main criteria were (1) replaygain support (2) good album artist sort and (3) simple interface, quod libet is where I landed.

What are the own goals you speak of?
You can trade your time for goods, but others might trade money for time. Something to think about maybe.

Free Shakespeare in the Park is a New York City civic tradition dating back to the 1950s. It is, as the name suggests, free to the public, but because Central Park’s Delacorte Theater has a finite number of seats, tickets are given out on a first come, first served basis. Some folks, who either can’t or don’t want to stand in line to get tickets, have taken to employing line-standers to do the waiting for them. According to Sandel, the price for a line-stander in 2010 was “as much as $125 per ticket for the free performances”
Surely we became less capable at solving that problem without a hammer.
I do it only for long articles. Not interested in converting fiction into audio books unless the quality rivals that of real storytellers.

And, you know, this is not a service I'd provide others. Just for my own use running from my PC. Audible won't know or care, just as no one cares if you borrow a book from the library and photocopy it for your own use.
Any examples you could share?
Okay, but this obviously isn’t the same as that.

C compilers emit assembly as a direct result of the code written.

The same compiler given the same code will output the same assembly. This would be true for LLMs if you set the temperature to 1 and fix the seed, but you lose the benefits of language models at that point.

There are guarantees about the behavior of a compiler which can be verified by examining the code for the compiler.

The same is not true for language models. They are statistically based all the way down.
Shouldn't you only touch your YubiKey when you've just done something that you know requires you to touch your YubiKey? Otherwise, you're just authenticating anything that asks, including the virus.
True that the company needs to follow regulations. But they could do "net exercise", or "sell to cover". Instead they choose "pay cash or forfeit" path.
(Again, not an accountant, I repeat that because I might be wrong and I'd hate anyone to suffer because of that..)

There are a couple of different risks here. One is that you pre-pay the company for more than the FMV ends up being; it sucks, especially with interest rates being as high as they are, but you'll get the money back with your tax return filed next year.

A different risk is that the price is spiked high at the moment the FMV is determined, and then falls before you're able to sell the stock. This would leave you with a short-term capital loss which you'd only be able to claim back at $3,000/year - https://www.irs.gov/taxtopics/tc409#:~:text=If%20your%20capi... - unless you have other short term capital gains in the same year to offset it against.

Has the stock been volatile since the IPO? How does the daily trading volume compare to the number of shares that will exit lockup on 3/15? If I were in your shoes that would inform my evaluation of the risk.
Yes, while there is a large amount of uncertainty, it is believed they the majority of the highest energy cosmic rays are nuclei of elements like iron. For people like me, in the business of finding high energy neutrinos (I'm not involved in km3net, btw), that's a bad thing since that means the highest energy cosmic rays convert less efficiently into neutrinos when interacting with the cosmic microwave background.

How they got so much energy in the first place is kind of an open question. Generally it involves magnetic fields and shock fronts, getting a little kick each time (but yes, you also have to avoid disintegrating the nucleus in the acceleration environment!)
The Overuse of Browser Engines in Desktop Applications
In what way is a hammer an intellectual tool?
and that's a totally valid concern :) So far I only wish to check the concept in general (ie: "does it work"). As for "does it work fast / at scale", definitely a future topic.

I do wish to elaborate: since we use JSX/TSX, in theory we can in-line as much as we'd like. Here I include CSS in the component itself: https://github.com/fullsoak/bun-examples/blob/main/src/compo...

So it can be just 1 HTML resource + 1 js file for every unique path.
And with preact-iso (or react router) we can make subsequent pages load on-the-fly without a hard browser refresh / hard resource reload. Like so: https://github.com/fullsoak/bun-examples/blob/main/src/compo...

But ultimately: I do see rooms for improvements re. resource optimizations. My personal wish is to use standard web specs such as "preload", "prefetch", "server push", etc. to optimize as much as possible, without taking the "bundling route" - so: just exploring a different taste, not that I have anything against the existing "build routes" :)
How small are we talking?

One problem is that many Canadians move away from those smaller cities because there aren’t jobs that pay well, yet that smaller city isn’t significantly cheaper to live in.

Nobody I meet is from the major Canadian city I live in now. Maybe it’s a fluke, I have only met so many people, or maybe us outsiders just managed to find each other.
I can still do integrals by hand. AI isn't the ultimate tool, it still can't do basic proofs and it's not doing neither automated proofs using a proof assistant language. Everytime I see someone say something like this I assume they do pretty insignificant work.
It's true—bodyweight (including obesity more specifically) definitely seems to be a multifactorial condition. I did suggest that portion size could be an identifiable 'root issue' in some cases, which is not completely accurate nor fair to say.
Thank you for the support! Getting a polished production app can definitely be challenging if you're using just the AI. Depending on the quality bar you're going for we expect the user may need to do some coding themselves if they're struggling with the LLM. We think there are alot of apps that can be made and can make money with just the LLM today and expect to have users who are just using the LLM and also those who are willing to code themselves. As we build out more non code-gen features our offering should get more appealing to that second group of users.
I'd suspect some sort of economic factor, or sampling … e.g. just people with lower specs submitting and bringing down the average
there's 4 which has a couple different component

* battery life is a lot higher than it used to be and a lot of devices have prioritized efficiency

* we haven't seen a ton of changes to the high-end for CPU. I struggle to think of what the killer application requiring more is right now; every consumer advancement is more GPU focused
cloverich described the theory. In practice, if enough people loosely band together to flag, they can mark an entire story as flagged. As of late, almost every topic related to Elon Musk became flagged, so I wouldn't be shocked if there's a more dedicated brigade for this (as well as a mix of the usual "I don't want politics in Hacker News" crowd).
Given countries at the time were all monarchies with limited rights, I'm not sure if it's too comparable.
Damn that’s sad.
> Yes, they do

To clarify: veggieroll said training models wouldn't be viable, you said it'd just require licensing like everyone else already manages, I said most other cases don't use millions/billions of works, you're saying that yes they do?

I feel like there must be a misunderstanding here, because that doesn't make much sense to me. Even for making a movie, which I think would be the most onerous of traditional cases, the number of works you'd license would likely be in the dozens (couple of pop songs, some stock images, etc.) - not billions.

> Let's not pretend these companies can't do this through normal channels

I'm not sure that there really has been a normal channel for licencing at the scale of "almost everything on the public Internet". A compulsory licensing scheme, like the US has for cover songs, could make it feasible to pay into a pot - but again I'd really hope for model training to remain accessible to smaller players opposed to just "meh, OpenAI has billions".

> but it's pretty clear from Deepseek that you don't need 82 TB of data to be effective.

As far as I'm aware, DeepSeek is not a low-data model. In fact, given China's more lax approach to copyright, I would not be surprised if the ability to freely pass around shadow libraries and large archives of torrented data without lawsuits was one of the factors contributing to their fast success relative to western counterparts.

> If we need that much data, there are clearly optimizations to be made.

I don't think this is necessarily a given - humans evolved on ~4 billion years worth of data, after all.

> Yet they will sue anytime their data is scraped or otherwise not making the money. Maybe they didn't put trillions into lobbying like others, but they definitely have their fair share od using copyright.

I believe lawsuits launched by or fuss kicked up by model developers will typically be on a contract basis (i.e "you agreed to our ToS then broke it") rather than a copyright basis. Again not to say these tech companies are acting in any way except their own self-interest, just that they've generally been more pro-fair-use than pro-strict-copyright on average to my knowledge.
Agreed! Many complain of a inefficient government and that’s silly because the US gov provides very little compared to others. Most of what is provided to us in America is private; health insurance, pharmacies, doctors, education, retirement, lack of corporate social safety net, (PTO, sick, vacation, parental leave, etc.), utilities/energy, and most of these private services are inflated, inefficient and unresponsive to US citizens needs because these private industries have bribed their way into crafting laws that protect them and keep their foot on our necks. US Corporations profit the most and we get the least for the maximum cost. This is by design. It’s a feature not a bug.
It's everywhere and it's the worst. I sometimes ponder whether or not the volume of protobuf bytes represented as b64 encoded protobuf in JSON exceeds that of actual protobuf bytes sent over the wires of the internet, and then I pour one out for myself.
I very much doubt that is the cause.
People are buying more HP Streams and fewer ASUS ROGs than in previous years?
That's because you're beginning with the assertion that LLMs are tools. You cannot create things with an LLM. You can't be creative with them. They are not useful for building things. What you get out of an LLM is a regurgitation of existing information, peppered with assumptions based on your query.

They're not tools.

A hammer helps you build a house. An LLM helps you read StackOverflow in the most inefficient means possible.
I still believe it's not the same, but even if it was: actively trying to improve yourself this way makes you less productive.

We are going towards a world were it is not acceptable to be less productive. You will be told to do that in your free time, here you need to produce as much as your coworkers.

AI changes programming into assembly line work. It's more productive, but it loses 100% of what makes programming interesting to me.
I have encountered the infamous

> The compiler is unable to type-check this expression in reasonable time; try breaking up the expression into distinct sub-expressions

a lot. And it’s impossible to debug.

https://developer.apple.com/forums/thread/652691
That guide book was genuinely amazing, it was easily the best-written technical document of any kind that I had read.

The security is dialed up to 11 as well. It explicitly calls out the following scenario:

1) The plane is leased.
2) the maintenance is outsourced.
3) The plane at an airport in an "unfriendly" country.
4) The plane is not allowed to take off until it is patched due to an emergency directive.

That scenario is handled, securely!

There is encryption between the plane and the airport WiFi.

The maintenance crew can also plug in to an Ethernet port near the front landing gear.

There is a VPN back to the patch server managed by the airline.

The VPN host certificate is explicitly whitelisted in the plane.

The plane won't accept a patch unless it has been digitally signed by Boeing, the FAA, the Airline, and potentially the manufacturer and the local equivalent of the FAA!)

The pilot has to enter a 4-digit pin code in the plane.

Most of the associated wiring is only physically connected if there is weight on the front landing gear. You can't "hack" a plane in-flight and patch it with malware, the required cabling isn't connected.
Sadly, TSLA is more or less a meme stock built up by Hype. No one wants to pull out and lose the hype.
This, but all civilized society.

Vaccines are a great example.
This is the case for some of the most amazing and out there developers

but sometimes, you get someone who really gets into a small niche in gaming where their other interests are far flung elsewhere, like the ever lovely MOTHER series by Shigasato Itoi
Govt Workers Retirement Papers Processed Manually Underground in Limestone Mine
this is a question:

> is deepseak's use of PTX instead of CUDA relevant here?

this is a conclusion/assumption thinly veiled as a question

> Deepseek R1 doesn't use CUDA, so ... it isn't a big deal?

note, genuine questions don't already presuppose an answer.
Even that has downsides - they are effectively guaranteeing a large sale right at the end of the lock-up. It's hard to know if investors pushed back on that or from where the pressure came. This stuff is more complex than it seems, companies are rarely just being d*cks.
From a non expert point of view, it’s about bringing in so much dead code. Like support for every os audio subsystem for a graphic app, or the whole sandboxing thing while you’re already accessing files and running scripts. Or even the table and float layout while everything is using flex. All those things need to be initialized and hooked up. At least Cordova (mobile) runs only on the system web engine which was already slimmed down.
>But it really feels like I didn't improve my skills by doing it.

I dunno hey.

I used ChatGPT to teach me python. I had a similar experience, except I started with "This is a project to teach me python" and now I feel comfortable enough that I barely use ChatGPT, except for when I get to a sticky problem, and need something to bounce ideas off. In fact I get pissed off now with the amount of time I spend correcting ChatGPT in larger projects that I never bother to show it the whole code anymore.

However I was working on plugging an arduino into my nonsense, and I did have it almost completely write the C code for that end of the project. But I am going to upgrade my Arduino shit this year and will be approaching it the same way, this time you teach me the arduino mister GPT.
Exactly. Being a lamplighter at the time when cities were illuminated by gas street lamps that needed to be lit, fuelled, and extinguished manually was once a stable and respectable career. Wherever cities began transitioning to electric lighting which was far more reliable and brighter the role of the lamplighter became obsolete.

They organized protests, strikes, and sabotaged the electrical systems because their livelihood was threatened by a given tech.
Something you're never told when you're young is that life WILL take things from you, will never return them, and you'll never be the same.

You don't know how much, when, how or why, but it will happen. I consider someone blessed if they make it to middle-age largely "intact."

When you're young and unencumbered and largely undamaged you need to use that time in any way you can; inevitably you'll end up "walking wounded" one way or another--less than you were--unable to return to who you were before whatever(s) happened.

When I was young I'd encounter older men that struck me as "defeated", tired, incurious, dismissive, and I'd never understood why until the last ~half decade or so of my life.

I really think human "life" and vitality is something that does get "spent", often against your will.
I'm not sure how effective it is, but I have heard of the concept of "rage spending". buying a product with the intent to enrage social or political opponents.

The idea makes sense, but these days people make it so blatant. So the merchant can make it feel more like a grift than simply trying to appeal to an audience.