skysight-inc/HackerNews huggingface dataset:
I've read before with interest the phenomena discussed in this article, and I find it fascinating. This is one of the better-written about it in my opinion.

It seems like it should be possible to model this along with surveys of media consumption, at the individual level? Maybe I'm mistaken in this impression but I imagine some of the larger social surveys track news consumption habits. Of course that assumes they're accurate reporters, which might be problematic.
Bitwise operators work on numbers. That's against the rules.

And while division can be implemented as repeated subtraction, you are not going to find any CPUs 4 bits and up that don't have an adder. It would be ridiculous to try to handle addition/subtraction in software.
Don't get me wrong, I love Python, and I've been a user since the 2.4 days. You brought up plenty of good reasons to use it - and my own rule of thumb is to rewrite a shell script in Python once it goes past 100 lines.

My point is that Lua-the-language provides similar expressive power to Python-the-language (including basic stuff like lookup tables), while remaining smaller and simpler to understand than the POSIX shell. It's also simpler to vendor than Python, and you probably want to vendor this kind of stuff to avoid the pain of bootstrapping / circular dependencies.

Now I haven't built a build/packaging system like xbps or apk (few people did), but I've been in charge of devops/releng at work for a decade - and if I learned anything at all, it's that it's better to start with the simplest tool that can do the job, and slowly add what you need. E.g. I wrote a tool in 2016 to replace Ansible in my team, and all of this time it's just been doing its job: <https://github.com/rollcat/judo>. Turned out nobody actually needed the kitchen sink.
[Cuba Libre Cigar Co. stands by, ready to assist]
Outright monopolistic pricing is also "the market rate". Frankly, virtually any price somebody is willing to pay is almost by definition "the market rate". It's a meaningless defense for an artificially high price.
I imagine that the tests wouldn't go away completely, they might just be modified to make sure that a faulty Juul or other vape box doesn't cause them to burn. But probably nothing would change for several years, because just because you outlaw cigarettes that doesn't mean people are going to quit overnight.

And then if you outlawed vapes then I'm sure there's still some other fire hazard to worry about and they would modify the tests again.
> This is an important topic, probably not an HN topic but still it is important, and the topic isn't "perceptions of the economy and crime" is "ability to discern discourse from propaganda"

Arguably it's the same problem on HN
The counter argument is that they won't be able to sustain those gross margins when the market matures because they don't have an effective moat.

In this world, R&D costs and gross margin/revenue are inextricably correlated.
I especially see limit in demand for number of models. Eventually you have good enough models, and then you need less training and thus less hardware.

Also Nvidia's profit are based on the margins. If there is less demand, there is most likely less margins unless they limit supply. Thus their profit will go down either as they sell less or they profit less per unit sold.
Notably, the benchmarks don't compare to existing models on image quality, which is hard to measure outside of the Image Arena-style tests.

The release is more about the multimodal captioning which is an objective improvement. I'm not a fan of the submission title.
As an American I think it depends on how the tea is made. I have a kettle, but I steep in a tea cup rather than another dish to wash. So by standards of decorum I put milk after the tea bags are removed.

I put cream at the bottom of coffee cups before the machine puts coffee in about half the time, though. I have a lot of family in Britain.
There should be a blocklist for MTAs that blocks others for no reason and all "free" MTA should use these to put a little pressure on those.
>This is a problem with LLMs

It's a problem with people using LLMs for something they're not supposed to be used for. If you want to read up on history grab some books from reputable authors, don't go to a generative AI model that by its very design can't distinguish truth from fiction.
I think the theory is that every car that has an FM radio has it tuned to something. So no matter what, as soon as you put on the FM radio, it would have the audio.
> Approximately 99.999% of those complaints are uttered by people who 1) are not doing the work, 2) are not interested or capable of doing the work, and 3) do not understand or refuse to acknowledge that the Wayland and X developers are _mostly the same folks_ and they _do not want to work on X11 anymore_.

It's clarifying if you simply say "users."
More moden take https://immersion-cooling.thermaltake.com/
This is blogspam of https://github.com/Jiayi-Pan/TinyZero and https://nitter.lucabased.xyz/jiayi_pirate/status/18828393705.... This also doesn't mention that it's for one specific domain (playing Countdown).

See also https://news.ycombinator.com/item?id=42819262.
So, I'm guessing that this new model won't produce images of Winnie the Pooh then?
>> ...to the company, I was just a row in an Excel sheet.

TL;DR it won't make you feel better but you're not a row in a spreadsheet; you're a fungible generic resource.

<For all but the smallest organizations>

At a certain level and/or for specific events, executive leadership is playing checkers not chess. You see this in overall staffing, budgets and lay-offs. Your executive is tasked with very excel-like tasks, such as "cut n people" or "trim your budget xx%". They then get political and attack specific initiatives or teams, or peanut-butter it across everyone. By definition they need to work at a generic level to "scale". When it gets to selecting the actual people, it's either done by the people who DO know individuals but you might not have credibility and a good reputation (or worse, they actively target you), or at an even less related metric, like a calc that provides the perception of "fairness" (true story: I saw HR try and calc how much "experience" we could get for each dollar of salary). IME only if it's a very small layoff (~ < 10-15%) and selected by the front-line manager do you see the high performers saved, and it's still political.

Context: I report to the CTO but still have lots of direct interaction with ICs. I struggle to meld these worlds at the intersection almost daily. I've been involved it doing the lay-offs at two companies.

Aside: there are TWO failures in doing what is the incredibly unpleasant job of laying people off:

1. Everyone knows you only get one lay-off before it's all over. After the second round nothing gets done. You almost always hear "this is the only round" and I believe leadership actually believes this, there's just know way they can know for sure.

2. Botching the order of operations. You need to get your sh!t in order and not do stuff like send out the laptop return courier before the announcement, or cause extra panic and confusion with timing and poor messaging. Ignorance, Incompetence or Schadenfreude; I have no sympathy for less than perfect behaviour and execution here.
HN moderation outsourced to FB? /joke
ChatGPT will do the same for some topics, like Jonathan Zittrain.
(2016) - the NIST Peanut Butter now costs $1,217 (https://shop.nist.gov/ccrz__ProductDetails?sku=2387&cclcl=en...)
it is not in the SMTP RFC because it is a purely local matter that does not affect email routing.

there are a number of servers that support it. wikipedia lists some if them:

https://en.wikipedia.org/wiki/Email_address#Sub-addressing
> Stick to your contract hours. If your contract says 40 hours, work 40 hours—no more, no less.

Why not work less?
"hyperreality" -- a mainstay of USSR's new media, but used and abused by the US MSM. Fox News took it to new levels.
There is a theory that Deepseek gives based on it's distillation process that hints towards, that o1 is really a distillation of a bigger GPT (GPT5?).

Some consider this to be spurious/conspiracy.
Yes; to my understanding that is MoE.
This is the kind of overly dramatic thinking that leads to stock market plunges.

China is an enormous country. It has over 4x the population of the USA. Unless you assume Chinese people are fundamentally different, it should be producing 4x the output in every field vs America. Yet the impact and legacy of communism is dire: China clearly isn't even close to 4x the productivity of the USA. How many companies on the leading edge of AI does the USA have? Meta, OpenAI, Anthropic, Google, NVIDIA, Cerebras, X.ai to pick just a handful of thousands.

Meanwhile Europe has produced one, Mistral (or two if you count DeepMind), and China has produced one. DeepSeek meanwhile, despite being impressive, has been doing the usual thing Chinese firms focus on of rapidly driving down the cost of tech already proven out by companies elsewhere. They have a long history of doing this and it's something they take cultural pride in, but at the same time, Chinese tech executives do worry about their relative lack of leading edge innovation. The head of DeepSeek has given interviews where he talks about that specifically and their desire to change attitudes and ideas about what Chinese firms can do, because there's a widespread cultural belief there that the Americans go from 0-1 and the Chinese can go from 1-10.

It's also worth remembering that prices in China are artificial. It's a somewhat planned economy still. Sectors of the economy with military relevance are heavily subsidized and they play games with their exchange rates, indeed perhaps in an attempt to forcibly deindustrialize the west. Just because something is made cheaper there doesn't necessarily mean they're doing it better. It can also be that they're just subsidized all the way to do that, and the average Chinese citizen is the loser (because they can't afford to buy things that would otherwise be affordable to them).
> A lawyer signing off on something, at least theoretically, means that someone has read it, understood it, considering how it pertains to [whatever], and can stand over it.

How often does the lawyer/judge actually read everything as opposed to trusting the work of their paralegals/clerks?
OpenGL flipping is iirc the weird name nvidia gives for vsync. Disabling it means you're going to have tearing artifacts, hence why it's not the default.
Racket has been on my bucket list of languages to learn. Seems really intriguing
https://techcrunch.com/2025/01/27/meta-ai-can-now-use-your-f...

https://www.theverge.com/2025/1/27/24352992/meta-ai-memory-p...
I recommend https://cryptography.io/en/latest/ as a way to use openssl library instead of the command line.
You can buy GPS cellular trackers. Then just get a really cheap or even free IOT sim.

Alternatively you could probably just walk to your nearest drug addict hangout with case of bottled water and ask them to stop breaking into your stuff.
> What do I as a reader want the answer to be?

Whatever he feels. Would he do it again?
What code language to learn at first
I have toyed with Vanilla JS in the past and like the syntax, I have also looked into Python. I do not have a specific niche I plan to work in just want to be well rounded. What would you all recommend I learn first?
Totally. Good thing we in the US have people like Larry Ellison working on Stargate so that we don't end up with this tech in the hands of a surveillance state!

https://arstechnica.com/information-technology/2024/09/omnip...
This is a tough environment for startups - exits are very difficult:

Big companies and limiting acquisitions due to antitrust fears.

Wall Street has little appetite for IPOs.

No more zero interest rate policy.
I used to have that tank.

Biowheel filtration is the only way to go.
N=19 (and likely N=18 etc) could also be more uniform if it already jumped to M=2, so that it would be like N=20 except with five points on the inner ring. Or maybe with six on the inner and twelve on the outer. Would probably be fairly easy to turn this into an optimization problem if one wanted a really uniform distribution (eg. distribute points on rings such that some sum of squared distances is minimized).
That's true enough. The problem is that they quickly turn into echo chambers where "is an expert" means "shares our opinions." Once these communities become established (in academia or industry), the appetite for novelty and innovation drops sharply.
ScopeDB: Manage Data in Petabytes for an Observability Platform
right. that's very frustrating. just a few days ago i had to create another email alias because of it.

+ was always a legal character, right from the first SMTP RFC 822
People are vastly overestimating network effects when you and your peers have similar experience and backgrounds. You'd likely get the job anyways, and the job probably isn't that great (in terms of upward momentum) to begin with.

As someone who's done hiring look at the people who have a list of good references. It's basically just the same position/level for _years_ because that's all your network can give or feels comfortable giving you (why would they give you a better job than they have).

It's a socioeconomic trap.

Just job hop. I promise you nothing else matters.
The government already does this.

SNAP, colloquially foodstamps, can only be used on certain forms of food. Frozen goods are fine, but cannot be prepared hot, even if there is not a charge or it is the exact same food product.

So my local corner grocery is allowed to sell anyone frozen food, whether they pay with SNAP or cash. But they also have a microwave that anyone can use to heat up purchased food, except for SNAP buyers. It is interpreted as unlawful for a SNAP recipient to use that microwave to heat up their subsidized food at the place that they bought it, so there is a government policy, enforced at the point of sale, severely restricting the use of SNAP.
Shouldn't matter what you have as a bootloader, by my understanding it should be communicating with the UEFI directly to pull it off and going over any bootloader's head.
Still hurts. They are not owned by the state, this is not how it works. Someone was granted to buy and operate them, and possibly promised to keep the vessels later. Even for scraping. So, still a loss.

Edited: grammar.
Good random number generator (rrgrng)
Node module whose effect can be achieved by typing 2 () characters
Not just a problem with chinese models. Try asking western models about reverse engineering malware and they will all decline, because the malware is copyrighted! Hah.
No, I haven't. I've used Perplexity's R1 but I don't know how many parameters it has. It's quite good, although too slow.
This doesn't seem quite correct to me. They weren't asking for "more validation than was reasonable". They were asking for literally any proof that users would benefit from the proposal. That seems like an entirely reasonable thing to ask before changing the way every single NPM package gets published, ever.

I do agree that 10k/week is non-negligible. Perhaps that means the people responsible for the 10k weren't in the room?
Qwen is different to deepseek. We were not talking about qwen. Abliteration might be a valid way to address what you're describing with qwen.
Interestingly a lot of the math and physics people in the ML community are considered "grumpy researchers." A joke apparent with this starter pack[0].

From my personal experience (undergrad physics, worked as engineer, came to CS & ML because I liked the math), there's a lot of pushback.

- I've been told that the math doesn't matter/you don't need math.
- I've heard very prominent researchers say "fuck theorists"
- I've seen papers routinely rejected for improving training techniques with reviewers say "just tune a large model"
- I see papers that show improvements when conditioning comparisons on compute restraints because "not enough datasets" or "but does it scale" (these questions can always be asked but require exponentially more work)
- I've been told I'm gatekeeping for saying "you don't need math to make good models, but you need it to know why your models are wrong" (yes, this is a reference)
- when pointing out math or statistical errors I'm told it doesn't matter
- and much more.

I've heard this from my advisor, dissertation committee, bosses[1], peers, and others (of course, HN). If my experience is short of being rare, I think it explains the grumpy group[2]. But I'm also not too surprised with how common it is in CS for people to claim that everything is easy or that leet code is proof of competence (as opposed to evidence).

I think unfortunately the problem is a bit bigger, but it isn't unsolvable. Really, it is "easily" solvable since it just requires us to make different decisions. Meaning _each and every one of us_ has a direct impact on making this change. Maybe I'm grumpy because I want to see this better world. Maybe I'm grumpy because I know it is possible. Maybe I'm grumpy because it is my job to see problems and try to fix them lol

[0] https://bsky.app/starter-pack/roydanroy.bsky.social/3lba5lii... (not perfect, but there's a high correlation and I don't think that's a coincidence)

[1] Even after _demonstrating_ how my points directly improve the product, more than doubling performance on _customer_ data.

[2] not to mention the way experiments are done, since it is stressed in physicists that empirics is not enough. https://www.youtube.com/watch?v=hV41QEKiMlM
The older cadre of Luftwaffe officers considered themselves better than other forces, with a generational code of honor/conduct. Their highest award was the Knight's Cross, so the concept of chivalry among peers was at least a thing. Aircrew POW camps were run by grounded/older Luftwaffe officers.

Goring was a WWI ace, Galland was younger so maybe eager to please.
Related:

NIST Standard Peanut Butter – $1,107 - https://news.ycombinator.com/item?id=38016900 - Oct 2023 (35 comments)

NIST Standard Reference Materials Catalog [pdf] - https://news.ycombinator.com/item?id=41917035 - Oct 2024 (9 comments)
>Good. So we understand there's a difference from a delusion and one branding themselves.

If you "brand" yourself a victim and believe it, that is a delusion. You are arguing a difference without distinction and agreeing with me because you don't understand the satire.

>It was queried a couple times.

Go back and read your original claim and stop moving goalposts.

>Maybe you understand the difference between someone whom is actually being persecuted and someone whom is suffering from a delusion.

Maybe you understand the difference between someone whom is actually delusionally "branding" themselves as a victim and someone whom is actually being victimized. I'm glad you got there!

That's the linked satire, satirizing delusional leftists who "brand" themselves as "victims". Notice the " brand" in quotes above. QED.
Python is a good choice.

It is probably the best language for passing Leetcode style interviews
And a wonderful April Fool's prank, too!
Not sure if it's meant to be but we left BT about 8 years ago and my dad's btinternet.com address is still live.
Question was to the person who claims he is using Office 2003.

I think LibreOffice 2024 is much better than Office 2003.
Mayor apologizes for sending cops to question man at work regarding parody page
I call it the experience flywheel. Humans come with problems, AI asistant generates some ideas, human tries them out and comes back to iterate. The model gets feedback on prior ideas. So you could say AI tested an idea in the real world, using a human. This happens many times over for 300M users at OpenAI. They put a trillion tokens into human brains, and as many into their logs. The influence is bidirectional. People adapt to the model, and the model adapts to us.. But that is in theory.

In practice I never heard OpenAI mention how they use chat logs for improving the model. They are either afraid to say, for privacy reasons, or want to keep it secret for technical advantage. But just think about the billions of sessions per month. A large number of them contain extensive problem solving. So the LLMs can collect experience, and use it to improve problem solving. This makes them into a flywheel of human experience.
The illusion you appeal to is so common, it ought have a name. I guess something like the "reptition-automaton illusion", I don't know or perhaps "the alienation of the mind in creative labour" . Here's a rough definition: the mistaken belief that producing repetitive products employ only repeatable actions (, skills, etc.).

A clear case: acting. An actor reads from a script, the script is pregiven. Presumably nothing could be more repetitive: each rehearsal is a repeat of the same words. And yet Antony Hopkins isn't your local high schooler, and the former paid millions and the latter not.

That paralegals work from the same template contracts, and produce very similar looking ones, tells you about the nature of what's being produced: that contracts are similar, work from templates, easily repeated, and so on. It really tells you nothing about the work (only under an assumption we could call "zero creativity"). (Consider if that if law firms were really paid for their outputs qua repeats, then they'd be running on near 0% profit margins.)

If you ask law firms how much they're employning GenAI here you'll hear the same ("we tried it, and it didnt work; we dont need our templates repeated with variation they need to be exact, and filled in with specific details from clients, etc."). And I know this because I've spoken to partners at major law firms on this matter.

The role of human beings in much work today is as I've described. The job of the paralegal is already very automated: templates for the vast majority of their contract work exist, and are in regular use. What's left over is very fine-grained, but very high-value, specialisation of these templates to the given case -- employing the seeking-out of information from partners/clients/etc., and so on.

The great fear amongst people subject to this "automaton" illusion is that they are paid for their output, and since their output is (in some sense) repeated and repeatable, they can be automated away. But these "outputs" were in almost all cases nighmarish liabilities: code, contracts, texts, and so on. They aren't paid to produce these awful liabilities, they are paid to manage them effectively in a novel business environment.

Eg., programmers aren't paid for code, they're paid to formalise novel business problems in ways that machines can automate. Non-novel solutions are called "libraries", and you can already buy them. If half of the formalisation of the business problem becomes 'formulating a prompt' you havent changed the reason the business employs the programmer
Some of that is inevitable when developing taste, or if the problem has you (so to speak). The problem is when this is the case all the time instead of a season here and there.

Your ability to page out work is a great thing to track.
Slap a good AMD gpu to that, get some rv64 recompiled AAA games, and time to tune performance from there after some QA/debugging... well for high-end desktop performance.

Then, after a little while of tuning, it will the time to access the best silicon process.