MurphyA/hacker-news huggingface dataset:
by nikp123 | 2025-09-05 15:05:10+00:00
Not to shill for a company, but probably because it's rated to work with it. Similar experience you get with "enterprise equipment".

"You could use any other drive, but our drive has been through rigorous testing" kind of situation.

Ideally we wouldn't need this since standards exist, but time and time again somebody is bound to take a shortcut and break things. Be it Raspberry in their PCI-E implementation or the drive manufacturer skipping a few NVME functions to save few kilobytes of firmware.

Think of it as a guaranteed "trouble-free" experience if you just want to plug it in and work.

I have been boiled by these cheap SSDs once, and it was a firmware related issue too.

200USD for half-assed 4TBs of SSD storage that may or may not work depending on what you plug it into.

PS: It was a Silicon Power SSD as well, so really do watch out for that stuff.
by esseph | 2025-09-05 15:05:24+00:00
> You don't need an LLM for this

I guess that depends on how many you need to do

BTW, I'm talking about docker/compose files. kubectl doesn't have a conversion there. When converting from podman, it's super simple.

Docker would be wise to release their own similar tool.

compose syntax isn't that complex, nor would it take advtange of many k8s features out of the box, but it's a good start for a small team looking to start to transition platforms

(Have been running k8s clusters for 5+ years)
by sspiff | 2025-09-05 15:06:02+00:00
I've been on Podman for about two years now. My coworkers and the entire company codebase / scripts etc are on Docker.

Podman has a number of caveats that make it not a drop in replacement out of the box, but they are mostly few and far between. Once you've learned to recognize a handful of common issues, it's quite simple to migrate.

This might sound like me trying to explain away some of the shortcomings of podman, but honestly, from my point of view, podman does it better, and the workarounds and fixes I make to our scripts and code for podman are backwards compatible and I view them as improvements.
by myrmidon | 2025-09-05 15:06:29+00:00
This is "bad reporting", in my view, because it (intentionally) baits readers into drawing sweeping conclusions ("Trumps policies have been a complete disaster, I knew it!") from very little data and small effect sizes.

This happens a ton on both sides of the political spectrum and I hate it.

On the topic itself:

If you want to bring formerly offshored industries back at scale (a overall dubious plan in my opinion), then high unemployment is a good starting point because it helps avoid labor shortages and price spikes in unrelated industries.

But what CNN reports is too small to have much of an effect on that.
by mothballed | 2025-09-05 15:07:33+00:00
Overarching goal seems to be increasing the ratio of capital to labor.

Labor is decreased by launching immigrants down the garbage shoot.

Capital increase by tariffing foreign goods which hypothetically might spur domestic production investments.

Labor being rare relative to capital should increase employment.

But really, no guarantee the capital doesn't just flee to the other 95% of the world where they can import capital equipment needed to make stuff for much cheaper, create a cascade effect, and gut the USA even worse. Especially since we have absolutely no clue what the tariffs will be 1/5/10 years from now.
by blurbleblurble | 2025-09-05 15:07:49+00:00
If I wanted to get into research ML, I'd pick Julia no doubt. It allows both conventional ML techniques where we throw tons of parameters at the problem, but additionally a more nimble style where we can train over ordinary functions.

Combine that with all the cutting edge applied math packages often being automatically compatible with the autodiff and GPU array backends, even if the library authors didn't think about that... it's a recipe for a lot of interesting possibilities.
by MontyCarloHall | 2025-09-05 15:08:08+00:00
>This guy is worried about GPU kernels

Then the title should be "why GPU kernel programming needs a new programming language." I can get behind that; I've written CUDA C and it was not fun (though this was over a decade ago and things may have since improved, not to mention that the code I wrote then could today be replaced by a couple lines of PyTorch). That said, GPU kernel programming is fairly niche: for the vast majority of ML applications, the high-level API functions in PyTorch/TensorFlow/JAX/etc. provide optimal GPU performance. It's pretty rare that one would need to implement custom kernels.

>which are never, ever written in Python.

Not true! Triton is a Python API for writing kernels, which are JIT compiled.
by nunez | 2025-09-05 15:08:28+00:00
Walmart Global Tech (what Labs was called) got gutted in the layoff-palooza last year. https://www.cbsnews.com/news/walmart-tech-layoff-corporate. Heavy outsourcing, too, so I've heard. I also believe that Walmart is trying to consolidate everyone into their Bentonville HQ; gl trying to get engineers in SFBA to move out to Arkansas!
Do you know any design first engineering blogs?
by ShaggyHotDog | 2025-09-05 15:08:30+00:00
Hey HN,

Do you know any engineering blogs that teach software engineering, but a lot of the focus is on the quality and the way they teach through design and interactions?

I know some known one's: joshwcomeau(.)com, nan(.)fyi

I want to see how people are doing this, and why there aren't a lot of websites like these.
by xrd | 2025-09-05 15:08:31+00:00
Yeah, I had it running using podman, but then had some weird container restarts. I switched back to docker and those all went away. I am sure the solution is me learning more and troubleshooting podman, but I just didn't spend the time, and things are running well in an isolated VM under docker.

That's good to know it works well for you, because I would prefer not to use docker.
by kaycebasques | 2025-09-05 15:08:41+00:00
This paragraph from the article is probably a bigger story than the August headline:

> August’s job report also included a downward revision to June, which showed the US economy lost 13,000 jobs that month. It’s the first negative employment month since December 2020, and it brings to an end what was the second-longest period of employment expansion on record.
by ndiddy | 2025-09-05 15:08:48+00:00
If you read the OpenAI blog post the article links to (https://openai.com/index/expanding-economic-opportunity-with...), their quote from Walmart is talking about retail associate jobs, not cushy corporate-level engineering etc jobs.

> OpenAI is committing to certifying 10 million Americans by 2030. And we’ll be doing it with our launch partners, including the biggest private employer in the world: Walmart. Here’s what Walmart had to say in their own words:

> “At Walmart, we know the future of retail won’t be defined by technology alone—it will be defined by people who know how to use it. By bringing AI training directly to our associates, we’re putting the most powerful technology of our time in their hands—giving them the skills to rewrite the playbook and shape the future of retail.” —John Furner, CEO, Walmart U.S.
by philipallstar | 2025-09-05 15:09:08+00:00
> I guess, once they've alienated all of their economic partners to the point sales only happen forced at gunpoint, we'll find out that this "culture of tech leadership and investment" was always an abundance of cash derived from a global market.

Cash definitely helps, because people don't like working for nothing. But there's also a culture of entrepreneurship, not related to wealth, that the US (and other places, e.g. South Africa) has, that lots of European places don't.

But now that the US has shown Europe what cloud is, and done all the investment and learning, maybe Europe can copy one a bit.
by ericHosick | 2025-09-05 15:09:26+00:00
> Anyone who claims that FSD doesn't work is flat out lying.

i've had "fsd" for years and basically never use it now. i just don't trust it.

anytime there is a new version update, i do try to have it drive from the house to the market (about 3 miles: two rights at stop signs, two rights and 1 left at stop lights) and there has never been a single time where i didn't have to take over at least once.

and maybe the problem is that i have had "fsd" while it was going through development. the trust is low from the many times it has tried to kill me. so, whenever it is on, there is nothing but stress. and so i'm more apt than not to take over when i see anything even minutely out of the ordinary.
by ChrisMarshallNY | 2025-09-05 15:09:52+00:00
I sincerely wish you luck. As I said, I think it's a timely topic.

I didn't know helpthisbook existed. Interesting service.

As you may have noticed, people are conflating the HTB stuff with your material, and HTB should keep that in mind.

I have found that talking about improving software Quality is a deeply unpopular topic, on HN, and that kinda breaks my heart.
by hodgehog11 | 2025-09-05 15:09:59+00:00
No, thank you for sharing. At first glance, I would argue this is still along the lines of what DeepMind has already done, and unlike DeepMind, they don't seem to care to engage with the communities that have been involved with this for a long time. But still, this suggests scientific machine learning is not abandoned by OpenAI, and maybe some others that I have missed. Hopefully there is a change in the winds over the next few years!
by nearbuy | 2025-09-05 15:10:00+00:00
> (Also, Wikipedia is a tertiary source, as it is meant to only cite secondary sources, not primary sources.)

Wikipedia absolutely cites primary sources (as well as secondary and tertiary sources), and this is in accordance with their policy. Breaking news stories and scientific papers are some commonly used primary sources. You may be thinking of their "no original research" policy or their warnings against editors adding their own interpretation to primary sources.
by kiitos | 2025-09-05 15:10:06+00:00
it's in demand by malicious actors, is the point

we used to have markets that worked exactly like what you're describing, it immediately led to disastrous consequences for the broad base of society, and when we figured that problem out, we solved it with rules and regulations specifically designed to prevent abuses

you can suggest reifications of those rules and regulations to make them better, but what you can't do is suggest throwing them out altogether, that's pure regression
by MangoToupe | 2025-09-05 15:10:20+00:00
Ah, it happened way earlier than that—it was their fervor for Reagan that caused us to mortgage our future for a short-term boom. You can tie so many of our current problems (debt addiction, outsourcing, vanishing of pensions, busting of unions, deregulation—basically, prioritizing the health of the market over american workers) directly to this phenomenon.

MAGA is basically the attempt to continue to be in denial about this.

Ironically, reagan had a large number of policies that are now considered to the left of the democratic party—it took two parties agreeing to be in pro-corporate economic lockstep to fuck us over. Such is the risk when you only differentiate parties over culture wars.
by spookybones | 2025-09-05 15:11:19+00:00
Why do they link it to stress and not to the virus? Personally, I still deal with major digestive issues, primarily acid and silent reflux, after getting really sick from the second vaccination. (I'm not ruling out that I could have caught covid just before the vax, though my test was negative.) Prior to this, I was someone who had never once experienced reflux. Never took a Tums, etc. Now I'm on PPIs (Nexium basically), seemingly forever. What makes me think the symptoms are not due to anxiety is that they frequently hit me when my thoughts are elsewhere and not stressed or I'm asleep.
by lenerdenator | 2025-09-05 15:11:40+00:00
That's the way it used to work.

Then we went through a decade of stupidly-low interest rates in the 10s, while the economy was doing decently well.

Maybe it was because of low interest rates. Though then you could argue capital just doesn't want to have to pay the price of operating in a borrowing environment where the average person can go down to the local bank, get a 90 day CD at 5-ish percent, and have a nice guaranteed source of steadily-growing rainy day cash, which, in turn, makes it less likely that they'll gamble it on stocks and bonds that capital holds most of its wealth in.
by dragonwriter | 2025-09-05 15:12:02+00:00
It’s not unusual for social sciences, including economics, degrees to be styled as “of Arts” (the original form for both Bachelor’s and Master’s degrees); newer forms like (“of Science”), except for specifically professional degrees, are affectations which may or may not denote any substantive difference (some universities have different colleges with different core requirements independent of degree, that offer BS/MS vs BA/MA degrees, others simply offer only one style for any given major despite similar core requirements.)

Some universities might only offer one despite having a few programs in fields where it is more common for degrees to have the opposite style; at one time, e.g., this was true of Caltech which only issued BS degrees for undergrad though there were one or two majors with very few undergraduate degrees issued in fields where BA would be more common at other institutions.
by seethishat | 2025-09-05 15:12:19+00:00
The squat (aka primal or Asian squat) would be better than sitting or standing to poo.

There is a lot of research on this... If you do sit, it helps to bring your knees up closer to your chest. You can buy devices to help do this... The Squatty Potty for example. Basically, things are better aligned (for sitters) when your knees or hips are bent deeply.

Other research shows the Thinker Position Statue is as ideal as the squat for pooping ease (if you are a sitter).
by michaelmrose | 2025-09-05 15:13:33+00:00
So suppose someone wants to say provide localized versions of their software and avails themselves of translation software. Are we supposing that such ought not exist to provide for the livelihood of the translator who would otherwise have been paid?

If so where do we stop. Do we stop at knowledge work or do we go back to shovels and ban heavy equipment or shall we go all the way back to labor intensive farming methods?

>Egos here sometimes are quite a thing to see. Maybe its good that chops are coming also for this privileged groups, a bit of humility never hurts.

This doesn't appear to be so. AI is discussed as a pretext for layoffs more fashion than function.
by mdaniel | 2025-09-05 15:14:03+00:00
> that doesn't support the full spec

I'd guess that's because "the spec" is more .jsonschema than a spec about what behaviors any random version should do. And I say "version" because they say "was introduced in version $foo" but they also now go out of their way to say that the file declaring what version it conforms to is a warning
by moi2388 | 2025-09-05 15:14:37+00:00
No clue. The college where he got his bachelor only has theology and philosophy, so he doesn’t even have a bachelors in economics.

Also, this is his PhD thesis. It’s mind-boggling to me that this is apparently doctorate-worthy, I personally find this lacking even for a bachelor thesis:

https://huskiecommons.lib.niu.edu/cgi/viewcontent.cgi?articl...
by Traubenfuchs | 2025-09-05 15:15:25+00:00
I know a big 4 strategy consultant who has a bachelor and master degree in business who, for some reason, could only get a phd position at our local university of agriculture/brewery/bio-technology and wrote a pointless thesis about a sustainability topic he had zero interest in to get his stupid phd title.

Now he is earning breath taking amounts of money by churning out power point documents so I guess his path was correct.
by cafard | 2025-09-05 15:15:44+00:00
At my junior high school, these were sometimes used in dodgeball. I was not a small kid, but there were some eight graders who were much bigger. It stung if one of those guys got you squarely with the ball.

I greatly admired a tee shirt I saw a few years ago, saying something like "Dodgeball: America's Version of Stoning."

I should add that this would have been at the end of the 1960s.
by JohnMakin | 2025-09-05 15:15:56+00:00
Not really, this was just on the front page of this site:

https://news.ycombinator.com/item?id=45129267

What a nice self-fulfilling prophecy some people have here. Hype AI as a job killer, execs become convinced of the tech before any real results are delivered, use it as excuse for layoffs, something something job numbers, "SEE?? AI!"
by matwood | 2025-09-05 15:16:06+00:00
JPow has to be annoyed. He was about to stick the perfect soft landing after killing inflation, then Trump showed up and through a tariff grenade into the economy. And, ironically, the fed was already on track to cut rates until the tariff nonsense. Now when rates are cut it's going to be because we're heading into a self inflicted recession instead of the soft landing we were headed towards before. The growing worry now is stagflation again with rising prices and slowing economy. I guess one bright spot is that we won't really know how bad it gets since it seems anyone who reports real numbers is getting fired. Fun times!
by DennisP | 2025-09-05 15:16:18+00:00
Also the capacity is significantly higher with L2 included, and increasing rapidly.

With zkrollups and a decentralized sequencer, you basically pay no penalty vs. putting transactions on L1. So far I think the sequencers are centralized for all the major rollups, but there's still a guarantee that transactions will be valid and you can exit to L1.

Scaling is improving too. Rollups store compressed data on L1 and only need the full data available for a month or so. That temporary storage is cheaper but currently is still duplicated on all nodes. The next L1 upgrade (in November) will use data sampling, so each node can store a small random fraction of that data, with very low probability of any data being lost. It will also switch to a more efficient data storage structure for L1.

With these in place, they can gradually move into much larger L2 capacity, possibly into the millions per second. For the long term, there's also research on putting zk tech on L1, which could get even the L1 transactions up to 10,000/second.
by rovr138 | 2025-09-05 15:16:20+00:00
> But you can simply install docker engine in wsl or in a VM on mac exactly like you would on linux (you give up maybe automatic port forwarding from the VM to your host)

and sharing files from the host, ide integration, etc.

Not that it can't be done. But doing it is not just, 'run it'. Now you manage a vm, change your workflow, etc.
by IAmGraydon | 2025-09-05 15:16:40+00:00
You have the chart in front of you, yet you cherry pick to confirm your bias. Look at the entire chart. The DXY is at a higher level than it has been for most of it's history (going back the the 1960s). Yes, it's down 10% this year. Guess what? It was up 22% in 2022, putting it at an extremely high level. There is nothing unusual about the dollar's strength at the moment. That could change given that the current administration is hell bent on destroying faith in the US, but as of right now, there's not much of a reaction.
by tzs | 2025-09-05 15:16:49+00:00
> How can someone get a doctorate in economics when they studied "Bachelor/Master of Arts"?

As opposed to Bachelor/Master of Science, I presume?

If that's the case it because "<degree> of Arts" and "<degree> of Science" don't actually mean what a majority of people think they do.

In the US there is no inherent difference between BA and BS in fields that most people would think of as sciences (hard or social). What degree a given set of coursework earns is entirely up to the school. All of the following exist in the wild:

• BS is the only choice. (Caltech, for example. Even English majors--and yes, there is an occasional English major at Caltech--end up with a BS).

• BA is the only choice. UC Berkeley is an example in this category for math and physics.

• Both are offered, with identical coursework and requirements. You can have whichever you want. Some will even for a small fee give you two diplomas, so you can use whichever seems appropriate for the situation.

• Both are offered, from the same department, with different in-major coursework and aims. One may be aimed toward students aiming to go into research, and one toward those aiming to go into teaching, for instance.

• Both are offered, from different departments. For example, UC Berkeley's College of Letters and Sciences offers a BA in chemistry, and the College of Chemistry offers a BS in chemistry. Computer science can be taken at Berkeley in the College of Letters and Science for a BA, or in the College of Engineering for a BS.

• Both are offered, with the same in-major coursework, but differ in out-of-major requirements. So, the BA and BS would require the exact same science and math courses, but the BA has specific breadth requirements to produce a well rounded education, whereas the BS lets you take pretty much what you want as long as you satisfy the math and science requirements and any general requirements of your school.

Note: since this has "--"s and a list, I suppose I should mention that starting at "In the US" it is a copy/paste (with a minor tweak) of something I wrote many years ago when the question of BA vs BS came up, long before LLMs arrived. :-)
by yzh | 2025-09-05 15:17:11+00:00
Hi HN! We built this to make "why AI works" feel tangible without drowning in math; feedback welcome!

- What it is

We built a structured AI-literacy platform to unpack core AI concepts with: bite-sized lessons + post-lesson quizzes, dozens of in-browser visualizers (neural nets, tokenizers, CNN, GPT-2, etc.), audio and curated videos, and daily AI news feed.

- Why we built it

Most AI courses right now felt either too math-heavy, too surface-leveled, too narrow (covers only a tiny side of AI), or just too expensive. We wanted a single place that balances rigor with intuition - accessible enough for high schoolers (and possibly younger), and structured enough to give adults a solid foundation.

- Who it's for

Anyone curious about AI (what it is, how it works, why it works, and when it doesn't), and in particular high school and college students who should really learn AI fundamentals like they do math and English, teachers looking for classroom-ready materials, adults who find themselves lost in jargons and just want to make sense of it all.

- What to try

Lessons + Thinking Corner & Teacher Notes + audio clip - start with Unit 1's first 5 lessons (after sign up, free); go through the slides, check out the Thinking Corner/Teacher Notes on each slide for additional insights, and pop up the accompanying audio clip to reinforce the slide material.

AI visualizers - GPT-2 Explorer, Tokenizer Playground, Neural Network Visualizer (free). Each visualizer includes sources and a brief 'how it works' section.

Assessments - take the short check-for-understanding at the end of each lesson.

Curated videos (YouTube) - browse through a library of handpicked short videos to reinforce concepts.

AI news feed - finish the day with a 2-minute skim of today's AI headlines; it uses AI to retrieve and rank the news with source-links.

- How we built it

React front-end + Python/Flask services (parts scaffolded with Lovable). Slides via Gamma. Visualizers are a mix of in-house and open-source (credited). Audio clips are generated using NotebookLM with context.

- Limitations

Balancing layman-friendly explanations with technical accuracy was not easy - corrections are welcome.

- Roadmap / feedback

Did we get anything wrong? Where does the difficulty curve feel off? What new content or features should we add? Our current plan is to add more lessons and visualizers. We are also exploring whether to add more practical lessons like building agents, vibe-coding app development, etc. Ideas and critiques are very welcome. Thanks!