MurphyA/hacker-news huggingface dataset:
by nis0s | 2025-11-04 22:43:24+00:00
I am confused why CEO salaries are still so high when AI can do most of their work? If companies are looking to improve margins, then decimating CEO salaries is a great place to start. I’d even say it’s a fiduciary duty to act on this sooner rather than later.

No one’s networking is worth hundreds of millions. A reasonable approach is to cap CEO salaries at $2-5M, and invest everything else in the business. How is this already not being done, AI has rendered a lot of their “analysis” common place.
by Barrin92 | 2025-11-04 22:43:30+00:00
decent chunk of RAM maybe but my parents are happily browsing away on decade+ old chrome books. Ordinary web browsing you can do on a potato machine from 2008.

Even if you're a gamer performance on the desktop has eclipsed demand so much that you can play anything on a few years old machine. It used to be way worse in the "olden" days when only 10% of people had a system that was able to play Crysis.
by ElectronCharge | 2025-11-04 22:43:37+00:00
An "administration" doesn't add debt - Congress does. Power of the purse strings, no?

I'm not sure what you mean by "this administration". Are you including DJT's first term?

Regardless, here are the numbers per Investopedia:

"Based on total dollar amounts, Joe Biden contributed the most to the national debt, adding $8.5 trillion during his presidency, followed by Donald Trump ($7.8 trillion in his first term) and Barack Obama ($7.7 trillion during his two terms)."

DJT's first term had the excuse of the COVID pandemic. Other than the final year when that was an issue, his spending was reasonable. 0'Biden on the other hand, had no such excuse for his spending binge, which was consistent across his (thankfully few) four years in office.

The "talk of lowering debt" is necessary, since right now we're spending 25% of federal revenue (about $1 trillion) paying the interest on our current massive national debt.

The hope is that a supercharged US economy can raise revenues enough to ease the pain of paying down the national debt that's largely been accumulated since 2000. It must be done to avoid the inevitable consequences.
by mnw21cam | 2025-11-04 22:43:49+00:00
I have a VPS. It costs me £1.34 per month. It's way over-powered for what I need it for.

However, one situation where I think the cloud might be useful is for archive storage. I did a comparison between AWS Glacier Deep Storage and local many-hard-drive boxes, for storing PB-scale backups, and AWS just squeaked in as slightly cheaper, but only because you only pay for the amount you use, whereas if you buy a box then you have to pay for the unused space. And it's off-site, which is a resilience advantage. And the defrosting/downloading charge was acceptable at effectively 2.5 months worth of storage. However, at smaller scales you would probably win with a small NAS, and at larger scales you'd be able to set up a tape library and fairly comprehensively beat AWS for price.
by hobs | 2025-11-04 22:43:52+00:00
There are lines you should not cross if you want to not support Nazis. It's actually a really bright line, and supporting Trump or DHH given his recent very public posts about his white supremacy shows that you are basically not a person who is affected by the problems both of those people create when you say "as if nothing good they did matters anymore" - simply put once you throw in with a white supremacist your reputation is going to be exploded into tatters, there's no "oopsie" about it.
by runako | 2025-11-04 22:44:59+00:00
1. Comparing a city-state to a city in a large country is kind of a silly exercise. There is no hard border at ("everything's legal in") New Jersey, for example.

2. Singapore has a very different firearm regulation regime than the US (or even New York State or NYC). Your argument could make sense as an argument in favor of more tightly restricting firearm ownership in the US.

3. Your argument doesn't even attempt to generalize to other authoritarian regimes. One could equally compare NYC's murder rate with that of Japan or Switzerland, which did not have to use authoritarianism to achieve low homicide rates.
by jacobgkau | 2025-11-04 22:45:10+00:00
> if you are scrolling on mobile, they've changed the behaviour on iOS so that if you touch the ad at all, it considers it a click and opens it,

They did it for Android, too. Just the other day, I tried to view replies for an ad, and thought I'd accidentally clicked the ad multiple times before realizing that the replies indicator and even the timestamp (which is the normal "just go to the tweet" valve) were behaving the same as an ad click.

Edit: Re-reading your comment, not sure if that was exactly what you meant, or if you just meant that it'll e.g. open the ad if you try to scroll on it.
by dhanour27 | 2025-11-04 22:45:12+00:00
Rippling | Actively hiring across SF, NY, or SEA| ONSITE/HYBRID (3 days M/Tu/Th, non-negotiable)| Base + Equity (RSUs), pay range included in all job posts

Rippling (YC W17) is a unified workforce management platform. We bring together HR, IT, and Finance in a single system to help businesses manage all their operations—from payroll and benefits to computers and corporate cards—globally. We're rapidly expanding beyond workforce management and have other verticals in active development.

We value engineers who are energized by, and thrive in, a fast-paced, high ownership environment. Here are some of our highest priority roles where you'll have an opportunity to make an out-sized impact in critical areas of the business.

Sr Staff Eng - Global Payroll - https://ats.rippling.com/rippling/jobs/631e8120-3e87-4cb2-80... Staff Eng - Platform - https://ats.rippling.com/rippling/jobs/354322cd-06fd-47f7-80... Senior FullStack Eng - Time Products - https://ats.rippling.com/rippling/jobs/db5da4b4-4882-459c-90...

Director of Eng - Infrastructure - https://ats.rippling.com/rippling/jobs/2f2ae4c8-ec56-4d1f-8f... Sr Eng Manager - Financial Platform - https://ats.rippling.com/rippling/jobs/a9658fef-88df-4dad-a4...

Rippling Careers Page - https://www.rippling.com/en-GB/careers/open-roles
by anon291 | 2025-11-04 22:45:14+00:00
Freedom refers to a potentiality. You are conflating a potential (freedom) for a hoped-for benefit (highly competitive). A free market is a means towards a competitive market because it lowers the artificial barriers to entry into the market. Those barriers imposed by the universe simply are and while we can invest into R&D and education, market forces cannot change the laws of physics.
by dangus | 2025-11-04 22:46:14+00:00
I disagree. I would submit that the average consumer utilizes a lot of computing power and that you might actually be using less than that as a more technical power user with more discerning tastes in applications and a viewpoint that sees the computer as more of a tool than an entertainment and lifestyle device.

I would also sumbit that the person who is still using a computer from 2011 would never have bought an i7 in the first place. They’re not going to follow an upgrade path where they say “I had a core i3 in 2011 that is too slow now so I’ll replace it with something that had a 2011 i7 that I couldn’t justify purchasing at the time.” Instead they’re more likely to say “I bought this laptop 15 years ago and I’ve battered the hell out of it and I’ve been frugal and it’s time for a new one,” and when they buy that new one it will also be a very modest configuration.

So the fact that a top of the line processor from 15 years ago is still serviceable is not really all that relevant. It’s going to not even be worth it on power consumption alone if you’re running it 24/7.

In other words, there’s more to a chip than raw performance.
by rattlesnakedave | 2025-11-04 22:46:25+00:00
Similarly most fire stick pirate streaming and side loading tutorials use an app called “downloader” which includes a URL shortener. Users are given an 8 digit “downloader code” and most blindly download and sideload APKs on their device. Probably a field day for anyone wanting to bundle and distribute malware.

https://troypoint.com/best-downloader-codes/
by XCSme | 2025-11-04 22:46:26+00:00
I was curious how good the new EX63 server is with the Intel Ultra 7 265, which was supposed to have insane single-core performance, so I got one and benchmarked it.

Single-core perf seems the same like i5-13500 (which is a bid odd), but multi-core is like 2.5x better, for the same number of 20 threads.
by wyday | 2025-11-04 22:46:39+00:00
> but if you must then the correct way to do it is to say what his views are

I did. Read the end of the sentence you quoted. It's a snapshot of his hateful views. There is, however, breadth and depth to his hate. Which is I directed you a few good keywords to search his own words in context to get a taste.

I'd say take my word for it and don't waste your time. But it's your time, bud.
by gnuplustoejam | 2025-11-04 22:46:52+00:00
Running open-source firmware someone's hacking on (which gets little to no testing) on a gas appliance that can burn your house down is probably not the best idea.

If you are paranoid about Nest being evil maybe stick to one of those Honeywell round hockey-puck things with the mercury inside.

Or use a Z-Wave/Zigbee thermostat from a reputable vendor (there aren't many) and control it from a gateway of your choice.
by nostrademons | 2025-11-04 22:46:58+00:00
So I remember urban growth barriers being all the rage in the late 00s, and Portland specifically was held up as a shining example. Many Western cities (eg. Portland, Seattle, SF & the Peninsula, Salt Lake City) followed this general pattern though.

What I actually see, living in one of those metro regions that is land-constrained, is very little infill development and actually implemented creative thinking, and lots of homelessness and unaffordable homes. Sure, being supply-constrained gets people thinking about infill development and mass transit and densification and walkable neighbors. But there's always a barrier, usually multiple ones, to actually putting that into practice. Instead, you get the obvious effects: the supply of homes is constrained, their price rises to the point where only rich people can afford them, everyone else either goes homeless or moves out of the area. Sometimes, very often, a supply constraint simply means that people do without. Even when there is multi-family infill development, people don't want to live there. Everybody wants their SFH, even though intellectually they know it's unsustainable.

I suspect it's going to be the same here. More expensive CPUs and GPUs are just going to mean more expensive CPUs and GPUs with no real silver lining.
by andreybaskov | 2025-11-04 22:47:06+00:00
Apologies, I didn't mean to spam, haven't seen the other thread that picked up more votes and was really curious about where the line is.

I completely understand private businesses having a right to refuse a service without a cause. But as others pointed, the question is to what degree "delegation" is acceptable if I'm acting in a good faith?

I'm guessing the answer is "to a degree it doesn't impact our business".
by jcalvinowens | 2025-11-04 22:47:17+00:00
The idea that CPI sucks is far from a conspiracy theory... not sure why you're trying to color it like that.

The problem is that the error integrates over time, which IMHO is why graphs like that seem to suggest our standard of living is higher than ever... when a conversation with anyone at a local bus stop will tell you the exact opposite.
Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes
by daftpixie | 2025-11-04 22:47:33+00:00
I'm building ReadMyMRI to solve a problem I kept running into: getting medical imaging data (DICOM files) ready for machine learning without violating HIPAA or losing critical context.

What it does: ReadMyMRI is a preprocessing pipeline that takes raw DICOM medical images (MRIs, CTs, etc.) and:

Strips all Protected Health Information (PHI) automatically while preserving DICOM metadata integrity Compresses images to manageable sizes without destroying diagnostic quality Links deidentified scans to user-provided clinical context (symptoms, demographics, outcomes) Uses multi-model AI consensus analysis for both consumer facing 2nd opinions and clinical decision making support at bedside Outputs everything into a single dataframe ready for ML training using Daft (Eventual's distributed dataframe library)

Technical approach:

Built on pydicom for DICOM manipulation Uses Pillow/OpenCV for quality-preserving compression Daft integration for distributed processing of large medical imaging datasets Frontier models for multi model analysis (still debating this)

What I'm looking for:

Feedback from anyone working with medical imaging ML Edge cases I haven't thought about Whether the Daft integration actually makes sense for your use case or if plain pandas would be better HIPAA/privacy concerns I am not thinking about

Happy to answer questions about the architecture, HIPAA considerations, or why medical imaging data is such a pain to work with.
by janice1999 | 2025-11-04 22:47:55+00:00
> But we should be explicit that there is a tradeoff to be made.

Did you read what I wrote? There is no "tradeoff". Authoritarianism doesn't guarantee crime reduction and it certainly is not the only way to achieve it. I live in a vibrant democracy with low crime and an almost totally unarmed police force (thanks to strict gun control and a public health care system).
by Sebb767 | 2025-11-04 22:48:28+00:00
I dislike those black and white takes a lot. It's absolutely true that most startups that just run an EC2 instance will save a lot of cash going to Hetzner, Linode, Digital Ocean or whatever. I do host at Hetzner myself and so do a lot of my clients.

That being said, the cloud does have a lot of advantages:

- You're getting a lot of services readily available. Need offsite backups? A few clicks. Managed database? A few clicks. Multiple AZs? Available in seconds.

- You're not paying up-front costs (vs. investing hundreds of dollars for buying server hardware) and everything is available right now [0]

- Peak-heavy loads can be a lot cheaper. Mostly irrelevant for you average compute load, but things are quite different if you need to train an LLM

- Many services are already certified according to all kinds of standards, which can be very useful depending on your customers

Also, engineering time and time in general can be expensive. If you are a solo entrepreneur or a slow growth company, you have a lot of engineering time for basically free. But in a quick growth or prototyping phase, not to speak of venture funding, things can be quite different. Buying engineering time for >150€/hour can quickly offset a lot of saving [1].

Does this apply to most companies? No. Obviously not. But the cloud is not too expensive - you're paying for stuff you don't need. That's an entirely different kind of error.

[0] Compared to the rack hosting setup described in the post. Hetzner, Linode, etc. do provide multiple AZs with dedicated servers.

[1] Just to be fair, debugging cloud errors can be time consuming, too, and experienced AWS engineers will not be cheaper. But an RDS instance with solid backups-equivalent will usually not amortize quickly, if you need to pay someone to set it up.
by Retric | 2025-11-04 22:48:53+00:00
Hardly, you could do a one time payment of 500$ in a new iPhone 16e or 730$ for a iPhone 16 with AT&T’s prepaid annual 20$/month plan. https://www.att.com/buy/prepaid-phones/browse/apple/

There’s no free lunch here, cheap plans are noticeably worse in various ways, but like cable companies carriers don’t want to give you a good plan without bundling phone upgrades.

Visible’s $25/month plan mentions unlimited Hotspot for example, but good luck finding they always cap you at 5 Mbits on their website. Suddenly it makes more sense why someone might bump up to their $45/month plan for 3x the Hotspot speed. Even then 15Mbps isn’t that bad, but it’s a long way from 5G could provide.
by ErroneousBosh | 2025-11-04 22:49:06+00:00
I wonder if that's why my now something like nearly 40-year-old dishwasher is so bad for leaking, on certain cycles? Maybe the pods foam up too much, because it seems hell of a foamy inside.

At some point, I'll maybe post up the pics of repairing the door hinges - previously it was leaking badly because the chunky metal hinges had cracked and bent, pushing the door up enough to not squash the bottom lip seal. Unobtainable parts now, but if you have a welder...

If you don't use a JTAG cable and a MIG welder on the same project in the same day, can you really call yourself "full stack"?
by ojosilva | 2025-11-04 22:49:12+00:00
I think the consensus in the future will be that LLMs were, after all, stochastic parrots.

The difference with what we think today is that in the future we'll have a new definition of stochastic parrots, a recognition that stochastic parrots can actually be very convincing and extremely useful, and that they exhibit intelligence-like capabilities that seemed unattainable by any technology up to that point, but LLMs were not a "way forward" for attaining AGI. They will plateau as far as AGI metrics go. These metrics keep advancing to stay ahead of LLM, like a Achilles and the Turtle. But LLMs will keep improving as tooling around it becomes more sophisticated and integrated, and architecture evolves.
by ksenzee | 2025-11-04 22:49:15+00:00
I agree, everyone makes small sacrifices and concessions to the people they live with, and I would never break up with someone over such a small issue as temperature preference. But trying to trick your partner or housemate into thinking you haven’t changed the temperature? That’s the kind of strategy you use when you’re stuck with someone you can’t communicate with, or don’t respect enough to want to communicate with, or have given up on communicating with. At that point I’d be packing my things.
by carimura | 2025-11-04 22:50:41+00:00
Been thinking about this lately because I find my writing style is a little bit like annoying slightly sycophantic overly-hyphenated-with-an-emdash-here-and-there LLMs. Since LLMs are trained on the Internet, wouldn't some portion of posts that fall in the middle of the "voice bell curve" always sound like LLMs and thus be open to this critique even when they are 100% human written?
by shevy-java | 2025-11-04 22:50:47+00:00
I think this actually goes against the US constitution.

Let me explain why:

Law enforcement can only investigate people based on certain provisions. The typical one is of "reasonable suspicion" of a crime. This also has to be articulated, at the latest in the police report.

With a face-scanning app, people who are registered, are no longer anonymous. The cops know who they are. However had, what legal basis would they have to know who is who at all times, without suspicion of a crime? This basically bypasses protection in the legal system. It will be interesting to see whether the high court will allow it, because if so then they can also discard the last ~80 years of legislation here. So I am pretty certain that Trump will lose this one eventually. Meanwhile he achieves that the ICE gangsters will do so against "suspected migrants", which is all the MAGA base wants to achieve.
by lotsofpulp | 2025-11-04 22:50:51+00:00
I am not seeing the discrepancy:

> A free market does not directly require the existence of competition; however, it does require a framework that freely allows new market entrants. Hence, competition in a free market is a consequence of the conditions of a free market, including that market participants not be obstructed from following their profit motive.

The barriers to entry being referred to in the Wikipedia article are presumably government related. No government is stopping Intel or Samsung or any of the other chip makers from selling what TSMC sells, hence the “framework that freely allows new market entrants” is there.

And the subsequent paragraph seems to be exactly what is happening in the market of high end chips:

> Hence, competition in a free market is a consequence of the conditions of a free market, including that market participants not be obstructed from following their profit motive.
by dancrystalbeach | 2025-11-04 22:50:55+00:00
We lived in a world where we hear the words ... "Terabyte", or "Iceberg" or "Lake House" and we think Cluster. We ... must ... have ... Cluster ... give ... me ... cluster. DBUs start piling up. We smile, our boss smiles, Databricks smiles. Just a little pipeline, another one of a million pulsing through the network today. What's just one more?
by marcellodb | 2025-11-04 22:51:27+00:00
Thanks! Great set of questions:

1. Tabular data only, for now. Text/images also work if they're in a table, but unfortunately not unstructured text or folders of loose image files. Full support for images, video, audio etc coming sometime in the near future.

2. Input pre-processing is deployed in the model endpoint to ensure feature engineering is applied consistently across training and inference. Once a model is built, you can see the inference code in the UI and you'll notice the pre-processing code mirrors the feature engineering code. If you meant something like deploying scheduled batch jobs for feature processing, we don't support that yet, but it's in our plans!

3. The agent isn't explicitly instructed to "push back" on using ML, but it is instructed to develop a predictor that is as simple and lightweight as possible, including simple baseline heuristics (average, most popular class, etc). Whatever performs best on the test set is selected as the final predictor, and this could just be the baseline heuristic, if none of the models outperform it. I like the idea of explicitly pushing back on developing a model if the use case clearly doesn't call for it!

4. Yes, we have a model evaluator agent that runs an extensive battery of tests on the final model to understand things like robustness to missing data, feature importance, biases, etc. You can find all the info in the "Evaluations" tab of a built model. I'm guessing this is close to what you meant by "model interpretation"?

5. A mix of generic and fine-tuned, and we're actively experimenting with the best models to power each of the agents in the workflow. Unsurprisingly, our experience has been that Anthropic's models (Sonnet 4.5 and Haiku 4.5) are best at the "coding-heavy" tasks like writing a model's training code, while OpenAI's models seem to work better at more "analytical" tasks like reviewing results for logical correctness and writing concise data analysis scripts. Fine-tuning for our specific tasks is, however, an important part of our implementation strategy.

Hope this covers all your questions!
by ndriscoll | 2025-11-04 22:51:36+00:00
I don't notice any issues with an i5-6600k or an n100. Both are 4c/4t and extremely snappy. The only ways to get them above like 0.5 load are CPU intensive tasks like compiling, video editing, or games. The only thing I've found I can't do is real time viewing of 200 Mbit/s 4k60 10 bit 4:2:2 h265 off my camera because it's software decoded (software can only do ~half speed).
by lisper | 2025-11-04 22:51:47+00:00
> That's just incorrect though

Quite possible. But that's in no small measure because I have yet to find an actual cogent definition of "tensor" that distinguishes a tensor from an array. (I have a similar problem with monads.)

> So what I mean when I talk about the reality of the tensor I mean whatever it is the tensor is expressing in the physical universe

OK, but then "the reality of a tensor" not depending on the coordinate system has nothing to do with tensors, and becomes a vacuous observation. It is simply a fact that actual physical quantities don't depend on how you write them down, and hence don't change when you write them down in different ways.