MurphyA/hacker-news huggingface dataset:
by NickC25 | 2025-09-30 17:09:01+00:00
>From what I read she also invoked various privacy law excuses to give them the run-around while they were pressured to close the deal.

And that should have been a massive red flag for JPMC. They should have nope'd out of that deal on the spot.

I run a hybrid B2B and B2C consumer packaged good company. I have a few small investors. They know who my top clients are, because they ask in good faith, and I answer in good faith.
by thereisnospork | 2025-09-30 17:09:04+00:00
The rolling "tumbleweed" variant does, afaict there aren't many issues related to btrfs[0]. Most problems I see seem to be Nvidia drivers or something choking during the update process (bad mirrors, odd package not updating, etc.).

[0]I'm currently evaluating OpenSuse as a possible W11 replacement, but not using it for anything serious atm.
by wat10000 | 2025-09-30 17:09:13+00:00
The root cause is the unending quest for scale.

This could be resolved by having a human person with decent judgment evaluate and approve all products before they can be listed. That's how normal retail outfits operate. Everything you find on a Safeway shelf has been authorized by someone at Safeway corporate. That doesn't mean it's good, but it at least means they consciously intend to sell it.

But that scales poorly. This person has to have some sort of skin in the game, so you can't just contract it out or automate it. Amazon leadership is making a conscious decision to allow their store to be flooded with shit in order to reduce their costs of curating it. Given how successful they are, I have a hard time arguing they made the wrong choice, but I certainly don't like it.

It's the same reason it's hard to impossible to reach customer service at many of these places. Google would much rather lose you as a "customer" than spend the money it takes to have a person available who can get your gmail account unfucked.
by bonoboTP | 2025-09-30 17:09:31+00:00
It gets specialized after that. You need to be more specific about the area you are interested in. Computer vision is a very broad field. For newer topics, there are often no textbooks yet because it takes time to write books and the methods and practices change quite fast, so it takes time to stand the test of time. Your best bet is arXiv and GitHub to learn the latest things.

Object detection / segmentation, human pose (2D/3D), 3D human motion tracking and modeling, multi-object tracking, re-identification and metric learning, action recognition, OCR, handwriting, face and biometrics, open-vocabulary recognition, 3D geometry and vision-language-action models, autonomous driving, epipolar geometry, triangulation, SLAM, PnP, bundle adjustment, structure-from-motion, 3D reconstruction (meshes, NeRFs, Gaussian splatting, point clouds), depth/normal/optical flow estimation, 3D scene flow, recovering material properties, inverse rendering, differentiable rendering, camera calibration, sensor fusion, IMUs, LiDAR, birds eye view perception. Generative modeling, text-to-image diffusion, video generation and editing, question answering, un- and self-supervised representation learning (contrastive, masked modeling), semi/weak supervision, few-shot and meta-learning, domain adaptation, continual learning, active learning, synthetic data, test-time augmentation strategies, low-level image processing and computational photography, event cameras, denoising, deblurring, super-resolution, frame-interpolation, dehazing, HDR, color calibration, medical imaging, remote sensing, industrial inspection, edge deployment, quantization, distillation, pruning, architecture search, auto-ML, distributed training, inference systems, evaluation/benchmarking, metric design, explainability etc.

You can't put all that into a single generic textbook.
by tom_m | 2025-09-30 17:09:49+00:00
I love how AI is surfacing problems that have been present all along. People are beginning to spend more time thinking about what's actually important when building a software product.

My hope is that people keep the dialogue going because you may be right about the feeling of LLMs speeding things up. It could likely be because people are not going through the proper processes including planning and review. That will create mountains of future work; bugs, tech debt, and simply learning. All of which still could benefit from AI tools of course. AI is a very helpful tool, but it does require responsibility.
by ghc | 2025-09-30 17:09:58+00:00
Endeavor Robotics was recently sold for $382MM. So clearly it was actually valuable.

Are you aware that from an investor perspective, creating a household brand and high IRR though IPO is considered a wild success? All companies eventually decline. By your metrics GE wasn't a wildly successful company either. Or AOL. Or Yahoo. Or Myspace. Every one of those companies eventually declined and your return would be poor if you held on to your investment over their entire arc.
by itchytoo | 2025-09-30 17:10:12+00:00
Imbue team member here. The biggest difference between Sculptor and Terragon is the collaboration model. With Terragon, the agent outputs PRs. This works well for simple tasks that agents can one-shot, but is a bit clunky to use for more complex tasks that require closer human-agent collaboration imo. On the other hand, Sculptor is designed for local collaboration. Our agents run in containers too, but we let you (bidirectionally) sync to the containers, which lets you stream in the agent's uncommitted changes, and collaborate in real time. So basically, it feels like you are using Claude Code locally, but you get the safety and parallelism of running Claude in containers. I find this much more usable for real world engineering tasks!
by TuringNYC | 2025-09-30 17:10:19+00:00
>> The problem here is this wasn’t about MAU. JPMorgan wanted a verified student data asset they could market to, so stale accounts were fine. Diligence focused on whether Frank had “records” (name, email, DOB, etc.), not whether those records were active.

This isnt about inactive data, they had an outside data scientist create an artificially generated usage dataset!
by DSpinellis | 2025-09-30 17:10:28+00:00
I've found creating pipelines with Python to be messy and intuitive. Other than creating a DSL to express them I can't see how DAGs can be expressed naturally with Python's syntax.

Even creating tools in Python that can be connected together in a Unix shell pipeline isn't trivial. By default if a downstream program stops processing Python's output you get an unsightly broken pipe exception, so you need to execute signal.signal(signal.SIGPIPE, signal.SIG_DFL) to avoid this.
by ratelimitsteve | 2025-09-30 17:10:45+00:00
Dividends don't exist for a private company and I never said they did. And that's why a private company can exist without growing and a public company can't. If you look up the thread, you'll find that it's all in response to someone else posting "Private ownership can give you the benefit of operating at a stagnate revenue since it still represents a positive income stream for the owners", which is exactly what I said here. The owners of private companies profit when there's money left over after all the expenses are paid. The owners of public companies only profit when there's more money left over this year than last year because that will induce people to be willing to pay more for the shareholder's stake, and that increase in the value of the stake (which should reflect an increase in the value of the company) is the profit for a shareholder. So as a private owner if there's a million dollars left over after every year I make a million dollars but as a shareholder if there's a million dollars left over after every year I make more or less nothing.
by stycznik | 2025-09-30 17:12:07+00:00
>It's not at all clear to me what really happened to make all the drama. A PR was made that contained something that was more feature-like than bugfix-like, and that resulted in a whole module being ejected from the kernel?

This isn't just a one time thing, speaking as someone who follows the kernel, apparently this has been going on pretty much since bcachefs first tried to get into Linus's tree. Kent even once told another kernel maintainer to "get your head examined" and was rewarded with a temporary ban.

Edit: To be fair, the kernel is infamous for being guarded by stubborn maintainers but really I guess the lesson to be learned here is if you want your pet project to stick around in the kernel you really can't afford to be stubborn yourself.
by xpe | 2025-09-30 17:12:24+00:00
I welcome any substantive commentary and disagreement, as always.

I’m happy to stray outside the herd. HN needs more clearly articulated disagreement regarding AI regulation. I made my comment in response to what seemed like a simplistic, ideology-driven claim. Few wise hackers would make an analogous claim about a system they actually worked on. Thinking carefully about tech but phoning it in for other topics is a double standard.

Bare downvotes don't indicate (much less explain) one's rationale. I can’t tell if I (1) struck a nerve (an emotional response); (2) conjured a contentious philosophy (i.e. we have a difference in values or preferences or priorities), (3) made a logical error, (4) broke some norm or expectation, or (5) something else. Such a conflation of downvotes pushes me away from HN for meaningful discussion.

I’ve lived/worked on both coasts, Austin, and more, and worked at many places (startups, academic projects, research labs, gov't, not-for-profits, big tech) and I don’t consider myself defined by any one place or culture. But for the context of AI regulation, I have more fundamental priorities than anything close to "technical innovation at all costs".

P.S. (1) If a downvote here is merely an expression of “I’m a techno-libertarian” or "how dare you read someone's HN profile page and state the obvious?" or any such shallow disagreement, then IMO that’s counterproductive. If you want to express your viewpoint, make it persuasive rather than vaguely dismissive with an anonymous, unexplained downvote. (2) Some people do the thing where they guess at why someone else downvoted. That’s often speculation.
by mindslight | 2025-09-30 17:12:38+00:00
I've got this theory that people think government service must be so terrible because it was poor compared to corporate service in the 80's (the Golden Age of Boomerism), corporate service shamelessly got so much worse, and they simply assume government service must also have.

I've called the federal government a handful of times (IRS, Savings Bonds, Social Security). The people I spoke with were knowledgeable and empowered. A bit comic promulgating bureaucracy and delays (I think I was once told something like oh your case is only 10 days late being processed so it's not a priority yet), and of course some wait on hold/callback game. But the people I would end up speaking to had my paperwork in front of them, readily answered questions in an intelligent manner, and were empowered to make binding decisions for the government.

There was none of the "your ticket is still open so the only thing I can do is add a note that you called", or "sorry you've reached the wrong department, I can transfer you" buck passing bullshit that permeates corporate phone mazes. It was actually a breath of fresh air compared to dealing with corporate banks and financial institutions (at Vanguard I was told I had reached the wrong department, transferred, and waited on hold again five times before reaching the "correct" department).

I've also represented myself on the phone to my state's tax authority, and they were eminently reasonable as well. On the scheduled phone call (with me, their agent, and his supervisor), we agreed to an amicable solution on the spot. (I had really wanted to hire an attorney but they all played the equivocation game!)
by krainboltgreene | 2025-09-30 17:13:12+00:00
Come on, it's 2025, you really think no one has studied the effects of layoffs on a company?

https://hbr.org/2018/05/layoffs-that-dont-break-your-company

> For instance, a study of one Fortune 500 tech firm done by Teresa Amabile at Harvard Business School discovered that after the firm cut its staff by 15%, the number of new inventions it produced fell 24%. In addition, layoffs can rupture ties between salespeople and customers. Researchers Paul Williams, M. Sajid Khan, and Earl Naumann have found that customers are more likely to defect after a company conducts layoffs. Then there’s the effect on a company’s reputation: E. Geoffrey Love and Matthew S. Kraatz of University of Illinois at Urbana–Champaign found that companies that did layoffs saw a decline in their ranking on Fortune’s list of most admired companies.

> A 2002 study by Magnus Sverke and Johnny Hellgren of Stockholm University and Katharina Näswall of University of Canterbury found that after a layoff, survivors experienced a 41% decline in job satisfaction, a 36% decline in organizational commitment, and a 20% decline in job performance.

> In a 2012 review of 20 studies of companies that had gone through layoffs, Deepak Datta at the University of Texas at Arlington found that layoffs had a neutral to negative effect on stock prices in the days following their announcement. Datta also discovered that after layoffs a majority of companies suffered declines in profitability, and a related study showed that the drop in profits persisted for three years. And a team of researchers from Auburn University, Baylor University, and the University of Tennessee found that companies that have layoffs are twice as likely to file for bankruptcy as companies that don’t have them.

It also just doesn't make any sense whatsoever.

Also, there's no reason to cast aspersions. Feel free to actually engage anytime you want.
by ChrisMarshallNY | 2025-09-30 17:13:31+00:00
Not just The Internet. All of tech, and likely, other industries, as well.

I was told that this was what happened to Etsy.

When it first came out, people with real skills, sold real, handmade goods, at fairly high prices.

Then, the mass-produced knockoffs flooded the site, priced way-lo.

The legit stuff couldn't keep up; in price or in scale.

I see this happening everywhere.
by thejash | 2025-09-30 17:13:33+00:00
Since our launch 2 years ago, we've focused more on the "agents that code" part of our vision (so that everyone can make software) rather than the "training models from scratch" part (because there were so many good open source models released since then)

This is from our fundraising post 2 years ago:

> Our goal remains the same: to build practical AI agents that can accomplish larger goals and safely work for us in the real world. To do this, we train foundation models optimized for reasoning. Today, we apply our models to develop agents that we can find useful internally, starting with agents that code. Ultimately, we hope to release systems that enable anyone to build robust, custom AI agents that put the productive power of AI at everyone’s fingertips.

- https://imbue.com/company/introducing-imbue/

We have trained a bunch of our own models since then, and are excited to say more about that in the future (but it's not the focus of this release)
by Freak_NL | 2025-09-30 17:13:37+00:00
In Dutch I have the luxury of being able to use the semi-colon in a similar capacity — useful to avoid the em-dash stigma I suppose — but I refuse to relinquish it in English.

Fortunately, I can always just point to evidence of prior use here:

https://www.gally.net/miscellaneous/hn-em-dash-user-leaderbo...
by 0xbadcafebee | 2025-09-30 17:13:40+00:00
Every time somebody tries to make a super-simplistic ASCII file format to make raw data "easy for humans", it either ends up sucking for humans, or sucking for computers, or both. I get it, the programmer is lazy, so the programmer finds a way to do something they find easier. But that's what gave us YAML and Markdown - the former setting us back in both data serialization and configuration formats, the latter setting us back in document formatting and layout.

It's 2025. Enough with the ASCII. As a human, if I want to map out and display a DAG, I don't want to do it in a text file. Give me a UI or give me death.
by ctrlp | 2025-09-30 17:13:40+00:00
There is almost no good reason to keep up with current events in a "news feed" style. I'd maybe like a feed that has a 1 month window summarizing any news cycle that survived 3 days. If it came and went in one cycle, then just don't bother about it. Most of the news is just propaganda anyway. I suppose it's wise to have a sense of the "current thing" so you don't put your foot in it with colleagues who are inhabiting a tighter timeline than you are, but other than that there doesn't seem to be many use cases for keeping tabs in a news feed. Maybe if you're in the business of disrupting/reinforcing people's OODA loops you might need to know some of this stuff, but otherwise it's just a self-own to keep up with the news.
by sfn42 | 2025-09-30 17:13:41+00:00
Maybe you could enlighten me? Cause it looks to me like he won an election.

I watch Trump speak and it just baffles me that anyone could possibly take him seriously. It's so abundantly clear that the guy just makes shit up on the spot, constantly. The guy lies more than he tells the truth and it's obvious. I'm not even a native English speaker and it's clear as day to me that pretty much every word out of that guy's mouth is bullshit.

I watch Trump interacting with other world leaders where they're struggling to keep their composure, the stuff he says and does is so ridiculous these serious, accomplished adults are about to lose it laughing in his face because he's so ridiculous.

And on top of that there's all the downright criminal stuff he pulled last time, like staging a coup, stealing classified documents (boxes and boxes worth, not just a couple sheets that fell behind the sofa), and probably a bunch of other stuff I haven't heard about. Oh and apparently he used to be besties with Epstein. You can not make this up, I almost could not imagine a worse leader. And I'm barely even paying attention to what's going on over there.

On the bright side at least we're getting some good laughs out of it like when Giuliani booked a press conference at the Four Seasons Landscaping next to a porn shop. That was fun.
by duskwuff | 2025-09-30 17:14:10+00:00
A Fire upon the Deep and A Deepness in the Sky are loosely connected; you can read them in either order. Both novels reveal some details which explain bits of the other.

However, I would recommend skipping Children of the Sky. It's not as good, and was clearly intended as the first installment of a series which Vinge was unable to complete. :(
by PaulHoule | 2025-09-30 17:14:13+00:00
The library is like that. I got used to the idea that works on certain topics could be distributed across different places. In the LC system, for instance, machine vision could be around QA76 or in the T’s somewhere in electronics or optics. It’s particularly bad there because the call numbers are used to physically place books in one exact place.

It’s just so weird that in Dewey computers are stuffed in right after books about ufos and the Loch Ness monster but most of the rest of the occult is in the 130s even though some of it could go at the end of the 200s but hardly ever does.
by zeta0134 | 2025-09-30 17:14:25+00:00
I've been busily porting my NES game, Tactus, to Windows, Mac, and Linux as a "native" build. It's been fun to consume my own emulator as middleware, and then lightly modify it to support things like a widescreen view, which the original console definitely cannot do. Here's what that looks like:

https://bsky.app/profile/zeta0134.bsky.social/post/3lzclakpp...

Right this second I'm getting the paperwork sorted to start my first business (gulp!) which should then let me get a Steam page set up and start messing around with the Steamworks SDK integrations. Tons more work to do, but it's coming together fast.

Even more exciting, the cartridges are finally working! I can play the game on real hardware. :D It's basically the same game code on both platforms, with the PC build just doing a bit of extra work to signal to its emulator "shell" that it has switched game modes. (This affects the widescreen display.) Real hardware capture here:

https://bsky.app/profile/zeta0134.bsky.social/post/3lysv53qk...
by minimaxir | 2025-09-30 17:14:26+00:00
OpenAI apparently assumes that the primary users of Sora 2/the Sora app will be Gen Z, especially with the demo examples shown in the livestream. If they are trying to pull users from TikTok with this, it won't work: there's some nuance to Gen Z interests than being quirky and random, and if they did indeed pull users from TikTok then ByteDance could easily include their own image/video generators.

Sora 2 itself as a video model doesn't seem better than Veo 3/Kling 2.5/Wan 2.2, and the primary touted feature of having a consistent character can be sufficiently emulated in those models with an input image.
by WorldMaker | 2025-09-30 17:14:26+00:00
> Anthem had been in development for like 6 years by the time the idea for the Mandalorian was even pitched by Favreau.

People have been wanting to make Mandalorian-focused videogames since essentially the Star Wars Holiday Special invented Boba Fett. (See also all the Mandalorian armored classes in SWTOR.) I'm not saying Anthem was influenced by what would come to be the TV show, I'm saying Anthem was timed with coincidence that if EA's executives had sold Anthem as a Mandalorian videogame it might have been lucky to come out when the TV show did and got a huge audience. It's a weird twist of fate.

Also, yes the live-service pivot also is a reason to expect some under-development of story so that it can come out in later expansions, but also Anthem never really had a clearly defined expansion roadmap, so I think it was more than just the live-service game pivot that damaged Anthem's attempts at storytelling.
by mothballed | 2025-09-30 17:14:42+00:00
Regardless on your take about his antics, it seems clear the fraud prosecution had a lot more to do with his pharma antics than the government actually caring that much about how he paid back investors at prior companies, especially since to my knowledge none of his investors were going to the government with complaints. No one gave a shit about the guy until his (seemingly legal) pharma 'gouging' practices pissed off a huge segment of influential people.
by __jonas | 2025-09-30 17:14:47+00:00
> I guess I'm trying to understand your comment. Is there a distinction you're making between LLM summaries or LLM generated text, or are you stating that they aren't being transparent about the summaries being generated by LLMs (as opposed to what? human editors?).

The main point of my original comment was that I wanted to understand what this is, how it works and whether I can trust the information on there, because it wasn't completely clear to me.

I'm not super up to date with AI stuff, but my working knowledge is that I should never trust the output of an LLM and always verify it myself, so therefore I was wondering if this is just LLM output or if there is some human review process, or a mechanism related to the citation functions that makes it output of a different, more trusted category.

I did catch the message on the loading screen as well now, I do still think it could be a little more clear on the individual articles about it being LLM generated text, apart from that I think I understand somewhat better what it is now.