MurphyA/hacker-news huggingface dataset:
by cryptonector | 2025-05-05 19:35:12+00:00
Except that now when you do need a tool like XSLT/XPath, jq, or yq, now you need bash. I use bash lots, but still I'd rather use a better language, like the ones you listed.

I'm being slightly hypocritical because I've made plenty of use of the filesystem as a configuration store. In code it's quite easy to stat one path relative to a directory, or open it and read it, so it's very tempting.
by perspectivessf | 2025-05-05 19:35:15+00:00
www.PerspectivesHealth.ai

Clinicians using our tool get 3+ hours back on day one. That’s why over 100 clinics signed up for our pilot — and why we’re hiring.

We’re looking for a frontend-heavy engineer who can own and ship full features end-to-end. You’ll work directly with the founding team on product that’s already in production.

Our stack: React, TypeScript, Tailwind.

You should: - Build fast and push clean code - Communicate clearly and stay cool under pressure - Have shipped real products that people rely on

What you’ll get: - Early equity in a company with substantial traction - A technical team that ships daily - Minimal meetings, zero fluff

Link something you've built here: https://docs.google.com/forms/d/e/1FAIpQLSdicQqgEXoz9Obyf7cT... No resumes unless you want to send one.
by xenodium | 2025-05-05 19:35:24+00:00
I would say:

- No account needed for anything.

- Usability (feels more lightweight yet familiar to posting on social media).

- Share anything from other apps (Safari, Google Maps, Twitter, Reddit...) and have it rendered in app. I use this a lot to save things like places I want to eat, music (share from Shazam), movies (share from letterboxd), etc.

- YouTube video links are rendered (and playable from Journelly).

- Simplicity of where your data is stored (single plain text file). Easily accessible and friendly to data preservation.
by photochemsyn | 2025-05-05 19:36:03+00:00
The recent flap over ChatGPT's fluffery/flattery/glazing of users doesn't bode well for the direction that OpenAI is headed in. Someone at the outfit appeared to think that giving users a dopamine hit would increase time-spent-on-app or some other metric - and that smells like contempt for the intelligence of the user base and a manipulative approach designed not to improve the quality of the output, but to addict the user population to the ChatGPT experience. Your own personal yes-person to praise everything you do, how wonderful. Perfect for writing the scripts for government cabinent ministers to recite when the grand poobah-in-chief comes calling, I suppose.

What it really says is that if a user wants to control the interaction and get the useful responses, direct programmatic calls to the API that control the system prompt are going to be needed. And who knows how much longer even that will be allowed? As ChatGPT reports,

> "OpenAI has updated the ChatGPT UI (especially in GPT-4-turbo and ChatGPT Plus environments) to no longer expose the full system prompt or baseline prompt directly."
by jfengel | 2025-05-05 19:36:19+00:00
Systemic racism isn't about consciously-held beliefs. That's just plain "racism".

Systemic racism is the kind of racism you participate in without realizing it. A really clear example: calling for the end of affirmative action in college applications, but not considering things like legacy admissions. Legacy admissions favor people who were not discriminated against in the past. So by being "not racist", it promotes racism.

You want admissions? Yeah, lots of things I do end up participating in systemic racism. My theater troupe is pasty white, and one reason for it is that we were already pasty white. It doesn't look like a welcoming place for people of color.

We tried to do something about that, and we didn't do a great job of it. We put other things ahead of solving that problem. That's systemic racism. Nobody held explicitly racist beliefs, but the effect was discriminatory.
by Glyptodon | 2025-05-05 19:37:40+00:00
Furniture is on my list of things where there used to be a range of "solid, and you can make some choices" that was accessible to a lot of people, that has turned into "you can get whatever you want as long as it's made of particle board and laminate and will have a very finite lifetime." Because the old "solid and you can make some choices" zone is mostly upper middle class plus now. (Naming of that site aside.)
by pi-err | 2025-05-05 19:38:58+00:00
Sounds a lot like "Google+ will catch Facebook in no time".

OpenAI has been on a winning streak that makes ChatGPT the default chatbot for most of the planet.

Everybody else like you describe is trying to add some AI crap behind a button on a congested UI.

B2B market will stay open but OpenAI has certainly not peaked yet.
by danenania | 2025-05-05 19:39:11+00:00
Thanks, I appreciate the feedback.

I think the reason you tend to see these same kinds of problems across tools is that you are running up against the reasoning limitations of the underlying models. I see my goal as trying to push that horizon out as far possible, and I think Plandex pushes it significantly farther than most other tools, but you do of course still run into those limitations.

That said, I think even setting aside improvements to the underlying models, there's a lot of potential to improve on these issues. I think they're all basically addressable at current capability levels, though they are difficult problems. It's what I'm personally most excited to work on.
by llsf | 2025-05-05 19:39:15+00:00
The most brain intensive activity I ever did at school, happened in the very last two years (so, ~20 years at school lead to it), when I rubbed my brain to Lambda Prolog.

I almost had headaches after intense thinking of problems and ways to solve them in lambda prolog. That was the most interesting and satisfying to physically feel the effect of high focus combined with applying what was a new logic.

Computer science at the university, taught me how to learn and explore new ideas. I might sound like my grandpa who told me when I was 8yo that using calculator would lead to people not able to count... and here I am saying that LLM might lead to people who do not know how to write.

Actually, I am a bit concern that we might produce more text in the short term because it is becoming cheap to write tons of documentation with LLMs. But those feel like death by Terms and Conditions, i.e. text that no one reads. So not only we would lose our ability to write, but we can seriously affect our ability to read. Sure LLM can summarize as well, but then we lose the nuances.

Nature is lazy, but should we be lazy and delegate our ability to think (read/write), to a software ? Think about it :)
by rukshn | 2025-05-05 19:39:19+00:00
I guess we could write a whole thread on incompetent managers, I used to work with a manager who's only talent is rephrasing something someone else said in a more serious way, or just telling something in a whole list of buzzwords that make him look he's talking something serious. In-fact when it can be summarized in few simple few words. Apart from that he had zero technical knowledge, and I still wonder how he came to that position
by koala_man | 2025-05-05 19:40:01+00:00
The article starts off saying that if you want people with real full stack experience, from kernel to UX, you need to grow it.

It goes on to say that it's hard to find and develop expertise for low level software like hypervisors.

What's the connection between the topics? It feels like two different rants.

If it's difficult to find kernel developers then wouldn't it help to not require them to also know web UX?
by stego-tech | 2025-05-05 19:40:09+00:00
Like everything, it's projection. Those who loudly scream against something are almost always the ones engaging in it.

Google screamed against service revenue and advertising while building the world's largest advertising empire. Facebook screamed against misinformation and surveillance while enabling it on a global scale. Netflix screamed against the overpriced cable TV industry while turning streaming into modern overpriced cable television. Uber screamed against the entrenched taxi industry harming workers and passengers while creating an unregulated monster that harmed workers and passengers.

Altman and OpenAI are no different in this regard, loudly screaming against AI harming humanity while doing everything in their capacity to create AI tools that will knowingly harm humanity while enriching themselves.

If people trust the performance instead of the actions and their outcomes, then we can't convince them otherwise.
by BeetleB | 2025-05-05 19:40:34+00:00
> Makes it an easier sell to devs, "you don't have to 'change' editors" and it makes setup easier if you happen to be using VSC

But tying it to an editor (including VSCode) means "you have to change editors".

I don't use VSCode, so any solution requiring it is a no-go.

When we have aider[1], which works with any editor/IDE, I just don't see the value in trying Cursor, et al.

[1] https://aider.chat/
by josteink | 2025-05-05 19:40:37+00:00
As someone who recently set up something similar in Emacs with eglot I had to ditch Python-LSP-server.

It was so incredibly slow to respond, even on a M2 Max MBP, that it lowered my productivity by orders of magnitudes (and made Emacs laggy).

Maybe I did something wrong? I don’t know.

What I do know is that I tried pyright instead as a different LSP-server for Python and I haven’t looked back.

It’s a night and day difference. It’s snappy and everything works as expected, with venvs and mypy too.
by dewarrn1 | 2025-05-05 19:41:06+00:00
So, in reference to the "reasoning" models that the article references, is it possible that the increased error rate of those models vs. non-reasoning models is simply a function of the reasoning process introducing more tokens into context, and that because each such token may itself introduce wrong information, the risk of error is compounded? Or rather, generating more tokens with a fixed error rate must, on average, necessarily produce more errors?
by obscurette | 2025-05-05 19:41:13+00:00
People thought that social media in our pockets can be amazing tool to help to connect the humanity if used correctly. And here we are.

And about oral exams ... I agree that these are amazing. In seventies and eighties when I was in school, most of exams were oral. But our society is really afraid of these, because oral exams are always subjective.
by no_wizard | 2025-05-05 19:41:35+00:00
Facebook had immense network effects working for it back then.

What network effect does OpenAI have? Far as I can tell, moving from OpenAI to Gemini or something else is easy. It’s not sticky at all. There’s no “my friends are primarily using OpenAI so I am too” or anything like that.

So again, I ask, what makes it sticky?
by grey-area | 2025-05-05 19:41:53+00:00
Well I think you’re correct that they know the jig is up, but I would say they know the AI bubble is about to burst so they want to cash out before that happens.

There is little to no money to be made in GAI, it will never turn into AGI, and people like Altman know this, so now they’re looking for a greater fool before it is too late.
by zoogeny | 2025-05-05 19:42:31+00:00
For several moments in the article I had to struggle to continue. He is literally saying "as an experienced LLM user I have no experience with the latest tools". He gives a rationale as to why he hasn't used the latest tools which is basically that he doesn't believe they will help and doesn't want to pay the cost to find out.

I think if you are going to claim you have an opinion based on experience you should probably, at the least, experience the thing you are trying to state your opinion on. It's probably not enough to imagine the experience you would have and then go with that.
I Got the Idea for an AI Email Generator While Bench Pressing 220 Pounds
by yourbigtechbro | 2025-05-05 19:43:49+00:00
Hello everyone, I just wanted to share a brief story about how my current project, Mailteorite, came to life. One day, I was at the gym, doing heavy bench presses (100 kg / about 220 lb). During my rest periods between sets, I was scrolling through my phone. I had just received promotional emails about protein supplements, and while checking one of them, I realized I was much more focused on the email design than on the offers themselves. I started thinking: "How can people create such clear and professional-looking emails?" As a developer, I knew there was a lot of coding behind this, but then the idea hit me: What if you could simply describe the email you want and a tool generates a beautiful template ready to be sent for you? At first, it was just a passing thought during a gym session. But once I got home, I started building a prototype... and that's how Mailteorite was born. Today, Mailteorite is a simple, AI-powered tool where you enter a prompt and it generates clean, optimized email templates that you can use immediately. https://www.mailteorite.com I'd love to hear your feedback or see a quick review! It would mean a lot and help me improve it even further.
by bigbadfeline | 2025-05-05 19:44:24+00:00
> someone who understands that, 9 times out of 10, social cohesion is more important than the truth

10 times out of 10, social cohesion and truth are almost orthogonal. That is, social cohesion is based on agreement, which is based on propaganda. In fact, social cohesion is easier with the truth because the fringe who follow the truth would also support the propaganda instead of opposing it.

9 times out of 10, the so called humanities try to undermine the truth in every way imaginable.
by r00fus | 2025-05-05 19:45:03+00:00
> Massachusetts, which has the highest percentage of college educated citizens in the entire country, also shot down ranked choice voting last year, because the math was too hard.

That's the ostensible reason - the reality is that Blue MAGA also really hates power challenges. Look no further than CA where they also shot down (even the possibility for local elections to consider) ranked choice voting.
by buu700 | 2025-05-05 19:45:14+00:00
In summary, the Luddites had a point. It doesn't mean they were ultimately correct, just that their concerns were valid.

Regardless of anyone's thoughts on genAI in particular, it's important for us as a society to consider what our economic model looks like in a future where technology breaks the assumption of near-universal employment. Maybe that's UBI. Maybe it's a system of universally accessible educational stipends and pumping public funds into venture capital. Maybe it's something else entirely.
by evandrofisico | 2025-05-05 19:45:28+00:00
I had a friend, already over 40 have a similar episode, mixing a conspiracy belief triggered by searching for patterns in data, incorrectly treated bipolar disorder and a HUGE amount of cocaine. It was not schizophrenia, but a long episode of mania with delusions of grandeur, where he was the main character on a erotic-thriller-like story.
by cjpearson | 2025-05-05 19:45:51+00:00
Not all non-profits are doomed. It's natural that the biggest companies will be the ones who have growth and profit as their primary goal.

But there are still plenty of mission-focused technology non-profits out there. Many of which have lasted decades. For example: Linux Foundation, Internet Archive, Mozilla, Wikimedia, Free Software Foundation, and Python Software Foundation.

Don't get me wrong, I'm also disappointed in the direction and actions of big tech, but I don't think it's fair to dismiss the non-profit foundations. They aren't worth a trillion dollars, however they are still doing good and important work.
by hirvi74 | 2025-05-05 19:46:22+00:00
I never was a fan of compound bows. I remember when I was participating in archery as a hobby. The instructor told us that in competition archery, if one uses a recurve bow, then winners are determined by who hits the bullseye (or closest) the most. In compound bow competitions, losers are determined by who hit the bullseye the least. It's a tongue in cheek way of emphasizing the ridiculous accuracy of compound bows.

I prefer the antiquity of recurve bows and the lesser amounts of maintenance that comes with them. Though, I also think compound bows are beyond dangerous in comparison.

I have found that recurve archers seem to be better about 'checking' their arrows after missed shots. Many compound users I have known think that as long as the arrow is not completely snapped, then it's safe to use. I just show them the Google images of what happens when an arrow with hairline cracks explodes the near instant the quick-release is released.

This issue can happen with high draw weight recurve bows, but I have never seen the damage like what a compound bow can do.

Always check your arrows, folks!
by Analemma_ | 2025-05-05 19:46:23+00:00
That's not at all the same thing: social media has network effects that keep people locked in because their friends are there. Meanwhile, most of the people I know using LLMs cancel and resubscribe to Chat-GPT, Claude and Gemini constantly based on whatever has the most buzz that month. There's no lock-in whatsoever in this market, which means they compete on quality, and the general consensus is that Gemini 2.5 is currently winning that war. Of course that won't be true forever, but the point is that OpenAI isn't running away with it anymore.

And nobody's saying OpenAI will go bankrupt, they'll certainly continue to be a huge player in this space. But their astronomical valuation was based on the initial impression that they were the only game in town, and it will come down now that that's no longer true. Hence why Altman wants to cash out ASAP.
by baby_souffle | 2025-05-05 19:46:33+00:00
That might work but if your Samsung example is behind cloudflare, you're basically going to have to block any and all access to cloudflare's Network.

And if telemetry.example-iot.com belongs to an AWS IP, it could change to another IP in their space at any time so your only recourse would be to limit connectivity to all of AWS which would effectively prevent you from accessing most things on the internet
by cpursley | 2025-05-05 19:46:35+00:00
> There is clear, obvious correlation between fluoridation and improved oral health.

Not once have I argued against fluoride for oral care. But I don't want it in my DRINKING water.

> We add vitamin A & D to milk and bread.

Right, and our (American) "bread" and milk is not just bad, it's total garbage. I mean really really bad vs civilized countries.

Here's another solution: Just eat real food and brush your teeth with proper toothpaste. I know, shocking!
by kristopolous | 2025-05-05 19:46:38+00:00
Honestly, I think it simply becomes the wrong modality at a certain level of engagement with any problem.

When human developing a project successfully you engage in different collective behaviors throughout the process. That's why the scrum/agile stuff that tries to normalize it doesn't actually work very well.

On computers, relationships are workflows and you need to do a dance of fluid relationships to use AI effectively throughout the execution process - otherwise that's why you either abandon it after you get to some point or you feel like you're just wasting time.
We're building AI native QA platform – how would you grow in a crowded QA space?
by pratik-tgx | 2025-05-05 19:46:46+00:00
We’re a small, bootstrapped team that’s been deep in QA consulting for a while. Across projects, we’ve seen the same issues repeat: • Test generation is slow and manual • Maintenance is painful (especially flaky selectors) • Reporting sometime sucks • Flaky tests kill confidence in automation

So we started building something that: • Observes browser interactions and generates Node.js test code • Uses AI (including vision models) for self-healing + stable selectors • Is now adding LLM + natural language support on top

We’ve spoken with several CTOs who manage teams of manual QA engineers. A recurring theme is that they want to empower those teams to move into automation, but are overwhelmed by the crowded landscape of tools claiming to do that.

Our challenge is that while we think we can genuinely help with our tool, the space is incredibly crowded: 1) No-code/low-code tools: Tricentis Tosca, Leapwork, Reflect, ACCELQ, Katalon, so many others 2) AI-native startups (many YC-backed): Browser Use, Momentic, Meticulous, Fix AI, Spur, Browser Base, Intryc, Skyvern, BugBug, and ton of them. 3) RPA: UIPath, Automation Anywhere, Blueprism 4) Plus tons of QA consulting companies offering bundled services and their products

Even with all these tools, we’ve found that complex, product-specific test cases still fall through the cracks. That’s why many teams still rely on Selenium, Cypress, or Playwright to build custom frameworks — especially when they need deeper logic, API integration, CI/CD workflows, or custom deployment handling.

⸻

Where we’re stuck: 1) We generate actual code, so our ideal user is SDETs, QA automation engineers, or developers 2) But we don’t want to leave behind manual testers who want to do automation 3) Should we build a no-code UI layer on top now — or focus on technical users first?

Also, from a go-to-market perspective: 4) Should we open source the base tool and build developer trust? 5) Should we go closed-source SaaS from the beginning? 6) Or productize as a QA service powered by our internal tool, like QA Wolf, Muuktest or Rainforest QA?

Right now, we’re actively interviewing CTOs, VPs of Engineering, and senior engineers to understand where we can deliver the most value — and whether this is something they’d actually buy.

If you’ve built a devtool, QA platform, or anything in a competitive B2B space: • How would you approach this today? • Would you prioritize devs or manual testers? • Would you start with open-source, SaaS, or productise service?

Thanks for reading!
by zchrykng | 2025-05-05 19:47:10+00:00
Seeing as mathematicians proving things in math has minimal relation to the real world, I'm not sure how important this is.

Mathematicians and physicists have been speculating about the universe having more than 4 dimensions, and/or our 4 dimensional space existing as some kind of film on a higher dimensional space for ages, but I've yet to see compelling proof that any of that is the case.

Edit: To be clear, I'm not attempting to minimize the accomplishment of these specific people. More observing that advanced mathematics seems only tangentially related to reality.
by ajsnigrutin | 2025-05-05 19:47:15+00:00
> If it's difficult to find kernel developers then wouldn't it help to not require them to also know web UX?

That means hiring two people, and in $current_year, companies expect one person to know everything. Sysadmin, backend programmer, frontend programmer, designer and a DBA used to be different people not that long ago, now they expect one person to do all that... + it seems they want kernel development experience now.
by kiicia | 2025-05-05 19:48:17+00:00
> Mathematicians Weinan Lin, Guozhen Wang, and Zhouli Xu have proven that 126-dimensional space can contain exotic, twisted shapes known as manifolds with a Kervaire invariant of 1—solving a 65-year-old problem in topology. These manifolds, previously known to exist only in dimensions 2, 6, 14, 30, and 62, cannot be smoothed into spheres and were the last possible case under what’s called the “doomsday hypothesis.” Their existence in dimension 126 was confirmed using both theoretical insights and complex computer calculations, marking a major milestone in the study of high-dimensional geometric structures.
by jjani | 2025-05-05 19:48:59+00:00
Casinos, scams (both of these Web3 as well as traditional), game hack developers, ransomware and database hackers. Adtech, which thousands of HNers work in (anyone at Google). Temu, Shein, gacha/lootbox games, dopamine drug dealers (Meta, Bytedance). NSO group, spyware. Policeware, Clearview, surveillance tech. You could name defense as well, but I find that more ambiguous.

I wouldn't be surprised if it at least 25% of HN has worked for such companies for at least 2 years of their career.