MurphyA/hacker-news huggingface dataset:
by NitpickLawyer | 2025-08-05 14:48:11+00:00
Sorry to be that guy, but you're using it wrong. The best flows right now are architect -> act -> test. First you have a session in "architect" / "plan" mode (depending on your ide/tool) where you discuss, ask questions, etc. Then, when everything is clear in "chat" mode, you ask the model to make a plan. You verify the plan, and then you tell it to start implementing it. You still get to approve tools, calls, tests, etc. You can also provide feedback on the way if you missed something (i.e. use uv instead of pip, etc).

Coding in a chat interface, and expecting the same results as with dedicated tools is ... 1-1.5 years old at this point. It might work, but your results will be subpar.
by GabrielBianconi | 2025-08-05 14:48:11+00:00
We set up dataset splits and the usual best practices. Of course, if you overdo things, you can still hack benchmarks; our goal isn't to publish SOTA numbers but rather to illustrate results from our methodology. We didn't even tune hyperparameters, we just used the default choices. Definitely a valid concern for teams chasing SOTA though.

Thanks!
by anonzzzies | 2025-08-05 14:48:30+00:00
I think this still is some kind of 'fight' between assisted and more towards 'vibe'. Vibe for me means not reading the generated code, just trying it and the other extreme is writing all without AI. I don't think people here are talking about assisted : they are taking about vibe or almost vibe coding. And its fairly terrible if the llm does not have tons of info. It can loop, hang, remove tons of features, break random things etc all while being cheerful and saying 'this is production code now, ready to deploy'. And people believe it. When you use it to assist, it is great imho.
by abeppu | 2025-08-05 14:48:45+00:00
From a study looking at cost-effectiveness of tafamidis:

> Orphan drugs enjoy substantial pricing power because there are few or no therapeutic competitors. As a result, discounts off the list price, if any, tend to be small. In a recent study of 50 patients receiving tafamidis, the mean (SD) cost of a 30-day supply was $23,485 ($2); the resulting annual cost of $281,820 is greater than the $225,000 list price we assumed. In fact, U.S. prices for specialty pharmaceuticals typically experience substantial year-on-year price increases during the period of market exclusivity.

I mean, we shouldn't be surprised what happens to prices when the law goes out of its way to create a monopoly.

https://pmc.ncbi.nlm.nih.gov/articles/PMC8170666/
by samfeldman | 2025-08-05 14:48:46+00:00
Thank you! Most of the users so far have come from X ads (like this, for example - https://x.com/sam_feldman_/status/1930488932132671529)

Some have also come from Google ads and organic search.

I'm hoping to expand more into wholesome / viral birthday videos where we give strangers gifts on their birthdays. Kind of like this one (https://www.youtube.com/watch?v=gSOt2_dIiPI).
by rwmj | 2025-08-05 14:49:34+00:00
Not to mention the weight, power demands and (to some extent) noise!

At one point I did have two hardcards plugged into my Amstrad 8086 machine which felt pretty decadent. (Or maybe it was a hardcard plus the internal hard drive?) In total it wasn't even 100MB of storage. https://en.wikipedia.org/wiki/Hardcard
by izzydata | 2025-08-05 14:49:34+00:00
I don't believe that literal typing of code is the limiting factor in development work. There is the research and planning and figuring out what it is even you need to develop in the first place. By the time you know what questions to even ask an LLM you are not saving much time in my opinion. On top of that you introduce the risk of LLM hallucination when you could have looked it up from a normal web search yourself in slightly more time.

Overall it feels negligible too me in its current state.
by OtherShrezzing | 2025-08-05 14:49:37+00:00
If you think your CC wireframe has taken approx as much time as it'd have taken you with another tool like Figma + spec-writing, and one of your engineering team's options is "rewrite it from scratch" (without a spec), has the use of CC saved your company any time at all?

It reads like this project would have taken your company 9 weeks before, and now will take the company 9 weeks.
by bpt3 | 2025-08-05 14:49:38+00:00
They are using them, just in a curated and deliberate way.

I use it similar to the parent poster when I am working with an unfamiliar API, in that I will ask for simple examples of functionality that I can easily verify are correct and then build upon them quickly.

Also, let me know when your calculator regularly hallucinates. I find it exhausting to have an LLM dump out a "finished" implementation and have to spend more time reviewing it than it would take to complete it myself from scratch.
by fakedang | 2025-08-05 14:49:47+00:00
Yep. Next in line is going to be debanking political opponents and opposition PACs, preventing them from campaigning effectively. And from the news yesterday, Texas has already taken a step ahead and has begun trying to arrest Democrats who are out-of-state.

William Dudley Pelley and George Rockwell would be so proud of the Republican party today.
by seabass-labrax | 2025-08-05 14:49:51+00:00
I fully agree with you with regard to Reddit misinformation. However, to the extent that a boycott on Mastercard and VISA would be successful, I believe it would have almost the same effect on Stripe and PayPal. If it's PayPal and Stripe that are actually responsible for this deeply unpopular policy, but Mastercard and VISA that are getting all the bad publicity, then Mastercard and VISA are not going to keep dealing with PayPal and Stripe!

These kinds of intermediaries can be very convenient for both the merchant and the consumer, but they are not essential for most users. Indeed most of the hurdles in the way of merchants accepting payment by card directly are artificially created by VISA and Mastercard themselves, so it's within their control to loosen the rules and sideline PayPal and Stripe.
by sixdimensional | 2025-08-05 14:50:36+00:00
I agree with you.

I used to work in green screen text based UIs from the 80s (TUI).

Power users didn't need search or anything else - they memorized the keystrokes to navigate the text UI and could just type key combinations to blaze through the UI faster than it could render on the screen.

I've never really seen anyone able to replicate that UI in a browser based or GUI desktop app to be honest.

Power users are a different use case, although the end goal is to remove the need for clicks.

I don't believe chatbots/AI assistants are a panacea, definitely encourage the architects of this new ERP platform to weigh the pros and cons.

That said, two jobs back I worked for a major manufacturing company that used the old GUI destop based Oracle EBS ERP. To automate repetitive workflows they were trying to implement UIPath (RPA automation - it drives the UI for the user) on top of the GUI.

This is what lead me to believe that if the ERP application's functionality is discoverable by an AI assistant, it can be used to automate or navigate on behalf of the user, or as part of complex workflows.

That can be done later after the basics are addressed - my only advice would be to just consider it sooner, even if you don't build it first.

It's a little easier to think of how one might simplify the workflows and design for automation into the core of the product, via the UI, APIs, etc earlier than later.

But in general - focus on the user's needs first and different roles/personas - just don't completely ignore new types of automation workflow opportunities (i.e. AI assistants/chatbots).

My opinion only.
by sunscream89 | 2025-08-05 14:50:55+00:00
Only in that human ethics are hypocritical.

Simple truths for simple solutions

* State is a representation of not identity within existential reality (brief refutation of modern information theory.)

* all selves are their own domain or of the domain to which they belong. None have the right to interfere with the domain of another in any way in breach of law

* law is the aspect of order [of domain], the interface of breach (a violation among bodies), the ultimate resolve of domain (the domain’s highest right to settle violations.)

* law is principled upon existential Truth. If there are no for instances, there is no Truth.

* law serves to protect the unculpable bodies from breach (violation) by “will or neglect” (lawful freak accident aside.)

* authority of law is determined by the highest rightfully entitled enclosing domain. This authority must be competent and uncorrupted before law.

* any competent lawful peer (citizen) may mitigate immediate apprehensions for lawful resolve of a violation.

* law comes from lawful citizen actors (bodies of a domain), authority is a lawful delegation of this right to “mitigate resolve of breach” upon another. A form of social contract.

So empowered every actor may qualify if they are an authority (or other form of actor in a process of immediate or eventual account or action.)

So empowered what constitutes a “violation” upon another and who is responsible (by their lives) for transgressions may be deduced and some semblance of civilizing account may be kept (for like it or not, law is a foundation of civilization.)

Thoughts feelings and beliefs are never enough to infringe upon another, however Truth and Law before power (of one over another) is worth the lives of men.
by mavamaarten | 2025-08-05 14:50:55+00:00
Yeah. I just need to babysit it too much. Take copilot, it gives good suggestions and blows me away sometimes with a block of code which is exactly what I'd type. But actively letting it code (at least with gpt4.1 or gpt4o) just doesn't work well enough for me. Half of the time it doesn't even compile, and after fixing that it's just not really correctly working either. I'd expect it to work like a very junior programmer, but it works like a very drunk senior programmer that isn't listening to you very well at all.
by taeric | 2025-08-05 14:50:58+00:00
Having an online comments section would also be an obligation to make sure it isn't getting abused. Probably resulting in yet another inbox you have to stay on top of. (Well, optimistically, it would be that. I try and never forget that the expected outcome is just flat out silence.)

It does seem that many of us have completely different mindsets for online commenting. They say that tone is lost in text, which is certainly true. Probably better thinking of it as the color magenta. That is, a bit of a fake thing that is often fully inferred by our brains from other signals.
by cowmix | 2025-08-05 14:51:14+00:00
Yeah, it’s wild how many projects—especially container-based ones—have already jumped to Debian Trixie as their “stable” base, even though it’s still technically in testing. I got burned when linuxserver.io’s docker-webtop suddenly switched to Trixie and broke a bunch of my builds that were based on Bookworm.

As you said, Debian 13 officially lands on August 9, so it’s close—but in my (admittedly limited) experience, the testing branch still feels pretty rough. I ran into way more dependency chaos—and a bunch of missing or deprecated packages—than I expected.

If you’re relying on container images that have already moved to Trixie, heads up: it’s not quite seamless yet. Might be safer to stick with Bookworm a bit longer, or at least test thoroughly before making the jump.
by 0x676f64 | 2025-08-05 14:51:17+00:00
Built for true baseball junkies, MLB Scoreboard turns any game into a data-rich experience right inside your browser. It delivers live box scores, pitch-by-pitch breakdowns, real-time scoring plays, game situations, and stat overlays—all in a clean, fast UI. One click reveals player stats, advanced metrics, and now even video links to scoring plays via MLB Film Room. No ads, no fluff—just the good stuff. Think of it as a fan’s command center, baked into your tab.
by kldg | 2025-08-05 14:51:29+00:00
it's not in a shareable state; is unsafe as-is. can share general idea and sample "webpage" files, though.

the server ("lodge") passes JSON to the client from what are called .branch files. the client receives JSON, parses it, then builds the UI and state representation from the JSON, then stored in that client's memory (self.current_doc and self.page_state in python client).

branches can invoke waterwheel (.ww) files hosted on the lodge. waterwheel files on the lodge contain scripts which define how patches (as JSON) are to be sent to the client. the client updates its state based on the JSON patch it receives. sample .branch and .ww from python implementation (in pastebin so to not make everyone have to scroll through this): https://pastebin.com/A0DEZDmR
by antonio07c | 2025-08-05 14:51:33+00:00
Location: Pennsylvania, USA Remote: Yes / Hybrid / On-Site Willing to relocate: Yes Technologies: Angular, React, NextJs, Typescript, Javascript, SQL Server, PostgreSQL, REST APIs, AWS, CSS, Tailwind CSS Résumé/CV: https://docs.google.com/document/d/1ojaYUBJrBJ874rwV9QFlitbMuFTP9Rwf Email: antonio07c@gmail.com

I'm a Senior Software Engineer with 15+ years of experience building web applications. I have strong back-end experience to create efficient, scalable and maintainable web solutions, I currently work near Pittsburgh, PA and hold a TN Visa. If you have a job opportunity or just want to play chess reach out to me!
by megaloblasto | 2025-08-05 14:51:50+00:00
I thought this would be another AI hate article, but it made some great points.

One thing that AI has helped me with is finding pesky bugs. I mainly work on numerical simulations. At one point I was stuck for almost a week trying to figure out why my simulation was acting so strange. Finally I pulled up chatgpt, put some of my files into the context and wrote a prompt explaining the strange behavior and what I thought might be happening. In a few seconds it figured out that I had improperly scaled one of my equations. It came down to a couple missing parentheses, and once I fixed it the simulation ran perfectly.

This has happened a few times where AI was easily able to see something I was overlooking. Am I a 10x developer now that I use AI? No... but when used well, AI can have a hugely positive impact on what I am able to get done.
by rel2thr | 2025-08-05 14:52:11+00:00
It’s true the traditional software development team structure won’t scale 10x

You have to change the organization.

- no peer code review, u review the AI output and that’s enough

- devs need authority to change code anywhere in the company. No more team A owns service A and team B owns service B

- every dev and ops person needs to be colocated, no more waiting for timezones

- PMs and engineers are the same role now

Will it work for every company? No , if you are building a pacemaker , don’t use AI . Will things break? Yes sometimes but you can roll back.

Will things be somewhat chaotic? Yes somewhat but what did you think going 10x would feel like?
by jonathanstrange | 2025-08-05 14:52:51+00:00
I've tested Gemini Pro 2.5 yesterday with a function I had troubles with. It wasn't something I can't do, just one of those things easy to get wrong that I postponed because I lacked focus that day due to a heat wave. The AI spit out a perfect function with working tests after the first prompt.

Now I don't want to sound like a doomsayer but it appears to me that application programming and corresponding software companies are likely to disappear within the next 10 years or so. We're now in a transitional phase were companies who can afford enough AI compute time have an advantage. However, this phase won't last long.

Unless there is a principal block to further enhance AI programming, not just simple functions but whole apps can be created with a prompt. However, this is not where it is going to stop. Soon, there will be no need for apps in the traditional sense. End users will use AI to manipulate and visualize data and operating systems will integrate the AI services needed for this. "Apps" can be created on the fly and are constantly adjusted to the users' needs.

Creating apps will not remain a profitable business. If there is an app X someone likes, they can prompt their AI to create an app with the same features, but perhaps with these or those small changes, and the AI will create it for them, including thorough tests and quality assurance.

Right now, in the transitional phase, senior engineers might feel they are safe because someone has to monitor and check the AI output. But there is no reason why humans would be needed for that step in the long run. It's cheaper to have 3 AIs quality test and improve the outputs of one generating AI. I'm sure many companies are already experimenting with this, and at some point the output of such iterative design procedures will have far less bugs than any code produced by humans. Only safety critical essential features such as operating systems and banking will continue to be supervised by humans, though perhaps mostly for legal reasons.

Although I hope it's not but to me the end of software development seems a logical long-term consequence of current AI development. Perhaps I've missed something, I'd be interested in hearing from people who disagree.

It's ironic because in my great wisdom I chose to quit my day job in academia recently to fulfill my lifelong dream of bootstrapping a software company. I'll see if I can find a niche, maybe some people appreciate hand-crafted software in the future for its quirks and originality...
by cryptonym | 2025-08-05 14:52:58+00:00
> It appears Cloudflare confused Perplexity with 3-6M daily requests of unrelated traffic from BrowserBase, a third-party cloud browser service that Perplexity only occasionally uses for highly specialized tasks (less than 45,000 daily requests). Because Cloudflare has conveniently obfuscated their methodology and declined to answer questions helping our teams understand

This doesn't look great, especially when we look at the attention generated by the original post compared with that one!
by jve | 2025-08-05 14:53:00+00:00
It is great that particular tools enable employees automate stuff and make their work more effective.

From developer point of view I see that the effort would most certainly be diverted in another kind of solution.

But yeah, "citizen developer" stuff is a thing that microsoft pushes especially in Power Platform / Canvas Apps - one programs with WYSIWIG and Excel-like formulas (PowerFX)

But then again I wonder who are the people that can program in VBA and chooses excel. Is it the constraint around software they can use? An excel being a GUI which you don't have to implement? Anyways, a net positive for business.
by riedel | 2025-08-05 14:53:14+00:00
We are really happy with proxmox for our 4 machine cluster in the group. We evaluated many things, they were either to light or to heavy for our users and/or our group of hobbyist admins. A while back we also set up a backup server. Forum is also a great resource. I just failed to contribute a pull request via their git email workflow and I am now stuck with a non-upstreamed patch to the LDAP Sync (btw. the code there is IMHO not the best part of PVE). In general, while the system works great as a monolith, extending it is IMHO really not easily possible. We have some cludges all over the place (mostly using the really good API), that could be better integrated, e.g. with the UI. At least I did not find a way to e.g. add a new auth provider easily.
by lmb | 2025-08-05 14:53:30+00:00
Location: London, UK / Munich, Germany Remote: No, hybrid only Willing to relocate: Maybe Technologies: Go, C, eBPF, Linux Résumé/CV: on request Email: jobs@lmb.io

Systems engineer with ten years of experience building performance critical software. The past couple of years I’ve been maintaining the most popular Go library for working with eBPF (used by DataDog, Microsoft, etc.) and have contributed to the Linux network stack, the Go standard library and other high profile open source projects. Before that I built Quicksilver (global distributed db) and Unimog (anycast L4 load balancer) at Cloudflare. In my spare time I’ve dabbled in embedded operating systems, virtual machine monitors and emulators.

I’m self taught, learn by doing and enjoy going deep on a specific subject. After working as a fully remote open source maintainer I’m looking for a small team that values collaborating in person, in a strategic role owning a domain or problem space, with a view to leading a team.

I’m curious about problems that require exceptional performance and / or reliability in areas like power infrastructure, renewable energy, operating AI models at scale, non-LLM AI, hardware.
by nimos | 2025-08-05 14:53:52+00:00
Claude max is $200 a month.

Consider a fully loaded cost of 200k for an engineer or $16,666 per month. They only have to be >1.012x engineer for the "AI" to be worth it. Of course that $200 dollars per month is probably VC subsidized right now but there is lots of money on the table for <2x improvement.
by doodlebugging | 2025-08-05 14:54:04+00:00
The solar charging/recharging cam is the way to go. That was my #1 consideration since mine are deployed too far from any infrastructure and using a battery game camera just adds to the maintenance load.

I chose the inexpensive S220 cams because they fit my use case but I would expect that for your use case a different model would be needed. Here at my place I can use WiFi cams and do the nature monitoring with the only consideration or parameter that I have as a constraint being that the camera needs to be installed in a location that gets a minimum of 2 hours of sunlight daily on average.

When I first deployed one of my cams I had it in a non-optimum orientation, facing NNW instead of South so that the panel did not get direct sunlight at all. In that orientation working from a full charge on utility power pre-deployment I used the camera for two weeks before I redeployed it at the same location facing SSE. My initial plan was to position it using the Eufy mount installed on a post and the only post was N of the location I needed to monitor. After watching the battery charge cycle I determined that it would eventually discharge and require a utility top-off. I redeployed the camera on an old, cheap camera tripod a few feet from the initial location facing SSE so that the solar panel got adequate sunlight and in a matter of a few days it was topped off again.

I really like the solar powered cameras. They add flexibility to any deployment plan.
by hwayne | 2025-08-05 14:54:33+00:00
Entertaining collection of Folklore classifications. Some examples:

- T550.6. T550.6. Only half a son is born by queen who ate merely half of mango.

- A1066. A1066. Sun will lock moon in deep ditch in earth's bottom and will eat up stars at end of world.

- K87.1. K87.1. Laughing contest: dead horse winner.
by alistairSH | 2025-08-05 14:54:51+00:00
Is anybody (who has the data) actually claiming use of AI will make a single average engineering 10x faster/better?

Or the data showing something else... possibly, a company starts telling engineers to use AI, then RIFs a huge portion, and expects the remaining engineers to pick up the slack. They now claim "we're more efficient!" when they've just asked their employees to work more weekends.