MurphyA/hacker-news huggingface dataset:
by arsepam | 2025-11-11 07:43:58+00:00
Location: Hyderabad, India

Remote: Yes (preferred)

Willing to relocate: Open within anywhere in EMEA / Remote Worldwide

Technologies: Python (FastAPI, Django), Node.js (Express), AWS (Lambda, CloudFormation, Cognito, S3, API Gateway), PostgreSQL, MySQL,

Redis, Docker, CI/CD (GitHub Actions), ReactJS, Linux

Résumé/CV: https://drive.google.com/file/d/1N_mzioFGiwDrbdpP-LscLAdWvGU...

Email: sheikharsalan7222+hn@gmail.com

Hi! I’m Arsalan Sheikh, a backend engineer with 3+ years of experience building and scaling serverless systems in Python and JavaScript.

- At Airnguru (2024 – 2025): Built asynchronous FastAPI pipelines for BigQuery data processing (92% memory reduction in ETL runs), optimized API responses by 96% using gzip compression, and provisioned isolated customer stacks with CloudFormation and Cognito RBAC.

- At Kore.ai (2023 – 2024): Developed middleware services in FastAPI and ExpressJS for AgentAssist integrations with Salesforce and Genesys, implemented Redis caching, JWT security, and CI/CD deployments for containerized Lambdas.

- Before that (part-time and volunteer): Led backend work for the Office of Career Services at IIT Hyderabad (2021 – 2023) building skill-based filtering and DB cleanup automation tools, and interned with SuperPe and Samsung Research on FastAPI dashboard pipelines and internal CLI tooling.

I enjoy solving performance bottlenecks, designing clean APIs, and automating cloud pipelines. Currently open to remote backend engineering roles (part-time or full-time) in Python/Node ecosystems and open to using other backend stacks.

If you’re hiring for a small team that values clarity, ownership, and efficient code, I’d love to chat. Please reach out at sheikharsalan7222+hn@gmail.com
by yorwba | 2025-11-11 07:44:05+00:00
"Does that statement actually reflect what Netflix truly think and that they actually believe GenAI shouldn't be used to replace or generate new talent performances?"

The if-statement "If you want to do X, you need to get approval." probably does actually reflect what Netflix truly think, but it doesn't mean they believe X shouldn't be done. It means they believe X is risky and they want to be in control of whether X is done or not.

I don't see how you could read the article and come away with the impression that Netflix believe GenAI shouldn't be used to replace or generate new talent performances.
by sipjca | 2025-11-11 07:44:19+00:00
looks like a paid and closed source fork of the free and open source project Handy: https://github.com/cjpais/Handy

can't say for sure, but a lot of the UI (and text) is quite familiar. the history page is a near rip off which is a giveaway.

i believe the mit license should be distributed since it's almost certainly a derivative work.

"The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software."

I can't confirm if the license is infact distributed, since I would have to pay $50, which quite frankly I'm not going to do.

a bit sad to see a ui reskin claimed as original work. the reskin is totally fine, but I believe the license must be distributed. i believe in the proliferation of this software so im happy to see this overall (it's good enough someone wants to charge for it! that's a big win!) but it's just a bit of a shame how this project has gone about it imo.
by sysguest | 2025-11-11 07:44:45+00:00
> But they do what they say they do on the box

fuk no

their spec is overbloated SHT.

I've never seen a router crawl like 300kbps on a 1.2gbps line (simply changing that to a no-named cheap generic one got me 880mbps)

fck I don't even care about backdoors -- even if you put them, just fking at least make them up-to-spec
by nabla9 | 2025-11-11 07:45:00+00:00
On contrary, it's sad that he can't see how his "I Don't Buy What I Can't Understand" strategy wins again. Buffet thrives when bubbles burst.

More than third of Berkshire valuation is now cash. Berkshire has $350 billion USD in cash and cash equivalents. They accumulate cash because they don't find enough things worth buying (all stocks seem too expensive for them). When the bubble bursts, there will be undershoot and Berkshire starts buying.
by Ekaros | 2025-11-11 07:45:33+00:00
I fully and absolutely agree future is bright. Soon we can outsource both the work and the ideas to LLMs. Make fully automated system to produce fully complete novels, music, movies, videos and software. Just prompt AI to make a movie, book, music or even SaaS. No humans involved. Absolute superior system. Just instruct LLM to start producing programs and monetizing them. No ideas needed, no effort. No thought.

You can even source ideas from it. No need to think or have any personal input anymore.
by surajrmal | 2025-11-11 07:45:45+00:00
That depends on your definition of systems programming. Go and java are not fit for low level OS or embedded development. They are too memory hungry. A lot of software runs on hardware other than servers. iot, auto, tvs, phones, watches, etc all have much tighter requirements on acceptable software overhead from languages employed. Also, the more memory and CPU you use in systems layers, the less that is available for higher level layers, which are often written in higher level languages and desire the majority of the devices resources.
by petargyurov | 2025-11-11 07:46:20+00:00
I too have fond memories of my dad driving me around in our navy blue Lada. Not sure what the model was, but it was the one with rectangular headlights, not round. The chassis on that thing was solid metal.

I remember one time when I was in the back and my dad took a rather sharp turn at a major junction and the rear door swung open. I calmly alerted him to the situation and with one hand on the steering wheel and one hand reaching behind, somehow got the door closed whilst I sat semi-afraid for my life.

I remember the horn also broke so he rewired it to a custom red button that he mounted on the driver's door handle.
by rmnclmnt | 2025-11-11 07:46:42+00:00
Currently working on two OSS projects:

Laketower: https://github.com/datalpia/laketower A lightweight data lakehouse exploration and management app (web+cli), using DuckDB as the default query engine. It can run locally or self hosted, and for now statically configured only. Hope to integrate Iceberg and Ducklake support by end of year.

Modelship: https://github.com/datalpia/modelship An ML model to app generator. For now, only ONNX models are supported as input, and only static website as target (onnx runtime web wasm/webgpu). I intend to also work more on it the following weeks/months, especially to support more model I/O types, and add support for more targets (REST API, CLI, etc).

These 2 projects were born from professional activity needs but are a nice playground to learn and try new things
by danenania | 2025-11-11 07:48:24+00:00
We’re using AI tools heavily but also ask candidates to code without it in interviews, and I think it’s reasonable.

Even if you are primarily using codegen, your own coding ability, taste, problem solving, etc. are still deciding inputs to the quality of the final result. And it’s much easier to assess these things in an hour when a human is writing and debugging a relatively small amount of code.

AI tools just produce too much code in a short time. It’s hard to assess what the candidate’s quality bar and attention to detail are really like when there’s so much code to wade through. Anyone can vibe code, but not many can do it without creating mountains of tech debt… the ones who can are usually good programmers with or without AI.
by gizmo686 | 2025-11-11 07:48:36+00:00
The recent immunity decision isn't particularly relevant to civil suits.

Presidents have had civil immunity since Mississippi vs Johnson (1867), which was reaffirmed in Nixon vs Fitzgerald (1982).

Barr v. Matteo (1959) is probably most on point here; providing immunity from libel for statements made by government officials as part of their job.
by NewsaHackO | 2025-11-11 07:49:08+00:00
> The text sections take implementation details that don't matter and present them to the user like they need to know them. It's also outdated.

The point of the wiki is to help people learn the codebase so they can possibly contribute to the project, not for end users. It absolutely should explain implementation details. I do agree that it goes overboard with the diagrams. I’m curious, I’ve seen other moderately sized repo owners rave about how DeepWiki did very well in explaining implementation details. What specifically was it getting wrong about your code in your case? Is it just that it’s outdated?
by arvida | 2025-11-11 07:51:20+00:00
I'm building https://localhero.ai. Automated i18n translations that run in your CI pipeline.

I have worked as dev in many different constellations of the years, and seen many teams choose between bad options like delay feature launches for manual translations, ship incomplete translations and promise "we'll translate it later," or lately use ChatGPT/LLMs that lose consistency/context and require coordination.

Localhero starts from the premise that translations are part of CI. New strings get translated automatically in GitHub Actions, with glossaries and style guides so it sounds like your product and not generic AI output.

Goal is to help product teams ship localized features without all the coordination/delay.
by antonvs | 2025-11-11 07:52:10+00:00
I was offered a MUMPS job in the 1980s. I took one look at the code and very quickly concluded that life was too short for that.

Later I got into programming language theory, and took another look at MUMPS from that perspective. As a programming language, it’s truly terrible in ways that languages like COBOL and FORTRAN are not. Just as one example, “local” variables have an indefinite lifetime and are accessible throughout a process, i.e. they’re not scoped to functions. But you can dynamically hide/shadow and delete them. It would be hard to design a less tractable way of managing variables if you tried.

MUMPS’ value proposition was how it handled persistent data as a built-in part of the language. In that sense it was a precursor to systems like dBASE, which were eventually supplanted by SQL databases. MUMPS was a pretty good persistent data management system coupled with a truly terrible programming language.
by tonyedgecombe | 2025-11-11 07:53:32+00:00
It worked in NetNewsWire, a macOS feedreader.

RSS is a bit of a pain as most feed readers will accept malformed XML (unlike Atom feeds). Hence you end up with a lot of malformed XML.

Having said that it mostly looks valid:

https://validator.w3.org/feed/check.cgi?url=https%3A%2F%2Fst...
by formerly_proven | 2025-11-11 07:54:19+00:00
Squirrels don't really hoard in the sense trillionaires do ("gathering a great quantity for one's own private collection"), they take seeds and bury them all over the place, which is meaning #2 in the dictionary ("save in one's mind for a future need or use"). The squirrel and other animals eat them later, the 50+% nobody finds to eat can take root. That way, squirrels play an important role in seed dispersal for many species of tree.

I suppose the trillionaire analogy would be they themselves investing money.
by Dylan16807 | 2025-11-11 07:54:34+00:00
You know what, I didn't read the middle comment in this thread closely enough before my first reply. You're right that an Australian circuit doesn't help much, and the voltage on such a circuit is useless.

A UK circuit on the other hand would fix everything. It has the same number of amps (or maybe more), but double the voltage.

The problem isn't purely amps or volts, but in general home circuits tend to have a similar number of amps, and higher power usually goes hand in hand with higher voltage. That's the sense in which voltage fixes the problem. A US appliance staying well within amp limits has a lot less power than a UK appliance staying well within amp limits.
by ACCount37 | 2025-11-11 07:55:22+00:00
Before LLMs, it wasn't even clear how much expressive power human languages have when divorced from the innate properties of human mind or other sensory inputs.

An LLM being able to pick up on so many features of human mind, despite not being innately human, just by looking at the text-only language data? Not an outcome everyone expected. Far from it.
by mock-possum | 2025-11-11 07:55:58+00:00
> Another issue, as I’ve pointed out in the past, is that these AI-generated songs are taking attention – and money – away from actual songwriters and artists

Sorry, no, I find this all to be a bit too precious by half - I don’t think country fans have the discerning musical taste that the author somehow expects here. Attention and money is “taken” away? No, dude, people are giving their money and their attention, willingly, eagerly even, to this “ai slop.”

People used to support “actual songwriters and artists” because they had no choice, there was no other source of music! Not because they thought there was something special and worthwhile about the songwriters and the artists themselves, by and large.

I don’t think you have any right to be ‘infuriated’ that your romantic ideals about how people consume entertainment didn’t get born out over time as technology shifts and the market follows.

The reality we’re all been shown is: most people simply do not care for authenticity, for ‘real’ or for what is true… they just want something that makes them feel the way they expect, and they aren’t interested in thinking about it any further than that.

Why should this be true literally everywhere else, but not country music?
by matwood | 2025-11-11 07:57:06+00:00
I fly a lot and most people are using their phones now without issue. But when someone does have an issue I remind myself that many people rarely fly, and haven't been through the process hundreds of times. Phone, paper, whatever - people screw it up if they haven't done it before. Boarding first, pre-check/global entry are all beneficial in part because you're dealing with other frequent flyers.
by daliusd | 2025-11-11 07:57:07+00:00
I really feel the same about LLM generated code: LLM does not know what is good, it does not have `taste`. When I explain what's wrong with LLM I use the same word `taste` and it is kind of amusing that someone has the same feeling.

So why this matter if code works? If you will not look at it anymore then no problem at all, but that's definition of dead code that does not need support and will not be used anymore. I have projects that I do not support for years, but I can return to them anytime and work on them, because they age well like wine.
by anthk | 2025-11-11 07:58:38+00:00
Spaniard here. My dad owned a Lada Samara too; but infinitely tweaked in order to fit the standards on security from Spain in the 90's. It couldn't compete with most of the cars made form the West in the 90's (especially on acceleration and top speeds) but it worked without many issues over 20 years.

Yes, upon entering the cars of my friends' relatives it often was like entering an F16 because of how smoothly their hit 100 kph on highways, but I'm sure most of these modern cars with ABS and whatnot had had repairing/fixing issues in the upcoming years (and not cheap to fix).
by Jnr | 2025-11-11 07:58:47+00:00
How I digitized my family VHS tapes:

* I borrowed a good quality VHS player with SCART connector because it sends RGB in separate channels, improving quality considerably. Don't use the single channel composite video.

* Then I bought a cheap SCART to HDMI convertor and used a borrowed HDMI capture card.

* I recorded it with OBS studio and the resulting video looks very good.

So my total costs were about 20$ (for the adapter).
by xlii | 2025-11-11 07:59:26+00:00
Sorry for the late response but I just noticed your comment. I know UML and studied it for decades along with other diagramming solutions and this is something exactly opposite I aim for.

UML was made as a specification-through-visuals tool and I'm aiming at diagrams-as-communication tool. I.e. sure you can save them, but the use case I aim is that you hop on the video call, share screen and discuss specific concept with one of the diagram types.

Collaboration is a huge part of it, but since I've never seen my concept in realization I'm going to keep it hush-hush for a while :)
by Dylan16807 | 2025-11-11 07:59:37+00:00
People don't have infinite time. A mindset of never appreciating works on their artistic merits is terrible. But a mindset of appreciating with some works, while for other ones you just want the info please, is a perfectly reasonable way to operate.

Someone that just wants to wash dishes better shouldn't be forced to watch a 40 minute video to learn how. It doesn't mean they want slurry.

Or to put it another way: Imagine you had to watch a video essay to check the weather forecast. It would suck, even if they're good essays. Even moreso if you already have other essays you want to watch.
by opello | 2025-11-11 08:00:07+00:00
> Which is why zooming and panning exist.

Which loses fidelity in your raster format screenshot world. Alternatively, when text is presented as text, a user can scale it independently for readability. Or as another commenter pointed out, use a screen reader.

You focus on a kind of permissions or network limitation technical access, between the computers in the system, but don't seem to appreciate another very real type of technical access between the user and the leaf computer in the system.
by Luker88 | 2025-11-11 08:01:27+00:00
Sorry about the OT, but I see this more and more often:

Project License: MIT

Readme.md: "Project is about 80% Vibecoded.

80% of your project is public domain.

I'm not saying don't use AI. But at least shut up about how much.

This project uses MIT (which IMHO is already a small problem because it has no patent grant), but I see people vibecoding almost all of a project and then using AGPL.

Doesn't work like that. AI code can't be copyrighted. No copyright => public domain.

Please don't sleepwalk only to wake up to some company closing your projects and laughing at you.
by akvadrako | 2025-11-11 08:01:30+00:00
I find it quite hard to follow PRs when there is a lot of rebasing. I don't really find separate non-time-based commits useful.

So I agree but unfortunately it's the norm and policy for some clients.

Git-absord by default doesn't squash the fixups though, it creates new ones with special tags for easy rebasing later.
Privacy-First AI on Android: Tool-Neuron – Run LLMs and Tools Without the Cloud
by siddhesh2377 | 2025-11-11 08:01:43+00:00
My project Tool-Neuron is a privacy-first mobile AI hub for Android, built for users, developers, and creators who want full control of their AI.

Problems being solved:

Most AI assistants require internet, cloud services, or locked ecosystems. With Tool-Neuron you can run offline models (GGUF) locally—no data leaves your phone.

Users often can’t import custom models or use their own datasets. Tool-Neuron supports both offline model import and API access to 100+ models via OpenRouter.

Standard AI apps lack strong knowledge integration. With Tool-Neuron’s DataHub you can load dynamic datasets and tailor the AI’s knowledge to your work or interests.

Developers and power users are restricted by fixed model formats or one-provider systems. Tool-Neuron unifies model formats, warns of unsupported ones, and gives plugin and developer support.

What this means: If you want an AI assistant that respects your data, runs anywhere (even without internet), and can grow with you—from simple chats to loaded knowledge packs and custom AI workflows—Tool-Neuron is built for that.

If you’re curious to try it, follow the GitHub repo and join the community for early testing and feedback.

Thanks for checking it out—feedback is really welcome.
by adrian_b | 2025-11-11 08:02:09+00:00
[-1,-1-n) and (-1-n, -1] are not the same thing, even if they contain the same elements.

They are the same thing as sets, when the order does not matter, but the ranges used in iterations are not sets, but sequences, where the order matters (unless the iteration is not a sequential iteration "for", but a "parallel for", where all the elements are processed in an arbitrary order and concurrently, in which case there exist neither forward iterations nor backward iterations).

Therefore (-1-n, -1] is actually the same as [0, n), where the array is accessed forwards, not backwards (the former range is used with a pointer to the first element past the end of the array, while the latter range is used with a pointer to the first element of the array).

The advantage of half-open ranges is not that you would always avoid adding ±1 but that you avoid the off-by-one programming errors that are very frequent when using closed ranges.

However, if that is what you wish, you could easily avoid any addition or subtraction of 1, by using pointers instead of indices. With half-open ranges, you use 2 pointers for accessing an array, a pointer to the first element and a pointer to the first element after the array. The C standard ensures that both these pointers are valid for accessing the array.

Then with these 2 pointers you can iterate either forwards

for (p=p1; p!=p2;) *p++;

or backwards

for (p=p2; p!=p1;) *--p;

There is no difference between the 2 directions and the overhead is minimum.
by rootlocus | 2025-11-11 08:02:14+00:00
I fail to see the point you're trying to make or the argumentative process by which you're trying to make it.

Consider this: the current administration has received gifts from private corporations in return for more lenient tariffs. Or consider the amount of law projects passed through congress directly from large corporations with their logo still on the paper. And this is just the blatant tip of the iceberg the current administration is brazen enough to show publicly.

> absolutely baffling to you and which probably makes a hundred obvious counter-arguments pop up in your head.

I can probably find a hundred obvious examples of conflict of interests, quid-pro-quos, or otherwise pro-corporation anti-consumer for any administration in history. But in the end, the proof is in the pudding. The rich are getting richer, the poor are getting poorer, while the government is issuing gold cards with the president's face on them for multi-millionaires to bring their business.

I'd be glad to hear a few of those hundred obvious counter-arguments.
by ZeroConcerns | 2025-11-11 08:02:48+00:00
I've pretty much stopped using 'stick' type storage for anything >256MB, as regardless of brand and series, my experience is that these thingies overheat under anything but light write usage, and either slow to a crawl or drop off the USB bus entirely before my copy is finished.

'Credit card' sized SSDs are not that much more inconvenient to carry and store, and don't exhibit any of these issues for me.

And the thermals on these things must be horrible, plus the label makes it look like a knock-off: Sandirk?