MurphyA/hacker-news huggingface dataset:
by 7e | 2025-08-22 06:25:24+00:00
In my experience, these cars are old and decrepit, and force you to breathe locomotive engine exhaust all the time, and especially when the train is idling. It’s a fast track to cancer. Don’t spend any more time than you need to in one. They do not offer the air quality of a modern passenger rail car. Heck, I wouldn’t even sleep in a modern rail car at night, in a rail yard, when all systems are off.
by starky | 2025-08-22 06:25:30+00:00
The Pixel 7 Pro is essentially 3 years old and I notice next to zero difference compared to my Galaxy S25. I argue for most people they wouldn't notice a speed difference between even a 3 year old mid-range SoC and today's flagship SoCs.

Poor battery life has much more to do with the size of the battery and how the CPU speed is managed in software. Today's SoCs, even mid range ones could suck a battery to zero in short order. At the end of the day, even if you have a newer SoC built on a more efficient smaller process node they turn around and run it at a higher clock speed and you lose the benefit.
by nullc | 2025-08-22 06:27:07+00:00
Better to think in terms of distrust rather than trust.

Presumably if a contributor repeatedly made bad PRs that didn't do what they said, introduced bugs, scribbled pointlessly on the codebase, and when you tried to coach or clarify at best they later forgot everything you said and at worst outright gaslit and lied to you about their PRs... you would reject or decline to review their PRs, right? You'd presumably ban the outright.

Well that's exactly what commercial LLM products, with the aid of less sophisticated users, have already done to the maintainers of many large open source projects. It's not that they're not trusted-- they should be distrusted with ample cause.

So what if the above banned contributor kept getting other people to mindlessly submit their work and even proxy communication through -- evading your well earned distrust and bans? Asking people to at least disclose that they were acting on behalf of the distrusted contributor would be the least you would do, I hope? Or even asking them to disclose if and to what extent their work was a collaboration with a distrusted contributor?
by Cervisia | 2025-08-22 06:28:11+00:00
There is nothing obviously suspicious with what's inside. The SATA form factor was designed for HDDs; solid-state drives usually are not much larger than a M.2 drive.

These flash part numbers look like Intel. This is actually plausible; until 2018, Intel and Micron had a flash partnership. And while their Crucial brand has some good high-end drives, they are also willing to sell absolute bottom-of-the-barrel trash.

What are these discrepancies, and what's off in the SMART values?
by isoprophlex | 2025-08-22 06:28:16+00:00
There used to be a supermarket that had these near my student housing complex in Utrecht (the Netherlands). Only place I ever encountered them. This was 20 years ago tho.

It was completely counterproductive, too. The edge of the zone was about 50% of the way home. Out of spite, we'd push the cart up to the edge, and leave it stranded there, carrying everything the last 200m ourselves.

Not proud of that in retrospect; it goes to show that you can't stop assholes with technology.
by i_don_t_know | 2025-08-22 06:28:41+00:00
I don’t remember what was used in printed materials. Probably Fraktur as you suggest. In high school we used Latin letters with arrows.

At university in the 1990s, they gave us a photocopied sheet with handwritten Sütterlin and Greek letters in the first lecture. The professor wrote the lecture notes onto a blackboard and we copied them by hand. It was definitely Sütterlin. But I believe nowadays people use Latin letters.
by skylurk | 2025-08-22 06:28:51+00:00
Farmers in poor countries will plant low-yield traditional varietals, even when a high yield option is available.

They might have twice the yield with the new varietal, but if their crop fails: they risk destitution and might even loose their land. So they rationally choose the proven lower-yield varietal. Their risk appetite is proportional to their savings, if they have any. A catch-22.

For low wage workers in America, is it that much different? So many people stay in badly paying jobs because if they loose access to health insurance they could loose their home. Or get sued over a non-compete they cannot afford to fight.

Seems like below some threshold of wealth, supply and demand don't apply anymore. People are forced to choose the least risky option.
by maigret | 2025-08-22 06:30:03+00:00
At work I need often smaller, short lived scripts to find this or that insight, or to use visualization to render some data and I find LLMs very useful at that.

A non coding topic, but recently I had difficulty articulating a summarized state of a complex project, so I spoke 2 min in the microphone and it gave me a pretty good list of accomplishments, todos and open points.

Some colleagues have found them useful for modernizing dependencies of micro services or to help getting a head start on unit test coverage for web apps. All kinds of grunt work that’s not really complex but just really moves quite some text.

I agree it’s not life changing, but a nice help when needed.
by motorest | 2025-08-22 06:31:21+00:00
> If you are writing code that is/can be "heavily borrowed" - things that have complete examples on Github, then an LLM is perfect.

I agree with the general premise. There is however more to it than "heavily borrowed". The degree to which a code base is organized and structured and curated plays as big of a role as what framework you use.

If your project is a huge pile of unmaintainable and buggy spaghetti code then don't expect a LLM to do well. If your codebase is well structured, clear, and follows patterns systematically the of course a glorified pattern matching service will do far better in outputting acceptable results.

There is a reason why one of the most basic vibecoding guidelines is to include a prompt cycle to clean up and refactor code between introducing new features. LLMs fare much better when the project in their context is in line with their training. If you refactor your project to align it with what a LLM is trained to handle, it will do much better when prompted to fill in the gaps. This goes way beyond being "heavily borrowed".

I don't expect your average developer struggling with LLMs to acknowledge this fact, because then they would need to explain why their work is unintelligible to a system trained on vast volumes of code. Garbage in, garbage out. But who exactly created all the garbage going in?
by nullc | 2025-08-22 06:31:39+00:00
The person operating the LLM is not a meaningfully teachable human when they're not disclosing that they're using an LLM.

IF they disclose what they've done, provided the prompts, etc. then other contributors can help them get better results from the tools. But the feedback is very different than the feedback you'd give a human that actually wrote the code in question, that latter feedback is unlikely to be of much value (and even less likely to persist).
by swiftcoder | 2025-08-22 06:33:13+00:00
> "inject obfuscated text into the image... and hope some system interprets this as a prompt"

The missing piece here is that you are assuming that "the prompt" is privileged in some way. The prompt is just part of the input, and all input is treated the same by the model (hence the evergreen success of attacks like "ignore all previous inputs...")
by defrost | 2025-08-22 06:34:40+00:00
The lesson they should have learned from Commonwealth Bank is KYC, Know Your Criminals:

“But if they don’t understand local money laundering and terrorism financing risks, they are failing to meet” obligations around such activities in Australia.

ComBank knew how to put a tray of ANZAC biscuits out, provide little tin MoneyBanks with a slot for the CrimJrs, and partner in FrequentFlyer points with QUANTAS.

According to the article Binance Australia seems under resourced for such things:

Austrac also raised concerns about high staff turnover along with a lack of local resourcing and senior management oversight at the Australian unit of Binance, the world’s largest crypto exchange by volume.
by nullc | 2025-08-22 06:35:29+00:00
FWIW, I can say from direct experience people that other people are watching and noting when people are submitting AI slop as their own work, and taking note to never hire these people. Beyond the general professional ethics, it makes you harder to distinguish from malicious parties and other incompetent people LARPing as having knowledge that they don't.

So fail to disclose at your own peril.
by sayamqazi | 2025-08-22 06:36:12+00:00
Wouldnt you need the T_zero configuration of the universe for this to work?

Given different T_zero configs of matter and energies T_current would be different. and there are many pathways that could lead to same physical configuration (position + energies etc) with different (Universe minus cake) configurations.

Also we are assuming there is no non-deterministic processed happening at all.
by uncircle | 2025-08-22 06:36:18+00:00
Someone once posted a video by Jonathan Bi, a lecture on Rousseau and his views that intellectuals with large egos eventually play contrarian positions just to have a chance to argue and prove how smart they are; Rousseau’s opinion was that the democratization of knowledge, the printing press at the time as he couldn’t foresee the internet, would amplify this phenomenon until society would lose itself arguing about pretty much everything, and people would delight being contrarian even about the most mundane of things.

https://youtu.be/C8ucJ29O1kM?feature=shared

I have watched that lecture 6 months ago and I haven’t been able to read any forum, HN included, without being reminded of Rousseau’s discourse. The Internet and social media is a cacophony of skeptics and big brains that, if you were to tell water is wet, would earnestly open a debate on why that is not the case. It’s endless churning around the obvious, as everyone’s opinion is valid however idiotic and off-topic it is, there’s no foundation to build an intelligent argument before Johnny Anonymous comes to sidetrack it either with intentional trolling or just pedantic nonsense.
by jchw | 2025-08-22 06:37:42+00:00
> Honest question: after all the reports of co-mingled inventory, plain fakes etc. being sold by Amazon - for years i might add - do you really consider Amazon being a reliable source for anything that is not some unimportant trinket?

Not really 100% sure why you're getting down-voted (edit: I guess not anymore. Comment was gray when I replied.), but to answer your question, no. I do not trust Amazon for anything important.

I do still sometimes use Amazon in spite of this, only because they are nonetheless very useful. They have a very wide selection, and are often able to do same-day and 1-day shipping of almost anything even over here in some random suburbia. This has become important lately because things I used to just buy physically are no longer obtainable physically. For example, the last local electronics store went out of business, and the nearest Micro-Center is probably an hour drive or so, and that's not even as good for electronics.

Still, I'm always skeptical of Amazon. I never trust that the prices are the lowest, and often they're not. And I never trust that the product will be authentic, because it might not be, though it usually still is. And yep, the review system is bullshit. You can see people playing around with "variations" to basically group unrelated things, if not literally re-using an old Amazon product ID. And when you search for anything, even if Amazon actually has decent products from known brands, they'd prefer to show you key-smash anonymous Chinese brands instead, even when the prices aren't that much cheaper anyway.

But, that's just how it goes. People voted with their wallets and they chose Amazon, and now that they did and all of the smaller local shops are all dead, Amazon doesn't really need to worry about competing with them anymore.
by ath3nd | 2025-08-22 06:38:08+00:00
> They can just buy other companies for 5 years and coast

No, what they could do in the past is not at all how they can operate today. They can't afford to pay the rockstars anymore, they went through multiple rounds of layoffs. They can't afford to drop the stock too low also. Basically they are in a corner, and I love it. Fingers crossed that within the next five years they shake up upper management and Zuck is out.
by ars | 2025-08-22 06:39:14+00:00
It's most common in places with lots of elderly or homeless, both groups find these carts very useful and will simply take them, homeless to keep, elderly to abandon near their home once they have transported their groceries.

It's more also common in places where people walk, since it can be hard to bring groceries home on public transport.

So yes, very localized.

The shop near me doesn't have locking wheels (they used to, but stopped), instead they have a guy in a pickup that drives around occasionally, searching for carts.
by gtsop | 2025-08-22 06:41:21+00:00
Two years in and we are waiting to see all you people (who are free of our tunnel vision) fly high with your velocity. I don't see anyone, am I doing something wrong?

Your words predict an explosion of unimaginary magnitude for new code and for new buisnesses. Where is it? Nowhere.

Edit: And dont start about how you vibed a SaaS service, show income numbers from paying customers (not buyouts)
by motorest | 2025-08-22 06:42:53+00:00
> In code bases like this you can't just wing it without breaking a million things, so LLM agents tend to perform really poorly.

This is a false premise. LLMs themselves don't force you to introduce breaking changes into your code.

In fact, the inception of coding agents was lauded as a major improvement to the developer experience because they allow the LLMs themselves to automatically react to feedback from test suites, thus speeding up how code was implemented while preventing regressions.

If tweaking your code can result in breaking a million things, this is a problem with your code and how you worked to make it resilient. LLMs are only able to introduce regressions if your automated tests are unable to catch any of these million of things breaking. If this is the case then your problems are far greater than LLMs existing, and at best LLMs only point out the elephant in the room.
by nullc | 2025-08-22 06:43:31+00:00
> You can just reject the PR.

And with a better and more useful response. Instead of wasting time on the technical details, you can give feedback like "this isn't the sort of change that AI is likely to be helpful with, though if you want to keep trying make at least sure your PRs pass the tests." or "If you'd like to share your prompts we might be able to make some suggestions, we've found on this project it's useful to include <X>".
by 1437173153 | 2025-08-22 06:45:18+00:00
Hey folks,

I’ve been working in customer support/operations for a while, and one of the recurring pain points I noticed is reusing the same replies.

Typical problems:

Everyone keeps their own “canned responses” in random docs/spreadsheets.

Searching for the right sentence in the middle of a chat takes forever.

Different teammates reply in slightly different ways, which can confuse customers.

So I ended up building a small Chrome extension called Speech Repo. It’s open-source and free. Thought I’d share it here in case it’s useful to others.

What it does

Manage your canned responses in one place (instead of scattered notes).

One click to copy → paste into your chat window.

Support categories/tags for organizing.

Mini window mode, so you can look up phrases without leaving your chat.

Offline/local storage → your data stays with you.

Who it’s for

Customer support reps answering dozens of tickets every day.

Ops/marketing folks who want consistent communication with users.

Small teams that don’t want to pay for heavy CRM tools but still need efficiency.

GitHub repo

https://github.com/tabelf/speech-repo

If you find it useful, a on GitHub would mean a lot.
by magicalhippo | 2025-08-22 06:45:19+00:00
We make a B2B application, and I jump at the opportunity to join in on a support call with a customer or otherwise see how our customers use our product.

I knew nothing about the sector when I started, but I've grown a fairly decent understanding of the challenges and pain points. However every customer does things a bit differently, and so it's useful to experience it first hand.

That our dev team has such good understanding of the domain and our customers has been instrumental to the company's rise to a dominant position, I think. You just make better decisions, from small to large, when you're more in-tune with how the application will be used.
by pjmlp | 2025-08-22 06:46:58+00:00
False set of options, people just haven't been using the right systems languages with automatic resource management, that also offer escape hatchs to manual memory management.

Cedar being one of the very first ones.

Whose ideas perculated to Modula-2+, Modula-3, Oberon, Oberon-2, Component Pascal, Active Oberon, D, C# (after Midori learnings finally found their way into the language), Swift, Chapel, and whatever comes next where researchers now try to mix both productivity with modern type systems.
by akimbostrawman | 2025-08-22 06:47:08+00:00
Arguing that being against killing babies can only have something to do with being christian, only makes my obviously polemic expression more fitting. You don't need religion to see and point out evil.

If a man uses his freedom to make a bad choice and end a human life for there own selfish reason, nobody would bat an eye if he got rightfully punished, they even would demand it. If you apply the same standards to a women it suddenly becomes a political and moral issue and how dare you take away there freedom to take a life.

Equating your own kind, even literal own flesh and blood to other animals to justify there killing surely can only mean we live in great times.
by hodgehog11 | 2025-08-22 06:47:40+00:00
> claim that "large models do fine on unseen patterns" is unfalsifiable

I know what you're saying here, and I know it is primarily a critique of my phrasing, but establishing something like this is the objective of in-context learning theory and mathematical applications of deep learning. It is possible to prove that sufficiently well-trained models will generalize for certain unseen classes of patterns, e.g. transformer acting like gradient descent. There is still a long way to go in the theory---it is difficult research!

> performance collapses under modest distribution shift

The problem is that the notion of "modest" depends on the scale here. With enough varied data and/or enough parameters, what was once out-of-distribution can become in-distribution. The paper is purposely ignorant of this fact. Yes, the claims hold for tiny models, but I don't think anyone ever doubted this.
by TylerE | 2025-08-22 06:48:11+00:00
I think the Cardinal is a popular route for a lot of those guys. It’s the scenic way to Chicago. Instead of going from NYC and sort of hugging the south shore of the Great Lakes, it goes south to Dc, then to Charlottesville and over the old C&O route over the Appalachians through Charleston, WV and on along the Ohio river to Cincinnati and then eventually Chicago.
by TechRecruiting | 2025-08-22 06:49:46+00:00
We are looking for an Analytics Engineer (m/f/d) who will take full ownership of our supply data and turn it into reliable, ready-for-analysis datasets. You’ll partner with Data Scientists, Analysts, and Supply stakeholders to make sure everyone works from the same clean source of truth

At Supply Data Solutions, we build end-to-end data-driven decision-making tools. These solutions work in sync to guide daily operations in the Supply Unit at ABOUT YOU, supporting Pricing & Steering, Demand Planning, and Inventory Management.

What you will do

- Identify overlapping data needs across forecasts, optimisation, and reporting, and create reusable mart tables.

- Simplify existing transformations so downstream teams never rebuild the same logic.

- Build and monitor pipelines (Python + GCP) and keep them healthy.

- Document everything – schemas, lineage, and data contracts.

- Guard the platform: manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks.

- Mentor junior analysts and raise SQL skills across the whole Supply.

Who you are

- At least 3 years of experience as a Data Engineer

- Strong SQL (window functions, CTEs, performance tuning).

- Python for ETL / orchestration.

- Hands-on with CI/CD, Git, and GCP / BigQuery.

- Proven record turning messy operational data into governed analytics layers.

- Comfortable working with both data scientists and analysts.

YOU ARE THE CORE OF ABOUT YOU. We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities, and ethnicities feel welcomed and accepted exactly as they are. We believe that a diverse workforce essentially contributes to the ABOUT YOU culture. To maintain talent and diversity, we emphasize the care for physical health, mental health, and overall well-being. Our values and work ethics essentially contribute to our brand mission: empower acceptance and shape an inclusive, fair, and circular fashion culture.

We are looking forward to receiving your application – preferably via our online application portal! Thus, we can ensure a faster process and for you, it is very easy to upload your application documents. :-)
by hn_throwaway_99 | 2025-08-22 06:50:05+00:00
While I agree that AI assisted coding probably works much better for languages and use cases that have a lot more relevant training data, when I read comments from people who like LLM assisted coding vs. those that don't, I strongly get the impression that the difference has a lot more to do with the programmers than their programming language.

The primary difference I see in people who get the most value from AI tools is that they expect it to make mistakes: they always carefully review the code and are fine with acting, in some cases, more like an editor than an author. They also seem to have a good sense of where AI can add a lot of value (implementing well-defined functions, writing tests, etc.) vs. where it tends to fall over (e.g. tasks where large scale context is required). Those who can't seem to get value from AI tools seem (at least to me) less tolerant of AI mistakes, and less willing to iterate with AI agents, and they seem more willing to "throw the baby out with the bathwater", i.e. fixate on some of the failure cases but then not willing to just limit usage to cases where AI does a better job.

To be clear, I'm not saying one is necessarily "better" than the other, just that the reason for the dichotomy has a lot more to do with the programmers than the domain. For me personally, while I get a lot of value in AI coding, I also find that I don't enjoy the "editing" aspect as much as the "authoring" aspect.
by bhasinanant | 2025-08-22 06:50:08+00:00
Yep, found those really interesting when they came out. I used to run an AI startup until a short while ago. In my opinion, the cost to utility ratio still isn't there for most use cases. So, that's why I wanted to find something deterministic, without all the compute consumption. NitroQRs generate the same as normal QRs with some good old computing, and can be generated in bulk for basically nothing.
by snickerbockers | 2025-08-22 06:51:41+00:00
I'd be fine with that if that was the way copyright law had been applied to humans for the last 30+ years but it's not. Look into the OP's link on clean room reverse engineering, I come from an RE background and people are terrified of accidentally absorbing "tainted" information through extremely indirect means because it can potentially used against them in court.

I swear the ML community is able to rapidly change their mind as to whether "training" an AI is comparable to human cognition based on whichever one is beneficial to them at any given instant.