MurphyA/hacker-news huggingface dataset:
by testbjjl | 2025-07-23 00:33:29+00:00
Do you think I wanted to impress you or anyone really? GP was beating a dead horse so I said something. Somehow you ended up caring. I’m almost certain there are better uses of your time. Certainly has no influence on my opinion. Honestly people who hold Hacker News like it’s sacred are exhausting. Your opinions and mine need not mix, just use your thumb to move on?
by bredren | 2025-07-23 00:33:51+00:00
How was your experience using Gemini via Zen?

I’ve instead used a Gemini via plain ol’ chat, first building a competitive, larger context than Claude can hold then manually bringing detailed plans and patches to Gemini for feedback with excellent results.

I presumed mcp wouldn’t give me the focused results I get from completely controlling Gemini.

And that making CC interface via the MCP would also use up context on that side.
by glaucon | 2025-07-23 00:34:29+00:00
Where I live during the Rugby and Soccer seasons it's not uncommon for the 'normal' pitches to be unplayable due to consistent periods of rain.

A number of schools, and public facilities, near me have switched to plastic pitches for this reason. I'm not advocating for them but there is a rationale.

BTW it's not just that being very muddy makes it difficult to play on but that using the pitch in that state trashes the grass.
by lubujackson | 2025-07-23 00:35:06+00:00
I had to learn the hard way that you need to know at least the structure of what the code should be doing. Vibe coding doesn't work for long if you just YOLO repeatedly, you need breadcrumbs back to sanity. If you get lost in the weeds the LLM can refactor itself back to understandability but it won't get there itself (at least not yet).
by 827a | 2025-07-23 00:35:34+00:00
> Outside of OpenAI, Anthropic and Anysphere (which makes AI coding app Cursor), there are no Large Language Model companies — either building models or services on top of others' models — that make more than $500 million in annualized revenue (meaning month x 12), and outside of Midjourney ($200m ARR) and Ironclad ($150m ARR), according to The Information's Generative AI database, and Perplexity (which just announced it’s at $150m ARR), there are only twelve generative AI-powered companies making $100 million annualized (or $8.3 million a month) in revenue. Though the database doesn't have Replit (which recently announced it hit $100 million in annualized revenue), I've included it in my calculations for the sake of fairness.

I think this is among the most unhinged paragraphs I've ever read in my entire life. It deeply, metaphysically, struggles to frame what its presenting in a bad light, but the data is so overwhelmingly positive that it just can't do it.

"Ugh, there's only twelve companies basically none of which existed two years ago making over a hundred million dollars in revenue. What a failure of an industry. And only three of them are making a half a billion? What utter failures. See, no one is using any of this stuff!!"
by dgfitz | 2025-07-23 00:35:58+00:00
This point always amuses me. Thats like, 1 starbucks coffee a month, or 1 trip to a fast food place a month, or one extra thing at the grocery store a month, or half a movie ticket a month, or half a streaming service a month, or less than half an LLM subscription a month, I could go on for a while.

For the cost, preventing cancer seems like it's a wise investment. I say this as a cancer survivor.
by robochat | 2025-07-23 00:37:01+00:00
The USGS created a system to do exactly this about 15 years ago. I’m not sure whether they’re still running it but at the EMSC, we've been running a similar system for many years to highlight earthquakes important to the public and improve our messaging. Twitter doesn’t give access to geotags anymore but we do manage to roughly estimate an earthquake’s location by analysis of the tweets. Estimating magnitude is much more difficult. Naturally there are some false positives but it works well overall.

[1] https://www.usgs.gov/media/audio/shaking-and-tweeting-usgs-t...
by jrflowers | 2025-07-23 00:37:01+00:00
I agree. Humans have been eating meat and doing construction for the entire history of civilization, they are not the sort of things that could be affected by posting online. LLMs on the other hand are new, largely in the hands of a small handful of companies, and a couple of those companies are bleeding cash in such a way that they might actually respond to consumer pressure. It is cynical to compare them to things that we know will not change as a justification for a blanket excuse for them.

Seeing as these models being wasteful is integral to the revenue of companies like OpenAI and Anthropic, the more people that tell them that the right business strategy is to start perpetually building data centers and power plants, the less incentive they have to build models that run efficiently on consumer hardware.
by dylan604 | 2025-07-23 00:37:15+00:00
Would the taskbar people be older people? There's something to be said about having a quick common place to get to the things you access the most. To that point, there are many many variations of launchers. I really wish webapps had taken off more, or having website create custom shortcuts for the various OSes so they can something like their red letter N logo on the desktop or wherever that just takes them to the website with a click rather launching the blue letter e then have to type something into a location bar or find it in some list of favorites. However, I think the sweet data analytics that apps allow companies to collect is too tempting and the web link just something to avoid.
by bane | 2025-07-23 00:38:15+00:00
I have an unRAID homelab. It's kind of really awesome in the sense that it lets the home user incrementally add compute and capacity over time without having to do it all in one big shebang and doesn't require nearly the fussing over of my prior linux server.

I started mine with a spare NUC and some portable USB drives and its grown into a beast with over 100TB spread across a high performance SSD backed ZFS pool and an unRAID array, 24 cores, running about 20 containers and a few VMs without breaking a sweat and so far (knock on wood) zero data loss.

All at a couple hundred dollars every so often over the years.

One performance trick it supports is also letting you overlay fast SSD storage over the array, which is periodically moved onto the slower underlying disk. It's transparent, so when you write to the array you can easily get several hundred MB/sec which will automatically get moved onto warm storage periodically. I have two fast SSDs RAIDed there and easily saturate the network link when writing.

The server basically maintains itself, I only go in every so often and bump the docker containers at this point. But I also know that I can add another disk to it in a about 10 minutes and a couple hundred bucks.
by outworlder | 2025-07-23 00:38:26+00:00
> Buy German cars, specifically within the Volkswagen auto group (Audi, VW, Skoda etc) if you want reliable quality.

German cars, as a rule, are made with complete disregard for the people who will have to work on them. They are reliable while meticulously maintained and before anything even remotely important break. Then they become a nightmare.
by nunez | 2025-07-23 00:39:02+00:00
They _already have_ a monopoly on it, by design.

The data is definitely a critical piece, but they are the only companies with the cash, hardware and talent to train frontier AI models from scratch. (The models that are fine-tuned by everyone else, to be clear.)

I don't see that changing either; there is no incentive to make training cheaper and more accessible.

I was hoping that this bill would make it possible to _retroactively_ seek legal action for copyrighted data in data sets, but, yeah, as journaled here, this will amount to a clause on an optional-but-not-optional EULA to give them "permission" to do what they were already doing, perhaps even more flagrantly.
by dplyukhin | 2025-07-23 00:39:30+00:00
I was curious about this claim, so I tracked it down: https://blog.stenmans.org/theBeamBook/#_distribution_in_a_la...

> Even though Erlang’s asynchronous message-passing model allows it to handle network latency effectively, a process does not need to wait for a response after sending a message, allowing it to continue executing other tasks. It is still discouraged to use Erlang distribution in a geographically distributed system. The Erlang distribution was designed for communication within a data center or preferably within the same rack in a data center. For geographically distributed systems other asynchronous communication patterns are suggested.

Not clear why they make this claim, but I think it refers to how Erlang/OTP handles distribution out of the box. Tools like Partisan seem to provide better defaults: https://github.com/lasp-lang/partisan
by IlikeKitties | 2025-07-23 00:40:11+00:00
Customer Support has become a battlefield it seems. Maybe it's always been but enshitification and lack of agency (and responsibility) by the customer support agents has made getting help when something goes wrong almost impossible everywhere. So now you need to create a social media shitstorm to force a reaction from the company above the normal lines of escalation. I think this is a terrible mistake from the companies.
by net_ | 2025-07-23 00:40:33+00:00
I transitioned from a "normal" keyboard to a Glove80 last year. I immediately didn't like using the standard layout, so I switched to Colemak-DH which I've found pretty comfortable.

The thumb clusters are definitely a pain, I find myself only really using the 3 closest buttons one each side. Even then, the closest button on the upper row requires a stretch that gets uncomfortable after a while. It hasn't been bad enough for me to consider trying other keyboards though--the prices are too high for me to feel comfortable buying something I might not like.

To anyone that switches to a split keyboard, I strongly recommend also getting a trackball mouse (I use a Ploopy Adept). It lets you center the keyboard in front of you without needing to stretch too far while manipulating the mouse.
by pxc | 2025-07-23 00:42:11+00:00
> small models can never match bigger models, the bigger models just know more and are smarter.

They don't need to match bigger models, though. They just need to be good enough for a specific task!

This is more obvious when you look at the things language models are best at, like translation. You just don't need a super huge model for translation, and in fact you might sometimes prefer a smaller one because being able to do something in real-time, or being able to run on a mobile device, is more important than marginal accuracy gains for some applications.

I'll also say that due to the hallucination problem, beyond whatever knowledge is required for being more or less coherent and "knowing" what to write in web search queries, I'm not sure I find more "knowledgeable" LLMs very valuable. Even with proprietary SOTA models hosted on someone else's cloud hardware, I basically never want an LLM to answer "off the dome"; IME it's almost always wrong! (Maybe this is less true for others whose work focuses on the absolute most popular libraries and languages, idk.) And if an LLM I use is always going to be consulting documentation at runtime, maybe that knowledge difference isn't quite so vital— summarization is one of those things that seems much, much easier for language models than writing code or "reasoning".

All of that is to say:

Sure, bigger is better! But for some tasks, my needs are still below the ceiling of the capabilities of a smaller model, and that's where I'm focusing on local usage. For now that's mostly language-focused tasks entirely apart from coding (translation, transcription, TTS, maybe summarization). It may also include simple coding tasks today (e.g., fancy auto-complete, "ghost-text" style). I think it's reasonable to hope that it will eventually include more substantial programming tasks— even if larger models are still preferable for more sophisticated tasks (like "vibe coding", maybe).

If I end up having a lot of fun, in a year or two I'll probably try to put together a machine that can indeed run larger models. :)
by const_cast | 2025-07-23 00:43:21+00:00
> I’m not saying that it’s inconceivable that the current administration is cutting funding that affects Mauna Loa because of climate ideology; I’m saying that without evidence, you’re leaping to conclusions that may or may not be justified.

Okay, but if I had to make an assumption, I, and any reasonable person on Earth, would assume it's because of the extremist ideology of this administration.

They're anti-science, anti-fact, and pro-oil. Explicitly. I'm not saying this, they're bragging about it. And then things like this keep happening.

Hmm. Now if I were naive and stupid, I might say that it's just a coincidence. Luckily I am not, and I'm confident in say that yes, almost certainly the current administration and political climate has something to do with this.
by pohuing | 2025-07-23 00:43:25+00:00
And it's sensitive to dynamic scaling as well, isn't it? So it's possibly not 60% of a core at max clock, but maybe of a core clocked to 800mhz or something.

I fell for that shallow analysis myself once when I noticed just how apparently bad the gpu usage was for a big of animation in a web page, until I noticed my 30% load gpu still drew as much wattage as it did on idle.
by robochat | 2025-07-23 00:45:56+00:00
There is also the Earthquake Network (EQN) app that works on very similar principals to Google’s system - phones monitor their MEMs accelerometers, when they are left charging with their screen off, and when enough neighbouring phones detect vibrations simultaneously an earthquake is detected and apps nearby are alerted. It’s been running since 2012.

[1] https://sismo.app
by kurthr | 2025-07-23 00:46:19+00:00
Within marginal error, dollars=destruction.

Even if the company is "green" they make money, they pay employees/stockholders, those people use the money to buy more things and go on vacations in airplanes. Worse, they invest the money to make more money and consume more goods.

Even your gains and vegetables are shipped in to feed you, if you walk to the grocery store. You pay rent/mortgage for a house built with concrete and steel. The highest priced items you pay for are also likely the most energy and environmentally costly. They create GDP.

It's a little weird with LLMs right now, because everything is subsidized by VC, Ads, BigCo investment so you can't see real costs. They're probably higher than the $30-200/mo you pay, but they're not 10x the price like your rent, car payment, food, vacation, investment/pension are.
by Demiurge | 2025-07-23 00:46:23+00:00
He puts down a deposit, and waits almost a year, then experiences multiple delays. He seems to be experiencing multiple issues before he requests escalation. I don't think he opens with escalation request in a second email. His vibe seems to be of someone being ignored and just told to deal with it, and not willing to just accept something less than the original agreement.

What would be a "better" vibe than requesting an escalation? if you buy something and you don't get something you've bought? Just say "oh well, it is what it is"?
by lukeschlather | 2025-07-23 00:46:51+00:00
It doesn't have to be super-high-temp wok cooking. Just using a wok and a normal residential gas stove is not great for you. Even at home stove temps stir frying can throw up a fair amount of oil aerosols. And it potentially means standing over the stove with the gas going on high, even if it's not going to get as hot as a restaurant wok. The gas is bad for you, the aerosols are probably bad for you. It's plausible Asian-Americans use this sort of cooking method more often than non-Asians.
by IG_Semmelweiss | 2025-07-23 00:47:01+00:00
Its not that. Its that Japan lost the tech lead so they have nothing to offer that's distinct that cannot be found in our own mega distribution channels (Amazon).

I remember when living there of the marvel of teenagers having GPS in their own cars circa 1999. Or the incredibly advanced cell phones miles ahead of their western counterparts. That's no longer the case.

Now you can find everything, much cheaper, and more conveniently, right here in the US.

Akihabara was over when Amazon and Alibaba opened the floodgates of distribution to Chinese and American electronic manufacturers.

If you want kirkland brand, you have to go to Costco. There's no equivalent for japanese electronics anymore.
by nocoiner | 2025-07-23 00:48:14+00:00
I am still not clear on what Open Graph is or how the image was used here. Some visual aids would have helped tremendously. I assume it is how a specific thumbnail is included alongside an embedded tweet or article snippet?

From what I can gather, it sounds like his copyright exposure came up when he exported his Twitter archive, including the image in question, and hosted (and, crucially, published) it on his own server. Am I thinking about this the right way?
by kemotep | 2025-07-23 00:48:35+00:00
Audits are a checkbox exercise. But like before every flight, pilots complete a checklist, checking boxes just like an audit.

It takes a culture of following through with what you say you do and SOC2 is at least a 2-part audit that has you show your policies in the first part and then a year later they validate your evidence that you do what you say. So that puts it well above any self-assessment like NIST (which still has excellent guidance for how to approach security).

A SOC2 doesn’t prove they don’t share your data with the government for example just that they follow what their privacy policy says (which could include clauses about sharing data with the government).
by dontdoxxme | 2025-07-23 00:49:05+00:00
#include <Usual IANAL comment>

In the US usage like this may be considered "Fair Use", however UK copyright law is less generous in its "Fair Dealing" and associated exceptions to copyright[1].

This is a problem when standards are pushed by US tech companies but don't consider the rest of the world.

[1]: https://www.gov.uk/guidance/exceptions-to-copyright
by 404mm | 2025-07-23 00:50:02+00:00
I was going to create a website just like this but for my Audi Q5. Least reliable car I ever owned. It’s been in the shop about 15 times in 2 years. I finally gave up. It still has a few unsolved issues but I just don’t care. I’ll be trading it in later this year and … Never another Audi again.
by throwawaymaths | 2025-07-23 00:50:25+00:00
there are so many second order effects here who knows. for example (and im not saying this will always be the case) if a tariff pushes a foreign company's good out of the us marketplace and the customer is "forced" to pay 2x for something domestically manufactured that lasts 4x as long, did the american "pay for it"? how would this look in bulk economic data (spoiler it would look bad because consumption went down)
by jsight | 2025-07-23 00:50:55+00:00
I changed my mind about batteries for stationary storage fairly recently. The 1k reports that seemed biased (and still seem biased) didn't help.

The understanding that I had not calculated depreciation correctly helped, as did a better understanding of the pricing models for the most efficient plants vs the so called "peaked plants".

The world of reasons was much more complex and interesting than I had thought.
by maxbond | 2025-07-23 00:51:18+00:00
The present value of $7 in 35 years is $1.45, assuming a risk free rate of 4.5%. Paying $2940 over 35 years is much more affordable than paying $2940 up front. If the goal is to be rational about risk, let's right-size the numbers. Otherwise our figures will be misleading.
by florianherrengt | 2025-07-23 00:51:33+00:00
I do agree that I should take responsibility for my work. This is why I experimented on a small side project with a limited user base instead of my main app, which generates my income.

What really sold vibe Coding to me was the idea that I could be significantly faster by working on multiple features in parallel. I'm an agent orchestrator. I send them off in the right direction, regularly check on them and correct if needed. They run all the tests and keep working until they all pass. Once they're done, I review their work and if I'm satisfied, merge it.

The hard reality is that properly reviewing code at this scale is extremely difficult and I inevitably let errors slip through.

Maybe I should spend more time reviewing it. But I'm almost certain it would take me more time and effort than writing the code myself and I'm not even sure I'd ever reach the same level of understanding.

If I ask Claude to do one thing at a time and monitor it, I need to get the prompt right, wait for it to respond with some changes and then review them thoroughly before accepting them. I can imagine this being an alternative way to build software. But I doubt it's faster.
by more_corn | 2025-07-23 00:52:25+00:00
I just used ai to do three things that were a bit outside my skill and comfort zone. I’m pretty sure there are lots of people using it to good effect. Actually two things that were totally outside and one thing that is well within, but would have taken me eight hours and with me directing it took the ai about 12 min.

Most software engineers I know use some amount of ai assistance in coding.

Pretends is a pretty strong word here. A lot of people actually use it to help them do their work.
by TheNewsIsHere | 2025-07-23 00:52:26+00:00
I love Forgejo. I recently started a project to exit my business (and eventually personal) git from Github. Gitea was my target having ruled out GitLab based on prior experience administering an instance, but I ended up going with a Forgejo and I am glad I did. The Gitea shenanigans around the for-profit entity and its opaque ownership structure were mainly what left a bad taste in my mouth, but there were a few other more minor factors that were use case specific. Fedora recently decided to switch to Forgejo, which is quite a feather in their cap.

I also was somewhat skeptical that a git hosting platform that had a business behind it with enterprise oriented offerings wasn’t yet self-hosting in the technical sense.
by bryanlarsen | 2025-07-23 00:52:59+00:00
> You let me know an electric car that lasts 13.5 years and I’ll head on down to the dealership.

What electric car won't? There are still 2010 Nissan Leafs on the road, and v1 Nissan Leafs had horrible battery lifetimes, lasting less than 100,000 miles. OTOH there are several Tesla's that have gone >500,000 miles on a single battery.
by kurthr | 2025-07-23 00:53:46+00:00
You incentivize domestic industrialization by actually doing that (but it's hard and takes planning). In fact uncertainty about tariffs make investment less likely (and more expensive, because you have to buy equipment and steel, and copper at 50% tariffs).

So no, you don't get re-industrialization, you get stagflation. It's idiocracy.
by Mr_Minderbinder | 2025-07-23 00:54:33+00:00
> I don't remember the last time I watched a Chinese movie or listened to a Chinese band…

I have seen quite a few films from Hong Kong and a few have achieved some level of popularity and recognition in the West but perhaps you do not consider a HK movie to be a Chinese movie.

> ...I've also lived in Central Asia and Eastern Europe, and American movies, music and literature were much more popular there, too.

I can believe that for movies and maybe music but certainly not literature.