MurphyA/hacker-news huggingface dataset:
by yakubov_org | 2025-08-09 14:16:50+00:00
Tried local video generation using Wan2.2 5B. Struggled with photorealistic portrayal. Thought of Elon and that he decided to use anime for his avatar companions on X - so anime worked wonders, more details in my blogpost: https://yakubov.org/blogs/2025-08-09-ai-video-generation
by wcoenen | 2025-08-09 14:17:01+00:00
> Recently people driving to holiday here in Europe had fun times... 15 a 25min wait times at charge stations

My last two holidays in Europe I drove an EV about 1000 km to a holiday destination, and back again. So far I have never had to queue to charge.

I did notice that it is not unusual for a rest stop with only 2 to 4 fast chargers to be fully occupied. But if you use an app like ABRP to plan ahead, then it will tend to guide you to larger charging sites (e.g. 20 to 30 fast chargers of a few different brands). These charge planning apps also have live data about how many chargers are currently in use, so they will not send you to a fully occupied site if there are alternatives.

YMMV and the situation will change every year of course, as more EVs are added. Norway is the most advanced in Europe when it comes to car electrification, so if there are issues I guess they will show up over there first.
by gus_massa | 2025-08-09 14:17:39+00:00
I used this image https://es.wikipedia.org/wiki/Archivo:Banana-Single.jpg but nothing happened. DO I have to click a "Start painting now!" button? I coundn't find it.

Also, if you put the mouse over the options like "Circle" the mouse changes from an arrow to a hand, but if I click it the check box doesn't change. (A long time ago I wrote some HTML and it was possible to make the whole word clicky using "label" or something like that.)
by ath3nd | 2025-08-09 14:18:27+00:00
> “Yay!…wait now I have no wages. Why didn’t this work like you said?”

It did. https://www.nbcbayarea.com/investigations/california-minimum...

"Though in the same month, the U.S. Bureau of Labor Statistics showed California had approximately 750,000 fast food jobs, roughly 11,000 more than when the higher minimum wage law took effect"

"The Center on Wage and Employment Dynamics at UC Berkeley compared Glassdoor job posts and online food menu prices two weeks before the minimum wage raise and 2 weeks after. It found that wages increased by 18%, employment numbers remained stable and menu prices increased by only 3 to 7%, or 15 cents on a $4 burger."

Employment numbers remained stable, which is great, meaning the 18k people now are employed at other places at at least 20-25% wage increase. I will repeat it again: If a business can't afford to pay its workers, the business shouldn't exist.
by TheCraiggers | 2025-08-09 14:18:32+00:00
I believe you and the parent are arguing from two different axis.

You seem to be arguing from a perspective that photography is an opportunity to use technology to show humans what's impossible to see, be it because our eyes don't register the low light (thus needing long exposures or composites), or because we experience time differently than a long exposure photograph shows it.

Meanwhile, the parent is arguing from the perspective that photography should reflect only what our eyeballs can see, without embellishing (or at least as much). Capturing the moment, as it were.

You can both be right, and (I would argue) are. There's room for both (and many more) perspectives in art.
by alisonatwork | 2025-08-09 14:18:38+00:00
This dilemma might exist if Ecosia was thoroughly censored and corrupted to the point it was completely unfit for purpose, but it isn't, so for now it seems more like a hypothetical concern than a real one.

What is a real concern, however, is the American government influencing world events in ways that materially harms people outside of America. That government retains its power through the ongoing global economic dominance of American companies. Ordinary people can't do much to directly affect global affairs, but they can at least choose where to spend their money, so why wouldn't they choose to spend their money with companies who aren't propping up foreign governments that harm them?
by apitman | 2025-08-09 14:18:58+00:00
I really like Jan, especially the organization's principles: https://jan.ai/

Main deal breaker for me when I tried it was I couldn't talk to multiple models at once, even if they were remote models on OpenRouter. If I ask a question in one chat, then switch to another chat and ask a question, it will block until the first one is done.

Also Tauri apps feel pretty clunky on Linux for me.
by api | 2025-08-09 14:19:45+00:00
Prices are still coming down. Assuming that keeps happening we will have laptops with enough RAM in the sub-2k range in 5 years.

Question is whether models will keep getting bigger. If useful model sizes plateau eventually a good model becomes something at least many people can easily run locally. If models keep usefully growing this doesn’t happen.

The largest ones I see are in the 405g range which quantized fits in 256g RAM.

Long term I expect custom hardware accelerators designed specifically for LLMs to show up, basically an ASIC. If those got affordable I could see little USB-C accelerator boxes being under $1k able to run huge LLMs fast and with less power.

GPUs are most efficient for batch inference which lends itself to hosting not local use. What I mean is a lighter chip made to run small or single batch inference very fast using less power. The bottleneck there is memory bandwidth so I suspect fast RAM would be most of the cost of such a device. Small or single batch inference is memory bandwidth bound.
by Aaargh20318 | 2025-08-09 14:19:47+00:00
> provide "space" between work and home

I don't get this. This idea that 'work life balance' should mean that the two should be compartmentalised to specific blocks of time seems counterproductive to me. To me it feels like an unnatural way of living. 8 hours in which I should only focus on work, 8 hours I should focus on everything else followed by 8 hours of sleep. I don't think that is how we are supposed to operate. Even the 8 hours of sleep in one block is not natural and a recent invention. Before industrialisation people used to sleep in multiple blocks (wikipedia: polyphasic sleeping)

The idea that you have to be 'on' for 8 hours at a time seems extremely stressful to me. No wonder you need an hour afterwards just to unwind. Interleaving blocks of work and personal time over the day feels much more natural and less stressful to me. WFH makes this possible. If I'm stuck on something, I can do something else for a while, maybe even take a short nap. The ability to focus and do mentally straining work comes in waves for me. Being able to go with my natural flow makes me both happier, more relaxed and more productive.

The key to work/life balance to me is not stricter separation but instead better integration.
by ExoticPearTree | 2025-08-09 14:20:07+00:00
Wow. Can't wait for you to win the lottery and pay the government 80% of what you won in taxes and be happy about it.

Do you even know anyone poor? As in living off on less than $2-$5 a day? Or whatever the definition of poor is in your country? And if so, can you share here with the group why they're poor and continue being poor?
by noahjk | 2025-08-09 14:20:18+00:00
I remember when 20 used to be considered high, and 5mg/ml was probably the most popular (or 3/6 depending who you got it from). Vaping back then largely felt like a fun hobby and was probably at its peak 'healthiness' and 'environmentalness'. Lots of people were happy to give up cigarettes for vaping (or at least try).

Towards the end of that, there started to be hints of legislation restricting the sale of juices, which made things a bit more complicated for consumers.

Then Juuls became popular, featuring higher nicotine content and almost invisible vapor, and nothing was ever the same.
by BenGosub | 2025-08-09 14:20:23+00:00
If it is true that these wrapper companies can't find positive sum economies for their product offerings, there will be a point in time where we will see them fail and it will cause a domino effect, rolling over to the big LLM providers and ultimately NVDA. This is highly speculative, but currently there are some realistic pointers to such a scenario.

In such a case, I think we will see a move to smaller, domain specific models. I think if the first cycle of the AI age is large, general models, the second will be smaller, domain specific ones that we can run on retail machines.
by _wire_ | 2025-08-09 14:21:26+00:00
> Automating knowledge work is a good thing, although it will displace some workers. Consultants are hired to make more companies more productive...

Yeah, first you hire a consultant to do your AI, then when the AI wrecks your business, you just sue it.

Malkovich: "I will see you in court!"

AI: "Oh yeah? How do you know I won't be seeing you see me in court?!"

Voice from robotaxi passing Malkovich who is standing on the shoulder of the New Jersey turnpike: "Hey, Malkovich, think fast!"

(Thrown beer can hits Malkovich in head)

Malkovich: "Ow!"

And so it goes...
by bpodgursky | 2025-08-09 14:21:33+00:00
Please, please seriously think back to your 2020 self, and think about whether your 2020 self would be surprised by what AI can do today.

You've frog-boiled yourself into timelines where "No WORLD SHAKING AI launches in the past 4 months" means "AI is frozen". In 4 months, you will be shocked if AI doesn't have a major improvement every 2 months. In 6 months, you will be shocked if it doesn't have a major update ever 1 month.

It's hard to see exponential curves while you're on it, I'm not trying to fault you here. But it's really important to stretch yourself to try.
by cosmic_cheese | 2025-08-09 14:21:49+00:00
Battery degradation generally isn’t nearly as much of an issue with modern EVs. The active management systems they use are much more sophisticated and capable of keeping the battery in good condition than those of a smartphone. There are plenty of examples on the road with 200-300k miles still retaining 80-90% capacity.

Charging station wait times comes down to growing pains. Not enough stations combined with battery tech not yet having reached maturity. It’ll fix itself as more stations are installed and the technology continues to advance. The only bad thing to do would be to stop.

As far as antique cars go, I’m not too worried because both energy density in batteries and efficiency in motors has been increasing substantially over time. By the time these cars are old enough to be antiques, people will want to do full retrofits with modern batteries and motors anyway because what they came with will look primitive and clunky in comparison. The ceiling for potential on EV tech is much higher than it is for ICE based systems.
by pyrale | 2025-08-09 14:21:58+00:00
> It seems clearly better, as a user, to use an uncensored, un-backdoored service based in a foreign country

This point of view I could have understood 20 years ago, but Snowden revelations happened in 2013. Before that, US social media have always been censored according to US social norms.

Uncensored, un-backdoored services from a foreign country have never existed.

As for sovereignty, considering the current US admin as well as US tech barons have been pushing their horses in several EU elections, it's pretty obvious that services from a foreign country with such policies are an issue.
by typeofhuman | 2025-08-09 14:22:01+00:00
HS grades are gameable. Just look at public highschools across the US. A significant percentage of graduates can't read. And the policies won't let teachers fail or hold-back students so they cook their grades to push them through the system.

The ratione behind this was "ending the school to prison pipeline." They saw the correlation between drop out rates and incarceration and thought they could reduce the latter by gaming the former.

This is why you see a lot of college dropouts from that corpus because they can't make it. They were lied to.
by dcow | 2025-08-09 14:22:38+00:00
They didn't just include the “I had to get a replacement unit” as a part of a bigger review where they ultimately did what normal consumers do and have the manufacturer replace the unit. Kudos to AirGradient for not trying to pamper their reviewer with a hand-vetted unit like everyone else. But it backfired. The reviewer isn’t a normal consumer who cares enough to return their unit for a working one. That’s the point. You’re not getting an authentic experience because the reviewer just gave up because there wasn’t time/budget to do the fair review.
by woadwarrior01 | 2025-08-09 14:23:14+00:00
> If you looking for privacy there is only 1 app in the whole wide internet right now, HugstonOne

That's a tall claim.

I've been selling a macOS and iOS private LLM app on the App Store for over two years now, that is:

a) is fully native (not electron.js) b) not a llama.cpp / MLX wrapper c) fully sandboxed (none of Jan, Ollama, LM Studio are)

I will not promote. Quite shameless of you to shill your electron.js based llama.cpp wrapper here.
by cogman10 | 2025-08-09 14:23:17+00:00
I believe you are overthinking things. These aren't hard to overcome problems. Batteries are fundamentally very simple and they are designed to handle wide variations. Simple enough that there are already a bunch of shops that will rebuild and restore batteries using volt meters to yank (and sometimes replace) bad cells.

As for the factors affecting battery life, it's looking like age above everything else is the primary killer of batteries. Temp is a solved problem, all modern EVs have a cooling/heating system.

Cell phone batteries are also different from EV batteries. You won't find a cell phone with an LFP. that's because cell phones target energy density above all else.

As for travel charging, 15 to 25 waits are typical and charging past 80% is slow. A battery at 10% can accept 350kW of power. Batteries are 80% typically can't accept more than 80kW or less. The 80% to 100% time can take twice as long as the 0 to 80 time.

Waiting for a charger to be available is an infrastructure problem. I've had to wait on gas pumps to be available during busy times. Conversely, the most I've waited to charge has been 10 minutes (and I've traveled every thanksgiving for 7 years of EV ownership).

The 20 minute break is welcome after driving 2->3 hours.
by krapp | 2025-08-09 14:23:40+00:00
It's one thing to refer to this subreddit in the context of a bigger conversation about the psychological and emotional effects of AI but just posting the sub itself for people to gawk at seems creepy.

And let's not pretend there aren't people on HN who believe AIs are fully as sentient as human beings, if not more so, and wouldn't rather interact with AIs than with people. I've seen the comments, these sets do overlap. Some of y'all probably have alts over there and a digital ballerina tradwaifu of your own.
by martianlantern | 2025-08-09 14:24:37+00:00
Very insightful post, this may work in the IMO setting because mathematical problems are inherently binary if we ignore somethings like the incompleteness theorem. In contrast, subjective tasks, such as evaluating a painting or rating a poem, lack absolute truth. How would such reasoners estimate confidence in these cases, and to what extent could RL techniques effective in the IMO transfer to real world problems?
by tastyminerals2 | 2025-08-09 14:24:39+00:00
Not very hard to you, however the reproducibility numbers tell a different story. Back in the days, when we were searching for some ML model implementations in the public repos and found ipynb files in it, we skipped the repo without delving into details. Within the company data engineer research notebooks were never allowed inside a repo. Experiment, yes, but rewrite it in plain python and push.
by kgeist | 2025-08-09 14:25:26+00:00
I'm not sure what you're talking about. Llama.cpp is an inference server which runs LLMs locally. It has a built-in web UI. You can't get more private than the inference server itself.

I tried downloading your app, and it's a whopping 500 MB. What takes up the most disk space? The llama-server binary with the built-in web UI is like a couple MBs.
by backpackviolet | 2025-08-09 14:25:28+00:00
> "AI is getting better rapidly"

… is it? I hear people saying that. I see “improvement”: the art generally has the right number of fingers more often, the text looks like text, the code agents don’t write stuff that even the linter says is wrong.

But I still see the wrong number of fingers sometimes. I still see the chat bots count the wrong number of letters in a word. I still see agents invent libraries that don’t exist.

I don’t know what “rapid” is supposed to mean here. It feels like Achilles and the Tortoise and also has the energy costs of a nation-state.
by xyst | 2025-08-09 14:25:55+00:00
> Over the years, nearly everything on the vehicle has been replaced or repaired, and Campbell says the only original part is likely the body, and even that has had work done on it.

A modern "ship of theseus" paradox.

It’s more impressive that this man has the fortitude and dedication to keep spare parts, constantly maintain it, and even have back up vehicles for all these years.

If the article mentioned the car had its original engine this entire time. I would have seen it as an anomaly and possibly a good testament to Toyota engineering and need to keep up with maintenance.
by Raj7k | 2025-08-09 14:26:38+00:00
Hey HN,

I'm the part team Keka, an all-in-one HCM platform that's been crushing it in India,GCC (10k+ customers, loved for simplifying payroll, performance, and ops). We merge HR, finance, and delivery teams into one seamless system, think automated payroll in 6 steps, AI-driven JD, score card, and real-time compliance for remote/hybrid setups. Users rave about it (high NPS, organic growth), but as we expand to the US, we're the classic underdog: New market, bootstrapped vibe, competing with giants like Workday or ADP.

The problem: Folks love the product during trials/demos (e.g., "This fixed our multi-state compliance headaches!"), but they're not moving down the funnel to paid. Conversion from trial to customer is hovering at ~5-8%, way below benchmarks.871164616d7e We get great feedback, but deals stall—maybe pricing friction, integration fears, or just "US market trust issues" as a non-local player.

I'm overwhelmed trying to crack this and want diverse perspectives: Engineers, marketers, sales pros from different backgrounds to help iterate. What are we missing? Is it funnel leaks (e.g., weak middle/bottom stages)? Poor targeting in a crowded HCM space? Or something cultural in the US SaaS scene? Any advice on optimizing our funnel, attracting great talent or underdog tactics? We've tried content marketing and partnerships, but need that breakthrough. Check us out:keka.com/us . Happy to share more details or even free audits for your feedback.

Thanks, HN—your insights have helped us before! Raj @ Keka
by lelanthran | 2025-08-09 14:27:43+00:00
> It’s not vocational training, it’s the equivalent to the lab portions of physical science classes. We don’t call pipetting vocational training for biologists or titration vocational for chemists, even though both will be doing a lot of that in professional and research careers.

You're on the right path: learning how to use a specific tool produced by a specific $Corp is not vocational training, it's end-user training.

Learning pipetting and titration is very different from learning $MegaCorps software tool that will be replaced with something else in a few years.

Source: Me! I did undergrad in multiple different subjects, including chemistry, physics and biology.

Like I said, if you are looking for end-users, you don't have to search very hard. Universities should not be focused on training more end-users. It's fine if there's a half-credit or no-credit course somewhere on "How to use $PRODUCT".

A better option would be, like I said, industrial practice after graduation, before getting a license to practice, but that's way too professional for a field that seriously and unironically came up with SpaghettiCodeAsAFramework.
by ajmurmann | 2025-08-09 14:28:14+00:00
I think the mistake is seeing the beer to watch ratio and assuming that beers are hard to afford now. One primary reason beer in a pub is expensive is because of cost of labor scaling badly in the pub but extremely well for the watch. It's Baumol Cost Disease. The beer only costs more because the other work the pub staff is doing could be more productive now elsewhere. So in the end of the day, unless you are an alcoholic, you can likely afford more beers just because everything else has gotten so much cheaper.

One caveat I want to call out though is of course the skyrocketing housing cost which also impact rent (or opportunity cost of they own) for the pub and thus the beer price as well. This is where I really don't understand how NIMBYs continue to get their way.
by th0ma5 | 2025-08-09 14:30:15+00:00
To be honest, I had the right idea back then... This technology has fundamental qualities that require it to provide inaccurate token predictions that are only statistically probable. They aren't even trying to change this situation other than trying to find more data to train, saying you have to keep adding layers of them, or are saying it is the user's responsibility.

There's been the obvious notion that digitizing the world's information is not enough and that hasn't changed.
by cratermoon | 2025-08-09 14:30:39+00:00
Much of the functionality has been disabled or degraded. This includes things the typical user won't be able to readily distinguish as broken, such as suggestions on who to follow or the content of their feed, or whether or not advertisers are getting the visibility expected. It also includes things like what an unauthenticated user can view.

In the sense that it's still serving up tweets, sure it's up. Revenue was down 13.7% in 2024, users are being force-fed Musk's ketamine dreams while content moderation is non-existent.

Is that broken? I suppose it depends on whether or not a person prefers their own alternative facts.
by byroot | 2025-08-09 14:30:47+00:00
If you don't care about duplicated keys, all you got to do is to set the `allow_duplicated_key: true` option.

The whole point of the article is to explain why while I have empathy for code owners that will be impacted by various changes sometimes I believe the benefits outweigh the cost.

I even linked to an example of a very nasty security issue that would have been prevented if that change had been made sooner.

> Is the ruby community breaking?

No, the community is trying to fix past mistakes. For instance the YAML change you are cursing about has been the source of numerous security vulnerabilities, so tenderlove had to do something to remove that massive footgun.

I totally get that it annoyed you, you can't imagine how much code I had to update to deal with that one.

But again, while I totally agree maintainers should have empathy for their users, and avoid needless deprecations, it'd be good if users had a bit of empathy for maintainers that are sometimes stuck in "damned if you do, damned if you don't" situations...
by mcdeltat | 2025-08-09 14:30:53+00:00
Another thing is human readable is typically synonymous with unindexed, which becomes a problem when you have large files and care about performance. In bioinformatics we often distribute sidecar index files with the actual data, which is janky and inefficient. Why not have a decent format to begin with?

Further, when the file is unindexed it's even harder to read it as a human because you can't easily skip to a particular section. I have this trouble often where my code can efficiently access the data once it's loaded, but a human-eye check is tedious/impossible because you have to scroll through gigabytes to find what you want.