MurphyA/hacker-news huggingface dataset:
by jraph | 2025-08-09 07:01:21+00:00
Each time I was on a limited connection, regular pages would load, slowly. Anything SPA would fail to load.

I'm willing to believe SPAs with everything handwritten, containing just the necessary code, could work but that's not how SPAs are usually written.

Not only this but very simple HTML with POST forms, in addition to being lightweight, benefit from a very robust handling, where you can retry stuff and all. SPA are usually bad at this.

All markup needs to be downloaded but it might be very light, and styles are hopefully cached, so it's an issue on first load only and SPAs don't solve this.
by sblocal123 | 2025-08-09 07:01:47+00:00
Going full pedant, the more pertinent issue with the house you posted upthread is that it's 8 miles from downtown and outside Santa Barbara city limits. No one in Santa Barbara would consider it a "Santa Barbara" house. Despite the zip code allowing use of "Santa Barbara" on the address, it's in "Noleta", the less expensive unincorporated suburban area between Goleta and Santa Barbara.

Shithole is probably overstating it, but $2.2m doesn't get you much in more expensive Santa Barbara neighborhoods. Here's a 3/1 1000sq foot house that sold for $2.2 in June that better represents what the parent comment was referring to:

https://www.zillow.com/homedetails/2430-Mesa-School-Ln-Santa...

A 4BR 2k+ sqft house in any of the good neighborhoods in Santa Barbara ( Mesa, San Roque, Riviera, Mission Canyon, Samarkand) would easily be closer to $2.5-3 million.

For example: 1900sqft for $2.6: https://www.zillow.com/homedetails/2818-Valencia-Dr-Santa-Ba...

2100sqft for $2.7: https://www.zillow.com/homedetails/3117-Calle-Noguera-Santa-...

800sq ft for $1.6: https://www.zillow.com/homedetails/512-E-Islay-St-Santa-Barb...
by qianli_cs | 2025-08-09 07:02:10+00:00
Yeah, we plan to add more languages. Currently supports Python and TypeScript, and Go and Java will be released soon. We’re having a preview of DBOS Java at our user group meeting on August 28: https://lu.ma/8rqv5o5z Welcome to join us! We’d love to hear your feedback.

We welcome community contributions to the open source repos.
by latexr | 2025-08-09 07:02:37+00:00
> We can see the distinction, evidently some people don't.

> This is no different to other hobbies some people may find odd or geeky

It is quite different, and you yourself explained why: some people can’t see the distinction between ChatGPT being a token generator or an intelligent friend. People aren’t talking about the latter being “odd or geeky” but being dangerous and harmful.
Ask HN: Will human code review still exist a year from now?
by changisaac | 2025-08-09 07:04:02+00:00
Hi HN, edgy thought, seeing a lot traction and usage of code review bots lately across both startups and medium/larger companies. Whether it's CodeRabbit, Graphite Diamond, etc. (there are plenty more).

If models keep improving, and we eventually inject these code review bots with more and more context to validate even things like business logic, tribal knowledge, etc. do you think we could eventually arrive very soon in a place where we no longer do traditional code reviews?

Just work with your coding agent to develop things, get it reviewed by a code review bot, fix any issues caught, and ship.
by 9dev | 2025-08-09 07:04:11+00:00
More so than just the colors, capturing moving northern lights at night invariably means capturing an aggregation over a long time. That isn’t just capturing something we can’t natively parse, but aggregating data into something new.

Think someone who only ever saw waterfalls in long-time exposure shots, these frozen, milky streams that look nothing like actual water, while still being pretty to look at. Would you say that person has an understanding of what a waterfall actually looks like? No. But do they see something that is there, but others wouldn’t be able to sense in reality? Also no, as long as we use a subjective experience of time as the baseline.
by mkagenius | 2025-08-09 07:04:37+00:00
There are similar commands for coderunner (not the UI frontend):

container image pull instavm/coderunner container run --name coderunner --detach instavm/coderunner

(for more comprehensive commands, see from line 51 https://github.com/instavm/coderunner/blob/main/install.sh#L...)

Frontend (coderunner-ui) is not inside a docker as of now.
by astrobe_ | 2025-08-09 07:05:56+00:00
> The bit about running the study multiple times also seems kinda random.

Reproducibility? But knowing it comes from the CEO of Github, who has vested interests in that matter because AI is one of the things that will allow to maintain Github's position on the market (or increase revenue of their paid plans, once everyone is hooked on vibe coding etc.), anyone would anyway take it with a grain of salt. It's like studies funded by big pharma.
by scarab92 | 2025-08-09 07:08:39+00:00
I think that perspective mostly exists amongst the chronically online. I don’t see it much in the real world.

All EVs depreciate quickly, Tesla isn’t unique in this regard.

The reason is simply that the market is currently higher income earning early adopters. That customer base is willing to pay the premium for the newest model, and upgrades quickly when newer models come out.

This results in a large of supply of 3 year old vehicles, but not much demand.

In time we’ll see used EVs depreciate at rates more similar to ICE vehicles, as mainstream buyers, who view EVs as a car rather than a tech product, enter the market.
by refulgentis | 2025-08-09 07:08:57+00:00
"This isn't just about compression—it's about"

This isn't just about a technical issue—it's about...

...the effort one puts into their writing and how it affects perception of content, i.e. here's some extremely common LLM slop the writer couldn't be sussed to edit, what else did they miss? Does it affect anything I gleaned from the article?
by Rohansi | 2025-08-09 07:09:11+00:00
You'll want to look at benchmarks rather than the theoretical maximum bandwidth available to the system. Apple has been using bandwidth as a marketing point but you're not always able to use that bandwidth amount depending on your workload. For example, the M1 Max has 400GB/s advertised bandwidth but the CPU and GPU combined cannot utilize all of it [1]. This means Strix Halo could actually be better for LLM inference than Apple Silicon if it achieves better bandwidth utilization.

[1] https://web.archive.org/web/20250516041637/https://www.anand...
by pjmlp | 2025-08-09 07:09:52+00:00
Not officially, nope.

Only these APIs are official, and none of them are Linux specific, rather Khronos and ISO standards, alongside Android specific native APIs.

https://developer.android.com/ndk/guides/stable_apis

Also to note that even though these APIs are enough for developing games, and are also available on GNU/Linux, Valve has to make use of Proton, because none of the studios targeting Android/Linux cares about GNU/Linux.
by pcrh | 2025-08-09 07:10:07+00:00
I was referring to start-ups that are not acquired. For example a VC may fund a range of biotech companies, but only recoup on those that are acquired. Equally there are many examples of drug-based biotech that simply fail for a range of reasons, losing all the money invested in them.

The point being that the general concept that acquired research may be more efficient compared to in-house research would have to account not only for the failed in-house research, but also for the failed research within companies that are not acquired, or which fail for other reasons.
by teiferer | 2025-08-09 07:11:45+00:00
While I agree with your overall sentiment, I'm also always surprised by the asymmetric expectation between legislation and executive power. If the premise is "let's ensure by democratic means that the laws are such-and-such", why not equally ask for "let's ensure by democratic means that we have a government that we trust"? That is to say, if you expect to have a government that is your adversary and wants to suppress you then how come you are hoping for laws to protect you? The same process that brings those governments into power also creates the laws.

TL;DR: Too much focus on laws, too little focus on trustworthy government?
by benreesman | 2025-08-09 07:11:49+00:00
Google will win the LLM game if the LLM game is about compute, which is the common wisdom and maybe true, but not foreordained by God. There's an argument that if compute was the dominant term that Google would never have been anything but leading by a lot.

Personally right now I see one clear leader and one group going 0-99 like a five sigma cosmic ray: Anthropic and the PRC. But this is because I believe/know that all the benchmarks are gamed as hell, its like asking if a movie star had cosmetic surgery. On quality, Opus 4 is 15x the cost and sold out / backordered. Qwen 3 is arguably in next place.

In both of those cases, extreme quality expert labeling at scale (assisted by the tool) seems to be the secret sauce.

Which is how it would play out if history is any guide: when compute as a scaling lever starts to flatten, you expert label like its 1987 and claim its compute and algorithms until the government wises up and stops treating your success persobally as a national security priority. It's the easiest trillion Xi Xianping ever made: pretending to think LLMs are AGI too, fast following for pennies on the dollar, and propping up a stock market bubble to go with the fentanyl crisis? 9-D chess. It's what I would do about AI if I were China.

Time will tell.
by motorest | 2025-08-09 07:12:03+00:00
> I always keep my ICE cars for at least 25 years.

That's not what service life means. It's a design requirement that is used to drive probabilistic models that determine longevity targets for individual components, and also reflects a manufacturer's commitment to support a specific model.

Yes, your car is expected to still run after 12 years. Some cars also run after doing 200k miles.

> It is crazy to me that people are getting rid of them after only 12 years.

Some people replace cars way earlier than that, either because maintenance becomes too expensive due to severe use (see Uber drivers) or because they simply feel like it. There's a reason where car leasing is a successful business.
by pera | 2025-08-09 07:13:16+00:00
I am not sure which heartless comments you are referring to but what I do see is genuine concern for the mental health of individuals who seem to be overly attached, on a deep emotional level, to an LLM: That does not look good at all.

Just a few days ago another person on that subreddit was explaining how they used ChatGPT to talk to a simulated version of their dad, who recently passed away. At the same time there are reports that may indicate LLMs triggering actual psychosis to some users (https://kclpure.kcl.ac.uk/portal/en/publications/delusions-b...).

Given the loneliness epidemic there are obvious commercial reasons to make LLMs feel like your best pal, which may result in these vulnerable individuals getting more isolated and very addicted to a tech product.
by Maxious | 2025-08-09 07:13:50+00:00
There was skepticism last time this was posted https://news.ycombinator.com/item?id=37740932

Implementation for gpt-oss this week showed 2-3x improvements https://github.com/ggml-org/llama.cpp/pull/15157 https://www.reddit.com/r/LocalLLaMA/comments/1mkowrw/llamacp...
by jjav | 2025-08-09 07:15:59+00:00
> > Don’t ICE cars require a lot more maintenance per mile than EVs?

> Yes, and this to me feels like one of the least understood things about EVs.

Well my anecdote is different. We're on our third EV over 11 years, so have a bit of experience.

Each one of those 3 EVs has spent at least 10x more days at the dealer than my 15 year old Mazda (ICE) minivan (which has spent exactly one afternoon at the dealer).
by chii | 2025-08-09 07:16:21+00:00
> largely because subscribing to a VPN costs money and requires a debit card.

there are VPNs that are proxied out of local residential IP because these gateways are running off users' machines; these VPNs are "free" (they make money by making you run their gateway, and then sell your IP to botnets for example).

i would want to envision a true p2p vpn network not too dissimilar to bittorrent (but without the spyware/malware).
by 3036e4 | 2025-08-09 07:18:36+00:00
The great thing about many (not all) "worldbuilding or other creative tasks" is that you could get quite far already using some dice and random tables (or digital equivalents). Even very small local models you can run on a CPU can improve the process enough to be worthwhile and since it is local you know it will remain stable and predictable from day to day.
by FabHK | 2025-08-09 07:19:24+00:00
Very neat! Just one comment: For square root of 1.47 you don't need to take the log, half it, and exp it again. It's just sqrt(147/100), or a bit more than sqrt(144/100) = 12/10 = 1.2.

(If you like mental math you can then run an iteration of Newton's method: you take the remainder between the number and the square of your guess, 1.47-1.44 = 0.03, and divide it by twice your current guess, and add it to the current guess: 0.03 /(2x1.2) = 3/2.4 / 100 = 1.25 / 100 = 0.0125, so the next guess would be 1.2 + 0.0125 =1.2125. And the actual sqrt of 1.47 is 1.2124355653..., so that's pretty close. Newton's method roughly doubles the number of accurate digits at each iteration.)
by bruce511 | 2025-08-09 07:20:00+00:00
1) no base on the moon (or mars) has the potential to be earth independent. If earth loses the ability to resupply the base dies.

2) science on earth drives scientific development. The fields of science best done on the moon are insanely narrow. All of the scientific advancements from Apollo etc were from building stuff to get there, not being there.

Yes we could collect, and study, more moon rocks. But outside of that theres not much to study (that can't be better studied on earth or in LEO).

The cost of study on the moon is a few orders of magnitude higher than LEO which in turn is a few extra zeros from study on earth.

I'll add that right now budgets for study on earth have been slashed. There's a lot more value to be gained spending that moon money here.

3) this argument is irrefutable. It's also pretty weak when appropriations are discussed. Apollo got killed because "been there, done that" with next to no reoccurring value.

Space has given us huge value. Mostly in LEO. GPS, Weather, Communications, satellite TV. Plus further out, Hubble, James Web, and probes like Voyager et al feed us data. This is the legacy of Apollo. Moon bases? Mars Bases? They make no scientific or financial sense.
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by unsalltan | 2025-08-09 07:24:19+00:00
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We’ve launched our MVP and are looking for early enterprise partners to shape the product.
by motorest | 2025-08-09 07:24:51+00:00
> You're reading that wrong. The average age of a licensed car is 12 years. So that means the average age of disposal is 24 years.

I'm repeating verbatim claims from car forums made by people claiming to be automotive engineers who worked for major car manufacturers.

I am talking about claims like this:

> I spent 25 years as an engineer at Rover Group and now work for it's evolved equivalent. Overall, vehicles are designed for a lifetime of 12 years or 120,000 miles and engineering standards are intended to reflect this. this is pretty much standard across the industry.

Tell me how I am reading that wrong.
by p0w3n3d | 2025-08-09 07:26:17+00:00
When I used to play Transport Tycoon Deluxe the most annoying were new companies which emerged every 6 months after I bought the last one. I had to buy them quickly because otherwise they would build their tracks and grow and later it would be harder to buy them...

Hmmm... I'm just saying things that are loosely related
by pjmlp | 2025-08-09 07:28:17+00:00
Regardless of the CPU, the time to upgrade every year is long gone, even without taking M chip series into consideration.

Most of my home stuff is from around 2010, my work laptop is from 2021, and neither at home, nor at work, do I need more programming power.

I have enough cores, RAM, disk space, and graphic cards, to still code whatever I feel like locally, with exception of ray tracing or latest AI models, neither of which are that relevant to my computing activities.

So I will keep using them until they die, or there is no hope left of the battery and need to acquire a new one to take outside the house.
by tannhaeuser | 2025-08-09 07:32:39+00:00
Whoever the idiot was who came up with piling inline CSS and JS into the already heavy SGML syntax of HTML should've considered his career choices. It would've be perfectly adequate to require script and CSS to be put into external "resources" linked via src/href, especially since the spec proposals operated under the assumption there would be multiple script and styling languages going forward (like, hey, if we have one markup and styling language, why not have two or multiple?). When in fact the rules were quite simple: in SGML, text rendered to the reader goes into content, everything else, including formatting properties, goes into atttibutes. The reason for introducing this inlining misfeature was probably the desire to avoid network roundtrip, which would've later been made bogusly obsolete by Google's withdrawn HTTP/2 push spec, but also the bizarre idea anyone except webdev bloggers would be editing HTML+CSS by hand. To think there was a committee overviewing such blunders as "W3C recommendations" - actually, they screwed up again with CSS when they allowed unencoded inline data URLs such as used for SVG backgrounds and the like. The alarm bells should've been ringing at the latest the moment they seriously considered storing markup within CSS like with the abovementioned misfeature but also with the "content:" CSS property. You know, as in "recommendation" which is how W3C final stage specs were called.
by Jensson | 2025-08-09 07:32:45+00:00
> but it probably also means that humans don’t have AGI since it won’t be hard to find humans that can’t.

Humans can learn to fix it. Learning is a part of intelligence.

The biggest misconception is thinking that a humans intelligence is based on what they can do today and not what they can learn to do in 10 years. And since the AI model has already trained to completion when you use it, it should be able to do whatever any human can learn to do, or it should be able to learn.

With this definition AGI is not that complicated at all.
by systemswizard | 2025-08-09 07:35:38+00:00
Trust pilot is an interesting service that will allegedly hold reviews if they do not meet a threshold. It’s advertised as a way to help a resolution become an option, but it is also another way to be dishonest about the product’s reviews since there are often very few if any low reviews on their own website.

In regards to the OP and the company I do not know if they do this but don’t always take those ratings to heart.

App looks cool!
by Jensson | 2025-08-09 07:37:03+00:00
> If you're inferring in English and ask it a question, it will never be able to pull from the knowledge it has ingested in another language. Humans are able to do this without relying on a neurotic inner voice spinning around in circles and doing manual translations.

This is not true, this is the biggest strength of LLM that they are very language agnostic since they can parse things down to more general concepts. There are many things they are bad at but using things from other languages is not one of them.
by pjmlp | 2025-08-09 07:37:32+00:00
How universities have changed, almost 40 years ago we cared to have access at a computer, any at all.

I have had classmates that did the entire 5 year engineering degree in Software Engineering, using the computer labs computers, the modern ones running a mix of Windows 95 and Red-Hat dual booting, or the more ancient MS-DOS/Windows for Workgroups 3.11 and terminals to the DG/UX server.

Anyone was happy to have a computer of some sort.
by tpoacher | 2025-08-09 07:38:08+00:00
Partlially agree, but one needs to try really, really hard to intentionally overlook the whole "influence of corporate giants on government" issue before the government regulation argument carries any practical weight.

So if anything this weakens the Fukushima argument: in a country with excellent regulatory tradition and little evidence of regulatory capture, this is less likely to be about bad or lacking government regulations.
by maldonad0 | 2025-08-09 07:38:40+00:00
Ha! I meant it. Every system has its pros and cons. I find quite a lot of modern democracies to be extraordinarily dishonest and shortsighted, pretending to be ruled by the people while the same oligarchy has in fact been ruling since time immemorial, and I hate it when I am lied to my face.

As another commenter said, democracies pride themselves in being transparent and true to themselves, things that are needed to be able to choose your collective destiny wisely, which is in turn the core a working democracy.

At least the Sultan of Oman is honest about him ruling and not me! We pretend to live in democracies while we live in oligarchies, because if we admited democracy has been corrupted, the house of cards would fall, since we have been building our worldview and values on the position that they are more just than others because it's the will of the people.

Finally, I'll add that liberalism is not unique to democracy, but able to fit into other governing systems.

I think there are better systems than democracy, one of them being mixed systems. Monarchism at the head of the country, democracy at the city level, and a parliament composed half and half of democratically elected local municipality representants and experts.
by imtringued | 2025-08-09 07:39:01+00:00
A massive problem with current generation llms is that they have a single globally ordered context and that the model is only allowed to append to the context.

This is like having a single tape Turing machine. They can simulate a multi tape machine, but at O(n^2) complexity.

The computation budget of an LLM is finite, so this has a massive practical impact.