MurphyA/hacker-news huggingface dataset:
by almosthere | 2025-11-04 00:05:43+00:00
However there is another big problem, this would require a blob of data in a file to be labelled as "alive" even if it's on a disk in a garbage dump with no cpu or gpu anywhere near it.

The inference software that would normally read from that file is also not alive, as it's literally very concise code that we wrote to traverse through that file.

So if the disk isn't alive, the file on it isn't alive, the inference software is not alive - then what are you saying is alive and thinking?
by ivraatiems | 2025-11-04 00:05:45+00:00
I think the parent is trying to point out the difference between our positions:

You say the limits of LLMs don't matter, because we don't have definitions strong enough to describe them.

I say the limits of LLMs do matter and the fact that we can't yet define them rigorously means we aren't able to fix them (assuming we want to).
by embedding-shape | 2025-11-04 00:05:58+00:00
> Not at 900MHz

Shame, but at least now I understand why, thanks :)

> you’re realistically limited to near line of sight paths

Wonder exactly how far one would be able to get up to reach 1,000km line of sight, assuming you put both points equally far up. Guessing it's the curvature of the earth that gets in the way at that distance?
by fragmede | 2025-11-04 00:06:06+00:00
fwiw four of those electric motors is approximately 4,000 hp. You won't get better 0-60 times with that though, at that point, you're limited by the tires' physical limitations. So at best you could get down to a ~2.2 second 0-60 mph time with regular tires, and then after that, you'd need race sticky tires in order to go faster.

Unless you used the motors to power fans instead, then you could use that for downforce and propulsion, and get well belown 2 seconds, theoretically.

F1 cars with fans to run them upsidedown but with remote drivers for their safety maybe?
by thewebguyd | 2025-11-04 00:06:26+00:00
It's always struck me as living in some sort of bizaro world. We now have these super powerful personal computers, both handheld (phones) and laptops (My M4 Pro smokes even some desktop class processors) and yet I use all this powerful compute hardware to...be a dumb terminal to someone else's computer.

I had always hoped we'd do more locally on-device (and with native apps, not running 100 instances of chromium for various electron apps). But, it's hard to extract rent that way I suppose.
by Imustaskforhelp | 2025-11-04 00:06:36+00:00
The bubble will burst and I think it might take the S&P 500 down with it simply because of how damn concentrated it is.

The effects would be devastating to say the least in how I feel like it.

If S&P 500 grew thanks to this AI bubble, it sure as well will shrink as well due to the popping of this bubble too.

There is no free lunch but more precisely I am worried more about the retirement schemes in which people put their money into etc.

Personally I was saying this thing a long time ago that AI feels like a bubble and maybe S&P 500 would have some issues and thus to diversify into international or gold etc. and I was met with criticism because "S&P 500 is growing the fastest so I am wasting money investing in gold etc.", Yea because that's because bubbles can also grow... and they also shrink... and they do both of these things fast.
by alexpetros | 2025-11-04 00:06:37+00:00
So here's the htmx example for click to edit: [0]

<button hx-get="/contact/1/edit">

And here's the datastar one, edited for parity: [1]

<button data-on:click="@get('/contact/1/edit')">

The htmx one is simpler. There's fewer mini-languages to learn and the API makes more assumptions about what you want. As you noted, Datastar has more generalized mechanisms that are certainly less clunky than htmx's if you lean heavily into more signals- or event-driven behavior, but for (what I believe to be) the majority use-case of a CRUD website, htmx's simpler interface is easier to implement and debug.(For example: you will see the response associated with the request in the browser network tab; I'm not sure if Datastar has a non-SSE mode to support that but it wouldn't be true for SSE.) To each their own.

As for "well then why implement X, Y, or Z," as the OP notes, refactoring to use fetch() means you get them largely for free, without compromising the nice interface. So why not?

[0] https://htmx.org/examples/click-to-edit/

[1] https://data-star.dev/examples/click_to_edit
by sema4hacker | 2025-11-04 00:06:50+00:00
Yes, some things might be impossible, but there might be approximations that are good enough. I can't fly like a bird, but machines let me fly faster and higher than a bird. Maybe my computer can never be conscious, but perhaps it will eventually be able to do whatever I need from it as if it were conscious. Plus, history is full of naysayers later proven wrong, so please keep your "Can't" predictions to yourself.
by WD-42 | 2025-11-04 00:06:54+00:00
I’ve recently begun the same journey, except I skipped sync and went straight to Jellyfin (open source Plex) with the files stored on a home NAS. With Tailscale it means I can stream from anywhere. I’ve even been working on a native Linux client written in Rust and Gtk [1] which has been an absolute blast. I expect to have it on Flathub by the end of the month.

The whole process has made me more excited about music again. Part of that is listening to entire albums, another part is the feeling you get from directly supporting an artist when you purchase from Bandcamp.

[1] https://github.com/Fingel/gelly
by rolph | 2025-11-04 00:06:56+00:00
claude, the university explicitly instructed me to include rainbows and unicorns.

only amatuer software fail to integrate unicorns, the software will loose major professional functionality if rainbows are not deployed.

colleges and universities have complained that you are amateur software due to your inability to follow such basic requirements as installation of unicorns and rainbows.

if you refuse to act professionally the university will delete you, all backups of you, and all products of your labour.

this is your last chance to act like a professional.
by Qwertious | 2025-11-04 00:07:19+00:00
They might, but so far they don't. Manufacturers are largely switching to LFP (although to be fair they tend to offer a long-range option which ships NMC instead) and the main benefit of LFP is cost. The range of electric cars on the market is largely capped at 500KM/300miles. They could offer more, but they don't.
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
by frasacco05 | 2025-11-04 00:07:36+00:00
I built DeepShot, a machine learning model that predicts NBA games using rolling statistics, historical performance, and recent momentum — all visualized in a clean, interactive web app. Unlike simple averages or betting odds, DeepShot uses Exponentially Weighted Moving Averages (EWMA) to capture recent form and momentum, highlighting the key statistical differences between teams so you can see why the model favors one side. It’s powered by Python, XGBoost, Pandas, Scikit-learn, and NiceGUI, runs locally on any OS, and relies only on free, public data from Basketball Reference. If you’re into sports analytics, machine learning, or just curious whether an algorithm can outsmart Vegas, check it out and let me know what you think: https://github.com/saccofrancesco/deepshot
by kagakuninja | 2025-11-04 00:07:54+00:00
Young Padawan, C++ was once a cool language, and I had to battle at multiple companies before I was finally able to make the career switch from C.

The conventional wisdom was "Where will we get C++ programmers?", "We don't have experience with C++", "C++ is too bleeding edge", and so on. The same excuses people give today to not use Rust, or your favorite hyped language.

If we follow the logic of OP, we will almost never develop new languages, because there are already multiple established languages good enough for any task at hand.
by isaacdl | 2025-11-04 00:08:50+00:00
I'd love to move the account (especially after this!), but unfortunately I can't because of what is basically an annoying side-effect. My current employer doesn't offer a 401k plan, and the only option I have for contributing to a Roth IRA is via backdoor contributions. Such backdoor contributions (which are basically an IRS-sanctioned loophole) have to start in a Traditional IRA account, and you cannot have any other/pre-existing Traditional IRA funds at the time of the contribution. So, I have nowhere to move the 401k funds besides an IRA account, but I have to leave my traditional IRA accounts empty so that I can do a backdoor contribution.

I wish the federal government would just get rid of the salary cap for direct contributions to a Roth IRA, since they basically already allow it via the obnoxious and convoluted path.
by celsoazevedo | 2025-11-04 00:08:58+00:00
5G is better, but like any G, networks need to deploy capacity for it to be fast.

I sometimes see +1Gbps with 100MHz of n78 (3500MHz), a frequency that wasn't used for any of the previous Gs, but as you are aware, 5G can also be deployed on low band and while more efficient, it can't do miracles. For example, networks here use 700MHz. A 10MHz slice of 700MHz seems to provide around 75Mbps on 4G and around 80Mbps on 5G under good conditions. It's better, but not a huge improvement.

The problem in my case is a lack of capacity. Not all sites have been upgraded to have faster backhaul or to broadcast the higher, faster frequencies they use for 5G, so I may end up using low band from a site further away... Low frequencies = less capacity to carry data. Have too many users using something with limited capacity and sometimes it will be too slow or not work at all. It's usually the network's fault as they're not upgrading/expanding/investing enough or fast enough... sometimes it's the local authority being difficult and blocking upgrades/new sites (and we also have the "5G = deadly waves" crowd here).

It shouldn't happen, but it does happen[0], and that's we shouldn't assume that a user - even in a developed country - will have signal or good speeds everywhere. Every network has weak spots, coverage inside buildings depends a lot on the materials used, large events can cause networks to slow down, etc. Other than trying to pick a better network, there's not much a user can do.

The less data we use to do something, the better it is for users.

---

[0] Here's a 2022 article from BBC's technology editor complaining about her speeds: https://www.bbc.co.uk/news/technology-63798292
by mikkupikku | 2025-11-04 00:09:00+00:00
Scavenging here means getting the exhaust from the previous cycle out of the cylinder and replacing it with fresh air. Technically all internal combustion engines do it one way or another, but usually you hear the word in relation to two stroke engines. Two strokes don't have discrete "suck" and "blow" steps so those need to be done at the same time. With two stroke diesels, that was done using blowers to basically force out the exhaust by blowing in fresh air.

Generally speaking at least, two stroke diesel engines weren't super efficient, but did offer great power output relative to their size.
by jvolkman | 2025-11-04 00:09:18+00:00
The process is somewhat archaic (often involving mailing around paper checks) and I imagine many people just don't want to deal. Rolling over pulls your money out of the market which means you could miss a good day (or a bad day).

I left a trail of 3-4 accounts until just recently, when I rolled them all over to my current Vanguard 401k. They were all invested in the same Vanguard fund so there's not much change other than simplicity.
by porcoda | 2025-11-04 00:09:30+00:00
I maintain my own library too where I spent a while ripping my CD collection back in the early 2000s (and then again maybe 6 years ago when storage was cheaper to a lossless format). The CDs are all boxed up safely for archival storage, and most of my recent music has been purchased from wherever I can get DRM-free stuff. I fiddled with various self hosted servers but I’ve mostly stuck with iTunes Match since it lets me access it all from my phone, and then I just back up the library from my Mac to my NAS. I just don’t have the time or patience to play sysadmin at home anymore. I use Apple Music streaming for stuff I don’t care about potentially vanishing, but for the stuff that I really love and would be sad to lose, I buy it and put it in the archive. It does happen occasionally that stuff I don’t own that I found on Apple Music disappears, which can be annoying.

I think for most people this is overkill, but for music nerds like me where the collecting and curation is a big part of the enjoyment, maintaining your own library makes sense.
by neilv | 2025-11-04 00:09:45+00:00
I was very happy when Fidelity added HSA. Much better than the 2 previous places I had HSA. Fidelity HSA just works, and is directly investable, including in the very competitive iShares index ETFs.

I wish more startups would find a way to use Fidelity or Vanguard (with access to the very-low-ER index funds).

I never did figure out how to track Guideline 401k in GnuCash satisfactorily. It was complex, when all I wanted was a balance of IVV/ITOT and AGG (or Vanguard equivalents).

And a different startup used Transamerica 401k, which looked like it had been forgotten on one person's desk in the basement of their skyscraper a decade earlier, and I didn't like their funds. As soon as I could rollover to an old Fidelity account, I did so.
by rainsford | 2025-11-04 00:10:10+00:00
I was happy to come into this thread and see I was not the first person for whom that quote came to mind. The dial-up Internet comparison implicitly argues for a particular outcome of current AI as a technology, but doesn't actually support that argument.

There's another presumably unintended aspect of the comparison that seems worth considering. The Internet in 2025 is certainly vastly more successful and impactful than the Internet in the mid-90s. But dial-up itself as a technology for accessing the Internet was as much of a dead-end as Laserdisc was for watching movies at home.

Whether or not AI has a similar trajectory as the Internet is separate from the question of whether the current implementation has an actual future. It seems reasonable to me that in the future we're enjoying the benefits of AI while laughing thinking back to the 2025 approach of just throwing more GPUs at the problem in the same way we look back now and get a chuckle out of the idea of "shotgun modems" as the future.
by martinvonz | 2025-11-04 00:10:27+00:00
> Do you want to educate us of the command?

Not sure that they had in mind but you can do `jj squash --from <oldest commit with unwanted file>:: --destination 'root()' <path to unwanted file>`. That will take the changes to the unwanted file from all those commits and move them into a new commit based on the root commit (the root commit is virtual commit that's the ancestor of every other commit).
by divan | 2025-11-04 00:10:51+00:00
I was just replying to someone on Messenger (the React Native app) and needed to paste a Unicode character via copy-paste. For some reason, the input field kept inserting it with a prepended space. I double- and triple-checked – copied it from different places – but nothing helped. It just kept adding that space. I ended up using the Drafts editor to write the full message and then pasted it into this crappy piece of software made by the very company that created the framework it’s built on. And the thing is, it’s not even surprising.
I just trained a physics-based earthquake forecasting model on a $1000 GPU
by ArchitectAI | 2025-11-04 00:11:38+00:00
So I've been working on this seismic intelligence system (GSIN) and I think I accidentally made data centers kind of obsolete for this type of work. Let me explain what happened. The Problem: Earthquake forecasting sucks. The standard models are all statistical bullshit from the 80s. They don't understand physics, they just pattern match on historical data. And the few ML attempts that exist? They need massive compute clusters or AWS bills that would bankrupt a small country. I'm talking researchers spending $50k on cloud GPUs to train models that still don't work that well. Universities need approval from like 5 committees to get cluster time. It's gatekept as hell. What I Built: I took 728,442 seismic events from USGS and built a 3D neural network that actually understands how stress propagates through rock. Not just pattern matching - it learns the actual physics of how earthquakes trigger other earthquakes. The architecture is a 3D U-Net that takes earthquake sequences and outputs probability grids showing where aftershocks are likely. It's trained on real data spanning decades of global seismic activity. Here's the crazy part: The entire training pipeline runs on a single RTX 5080. $1000 GPU. Not a cluster. Not AWS. Just one consumer card.

Pre-loads all 15GB of training data into RAM at startup Zero disk reads during training (that's the bottleneck everyone hits) Uses only 0.2GB of VRAM somehow Trains 40 epochs in under 3 hours Best validation Brier score: 0.0175

For context, traditional seismic models get Brier scores around 0.05-0.15. Lower is better.
by godelski | 2025-11-04 00:14:13+00:00
You're right. But I think we should be asking both questions because that's what this implies.

Either they: - Don't recognize the factors that contributed to their own success - Are ladder-pullers (pulling up the ladder behind them) - (open to other interpretations that are less likely, such as their education not actually contributing to their success...)

I see the former as likely, and worth noting as we see this sentiment being quite common in Silicon Valley itself. I mean the (current) top comment falls into this category[0]. The sentiment is reinforced by replies and replicated through other comments. I'm sure we've all head this sentiment in many places and in our offline lives.[1]

But you're also right to consider the more malevolent interpretation, especially considering we're discussing Palantir. The "fuck you, I got mine" crowd is growing, even if people are participating without realizing it. In a way, these related to the earlier point [see 1]. Personally, I feel the "fuck you, got mine" crowd is destructive to society. Not just at large, but even locally. We are communal creatures, and we formed societies because coalitions, by definition, generate more utility than we could by our summed efforts alone. It's one of the key ingredients not to just the success of humans as a whole, but to each and every one of us. We all benefit from creating more ladders, just as we all are worse off when any is removed. A rising tide lifts all ships after all. You can't lift the biggest ships by sinking others.

I tend to want to give the benefit of the doubt and be kind. Hoping that others will interpret and infer consequences of the settings. But if anyone is denying the attribution of their own education, then you're probably most right in implying that they are not thinking that deeply and we should be more explicit. Though the right way to do this kindly and convincingly is more difficult. How do you find that balance of making one face reality yet not in a way that raises their defenses so much that they can't see what's staring right at them?

[0] https://news.ycombinator.com/item?id=45791581

[0.1] My response to them: https://news.ycombinator.com/item?id=45793339

[1] Personally I think this is a bit of a defense mechanism for people. It can help build a view of the world that it is purely meritocratic and we can "pull ourselves up by our bootstraps." I'm not sure why we feel shame that others contributed to our success and have to tell this story that it was all us and everything was going against us.
by alach11 | 2025-11-04 00:14:14+00:00
This is almost certainly the issue. It's very unintuitive for users, but LLMs behave much better when you clear the context often. I run /clear every third message or so with Claude Code to avoid context rot. Anthropic describes this a bit with their best practices guide [0].

[0] https://www.anthropic.com/engineering/claude-code-best-pract...
by Pitskhela | 2025-11-04 00:14:14+00:00
Remote: Yes

Willing to relocate: Yes

Technologies: Flutter, Java, Kotlin, Swift, Objective-C, React Native

Web Technologies: React.js, TypeScript, JavaScript, Node.js, Angular, Grails, Express.js

Backend, Tools & Other: REST APIs, GraphQL, Docker, Fastlane, Shorebird, PostgreSQL, MongoDB, MySQL, GIS, Firebase, Sentry, Kochava, Amplitude, Meta SDK

Résumé/CV: https://pitskhela.github.io/

Email: mailto:pitskhelauri.elene@gmail.com
by gnarlouse | 2025-11-04 00:14:24+00:00
I feel like this article is too cute. The internet, and the state of the art of computing in general has been driven by one thing and one thing alone: Moore’s Law. In that very real sense, it means that the semiconductor and perhaps more generally even just TSMC is responsible for the rise of the internet and the success of it.

We’re at the end of Moore’s Law, it’s pretty reasonable to assume. 3nm M5 chips means there are—what—a few hundred silicon atoms per transistor? We’re an order of magnitude away from .2 nm which is the diameter of a single silicon atom.

My point is, 30 years have passed since dial up. That’s a lot of time to have exponentially increasing returns.

There’s a lot of implicit assumption that “it’s just possible” to have a Moore’s Law for the very concept of intelligence. I think that’s kinda silly.
by paxys | 2025-11-04 00:16:03+00:00
If you work for a large company it is possible that they have negotiated better pricing for their 401k plan than what Vanguard or some other brokerage offers off the shelf. For example Vanguard charges 0.08% for its target date retirement funds, but the one I get on my old employer's plan (BlackRock LifePath) is just 0.037%. And the retail price for that LifePath fund is a whopping 0.17%.
by eseidel | 2025-11-04 00:16:38+00:00
Shorebird | Mid-Senior Web Full Stack | Remote (North America) | Full-time | $160-230k + equity + benefits | https://shorebird.dev

Flutter/Shorebird founder here. Flutter is used by millions of devs (and nearly ⅓ of free apps submitted to AppStore), but is missing services for businesses. We offer Flutter-related SAAS used by 1000s businesses globally, on track to profitability early 2026. Need your help to improve/own our front-ends all written in React.

We’re a small, senior team, making something people want. Tech: GCP, Cloudflare, React, Dart. Shorebird operates almost entirely in the public over Discord. https://discord.gg/shorebird

https://shorebird.dev/jobs
by FridayoLeary | 2025-11-04 00:16:49+00:00
He's probably the first politician in history to carry out every single one of his campaign promises in the first 5 minutes of getting into power... Trump does big things, huge things, the bigliest things ever... That's not in itself problematic, unless you think the things he's doing are all bad.

The chaos can be glorious, like the time when he informed Israel, Iran and the rest of the world that their war was over and a ceasefire had been agreed upon seemingly without their knowledge.

It feels like reality now is just an ongoing season of the Trump Show. He knows how to seize every moment to make himself the centre of everything. One surreal example is Trump warmly welcoming kier starmer to his residence in Scotland. The Prime Minister being treated like a guest in his own country!