MurphyA/hacker-news huggingface dataset:
by c4p0 | 2025-09-06 13:02:15+00:00
I'm developing a web open source application to create your own handwritten font. It's already functional, and I have plans to add new features. I encourage you to try it out. https://ownfonts.cielo.ovh/ Here's the source code: https://github.com/c4p0/OwnFonts If you're interested in collaborating on the project, you can send me a message on GitHub.
by dennis_jeeves2 | 2025-09-06 13:03:01+00:00
>lack of empathy

True. Infact I'd go so far as to say the medical community causes many of the health problem.

Speaking about empathy most people don't have it, not just the medical community. Even the victims will be victimizers at some point, it's very twisted situation.

( Btw, you have a very obvious pseudonym...)
by ctkhn | 2025-09-06 13:03:29+00:00
Leaf is great. Parents have the first model, and I love driving it whenever I'm visiting. Even after the battery degraded to under 90 miles, I was still able to make any drive I needed and recharge at home. Charging infrastructure around town has gotten a lot better too and I think when I have kids and need a car, the leaf is where I'll start my search.

Also, it's really incredible that the dealer only had the leaf charged to 16% at the time of sale.
by chriskanan | 2025-09-06 13:03:47+00:00
That's the practical reason for why one might care. Keep in mind that the solar system is rotating around the galaxy, so over time different stars become closer or farther away.

As the Kurzesagt video points out, a supernova within 100 light-years would make space travel very difficult for humans and machines due to the immense amount of radiation for many years.

Still, I think the primary value is in expanding our understanding of science and the nature of the universe and our location within it.
by ivape | 2025-09-06 13:04:42+00:00
Also, people need to accept that they’ve been doing regular ass programming for many years and can’t just jump into whatever they want. The idea that developers were well rounded general engineers is a myth mostly propagated from within the bubble.

Most people’s educations right here probably didn’t even involve Linear Algebra (this is a bold claim, because the assumption is that everyone here is highly educated, no cap).
by flykespice | 2025-09-06 13:04:48+00:00
> Is this actually a real problem?

I mean if Microsoft is "training" on your source code without consent (and potentially violating licenses) , that is a huge problem.

> I also checked the Rust compiler which is obviously waaaay more popular and it appears to have had zero copilot PRs

How do you asess whether some PR was made by an AI(like the user did)?
by fkimexcited | 2025-09-06 13:05:29+00:00
Using same game engines and physics lead to a generic look-and-feel, even if they do allow for a large amount of creativity and differences.

This _looks_ different, which is awesome!

Even if the atmospheric effects still need some honing, there's a ton of work around lighting to eventually be done, the edgy polys make it look about 20 years old, and it's a bit pixel-y around the edges, this is headed into a spectacular direction!

If my ADD were in charge of this project, here's what I'd add:

- Optional stars / environment - a universal simulation would be unrealistically computationally expensive, but just having stars would be neat. Later, a planet in the horseshoe nebula, or playing spherical versions of recorded or streaming video for AR or making homegrown music videos.

- Ability for others to share datasets - the Earth is f-ing awesome and I can't wait for the Moon! What about a place where users could share different datasets like Arrakis with it's sand dunes and 2 moons or Tatooine with its 3 moons, then maybe they could fly in a heighliner, landspeeder, frigate, or imperial lambda shuttle, or even the jetcar from Buckaroo Bonzai?

- Solar Mayhem - Simulate a crazy atmospheric and orbital space war simulation or arcade-style game with satellites, lasers, plasma / electrical discharges and arcing, dust and nanorobot clouds, cloaking, jamming, ramming, repairs by robots and soldiers in tethered spacesuits, zooming cameras and 2D/3D scanners in different wavelengths, spacefaring naval ships, UAPs and other secret government vehicles, and complex 20th century fantasies of space stations running on nuclear and otherworldly power.

- Eclipse Support - when you add the Moon, doing an eclipse is not just the shadow but you'll need to handle the cool colors on the edges when the moon is covering the Sun.

- Ocean Simulation - Orcas, fish, eels, coral, lobsters, octopi, old ruins, Atlantis with its merpeople, tictacs and other USOs!

- Beautiful water features in Baltic Sea, Yukon Delta, Mississippi River, Lena River, Petermann Glacier, Brunt Ice Shelf, South Georgia Island, Guinea-Bissau, New Caledonia, Patagonian Sea, and the Icelandic and Norwegian fjords.

- Weather simulation with a way to pull in current atmospheric data historically to fly through hurricanes and tornados or simulate tsunamis after earthquakes.

- Subterreania and the inner sun of the Earth.

- A 2D sim for flat earthers.
by wtcactus | 2025-09-06 13:06:01+00:00
“Could it perhaps be related to the increases in various kinds of air pollution? Water pollution? Pesticides or herbicides in our foods?”

The West is on a decreasing trend of all those kind of pollution since the 70s.

“Or even the dramatic increase in EM signals being broadcast everywhere?”.

It’s funny people are entertaining the hypothesis that EM radiation causes autism in the same conversation where they are trying to assure you that a drug that’s increasingly taken by pregnant women and that is proven to pass the placenta, is 100% harmless and can’t have anything to do with increased levels of autism.
by greenbit | 2025-09-06 13:06:10+00:00
It'd have to be pretty darned big, to sustain a population large enough to remain viable for a couple of centuries. You'd then have to figure out how to get enough delta-v on it to escape the solar system, but then you'd also need a way to get yet more delta-v at the other end, to slow enough to get captured in a useful orbit, or else fly right on out the other side. Assuming there's a planet you're aiming for, you'd want to establish an orbit of that. So this has to be a small asteroid scale ship, with propulsion that works, after centuries of micro meteorites and radiation, and possibly substandard maintenance.
by uoaei | 2025-09-06 13:06:24+00:00
Physics prevents detected objects from jumping unrealistically. Current systems seem not to account for that at all, reacting to objects which appear and disappear spontaneously. Sensor fusion is exactly the solution to this: use a variety of sensors as input to reliably identify actual obstacles. To fake all the sensors at once you'd need to fake vision, lidar, and transponder locations simultaneously.
by breuleux | 2025-09-06 13:06:30+00:00
We chose Python for Theano because Python was already the language of choice for our research lab. If it had been my choice, I would probably have picked Scheme (I was really into macros at that time) or Ruby (I think it's better designed than Python). But if we had done it in another language than Python, frankly, I'm not sure it would have taken off in the first place. Python already had quite a bit of inertia, likely thanks to numpy and matplotlib.
by layer8 | 2025-09-06 13:07:58+00:00
> Being VC backed isn't a deciding factor for adopting a forge. It's the community that drives adoption.

OP is arguing that VC should be a deciding factor. The “community” wouldn’t exist if people had made that a deciding factor.

A social network is not a community. It may contain many communities. GitHub has communities around projects. But GitHub as a whole isn’t a community.
by acomjean | 2025-09-06 13:08:01+00:00
If I remember initially GitHub (before MS) was free for open source and pay for everyone else. It wasn’t an entirely new idea (source forge?) but it use git which was rising in popularity.

I think GitHub added the “pull request” as a really useful add on to git and that really made it take off.

Oddly I used selfhosted git at an academic institution. I liked it because it was set up to use “hooks” https://git-scm.com/book/en/v2/Customizing-Git-Git-Hooks after check ins. This became much harder when we were pushed off to a commercial host ( gitlab a git hub competitor)
by dennis_jeeves2 | 2025-09-06 13:08:03+00:00
>Until there are reputable studies that can actually show something resembling a causal link,

Wrong approach. You prove that something is safe first (and there are ways to do it, one has to creative though) and then have people use it. One does not introduce something in the population and then trying to prove a causal link through stats. There are too many variable and it becomes easy to pass the buck by massaging numbers.
by epcoa | 2025-09-06 13:08:11+00:00
Without chronic ingestion of medications that compete for glucuronidation or certain CYP450 inducers like antiepileptics, FOUR GRAMS even as a single dose is virtually impossible to cause any harm.

One gram every 2 hours is 12 grams which is on the lower end of toxic doses.

Despite common belief, concurrent alcohol consumption surprisingly does not increase risk, since alcohol competes for CYP2E1 and reduces the rate of production of the toxic metabolite NAPQI. Similarly for chronic liver disease. The use of NSAIDS (ibuprofen, etc) with cirrhosis is absolutely less safe than tylenol at therapeutic doses.
by roxolotl | 2025-09-06 13:09:29+00:00
This seems inherently false to me. Or at least partly false. It’s reasonable to say LLMs hallucinate because they aren’t trained to say they don’t have a statistically significant answer. But there is no knowledge of correct vs incorrect in these systems. It’s all statistics so what OpenAI is describing sounds like a reasonable way to reduce hallucinations but not a way to eliminate them nor the root cause.
by weego | 2025-09-06 13:10:55+00:00
It's just a function of how much code you need to write, and how much un-interrupted time you have.

Editing this kind of configuration has far less cognitive load and loading time, so distractions aren't as destructive to the task as they are when coding. You can then also structure time so that productive agent coding can be happening while you're doing business critical tasks like meetings / calls etc.

I do think this is overkill though, and it's a bad plan and far too early to try and formalize The One Way To Instruct AI How To Code, but every advance is an opportunity to gain career traction so fair play.
by codingdave | 2025-09-06 13:11:03+00:00
Well, the first step is not taking measurements that are only used to cast blame.

Instead of flagging > 24 hrs as a bad thing, flag < 1 hr as a good thing. If your board is supposed to be about engineering performance, then highlight actual performance and don't highlight negatives. Slow PRs are a problem to be discussed within the team, and often can be resolved with a simple request: "I just put up a PR that needs to be reviews so I am not blocked..." That would encourage people to help each other, instead of building a culture that say 23 hours to review a PR is fine because it isn't on the board.

We resolved this concern on my last team without breaking people's dev flow by formalizing a practice that every time you step out of flow or finish a task, you review PRs before getting back into flow. It worked great for that team. Focus on those types of solutions.

And as far as any other metrics, take the same approach, seeking the positivity. There are two sides to every story, so choose to measure the good side.
by btbuildem | 2025-09-06 13:11:38+00:00
> found myself with a very short commute, only driving a few miles a day > No gasoline-powered car [...] could match the feel of pressing the throttle on an electric.

You know what is unmatched for joyful travel through space, with occasional bursts of adrenaline? Especially practical over short distances of a few miles?

A bicycle! Especially when you already have one vehicle for family obligations.

I snicker when I see those ads that promise you'll be just whooshing around through rolling hills in your newest automotive purchase. No, buddy, you'll be gnashing teeth in traffic most of the time.
by 101011 | 2025-09-06 13:13:10+00:00
I think it's fair to call out a dark pattern for account deletion (which, for better or worse, is common practice) - but the data training and data retention thing can both be disabled...I was much more surprised that they DIDN'T train on data as long as they did, when every other LLM provider was sucking in as much data as they could (OpenAI, Google, Meta, and xAI - although Meta gets a pass for providing the open-weight models in my head).

Anthropic has made AI safety a central pillar of their ethos and have shared a lot of information about what they're doing to responsibly train models...personally I found a lot of corporate-speak on this topic from OpenAI, but very little information.
by 49pctber | 2025-09-06 13:13:41+00:00
Anyone who would like to run an LLM would need to perform their computations on hardware. So picking hardware that is good at matrix multiplication is important for them, even if they didn't develop their LLM from scratch. Knowing the basic math also explains some of the rush to purchase GPUs and TPUs on recent years.

All that is kind of missing the point though. I think people being curious and sharpening their mental models of technology is generally a good thing. If you didn't know an LLM was a bunch of linear algebra, you might have some distorted views of what it can or can't accomplish.
by childintime | 2025-09-06 13:14:33+00:00
Let's rant a bit, as this isn't the first time one encounters this bit of trivia:

> Real-world compilers are incredibly complex pieces of software [1]

No they are not! What could be simpler than read a file and write another? Yet we have a culture where this is "incredibly complex", because we know it can fail at any time, for the silliest of reasons. It is an accusation of our state of affairs.

The code generation should be a part of the system we target, a core part of the OS, as any binary code can only be generated for a concrete system, which at authoring time is at best a presumption waiting to be invalidated, almost always sooner than we'd like. Double click a source file and it should execute. If necessary a dialog should pop up for us to fill in missing arguments.

This illustrates that we as a community do things wrong all the time. It's how we do things. It's what pays the bills. We are religious about it, as a stakeholder in evil. We repeat past mistakes.

We will be substituted by an AI that runs the show behind the scenes. Fuck off with your languages, build systems, operating systems, ABI, admin privileges and package managers. Nobody cares about the autistic fetish you're pushing. You're always trying to look into the future and anticipate all possible cases. Yeah, yeah, you're a genius, okay? Here's a cookie. Good boy. Now catch the ball, you self-sycophantic animal.

Don't let it be about you, free yourself, love what you do. The real problem is nobody else loves, for everybody is cursing each other in similar disgusting self-congratulatory orgasms, under the guise of capitalism. Forget that in society, the OS, you're worth more dead than alive [2].

[1] https://dusty.phillips.codes/2024/08/22/build-a-wasm-compile... [2] https://www.youtube.com/watch?v=SxTJAzLn2ew
by Esophagus4 | 2025-09-06 13:14:45+00:00
I happen to agree with you but for different reasons.

I will never bet on Musk, but I’m also not dumb enough to bet against him, given TSLA’s stock growth. The board has set a wild target for him before, and he hit it.

It’s too easy to say “he’ll never achieve that!” from the comfort of an armchair internet comment.

Ok, if you really believe that, step up to the line and place your bets. Because if you don’t believe it enough to put money on it, you probably don’t believe it that much.
by MarsIronPI | 2025-09-06 13:16:07+00:00
Well, reopening the class is the idiomatic way to define a method after the class definition, but if I wanted to write Ruby the ML/Common Lisp way, I would use "Class.define_method" like so:

String.define_method :yell do puts self.upcase end Numeric.define_method :yell do self.to_s.yell end

What I like most about Ruby is how close it gets to Lisp's flexibility of semantics (i.e. macros) without actually having macros. (Common Lisp is still my favorite language for larger projects though.)
A16Z scouting ambitious Swiss founders for $1M accelerator
by boggsss | 2025-09-06 13:17:27+00:00
Most Swiss startups stay small. ETH Board President Michael Hengartner said:

“Swiss startups need to think globally from day one to achieve true scale.”

a16z Speedrun is Andreessen Horowitz’s accelerator for early-stage founders. We’re scouting in Switzerland for founders ready to break the pattern and build something global from day one: • Up to $1M funding • 12 weeks in San Francisco • Private dinners with Marc & Ben • Mentorship from founders of Figma, DoorDash, Airtable & more

Deadline: Sept 28, 2025

If you’re building something ambitious or know someone who is, reach out On X: @bogdanvasile
by nancyminusone | 2025-09-06 13:17:35+00:00
Commenting probably bothers me the least on a list of things I think are bad about the internet. Comments are one of the few places you can still read about topic X and then see "well, here's topic Y". This is about the only thing making the internet a world wide web and not a world wide expanse of tiny unconnected islands. Search engines are not effective at making these connections anymore, and AI makes the connection but hides it.

As for the worst thing, I think it's that you can have "kittens playing" and "terrorist attack" posts right next to each other. That can't be a good way to view what's going on.
by johndhi | 2025-09-06 13:18:00+00:00
This thread is very funny and a lot of fun.

I'll also add that regardless of any access to web or printed materials, boys will get interested in boobs and seeing more of them by seeing them in the real world, on real women.

There is like no stronger instinct in human DNA than for males to be attracted to females. If it weren't that way our species probably wouldn't have survived down the millenia.
by goalieca | 2025-09-06 13:18:52+00:00
> It’s reasonable to say LLMs hallucinate because they aren’t trained to say they don’t have a statistically significant answer.

I’ve not seen anyone intuitively explain parameters for a real scale model.. perhaps because it’s all just thousand dimensional nonsense.

Statistics is a funny thing too. Pretty much everyone has seen how trend lines don’t always extrapolate very well.

I think OpenAI is biased to thinking that adding more parameters and training better will fix all ills. In a handwaving way, you can see this like adding more degrees to the polynomial when you curve fit on a spreadsheet. With enough parameters you can perfectly fit any dataset. That all works until you run across new inputs that are unlike training data.
by jerf | 2025-09-06 13:18:59+00:00
If you've already got it, I'm not exactly sure what you think the toil is? You just copy it places. Maybe just the MP3s for things like phones. Then use an MP3 player.

If you mean the inaccuracies of the metadata, again, you just peck at it as it bothers you. You don't have to fix it all at once. Any decent MP3 player can do searches for specific songs. Nor do you have to do a hard cut from streaming services.

I do have it all hooked up on Syncthing so my changes stay in sync but that's not exactly a hard thing. It's only marginally harder than a straight copy, and sometimes honestly even a bit easier given how dodgy phones can be about large normal copies.
by AlexandrB | 2025-09-06 13:19:21+00:00
I find it weird how companies talk out both sides of their mouth on AI. On the one hand it's this magical tool that will make you 10x more efficient at your job, and on the other it's something they have to market heavily and shove in your face at every turn - sometimes outright forcing you to engage with it. These two things don't seem compatible - if the tool was that good people would be beating down their doors to get it.
by hulium | 2025-09-06 13:20:58+00:00
The part about low-pass filtering using FFT ends with the conclusion that it is fundamentally a different thing from a gaussian blur ("Low Pass Filter ≠ Low Pass Filter"). However: A convolution in image space is just a multiplication in fourier space. If you multiplied with a gaussian in fourier space you should get a gaussian blur. It's just not necessarily the fastest option.
by nis0s | 2025-09-06 13:21:17+00:00
Long overdue action from a geopolitical standpoint. It’s in the best interests of a global power to keep regional players jockeying for 2nd or 3rd position. As soon as someone becomes regional power no. 1, they’re setting their sights on becoming global power no. 1. This can be extended to BRICS, and not just any one country in particular.
by xanderlewis | 2025-09-06 13:21:32+00:00
Come to think of it, a good example of the distinction are the NDBs (non-directional beacons) that aircraft use for navigation. They transmit, repeatedly, an identifier in Morse code, but the signal is an audio range frequency (somewhere around 500Hz) amplitude modulated onto a (radio frequency) carrier rather than being the carrier itself being pulsed.

One difference is that, if you tune an ordinary AM radio to the carrier frequency, in the CW case you’d hear nothing. In this case, you’d hear the tone as intended.
by hershkumar | 2025-09-06 13:21:55+00:00
Practically speaking, QM can be taught without the assumption that students understand the Hamiltonian formalism, simply by starting with Hilbert spaces and operators on Hilbert spaces. In fact, I would claim that having taken a class on basic linear algebra would better prepare you to understand quantum mechanics than mastering classical mechanics. QM is generally taught by referencing classical mechanics, but I believe that's more reflective of the fact that most universities require classical mechanics as a core course, and students coming in to QM will have generally taken it.
by sublinear | 2025-09-06 13:22:36+00:00
Wow they're really circling the drain here if they have to publish this.

It took a few years, but the jig is up. The layperson now has a better understanding of basic computer science and linguistics to see things as they are. If anything we now have a public more excited about the future of technology and respectful of the past and present efforts that don't depend so heavily on statistical methods. What an expensive way to get us there though.
by CuriouslyC | 2025-09-06 13:23:20+00:00
The most important thing is to have a strong plan cycle in front of you agent work, if you do that, agents are very reliable. You need to have a deep research cycle that basically collects a covering set of code that might need to be modified for a feature, feeds it into gemini/gpt5 to get a broad codebase level understanding, then has a debate cycle on how to address it, with the final artifact being a hyper detailed plan that goes file by file and provides an outline of changes required.

Beyond this, you need to maintain good test coverage, and you need to have agents red-team your tests aggressively to make sure they're robust.

If you implement these two steps your agent performance will skyrocket. The planning phase will produce plans that claude can iterate on for 3+ hours in some cases, if you tell it to complete the entire task in one shot, and the robust test validation / change set analysis will catch agents solving an easier problem because they got frustrated or not following directions.