MurphyA/hacker-news huggingface dataset:
by andrewaylett | 2025-04-22 21:28:03+00:00
The copyright notice in the LICENSE file was still there. Bring it along for the ride -- either by putting all the files in one subdirectory, or by referencing it from each file, or by adding a note letting people know which files were under which copyright. They could even have also added copyright headers to each of the files in question.

There's more than one way for Microsoft to have retained the required attribution. The problem is that they didn't pick any of them. The author offered them valuable code, and the requirements of the license weren't onerous -- if they're unwilling to follow them, they should just not use the code.
by Calwestjobs | 2025-04-22 21:28:24+00:00
im not sure about intel limiting. a lot of times people forget to calculate encoding and/or packet headers into raw speeds. or something like that.

or in that article it is possible usb4 controller is sharing bandwidth with some other device or it is only 20gbps PER controller and he has connected 2 cables to same computer in middle. so 10 IN + 10 OUT is 20gbps ? maybe if he tries to measure speeds for only neighboring machines it would be 20gbps ? but his speed is 11.8 so does not make sense either. i do not know.

i was thinking for home use, when i come home with notebook i can quickly sync it to nas. both have NVME drives so 3-4 GBps should be possible. especially video. also not needing wifi, because im connected thru same cable im charging is awesome.

also recovery/ssd cloning is nicer on quick connection.

virtual machines can stay on nas too with those speeds. no need to copy.
by Swizec | 2025-04-22 21:28:28+00:00
> I wish I knew how I did it, because I've been unable to regain that same "this is just what I do now and it's fine" level of acceptance that seemed to be the key.

Sometimes it’s as simple as “doesn’t hurt enough yet”

My grandpa was a liter of wine per day (or more) kinda guy. Then he hit his 70’s and it didn’t feel good anymore. So he stopped and hasn’t had a glass of alcohol since. Just doesn’t feel like it. Even when others drink around him.
by brunobrasilweb | 2025-04-22 21:28:29+00:00
I initiated this project to automate TailwindCSS components, as crafting polished outputs manually is time-consuming. By integrating AI, the development process can be streamlined and greatly expedited.

Snipzin is an online tool designed to help developers and designers generate beautiful, responsive Tailwind CSS snippets instantly. Whether you're building UI elements or complete layouts, Snipzin offers customizable components tailored to your needs. With features like lightning-fast generation, production-ready code, and options for both free and premium plans, it's an ideal solution for streamlining your front-end development process.
by 7bit | 2025-04-22 21:29:16+00:00
The Windows 11 Explorer is also buggy as shit. They still haven't solved the issue where folders within the Download folder randomly enable grouping again. Or you know, where you could click on the address bar and see the full path to the download folder, instead you see the word Download. Great fucking Job. They butchered the W10 explorer, painted it gold, and tapped themselves on the shoulder.
by dagss | 2025-04-22 21:29:38+00:00
I wonder if this is a bug:

-- If no locks are found, return the maximum possible bigint value if max_seq is null then return 9223372036854775807; end if;

Would be a race here by returning a big number to the caller, then more data is written in between? Should instead check the current max sequence number before checking the locks?
by em-bee | 2025-04-22 21:30:37+00:00
pike's C interface also looks very good. pike had built-in async I/O from the very beginning. the roxen webserver is built on async I/O. it doesn't fork, and on an overloaded system it is one of the last services standing because of that.

python likely caught up and overtook pike because it had better community support. one downside of pike is that it is slow to start, making it less convenient for quick scripts, which python was a lot better at, so python was more likely to replace perl in sysadmin work where short scripts matter more further helping its popularity.
by michaelt | 2025-04-22 21:30:43+00:00
Internet Archive has a bunch of scanned magazines from the period - such as https://archive.org/details/computer-shopper-june-1996-image... and as you say, $1000 was on the low end.

It's a real blast from the past. I'd forgotten you used to be able to pay $7000 for a laptop, and $100 for a 10-megabit ethernet card.
by alexpotato | 2025-04-22 21:31:08+00:00
This entire article reminded me of reading the introduction to Ender's Game by Orson Scott Card (it's in the 25th anniversary edition).

He mentions reading Kon-Tiki by Thor Heyerdahl and finding archaeology, as described by Thor, to be incredibly fascinating and exciting (which I agree with having read Kon-Tiki as well).

Card goes on to say that when he tried ACTUAL archaeology he found it incredibly boring. e.g. it was mostly sitting out in the hot sun dusting off rocks hoping to find some bones.

It's a reminder of two facts:

1. EVERY activity has exciting and boring pars

2. A good writer can make even dull and boring activities comes alive
by Frieren | 2025-04-22 21:31:15+00:00
> The data collection indicated a worrying series of fatal accidents in Brazil, all concentrated in five months. The recurrence of these accidents in rural regions and the intense sound of the discharge reported by witnesses indicate the proximity and intensity of the lightning during the accidents.

So, rural areas without lightning rods nor any other safety mechanism. Good study that can save lives by taking prevention measures in rural areas in developing countries. But it will probably not affect anybody living in New York.
by codegeek | 2025-04-22 21:31:29+00:00
We’re open‑source under the MIT Expat license"

Not quite. You should clarify a bit more. The README has this about their license.

"Certain features - such as Morphik Console - are not available in the open-source version. Any feature in the ee namespace is not available in the open-source version and carries a different license. Any feature outside that is open source under the MIT expat license."
by Adityav369 | 2025-04-22 21:32:08+00:00
Do you mean ingesting the extracted rectangles/ bounding boxes? We're actually working on bounding boxes, this is a good insight and we can add this to the product. However, the way we ingest is literally converting each page to an image then embedding that so the text, layout, diagrams are all encoded in. Would like to know what the exact use case is, can help you better
by skissane | 2025-04-22 21:32:14+00:00
> This distinction might sound very important for people within one of those religions, but it sounds pretty trivial from the outside. Changing secular law to reflect religious law versus directly applying religious law, who cares? The result is the same

The result is very different. If Sharia were fully implemented in your country, you’d go to the local courthouse and the judge would be a religious scholar applying the religious law of the Islamic state religion. Whereas, if conservative Christians vote for laws which encode their moral views (on abortion or whatever), those laws remain formally secular, and the judge enforcing them is not a religious official. Sharia expressly discriminates in favour of Muslims (e.g. it says the word of a Muslim witness is worth more than that of a non-Muslim witness in court); the laws you are complaining about don’t do anything remotely similar.

> And for excessive focus, maybe you haven't noticed, but that fringe position is wielding a tremendous power in the country where I live at the moment.

How? Trump is not a theonomist. Nor is Vance. Nor is Musk. I don’t believe any of the Cabinet secretaries are theonomists. Nor are any of the Supreme Court justices. The only way anyone can conclude that theonomy has any contemporary influence in the US government is by misrepresenting non-theonomist views as theonomy.
by NoTeslaThrow | 2025-04-22 21:32:40+00:00
Isn't this a wittgensteinian problem? ie how you interpret language is inherently subjective. But regardless of what language you use, or how you intend to bind the terms to reality semantically, apriori truth is still apriori truth. It's the only basis of objective "truth" we have access to. Throwing that out the window feels like tossing the baby out with the bath water.

Imo, this just comes down to the fact that most people would consider "standard" to be a floating signifier. I don't think the idea that mathematical concepts changing definitions when you change axioms is at all controversial in itself.
by programjames | 2025-04-22 21:32:41+00:00
Sure. The original normalizing flows used a fixed number of layers. Someone at UToronto recognized that, as the number of layers gets very deep, this is essentially an ordinary differential equation (ODE). Why?

Suppose you have n residual layers that look like:

x_0 = input x_{i+1} = x_i + f(x_i) x_n = output

If you replace them with an infinite number of layers, and use "time" t instead of "layer" i, you get

x(t+dt) = x(t) + dt f(x(t)) <=> x'(t) = f(x, t)

so to find the output, you just need to solve an ODE. It gets better! The goal of normalizing flows is to "flow" your probability distribution from a normal distribution to some other (e.g. image) distribution. This is usually done by trying to maximize the probability the training images should show up, according to your model, i.e.

loss(model) = product model^{-1}(training image)

Notice how you need the model to be reversible, which is pretty annoying to implement in the finite-layer case, but with some pretty lenient assumptions is guaranteed to be true for an ODE. Also, when you're inverting the model, the probabilities will change according to the derivative; since you have more than one dimension, this means you need to calculate the determinant of the Jacobian for every layer, which is decently costly in the finite-layer case. There are some tricks that can bring this down to O(layer size^2) (Hutchinson++), but the ODE case is trivial to compute (just exp(trace)).

So, turning the model into an ODE makes it blazing fast, and since you can use any ODE solver, you can train at different levels of precision based on the learning rate (i.e. the real log canonical threshold from singular learning theory). I haven't seen any papers that do this exactly, but it's common to use rougher approximations at the beginning of training. Probably the best example of this is the company Liquid AI.

Finally, this all turns out to be very similar to diffusion models. Someone realized this, and combined the two ideas into flow-matching.

-----

This is one place it's super useful to know numerical methods, but here are a couple others:

1. Weight initialization --> need to know stability analysis

2. Convolutions --> the Winograd algorithm, which is similar to ideas in the FFT and quadrature
by namaria | 2025-04-22 21:32:48+00:00
I think this is just another correction. The software market is worth several trillion dollars now. Enterprise is pushing against the rise in labor costs. It will backfire as it did every single time and in a few years competent developers will be worth their weight in platinum.

For nearly 50 years now, software causes disruption, demand drives labor costs, enterprise responds with some silver bullet, haircuts in expensive suits collect bonuses, their masters pocket capital gains, and the chicken come home to roost with a cycle of disruption and labor cost increases. LLMs are being sold as disruption but it's actually another generation of enterprise tech. Hence the confusion. Vibe coding is just PR. Karpathy knows what he's doing.
by bytesandbits | 2025-04-22 21:32:57+00:00
Most of it is open source. Their VLAs are based upon Gemma models + vision encoders, plus their own action experts. You can download and play around or fine tune their Pi0 VLAs from their servers directly (JAX format) or from Huggingface LeRobot safetensors port. They also have notebooks and code in their repo to get started with fine-tuning. Inference runs in a single 4090 RTX streamed over WiFi to the robot.
by grunder_advice | 2025-04-22 21:32:57+00:00
I am already acquainted with them but to be honest, I am no longer in the field so I am not able to comment on latest developments. However, as of two years ago, the consistent result was that you could get models that reproduce really good physics for problems in the same physical regimes as the training data, but such models had poor generalizability, so depending on the use case, they weren't of much use. The only exception I know is FourCastNet, which is a weather model FNO from NVIDIA.
by Borg3 | 2025-04-22 21:33:01+00:00
Oh noes my friend.. Its not about negative energy, but background (void) temperature. The pair of particles (matter / anti-matter) spawn, cooling down the vacoom. Once they anihilate again, they change to energy (various photon emisions) increasing background temperature again. Thats why empty space is not at 0 kelvin. Every time such particle is absorbed by blackhole, it just increases it energy (and possibily mass). Not sure where that evaporation comes from ;)
by lioeters | 2025-04-22 21:33:27+00:00
I had a similar early learning experience. Grew up on BASIC, LOGO, a bit of 8086 assembly, Turbo Pascal, C.

Pretty sure these first few languages affected or shaped my childhood mental development somehow, for better or worse, and how I think about and express programs. Especially with BASIC, I was so young I was still learning how to think and talk in a human language, along with how to think with and talk to a computer.
by SR2Z | 2025-04-22 21:33:39+00:00
For the half of the country that's always hated Trump to forget, Trumpism has to go EXTINCT. Like, discredited the way that fascism was after WWII or segregation after the Civil Rights movement.

God willing, when Trump finally officially plunges the US into recession, he and his supporters will become pariahs, but my faith in my fellow citizens is so low that I'm not even sure they'd notice.

I don't think that there is much room for forgiveness in a country where 48% of folks are STILL in support of Trump. The one thing I am certain of is that democracy will not die in the US without a fight.
by thot_experiment | 2025-04-22 21:33:51+00:00
I'd love to have something like this but calling a cloud is a no-go for me. I have a half baked tool that a friend of mine and I applied to the Mozilla Builders Grant with (didn't get in), it's janky and I don't have time to work on it right now but it does the thing. I also find myself using OpenWebUI's context RAG stuff sometimes but I'd really like to have a way to dump all of my private documents into a DB and have search/RAG work against them locally, preferably in a way that's agnostic of the LLM backend.

Does such a project exist?
by jonathanlydall | 2025-04-22 21:34:10+00:00
I’m 43 and disagree.

Streaming TV shows means I can watch them at a convenient time for me, pausing at leisure, not having to waste time on adverts. In practice this means my wife and I can work through series 45 minutes a night, perhaps only one or two nights a week at whatever time it happens to be after kids are down.

Smartphones can be used in unhealthy ways for sure, but they are almost unreal when you consider how things have changed in the last few decades (looking at my own time):

90s: Shared house lines were the norm, long distance calls expensive-ish, international definitely.

Early 2000s: Personal cellphones pretty common.

Mid 2000s: Home VoIP becoming accessible through Skype, but not mainstream, generally requires a full PC, inconvenient, either for computer enthusiasts or family wanting to do free overseas calls. You would have to hope or arrange other person to be online with Skype at the same time.

Late 2000s: Smartphones are a thing, voip from your pocket is finally accessible, not everyone has smartphones yet, but you can use Skype credit to call anyone in the world at a reasonable cost.

Mid 2010s: smartphones are pretty much ubiquitous, FaceTime (and later equivalent on WhatsApp) mean that you can now talk to almost anyone with very high quality video anywhere in the world basically for free.

What does this mean for me? I regularly FaceTime my parents completely casually with my young children, sometimes just before sleep or in the afternoon or whenever, no ceremony or hassle.

My wife’s sister moved to New Zealand (we live in South Africa) 7 years ago and they FaceTime more than once a week on average with nieces and nephews.

I lived in Europe from 2006 to 2012, and I wish I had in 2006 what I have now in smartphones, maps for most everywhere always available), translation tools always available.

Having experienced the advent of cellphones in my lifetime, they are almost unbelievable to someone who grew up with the full sized PCs which were a lot less capable than a device which now fits in my hand.
by ryandrake | 2025-04-22 21:34:24+00:00
How does the saying go? If you want to kill someone and get away with it, hit them with your car. Negligence and belligerence behind the wheel are both treated with kid gloves and people are out driving afterwards like nothing ever happened. Knowing such a high percentage of incompetents, assholes, and lunatics are out there driving along with me is chilling.
by ac29 | 2025-04-22 21:35:01+00:00
Turley, a witness for the government, testified earlier in the day that Google shot down a bid by OpenAI to use its search technology within ChatGPT. OpenAI had reached out to Google after experiencing issues with its own search provider, Turley said, without naming the provider. ChatGPT uses technology from Microsoft's search engine, Bing.

"We believe having multiple partners, and in particular Google's API, would enable us to provide a better product to users," OpenAI told Google, according to an email shown at trial.

OpenAI first reached out in July, and Google declined the request in August, saying it would involve too many competitors, according to the email.

"We have no partnership with Google today," Turley said.

The DOJ's proposal to make Google share search data with competitors as one means of restoring competition would help accelerate efforts to improve ChatGPT, Turley said.
by fads_go | 2025-04-22 21:35:21+00:00
"most people mean"

implies most people since the King James version was published. Not at all clear that's what author meant; the concept of the world as we now know it didn't exist then.

So very reasonable to conclude that the Great Flood in Genesis was meant to describe a regional megaflood, which innundated the "whole world" meaning all of Mesopotamian civilization.

And there is archeological evidence of ancient cities totally buried in mud, i.e. as you say regional megafloods.
by stevenAthompson | 2025-04-22 21:35:28+00:00
I think you're being sarcastic, but you've missed the point.

The point, restated, is this: When we pass laws that say "There are factually true things that you are not allowed to know under penalty of law" we had better be damn sure the tradeoff is worth it. Sometimes it will be, sometimes it won't. The exact line will always be ill-defined.
by jb7 | 2025-04-22 21:35:53+00:00
The article mentions "... injury or death of thousands of whales each year". I trawled through a lot of the source articles referenced, and I can't find any sources for this data, except for an estimate from a Conservation Biologist based on extrapolation from regional studies.

I appreciate this can be hard to measure, and don't doubt there are some number of whale deaths caused by vessel collisions each year... Just feels a bit wild that a number of this magnitude is being used without much numerical evidence.

Cool product though - perhaps it could help with getting more accurate numbers
by observationist | 2025-04-22 21:35:54+00:00
VCs mandate that every possible avenue of rent seeking be exploited in order to maximize the amount and frequency of transactions. You're not getting hardware funded; the VC will steal your idea and pawn it off on some other party capable of exploiting the potential for your product as a service. Because if you don't, someone else will, and they'll have more money to outcompete your product, because enshittification is how FAANG got to be trillion dollar companies.

A person existing is sufficient to make these people assume they are entitled to something for it.
by neaden | 2025-04-22 21:36:04+00:00
I mean, none of the things you've really said feel like coincidences to me since you're basically saying the dragon is a metaphor. And there are plenty of other stories that are found over a large area and have a lot of different versions since that's what happens with oral stories.

On the other hand we know people today make up fantasy stories all the time, so thinking that people in the past must have been just what, encoding their history in elaborate metaphor?
by chw9e | 2025-04-22 21:36:15+00:00
How good were LLMs at building code that uses LLMs? This used to be a pain in previous versions because the LLM didn't have any LLM-using code in its training data. And what was the rough breakdown of LLM usage in coding? (looking for something like 20% claude code, 30% gemini 2.5, the rest manual)
by w10-1 | 2025-04-22 21:36:23+00:00
The architecture sounds very, very promising. Normalizing entities and relations to put in a graph for RAG sounds great. (I'm still a bit unclear on ingesting or updating existing graphs.)

Curious about suitability of this for PDF's as conference presentation slides vs academic papers. Is this sensitive or tunable to such distinctions?

Looking for tests/validation; are they all in the evaluation folder? A Pharma example would be great.

Thank you for documenting the telemetry. I appreciate the ee commercialization dance :)
by namaria | 2025-04-22 21:36:48+00:00
AirBnB externality is not the safety risk for guests (although I personally ended up in some sketchy situations years ago, I don't use it anymore, mainly because:) the real externality is imposed on the inhabitants of popular tourist destinations.

There was a reason the industry was regulated, and circumventing these reasons with an app has been a net negative to society.
by gwern | 2025-04-22 21:36:50+00:00
If you mean https://i0.wp.com/technologizer.com/home/wp-content/uploads/... It's definitely a weird image. The hands are oddly accurate, and the geometry in the background is also unusually straight and correct for a low-end corporate 2024 Bing DALL-E or Stable Diffusion slop image. And in the bottom image, the food is way too sharp, and the sci-fi text UI is also way too accurate.

So I am suspicious something else is going on to produce the overall uncanny effect of wrongness: possibly they used Photoshop to paste on a bunch of unrelated images to some low-quality stock-art backgrounds?
by bsder | 2025-04-22 21:37:04+00:00
Pick a metric. Fourier is probably better in general.

With respect to machine learning, probably the fact that Fourier is bounded and gives coherent (if completely random) results even very far from the interval of interest.

However, this is like saying that an O(n log n) algorithm is better than O(n^2). Sure, it's true in the limit, by the constant terms can be quite large and O(n^2) can remain better up to remarkably useful values of n.

As I pointed out, the advantage that polynomial basis generally has is that you can be accurate enough with lower powers that are much, much faster to calculate (we use matrices of linear equations precisely for that reason). Or, you can match a particular process because you know specifically that it follows some particular function (we know that road damage follows the fourth power of load--it would be counterproductive to model that with Fourier).

Using high powers for polynomial basis is almost always worse than any other choice.