skysight-inc/HackerNews huggingface dataset:
I think the workers of those companies and consumers who buy their products would likely be better off if Musk's behavior wasn't a liability dragging it down.

It seems like the market will remove him from power soon, but the state could probably do it more efficiently.
I can't stand Notion but love Coda. Pivoted my team to using it and they seem to love it as well.
Checkout the latest docs https://mlc.ai/mlc-llm/docs/ MLC started with demos and it evolved lately, with API integrations, documentations into an inference solution that everyone can reuse for universal deployments
We need to start ingesting raw scientific data through these models and see what it comes up with. What could these models identify by parsing through raw JWST or Hubble data? Or training against every published scientific paper? Is anyone doing this sort of thing already?
Plus, when Beta made alterations to fit more on a tape (extended play modes to use the VHS term), the quality dropped to close to VHS levels, so the advantage was gone.

Even then, VHS could do the same thing, drop quality more, and fit EVEN MORE on a tape.

It seems pretty clear to me, ignoring licensing which was a huge issue, that beta was designed for recording TV shows while VHS also had movies in mind.
> Reducing Plato to Pythagorus is missing quite a bit.

The Pythagoreans would say just the opposite: That Plato took Pythagorean notions of a mathematical universe and twisted them out of bounds.

Plato's notion of the abstract "intelligible world" or "world of forms" is especially a violation. Consider the writings of the Neopythagorean Plotinus, in a treatise titled "On the Question of Whether There are Ideas of Individuals":

"If, though, the soul of each contains the expressed principles of all those it will successively enter, then, again, all will be in the intelligible world. And we do say that such expressed principles as the cosmos contains, each soul also contains. If, then, the cosmos contains the expressed principles not only of human beings but also of individual animals, so, too, does the soul. There will be, then, an unlimited number of expressed principles, unless the cosmos is recycled periodically, in which case the unlimitedness will reach a limit when the identical things recur."

Here Plotinus quite correctly notes that eventually all things will wind up in the abstract intelligible world, each with their own form, until they recur. For there can be no unlimited number of expressed principles, the number of combinations of matter in space and time being finite, and in the end everything is its own irreducible form of ideal.

In not understanding this, Plato arguably didn't understand Pythagoras at all.

And of course Pythagorean sayings like "all is number," "things are the same again in number," etc. suggest an entirely classical understanding of a mathematical universe hypothesis. What's more, the Pythagorean abhorrence of irrational numbers hints at the distinction that Tegmark and others later draw: That they had two classes of mathematics -- a "realist" mathematics, and an "irrational" mathematics.

> (It's Nietzsche who points out that the "eternal return of the same" is the only basis for an individual ethics that doesn't resort to a greater surrounding context.)

The Eternal Return is another Ancient/Pythagorean concept that has been hotly debated over the past 2600 years. Short of popularizing the concept, Nietzsche has not contributed much to the debate, and his words on the topic are far from definitive.
"C-Store: A Column-oriented DBMS": https://web.stanford.edu/class/cs345d-01/rl/cstore.pdf

By among others, the great Mike Stonebraker.
I have a really hard time with the game theory around this.

Every time I run the numbers, I arrive at: I would much rather be in a situation where I can place blame at the feet of one party, especially if they are under some contract to provide a certain level of service. There are things that I absolutely cannot control and I'd rather push as much of this as possible into one bucket.

What I can control is how we actually use the technology relative to the business. If our sole vendor doubles the price on a certain service, then we will explore alternative services (within the same vendor) or ways to use that service less (maybe we send emails instead).

I know the vendor is going to try to turn the economic screws. That I can work with. Business as usual. What I don't enjoy are those "unknown unknowns".
Not always true - there are lots of hardware vendors that do have pretty decent support and automatically call home and a part is same day shipped.

That being said usually I am the one replacing that part on my own infrastructure which is usually a 30 minute drive an hour to maybe 3 of my time
I agree. It’s been 16 years. Clearly failed like Beta.
I appreciate your optimism. A lot of people point out that education hasn't changed meaningfully in hundreds of years. Professors, long lectures, textbook readings, homework and exams. I am curious if this trend will be the catalyst for a new education systems to topple current status quo.

You're right: the sum total of human knowledge is larger than it has ever been so to reach the boundaries of our understanding requires more learning than ever. Compressing that learning process therefore seems necessary to continue our upward trajectory.

I'm both excited and terrified to see what a "TikTok-ified" engineering curriculum would look like.
Barbie Girl, in the Style of Six Classical Composers
Just imagine what snowboarder does to slow down. Turning the snowboard a bit sideways but leaning in such a way to keep going "straight".
Pretty sure most films made in 1988 were also bad.
How Jeffrey Epstein Captivated Harvard
For me personally it is important that the actors are human. I haven't introspect much about it and what implications this gives. But I do wonder how I would react, if it isn't clearly distinguishable anymore.
> Apple famously doesn't do any of this with your iPhone

I just got a new iPhone and set it up from scratch yesterday... They do this, and it's everywhere.
Share some insights on how to kickstart Hacker News journey
You give up looking at screens in your free time, that's the only real answer. It's sucks, it's hard, and I've had no success at it, but that seems to be the key.
You could probably say the same things about Henry Ford. I heard he didn't do any of the hard work either...
You should look at Matthew Sweet's responses to that book, it's not pretty: https://twitter.com/DrMatthewSweet/status/147912591249084826...

It's also worth noting that Johann Hari has an extensive history as a liar.
Not only do people do this, it's generally how VPS providers work. Most machines barely use the CPU most of the time (web servers etc.) so reserving a full CPU core for a VPS is horribly inefficient. It doesn't matter anyway, because SMT isn't relevant for this particular bug.

With SMT allowing twice the cores on a CPU for most workloads, disabling it would double the cost for most providers!

There are VPS providers that will let you rent dedicated CPU cores, but they often cost 4-5x more than a normal virtual CPU. Overprovisioning is how virtual servers are available for cheap!
The sad part of that is people continuing to learn the wrong lesson. The real issue with the orbiter was not the specific unit systems, it was assuming a contractor followed specifications perfectly, not testing properly before launching it into space where it can't be fixed, and then ignoring the people who noticed the issue until it's too late to try anything because they didn't fill out the correct paperwork. Using MKS and CGS together could cause the exact same issue entirely in metric.
I definitely favor using CC, and paying off if only for the 2-5% "cash back" program(s). If I pay cash, I'm effectively paying extra, same for debit. It kind of sucks, and definitely should be better managed. Also, if you let the debt accumulate on a CC (very easy to do), then the interest definitely comes out to more than the rewards in that case.
(None of the below is meant to diminish the work done by the author/poster.)

> This means that when companies aggregate production data into their data warehouse, the underlying data is always stale.

This is intentional and desirable.

The classic piece on this is this one by Dan McKinley https://mcfunley.com/whom-the-gods-would-destroy-they-first-...

Something McKinley doesn't address is that it's quite advantageous if the values in your data warehouse don't change intra-day because this lets business users reach consensus. Whereas if Bob runs a report and gets $X, and Alice runs the same report 5 minutes later and gets $Y, that creates confusion (much more than you would expect). I recall a particular system I built that refreshed every 6 hours (limited by upstream), that eventually Marketing asked me to dial back to every 24 hours because they couldn't stand things changing in the middle of the day.

Now of course I see you're targeting more real-time use cases like fraud detection. That's great! But why you would run a fraud detection process out of your data warehouse, which likely doesn't even have a production-grade uptime SLA? Run it out of your production database, that's what it's for!
We still don’t know whether or not there is an official side loading story (ala Mac) or if it’s locked down (ala iOS, though I think that’s odds favorite).
Execs are typically spending their day mostly doing face to face things. Developers can have a lot of pixels in front of them very cheaply these days. I fail to see ROI in these use cases either. Being "more productive" usually doesn't quantify very well if it is all just a feeling.
I didn't expect it to as it's Zen3, but still tried: doesn't repro on my 5950X.
Who should have written git and fossil?

Both were written by people who had problems to solve. Should they have waited around for someone to solve their problems?
TSLA was crazy overvalued, does no one remember that? The reason the ARK funds and Cathie Woods is famous is basically cuz she bet the farm on TSLA.

The stock was absurd -- cars with QA issues and lots of recalls outperforming stocks like Ford or Toyota, companies with decades of making reliable vehicles.

Everyone knew it was overvalued by a long shot, and if Musk sold it would crater. So create a headline grabbing buy that would justify shedding tons of shares, then back out and keep the $$$. When TSLA later has a correction he can just ignore it -- got his money already -- and launch some buybacks on the cheap.

Except he couldn't back out.
Apple had a shot at dethroning DirectX when they helped Khronos write the Vulkan spec. They eventually abandoned it in favor of Metal, but things would look very different if Mac, Linux and Windows all shared the same GPU APIs today. Even without Macs, both Windows and Linux have functional DirectX translators that MacOS could have also enjoyed for the past half-decade.

Part of the problem is dethroning Windows. The other part of the problem is not being so greedy that you make Microsoft look reasonable by comparison.
if he wanted all that, he wouldn't have cratered the app economy around Twitter's API, nobody's going to be build apps like taxi/restaurant booking services off the framework if they can't afford to even get started.
Ask HN: Should employers pay a fine for superfluous work-from-office policies?
A comment on another thread mentionned this idea: "If you are forcing work-from-office but it's not actually required, I think you should be forced to pay for the carbon footprint." [1]

I think it's a reasonnable idea, easy to evaluate, easy to implement and will probably improve carbon footprint and quality of life for everyone.

Why don't we get behind it as a policy goal? Also feel free to mention any idea that you think could be put into law and help with carbon footprint.
A citizen action committee couldget behind it.

[1] https://news.ycombinator.com/item?id=36433214
I think the spirit of the above comment questions whether it's even worth reversing
The security aspect is important to keep in mind, but a more interesting use case for me is tweaking the embedding values and finding token inputs that correspond. That will let me explore the latent space.
Thanks for the reply! We'll be keeping an eye on it
I don't think it matters for the point I was making.
In an interview John Carmack did with Lex Friedman recently, one of the things that Carmack pointed out is that VR games such as Beat Saber were a perfect fit for requiring a controller since it was natural to move and slice through something without significant physical feedback (at least as represented in the game).

However, most VR games that require a controller for VR interactivity with "real world objects" tend to fare less well as they create a cognitive dissonance between the actions the player is taking and their perceived results. Anecdotally, for the few VR demos I've tried I agree.
Do you have an example of such a skill that has been compressed?
You think Apple’s going to have a massive change of heart and let porn onto their App Store?

The question here isn’t whether you think Porn is a unique application of AR/VR, it’s whether Apple would allow it onto their curated App Store.
WestChat
For some reason i parsed this as one line of pure c.
There’s also a history of using ‘X’ as the designation for eXperimental planes, e.g the X-15.

I always assumed that was the inspiration for the use in tech branding like Google X - conjuring up images of skunkworks, etc.
Please excuse the last remnants of the technology debate of “Are Apple products worth the higher price tag of their very capable competitors?” It’s been happening since Apple came into existence with people defending or arguing against Macintosh computers to where it is now with cell phones and the higher cost of entry priced iPhones. The ecosystem Apple created is the great divider. It’s a closed garden in every sense of the word, but still a great garden where if you’re okay with the HOA, you can live right on top of.
That would be painful, perhaps you could argue that patent points were not securities, just record keeping (I mean you could literally derive them from a select on a database of patents held by the company). Investor points would be infrequent so fees there probably not as big a deal. Do you have to buy bonds on the open market in NL? Service points work a lot like having a tab at a bar rather than securities as well.
They are providing the specific revisions:
Lunar Lander, Warlords (Rev D), Black Widow (Rev A), Gravitar (Rev C), and Major Havoc (Rev D).

And their site also states "These boards use the original bill of materials, follow the original schematics, and can be used to replace damaged original boards by using the original parts from these boards."
A very bold claim with zero evidence.
Looks like the headline is more accurate than the organization:

https://eua.org.uk/igemeua-announces-winners-of-gas-industry...

(Also:
https://eua.org.uk/french-heat-pump-costs-blow-hole-in-nonse...

And in general they seem to be centered on the heating network, a.k.a. gas lines, so electric heating pump installers would kind of be scabs in their gas industry coalition.)
An endless runaway replica wave. Poetic.
Yes. Darklang was originally in OCaml using js_of_ocaml, and we ported it to F# using Blazor (https://github.com/darklang/dark/tree/main/backend/src/Wasm). It works.

We found that in dotnet 6, the code was much slower, with long startup times and a much bigger download, than in js_of_ocaml. It also had a lot of issues in running in a Webworker, which wasn't the case for js_of_ocaml.

In dotnet 7, the webworker issues are better and AOT is easier, so startup is faster. Download sizes are still bad, and it's still slower than js_of_ocaml.

However, dotnet allows almost any code to run in WASM, which js_of_ocaml had large limitations. This meant a decent chunk of functionality had to be worked around to make separate js vs native targets, which also was a massive pain and took a long time. Dune's virtual targets wasn't ready at the time - I think we were one of the test cases for it.
Yes, definitely. If he tried to have it published, the lack of experimental results would definitely be a glaring error.

But this is still scientific communication. It's really nice that it's legible!

> Even though softmax1 is facially quite boring, I’m 99.44% sure that it will resolve the outlier feedback loop that’s making quantization the subject of cascades of research. If you want to run some experiments and prove me right, DM me on Twitter and we’ll get a paper going.

I'm guessing that in the stodgy world of science, a communication like this might happen over lunch at a conference, limited to a small clique of researchers who are zealously guarding their next paper. Who could blame them, publish or perish!

But someone will probably test this theory out (after my read, it will probably happen in llama.cpp with preliminary results on GPT-2 by next week) and achieve results, and it will happen quickly and legibly to the outside world, because this was published openly and without all of the pretension that formal science (tm) has. If it works, it works. Stuff like this is the soul of the internet. Sharing knowledge and making it legible for all.
In the context of this conversation, SMT on/off is relevant to what scope of the vulnerability has with VMs beyond the claim in the article that the issue is in some way present inside VMs.
I follow the argument but the proof of the pudding is in the eating. I don’t know what “battles” the author lost to PyTorch lately but a good test would be to modify one of the smaller models (maybe nanogpt) and swap out all of the softmax calls for his quiet softmax.

I didn’t see anything relevant on alternatives to softmax, since TFA is specifically questioning softmax in a multihead attention context.

Ultimately, neural networks are arbitrary function approximators. It doesn’t necessarily have to be “right” internally to fit the data. But if this new softmax allows transformers to learn more, that’s great.
>Seems like the publishers just want a piece of the money because they want a piece of the money.

Sure, but of course, we all know the actual value came from the writers.
Apple has multiple problems here, ones that it can't exactly outpace which is that when they do start making a big deal of gaming they back themselves into a corner. They have to face the problem that VR gaming devices are much cheaper and have similar effect/more studios dedicated to making VR games. They have the other problem that the leading game engine or 3D content in general (Unreal) belongs to a company they would rather see evaporate.

Very interesting times for Apple.
It's impossible to implement a backwards-compatible successor to IP without breaking the principle that every node can address other node.

Old nodes will have no idea how to address "new" ones, and if you want actual communication to happen, then addressability needs to function in both directions.

(You've also glossed over the fact that so much hardware assumed that an IP address was an int32. Swapping that out was always going to take a long time).
So bump a major version and only do security fixes for the old one.
For now, we're super focused on databases as sources. We really want to do this well before we move on to other data sources such as APIs.
Biosignal Sensing Device Using Dynamic Selection of Electrodes [pdf]
"Cup of water" isn't a great example because it would imply then cup was made from water. This makes more sense when you realize "cup of water" is lazy speech for "cup full of water".

"of" usually implies a state of being while "from" implies a transformation.

"JS of Ocaml" implies that the JS is Ocaml, but that's not true as it is transformed. "JS from Ocaml" would be more accurate.
Lot of people in Taiwan are learning COBOL and mainframe programming specifically for this reason. Surprisingly big (or small, depending on how you look at it) popular of young people learning it.
Then again, if you don't have access to giant compute clusters you can't test this, so it's either a blog post or nothing. I believe the outlier problem that this solves only appears for very large models.
The author says to add a unity vector to the context, i presume of each layer, to not mess with gradient calculations. But most modern DL frameworks compute the gradient for you, (i know this is true for JAX and Pytorch). Is it maybe that hand coded gradient for a well-known enough dl architecture like transformer is faster than letting the framework autodiff it?

Otherwise, i fear some of the 'magic' of transformer networks is that this amplification effect allows it to encode/memorize some results verbatim. And we often are seeing a heavily tuned internet regurgitator. So similar to the rise of RNNs with attention, which supposedly allowed them to focus on some things and ignore others but really often was just overfitting stuff, yielded more interesting results with the overfitting than without.
Reminds me of https://www.facebook.com/permalink.php?story_fbid=2146412825...

> Several things over the years made me conclude that, at his core, Steve didn’t think very highly of games, and always wished they weren’t as important to his platforms as they turned out to be. I never took it personally.

> Part of his method, at least with me, was to deride contemporary options and dare me to tell him differently. They might be pragmatic, but couldn’t actually be good. “I have Pixar. We will make something [an API] that is actually good.”
It was often frustrating, because he could talk, with complete confidence, about things he was just plain wrong about, like the price of memory for video cards and the amount of system bandwidth exploitable by the AltiVec extensions.
It's fair to say majority of airline pilots started on gliders. Of course gliding a 767 is no joke.
> We have now almost a century of stagnation around any really new mathematical concepts that would help us push further into "in your face" empirical manifestations, e.g. around complex phenomena.

Could you substantiate this rather outrageous claim with some sources?
> business owners should know not to rely on Twitter's features or community remaining unchanged beyond maybe a couple years.

It’s more like hours or days under Elon. Maybe weeks but certainly not years.
When you say it didn't help, can you clarify what you're measuring? In the context of this post, I think both the performance your task, and the number of outlier weights (and their magnitude) are important.
I immediately think of the immediate and endless marketing spam notifications that are a result of daring to allow an app like Uber to send push notifications at all.
I’d rather not have the new features and keep the price the same. Podcasts have been the worst thing introduced on the platform. The app redesign misses the mark in key ways, and it seems like someone is employed at Spotify solely to change the like and add to playlist buttons every other month.
Meta's Galactica was an attempt to train an LLM predominantly on scientific papers, articles and so on. It failed pretty spectacularly but Galactica 2, if that's ever a things, might rectify that.
I wonder if this is because of Musk's fixation on him owning x.com since he was a young man.

Twitter by itself is a valuable brand, why ditch it for a letter which he embeds in apocalyptical darkness?

And regarding the logo, would it give him OCD if he realized that he could have elongated one side of the stick into the center of the area in order for it to also symbol a line crossing a plane?