skysight-inc/HackerNews huggingface dataset:
I can unpack this a little. Here's my issue with the way the initial post was stated, and that "7 to 8 months," which I can't even. It's not the pro-wind sentiment that I'm taking issue with!

There are at least four major variables here, #1 the cost of the turbine and its installation (and maintenance), #2 the cost of financing, #3 the market value of the electricity that's being generated, and #4 the amount of electricity generated as a factor of how much wind the turbine will encounter.

#1 is where we can all be happy - turbines are getting bigger and cheaper. #2, well, you'll have noticed that interest rates can do some wacky things, and so the amount you'll spend financing your turbines might also vary quite a bit. #3 is an interesting one - we'd really like to build more and more clean energy sources, pushing the cost of electricity to the consumer down, but any given turbine is going to take longer to pay for itself if, after its construction, the cost of electricity continues to drop. Conversely it will pay for itself quicker if prices take off for some reason.

Regarding #4 - I guess it hurts people's feelings to think that turbines might be put in a suboptimal place because of politics, but putting that aside, we'd like to eventually put turbines in as many places as practical, and the difference between how productive a turbine on a mountain ridge or on the high plains might possibly be and a turbine in an urban environment might be is really high. I live near a 2.5MW Kenersys turbine that a company put on its urban campus, largely as a publicity stunt. It's glorious, but it's definitely not spinning as often as you'd like, or as much as it would in a better location.

Using some napkin math that doesn't really bear sharing, I believe it will pay for itself (pay for itself in terms of money spent and return on investment via electricity generated - not something hand-wavey and poorly specified involving carbon) well into the second half of its lifetime. That actually seems fine, it beats their getting all that electricity via the local coal plants, but maybe it speaks to the issue with these hand-wavey numbers: it would have paid for itself much, much faster in a better location. That's okay - as long as the turbine pays for itself over its lifetime, it's all good.
Having switched from LSF to slurm, I have to appreciate that the ecosystem is so bash-centric. Lots of re-use in the conversion. If I’d had to learn some kind of slurm-markup-language or slurmScript or find buttons in some SlurmWizard, it would have been a nightmare.
Past discussion related to this RFC: https://news.ycombinator.com/item?id=38694004
Don’t speed and efficiency make up the entire set of practical uses for digital computing? I don’t know what it means to say “No there are no practical uses other than speed”. That sounds like the answer summary is “Yes”. ;)

> There’s no concept of “calling a function either”

This is true for the THAT machine in the article, but your comment seems to be making a lot of assumptions about analog that aren’t necessarily true. Digital computing is an abstraction over analog circuits, and it can be done at a higher level than, say, CMOS logic gates. We definitely do know how to build analog computers that have function calls.
subscribe, download the archives, and then cancel
that makes sense. you're shadowbanned by the way, I had to vouch for your comment.
'Specialized predator' species of Colorado faced near-extinction twice
ScummVM explicitly denies being any kind of emulator.

It doesn't run the original source code of the games. Rather, it's a complete rewrite of the game that uses the original assets (images, sounds, internal scripts, etc.)
You won't get what you want with those sorts of deals.

OK, say every artist gets $100, one time (exact amount varies but would not be much). Everything's properly licensed according to you and the artists are essentially no better off, and the models are now good enough to create new training data for the future and artists never see any more money.

You've won, I guess?
Question: That is a point that would protect GPT models in the abstract, but that doesn't hold for OpenAI and Microsoft that provide "Image generation as a service"? The actual implementation is irrelevant, if must not be able to provide images that are infringing copyrights? (Just like a designer in an agency cannot use Mario for a print).

So using a model running on my laptop to generate a "Mario like" image would be fine, but it would make monetizing this difficult?
check out openbmc project and DTMF association
Copyright has never been based on a moral stance. It has always been determined by the lobbying power of various groups.

The idea that we should dispense with it to let generative AI companies make even more money seems totally bizarre.
Spent ages awhile back delving deep into sorting audio tools into a multi-dimensional framework, convinced that deciphering their taxonomy would unleash their full potential. It's frustrating how there are no comprehensive directories for these tools (Linux or not for that matter)

I applaud your initiative and suggest you give more thought to categorization.
No wonder, Tesla is a legacy automaker with no secret sauce nor moat.
https://en.wikipedia.org/wiki/Fermented_bean_curd

It doesn't "melt" in the sense that it softens and becomes stringy when heated (eg. Mozzarella), but you can "dissolve" this kind of tofu in water, or at least you can make it a sauce-like consistency by adding water.

It has vaguely cheese-like flavor, more akin to the softer, ripened cheeses or the blue cheeses, but not so much the harder cheeses like cheddar.

Should be widely available, try it some time. Usually it's not directly eaten, but more of a condiment or for adding flavor to a dish in a similar way as soy sauce.
The Free Software Foundation.

Bash is part of the GNU project. As a consequence, I believe contributors assign their copyright to the FSF. I downloaded a random release of bash 3 (3.0.16) and opened a random C file from it and it is indeed "Copyright (C) 1993-2004 Free Software Foundation, Inc."

I appreciate that individual developers might not have the time & energy to engage in a lawsuit against Apple, but the FSF is bigger, and has all the incentive to be firm with the terms of the GPL licenses for the licenses to look strong. Developers can also certainly request help from the Software Freedom Conservancy [1] or the Software Freedom Law Center [2] (which has helped BusyBox win several lawsuits) for this kind of stuff. Apparently the SFLC has helped the FSF in the past, against Cisco, if I'm to believe [2].

[1] https://sfconservancy.org/

[2] https://en.wikipedia.org/wiki/Software_Freedom_Law_Center
To my knowledge all VST plugins can be used on Linux (via Wine). Is that not the case? Here is a page that describes the process of using a single Wine instance to wrap all VSTs in the system: https://z-uo.medium.com/vst-and-vst3-on-linux-mint-20-with-l...

There could possibly be a clearer name for this effort, since both Reaper and Bitwig run on Linux natively and are top notch DAWs (actual DAWs, not VST plugins). Plus VCV Rack, which is not technically a DAW but close.

Linux native VST plugins is a way more precise description. DAW is a very specific software category. It's like calling Prettier extension for VSCode an IDE.

Edit: seems like both linuxvst.com and linuxvst.org are available.
https://archive.ph/Okks7
This is a little confusing. You turned the text into indices? So numbers? Then compressed that? Or the text as numbers without any extra compression is only 1kb?

The tokenizer the models use,(sentence piece) is more or less based on one way to do compression.(bpe). It's not really clear what your testing.
Tesla Model 3 vs. BYD Seal [video]
That is only a level 2 autonomous driving system, with capabilities on par with many other stock manufacturer driver assistance system. Having an open source alternative is coolsl, but it doesn't really bear on the argument I think is being made.

I think the argument is that we won't see the same availability beyond level 3, since level 4 is the first step where a human is not required behind the wheel. This means you probably need subscription to have a remote human who can step in and take control in edge cases, at least until we develop AGI. Even then, I suspect the economics of running a full AGI from each vehicles will make a subscription mandatory.
> Added sugar doesn't have as many nutrients

Most overweight people (the audience of a calorie counting app) don't need more nutrients, they need less calories. Besides, fruit is a really poor source of vitamins/minerals in general, so this is a weak ground to stand on.

> [added sugar is] absorbed by the body much more quickly.

You're using circular logic.
TL;DR: In climatology, I know people are using zarr. However, I think columnar storage as in parquet also merits consideration.

My thinking goes as follows: I'm trying to read chunks from n-dimensional data with a minimum of skips/random reads. For user-facing analytics and drilling down into the data, these chunks tend to be relatively few, and I'd like to have them close to one another. For high-level statistics however, I only care that the data for each chunk of work be contiguous, since I'm going to read all chunks eventually anyways.

You can reach these goals with a partitioning strategy either in HDF or zarr or parquet, but you could also reach it with blob fields in a more traditional DB, be it relational or document based or whatever. Since any storage and memory is linear, I don't care whether a row-major or column-major array is populated from a 1d vector from columnar storage with dimensionality metadata or an explicitly array based storage format; I just trust that a table with good columnar compression doesn't waste too much storage on what is implicit in (dense) array storage.

Often, I've found that even climatological data _as it pertains to a specific analytic scenario_ is actually a sparse subset of an originally dense nd-array, e.g. only looking at data over land. This has led me to advocate for more tabular approaches, but this is very domain specific.
Interview with Viktor Löfgren from Marginalia.nu [video]
NY times is asking that all LLMs trained on Times data be destroyed
This is an interesting idea but would need deeper adjustements on what the user is paying for.

For instance Netflix charges you for the next month you'll be using it. So at the time of charge, it has no idea if you'll use the service within the month or not, thus only the "cancel" part could happen. Moving to a post-usage payment can be done, but it becomes weird when the payment doesn't go through and quickly transforms into an open door for fraudulent activity.

Auto-canceling could be the best option, yet it would be an issue if the user actually expected to use the service the next month. They can still resubscribe again before using it again, but that's an extra step and also means the billing date gets reset, which might not desired by the user depending on how they manage their budget.

Basically, it's looks like a simple enough idea but the devil's in the details and it requires a decent amount of work to come out with something both the service and the user can easily understand and manage efficiently.
Things are about to get a lot worse for generative AI in the United States

They are about to be infinitely better for generative AI in China.
How to Make Room for One Million New Yorkers
Gift link: https://www.nytimes.com/interactive/2023/12/30/opinion/new-y...
On an iPhone 14 Pro your nav bar covers the content btw https://i.imgur.com/8OZTys7.png
> In Vim / Helix you do that with :cq

Never heard of that before. I generally use :q! or ZQ

Is there a difference ?
It's mind blowing the number of quality, often even FOSS, Linux audio software that is appearing these days, I can't wait to try some of these on my latest music laptop installation, which is confined to my own rehearsal room and works only as a plugin host. Unfortunately I had to use Reaper (plus yabridge for Windows plugins compatibility, which works great) as a host because Carla requires Jack which defaults to non usable state at every installation and is a nightmare to set up in a reproducible way, moreover saving in Carla is broken so after an an hour of careful plugins setup one loses everything upon closing. Right now we probably need more a much simpler plugin host that does just that and just works rather than new plugins.

About Jack, let me repeat this one more time Jack is not necessary at all to obtain low latency, ALSA is more than enough; if you're writing audio software, having Jack support is nice, but please don't depend on it as it just complicates things.
Where do you see the regexes?
Thanks for the link! Impressive work indeed. Relevant snippets

> but had no idea as to how the image was compressed. It clearly wasn't compressed with any common compression algorithm. Mercifully unlike the MIPS firmware, it had at least a few strings, which is how I was able to tell it was compressed; a hex dump showed chunks of human-readable text with garbage interrupting them.

> A hunch. After extensive amounts of time trying and failing to eyeball the compression algorithm from hexdumps of compressed code, and trying any decompression algorithm I could think of against it,

But they eventually could break through by reverse engineering the decompression code.

> Once I finally had a concise, sane description of the decompression algorithm in C, the algorithm turned out to be hilariously simple. I was also then able to figure out the origins of the compression algorithm; it's called LZSS
Why do you want to convince them? Is it because you pay for it?

If they use the services regularly then you’re fighting a losing battle.
BYD has a much lower price point, which helps drive ownership.

Tesla has kept the price in the luxury car range in order to maintain it's brand.

Outside the SV/HN bubble, the Tesla is viewed as a luxury car

Addendum:

Luxury doesn't imply expensive. It's a branding strategy.

A Gucci bag or iPhone can be purchased with relatively minimal capital outlay, but will continue to hold a social cachet by being marketed as "exclusive" [0]

Just read the case study below to understand the strategy used. Turns out MBAs ain't as useless as HNers like to think

[0] - https://hbsp.harvard.edu/product/SMU954-PDF-ENG?Ntt=Gucci%3A...
Sure. You can think of a modular synthesizer as a domain-specific analog computer for audio signals.
I have switched to using xargs to parallelize things: it has a benefit of being part of posix, and is not annoying about citations like parallel.
I agree that regular, run-of-the-mill tickets wouldn’t motivate driverless car companies. But I disagree that there shouldn’t be any penalty for a company whose fleet does not exceed some threshold of red-light-running, for example. If a vehicle unjustifiably runs a red light, there should be a penalty, regardless of how it’s being driven. The penalties could differ for driverless car companies, to make sure they’re big enough to meaningfully motivate these companies.

Otherwise it feels patently unfair to human drivers, who can’t say “well, my family hasn’t broken many traffic laws recently, so I shouldn’t have to pay a ticket for just running this one red light/almost hitting this one pedestrian.
Ok, so is it ok if I run the whole thing on my own hardware, and never distribute?

If not, how does that differ from me making an unauthorized pencil drawing of Mario?
You’re probably more conscious and organized than the majority of people.
The "reasonable" singular removal is more about coming up with ways to block prompts that can produce infringing content, and having filters on the other end to catch infringements before they are published to the user. It's an endless whack-a-mole that never actually addresses the problem but might look good enough to the legal system or to keen supporters.

Barring some major breakthrough, the actual answer is to train a new model without the infringing data.

I think some of the people saying "remove it from your model" are aware of this and are simply being glib and needling; "you've created this infringement monstrosity, so surely you made sure to include a way to deal with this problem without throwing away all of your work, right?"
LOL! You know, I think I'm going to use this the next time someone disputes biblical cosmology.
This is a tangent, but I would bet that your AT&T service also covers Mexico without the $10/day fee. My wife's does, as does my Verizon. Note: AT&T didn't have a partner in Morocco on the $10/day plan when I was there in 2019, but VZW did. Do check which countries are covered.
I really wish there were affordable (sub $35k BEFORE rebate) EVs in the US.

The lack of affordable daily driver EVs is what's slowing down adoption here in the US.

Hell, even in Vietnam and India there are fleets of low cost EVs now.

Addendum:

an EV costs as much as a the median salary in the US in 2023 [0] ($50,000 is the Median wage, and the average transaction price for an EV is $53,000 [1])

[0] - https://www.bls.gov/cps/cpsaat39.htm

[1] - https://www.kbb.com/car-advice/how-much-electric-car-cost/
I mostly included syetemd due to the shiny new feature where you can enable kernel samepage merging for arbitrary applications. Could be very useful for certain use cases.
Printing. Printing is done in the CMYK color space. Cyan, Magenta, Yellow, blacK. When you print in color, it is basically four different printers printing onto the same piece of paper. Ideally everything is all lined up correctly, but if you want to do it on an industrial scale, good alignment costs time and money. Big printed color color posters tend to have shitty alignment. A color tag needs to have good alignment; if the cyan, magenta, yellow print runs are misaligned, chances are a color tag won't be able to read it. But the black run is always aligned to the black run. So it will always work.

Lighting. The Sun, incandescent, and halogen lights have pretty good color reproduction. But LED lights and fluorescent lights do not. LED lights and fluorescent lights are designed to look acceptable to human eyes. And they can be reasonably good at it. But cameras are not human eyes; color gets all fucky when you look at it through a camera.

Cameras. The tag you linked to uses the LAB color space; one channel is brightness, one channel is blue vs yellow, one channel is red vs green. Cameras almost always have BGGR arrays; on a 4 megapixel camera, you will have 1 million blue pixels, 2 million green pixels, and 1 million red pixels. So if you use a normal camera to read a tag in the LAB space, you have 4 million pixels reading the brightness channel, 3 million pixels reading the red-green channel, and 1 million pixels reading the blue-yellow channel.
See https://eksisozluk111-com.translate.goog/entry/160083075?_x_...
I appreciate the README etc, it's very funny and cute.

As a bit of a layperson / just an AI integrator, I want to get some clarification of how this interfaces with a generative AI. I haven't dug too deep in and I have a mostly elementary understanding of neural nets. No need to _entirely_ dumb it down though, just needing a smarter person to confirm or correct my understanding. :)

Is this influencing the probabilities of token output? My understanding is that currently it is a static value that is essentially "how wild do you want it to be" where each generation has a different consistent static value of "wildness".

So rather than using a static value for an entire generation, this dynamically injects randomness in so rather than the output being 'monotone', it is more dynamic rather than by-the-book that AI tends to be?
>But what do you do if the child needs to refer to the parent, or the parent needs to know its children.

In the namespacing example, it's trivial: the parent is the version of the name of the current node with one "namespace" less. E.g. /bar/boop/bleep's parent is /var/boop.

Similarly, the children of /bar are any nodes starting with "/bar/".
It's a great model for any younger, relatively unknown provider for this reason. Although, the $9/mo Netflix subscription (I can't remember the actual price point, but it worked out if you watched more than 2 movies in a month) totally beat the pants off the Blockerbuster late fees / missing title fees on a $1/film/day pay-as-you-go model, from a consumer standpoint.
I spent part of yesterday looking over Winnie's projects and was amazed. I continue to be blown away at the productivity of MIT students and their ability to make fun things (I'm thinking of the various high power LED projects, as I work with high power LEDss). I especially enjoyed reading about designing, simulating, and manufacturing a single-layer Aluminum PCB which acted as the substrate for the LEDs, but was impossibly hard to solder because it was a huge heat sink! And the solution to pre-heat the board with a board heater worked.

Please continue to post the projects, especially the git repos with the actual designs, as well as the reports.
> I can only imagine that they make this process so
// difficult because they are intensely ashamed of having created this abomination.

They also don't want anybody building a dependency on that sh*t, which would prevent them from ever cleaning up the mess.
I find your lack of faith disturbing. Humans can totally figure out how to fight a ground war version of WWIII if they really want to.

For perusal in the many ways humans have found to deploy nukes other than ICBMs. Note: SAMs, Artillery, RPGs, Mines, and Torpedoes. [1] Yields stretching from 0.02 KT at 50 kg [2] weight to 50,000 KT at 27,000 kg. [3][4] Sure, the high end stuff is world ending, yet the low end stuff is war enabling. And there's enough ways to knock missiles out of the air. Wargames computers are still calculating.

Note the propensity of the wealthy to build bunker houses. Feel like they know something I don't know.

[1] https://en.wikipedia.org/wiki/List_of_nuclear_weapons

[2] https://en.wikipedia.org/wiki/Davy_Crockett_(nuclear_device)

[3] https://en.wikipedia.org/wiki/Tsar_Bomba

[4] https://en.wikipedia.org/wiki/Nuclear_weapon_yield
Mentioned in another comment. DAW is an IDE for music production. Calling Prettier extension for VSCode an IDE would be incorrect.
Isn’t this the GamerGate guy?
The NYTimes case is a clear one because they are delivering nearly the same content as an end product to users.
The others seem like dead ends. The infringer would be the prompter, not the AI which operates more like a search engine. This is Napster all over again, what a phenomenal waste of time and money, where the artist will definitely come out with 0 at the end of it and a few corporations control everything - not to mention, there's nothing stopping anyone from releasing a tool that will crawl all spongebobs, generate your model for you and allow you to produce locally copyright infringing material it to your hearts content locally. You could drown yourself in local spongebobs.
Did you even read the entire comment?

It clearly says his body was never recovered, so 'the facts of his disappearance' are not fully known, by definition.

Anyways, there's dozens of examples of presidents, prime ministers, ministers, deputy ministers, party leaders, etc., who've disappeared or died under mysterious circumstances. And that's just post WW2. Which anyone can find via a quick search online.
I hope no self-respecting instructor in ethics could with a straight face teach how an LLM is like a human being when it comes to copyright while glossing over the blinding implication that if it truly were so we would then be subjecting that being to unthinkable abuse.

That hypocritical, self-contradictory take is transparently geared to benefit commercial LLM operators (at the expense of individuals who stand to suffer material harm and/or authored the very creative works thanks to which the tool even exists).
Hehe snowflakes should prove a patent challenge worthy of Myrvhold.