skysight-inc/HackerNews huggingface dataset:
I’m a little torn on this, I don’t personally think EV car buyers care that Elon Musk has an incendiary personality. Nobody cares about his insensitive engagement farming on twitter when it comes to their EV car purchase. Even TSLA investors don’t care, culturally conservative (but we know how you party) fund managers in the middle east don’t care, very sensitive Chinese state management doesn’t care, you think American urbanites that are in the market for an EV care just because he’s being edgy? Nobody cares, he’s amusing. His expensive problems are dumb and only benefit the moneyed urbanite, that $40bn purchase of twitter was a $40bn cash infusion to all those shareholders in the bay area. He’s a demented foreigner from a messed up family that we’re all going to take advantage of by enabling him to get high on his own supply, its the American way.

I think the only person he could alienate are some fanboys and fangirls. The people repping merchandise.

I think EV buyers care more about variety in car models to choose from. Tesla has been making the same thing for 12 years and any wow factor is completely gone, replaced by…. everyone else, some which are joining the tesla supercharger network.
The question of whether training is a copyright violation is still an open one.

I think Japan is in the right here. IMO, training an AI is analogous to reading a book. As long as the AI isn’t regurgitating the contents 1:1, it’s not infringement.
Aren't in Japan average selled fiction book is way smaller?
I'm rewriting an embedded BIOS for an Intel processor at work and It's been a bit of a clicking point for me about how modern X86 really works. Nothing EFI or the like, but still very instructive.

Now if only I could get DCI to work...
This is why you should use type hints and some kind of type checking.

sorted_list: list = my_list.sort()

will raise a red flag with a type checker.
You could also include John DeLorean, who was reduced to dealing watches after getting arrested for cocaine trafficking (it was a total setup, DeLorean would never have gotten into it if he hadn't been goaded by the FBI's informant), or Howard Hughes, who went totally insane after a string of massive successes and ended up spending his time rewatching the same movie on repeat and restacking tissue boxes in his penthouse.
Nice to see Barry on HN! Long live blogs!
You've got to wonder what the hapless Amazon employee asked to implement this felt, and how much leeway they had in which book for that to happen to first.
Also likely useful having field deployed Japanese sales engineers capable of breaking legacy Japanese business processes into agentic-like workflows.
Ha! As soon as I saw the article I thought, “I wonder if there’s a RealLifeLore video on this.”
Like I said, you have to put the work in if you're going to use these tools effectively. I write a LOT of tests both with and without the help of LLMs. I try hard never to leave any code path from an LLM (or from code I write myself) untested - always manually and usually through automated tests too.

If you don't do that, the chances LLM-generated code will introduce weird bugs are high. But the chances you yourself (or your coworkers) will introduce weird bugs are high as well - QA, code reviews and testing are important no matter what helped write the code.
Everyone needs to take these benchmark numbers with a big grain of salt. According to what I've read, Phi-2 was much worse than its benchmark numbers suggested. This model follows the same training strategy. Nobody should be assuming these numbers will translate directly into a high ranking on the LMSYS leaderboard, or usefulness in everyday tasks. Let's not dethrone Llama 3 until some real world testing can be done.

That said, I don't think it's impossible for a small model to be very good. I see their "synthetic data" as essentially a way of distilling GPT-4 into smaller models. It would be exciting if a large fraction of the performance of huge models could be transferred to small ones! If true, then Chinchilla-optimal training could make sense again, as you could optimally train a ginormous model and then distill it afterward for efficient inference.
I just assumed the Magic Keyboard had the same water resistance rating as its parent device. Turns out, I was unfortunately right: iPads aren't rated for water resistance, unlike iPhones; TIL.

At least the keyboard was kind enough to take one for the team. I never want to find out Apple's unit cost for those.
The windshield wipers are anannoyingly bad design.

If you want to alter the wiper's setting and if you don't press the little wheel-button just right or a few seconds too late then you change the radio volume or station, depending on exactly how you hit the button.
One of the things you need to learn to do when working with LLMs is to avoid blindly installing packages it suggests.

Just like if someone opens a PR against your project on GitHub you should review the dependencies they are trying to bring in as well.
Agreed, kind of similar to the trope of 'virtual intelligences' vs 'artificial intelligences' in sci-fi, where VIs are a lot more similar to LLM intelligence (imitative, often unable to learn, able to make simple inferences and hold basic conversation but lacking that instantly recognizable 'spark' of an intelligent being that we can see in humans - especially kids - and some other animals) rather than AIs, which are 'true' intelligences comparing to or exceeding humans in every way.
> this one feels like it was so obvious to see coming by bringing together data from very disparate sources and nailed the eventual outcome

Don't give yourself too much credit. You didn't really need the "very disparate data sources" to see which way the trend was going to go. Of course EV buyers were interested in climate change, and those people heavily intersect with the liberals that Musk has seemed determined to alienate alienate since at least a couple years before the Twitter purchase. Anyone could see this coming from miles away. The only question was when and how much. Right? Did we not all see this coming?
I tore my hair out developing a SwiftUI app that could run llama.cpp and whisper.cpp simultaneously. Was able to run a Q3_K Mistral 7B along with a smaller whisper model eventually, but grinding through XCode is a nightmare.

They're working on MLX but it only recently got swift bindings. They just don't have the DEVELOPERS DEVELOPERS DEVELOPERS coked out attitude i guess
This shows the power of synthetic content - 3.3 trillion tokens! This approach can make a model even smaller and more efficient than organic text training, and it will not be able to regurgitate NYT articles because it hasn't seen any of them. This is how copyright infringement claims can be placated.
You would have to be able to overwrite a syscall in userspace (which would be a massive security hole) or have some kinda kernel driver (but you said disk encryption doesn't work for some odd reason, otherwise that's your solution right there).

I guess, as you stated, you might be able to write a fuse application to do it, but I don't see the benefit over just an encrypted disk.
Both the switch and the if have O(1) instructions, so both are the same from an algorithmic complexity perspective.
Do you Oregon folks not think Oregon fucked up the implementation? You can’t simply decriminalize and not have adequate resources to handle the results.
“You were born to deploy Kubernetes.”

LOL
Trends for the future of map design in OpenStreetMap
newborns barely know how to see, they have to learn it.

https://lozierinstitute.org/dive-deeper/the-newborn-senses-s...
Possibly. In most cases, the satire has become so arid, and reality such a cataclysmically stupid bit of incoherent lunacy, that "satire" is now just a corpse of bones that all the most bleak and nihilistic forms of humor sit upon like a throne...or clown-ass shitposters.

It's impossible to tell anymore, and that makes me weirdly happy and angry at the same time.
So there are three things that are hard in CS?

1. Cache invalidation.

2. Naming things.

3. Naming verboten things, from the inside.
perhaps that's the best path forward? Text and reference books (hopefully unbiased) for answers, and web scraped data for conversational tone.
I think if you are careful there is little risk of rupturing your eardrum. That being said...

I have ruptured my eardrum with a q-tip.

It wasn't my finest moment. My wife was behind me and said something. I turned to ask her what she had said and I hit my elbow, jabbing the q-tip into my eardrum.

That hurt like hell, but it didn't actually rupture on the spot. It wasn't until later that evening, when my wife and I were watching TV, and it suddenly sounded like the television was under water. I looked at my wife and asked what the hell happened to the TV, she freaked out and said blood was coming out of my ear. Interestingly, I did not feel any pain when that happened.

It took over a month before everything sounded normal again
I'm a only a single data point, but: I was recently in the market for a new EV, and the biggest reason that I didn't go with Tesla was Elon. Full stop.
Yikes! Doesn't seem like there's anything that can be done to solve that then.

I guess the only way to tackle it would be to target the popular software or libraries for producing PDFs to begin with and try to upstream parallel encoding into them.

Or is it possible to "convert" existing PDFs from single-segment to multi-segment PDFs, to make for faster reading on existing software?
There will be no engineering presence in Japan for the time being
According to the link I believe they'll still be able to sue and win.

You can train a model, but as for using it for commercial use that's a different story.
Sounds similar to Greenarray :

https://web.archive.org/web/20230331155747/https://www.green...
> at ~1,000 tokens/sec

12 tokens per second.
Pretty much all of the physical books I own are like this: rare and impossible to find online, in digital format or otherwise. People really overestimate how many books have been digitized.
I find that gcc and clang are so aggressive about inlining that it's usually more effective to tell them what not to inline.

In a moderately-sized codebase I regularly work on, I use __attribute__((noinline)) nearly ten times as often as __attribute__((always_inline)). And I use __attribute__((cold)) even more than noinline.

So yeah, I can kind of see why someone would say inlining is 'evil', though I think it's more accurate to say that it's just not possible for compilers to figure out these kinds of details without copious hints (like PGO).
I'm beginning to think that it's because most people have an inaccurate model of how "AI training" works.

They think that anything you say to an LLM is instantly added to its "knowledge" of the world - it has a perfect memory and hoovers up even the slightest piece of new information that you expose to it.

That's not how these things work. But it's hard to convince people of that, especially when the training data used by the models is a closely kept secret!
My opinion is that right of first sale should extend to digital goods and if publishers provide no legal means to lend or transfer works from one to another than the owner should be able to do so by whatever means they choose. Legally this would require owners to destroy any copies they may have made, no different from other digital works (e.g. compact discs). This would immediately cover libraries who would gain the benefit of having a collection which is not consumable (library books are good for 20-30 checkouts) and could remain a public good.

I'm surprised we've made it this far into the digital age without more consumer protection in this space. PC game companies eliminated secondary markets 20 years ago and that model has expanded to nearly all other media.
Canis lupus to Canis lupus familiaris transmission is pretty much guaranteed to be easy.
Our brains our overloaded with text these days with all the scrolling of news, email, texts and at work which mostly involves even more text.

Reading a great book has great value, I think most people would agree, but to even get to the cognitive state where we could even consider doing this, we have to reduce our enormous load of text that is not work-related.
I started doing this a few years back and I got back into reading in my spare time and I will never regret it.
> much, much simpler, cheaper, and broad

you left out "politically doable."

There's a good reason why copyright law is as f&cked up as it is: it's the major holders of copyrights now.
Linus Torvalds, the famous embroidery file converter developer
Hands down Apple products. They all work together well, last a good long time, and have good software coverage.

iPads are the best for those that just need the internet. The MacBook Air is good enough for the advanced stuff, and reasonably priced.

Roku is the one product that I don't think needs the Apple replacement. It is super simple to use, has a simple remote, was easy to tie into a sound system for them. They liked Roku so much that they replaced their older EOL TVs with Roku TVs. Also, I'll lump Sonos into this as they make a great sound product that easily connects to the TV and auto comes on, which is fantastic.
Gemini 1.5 moves to #2 on the lmsys arena leaderboard
Had the same thoughts, I like the tailwind className approach enough but you'd think agnostic means it would work with sites that use regular CSS.
Hey, I just bought an EV two weeks ago, and the main reason I didn't get a Tesla was Elon. So, I can't speak for other EV car buyers, but this one definitely cared about Elon's "incendiary personality" and not wanting to support him.
Have you argued that no one has tired real socialism yet too?
> Wanting to see celebrities

This is a thing? I don’t know that celebrity and will never see them in real life (probably) (at least not close up), why does anyone care if it’s real or not if it looks real? How does anyone know if any image of a celebrity is real or not at this point? Most of these have been heavily photoshopped/touched up for decades as it is, nude or not; that’s not very authentic either?
Another nice thing about paper books is that you can lend them out to your friends when you're finished reading them. This saves a bit of space, plus your friends can just pick them up and read them without worrying about a bunch of BS like whether it's compatible with their e-reader, if the DRM will work, if the publisher will revoke the rights for some reason, etc.
> I will say that it seems entirely possible to relatively quickly see all US animated kids movies

Decent or better ones… maybe.

There’s a deep bench of poor-to-terrible animated kids’ movies that were straight to VHS/DVD/streaming. For god’s sake, there are like nine Land Before Time movies alone.
You would think that macos didn't have problems, but I recently cleaned up someone's mac after I noticed a LOT of redirects when loading a website in safari.

Lots of weird directories with almost the right name, launch daemons, things that would re-install themselves when removed, etc.

the situation was basically nuke from orbit and start over.

this was a few os's back on intel. Maybe it's better now?
> We could have public libraries be entirely outside the copyright system.

As I mentioned in a sibling comment, extending the right of first sale to digital goods would benefit everyone without requiring a special exception for libraries.
Well, first: I didn't say anything about anyone being "less than candid". I don't believe that, or at least, don't have any reason to believe it from this post. I think people are talking their books, being overly optimistic, or just plain being arrogant.

Second: regardless of what the author understands or does not, the quotes about oncologists pointing to their favorite trial, and the like, are not OK. The only valid answer is "we don't know", because literally every drug candidate in a phase 1 trial has some claim to plausibility outside of humans, yet most fail.
i see, thank you!
> They are less distracting and help the kids focus.

That’s such an incredibly personal preference though. It’s far easier for me to read with an ereader when I don’t have to have 2 hands holding a heavier hunk of paper wants to close itself if I let go for a moment. I have a huge book collection but I’ve switched almost entirely to ebooks because I find the ergonomics so much better. Physically fighting with dead tree media is more distracting than my ereader.
This comment is breaking my brain.
According to https://www.greenqueen.com.hk/solein-protein-thin-air-first-... it has a subtle "savory" taste.
Looking back, I find it hard to offer concrete advice. So many of the "things I know to be true" changed over time, while so many of the "doing x to allow for future y" didn't lead to anything.

On the other hand, I have systems being worked on and still shipping 20 years old because of fortuitous decisions in the 90s. Most of those taken because of bad experiences with earlier systems.

For example, I'm a big fan of surrogate keys and UUIDs, in database design. Mostly because of experience where they weren't used which caused problems later. (By contrast, performance costs of using them become lower every year.)

Conversely deciding to build code libraries parallel to application development means long-term gains in performance and reliability.

It's easy to view all this in hindsight, -much- harder with foresight.

Today I try and see everything through 2 rules.

1) beware of "always" statements, especially especially in regard to client requirements. IME "always" is used as a synonym for "mostly" and "at the moment".

2) choose paths now that keep options open later. Will this system ever use distributed data? Probably not, but choose a primary key that leaves that option open.

Lastly, and this applies to data design, remember "nothing is universal". Using Social Security number as an ID is great, until they outsource. Phone number is always 8 digits? Yeah right. Nobody works night shift... you get the idea.

If in doubt, err on the side of "variant". You'll be right more often than not.
Two things can be true simultaneously:

1. Musk committed a catastrophically huge unforced error with his right wing buffoonery.

2. Tesla was MASSIVELY overvalued and a huge drop in valuation was inevitable regardless of Tesla’s performance.
DE Shaw has a systolic supercomputer: https://en.m.wikipedia.org/wiki/Anton_(computer)
>But it's a long way from any sort of proof, and they really should only be saying "we don't know, and you're taking part in an experiment to find out".

I think this is a fundamental misunderstanding of what doctors are communicating. Of course they can communicate medical consensus, but they can also communicate personal opinion, as fallable as it may be. It is a human interaction.
Formal Methods; and i don't think i am going to get out of this rabbit hole anytime soon in the future.

More than just using some formal language/tool i had wanted to learn about the Mathematics/Ideas behind formal methods and how they are embodied in TLA/Z language/B method/etc. After a survey of available books i zeroed in on Understanding Formal Methods by Jean François Monin hoping to get an overall idea of how everything comes together. But what i got was a fire-hose/mishmash of so many different sub-fields/notations/abstractions used in the field that it is quite a struggle to get a good grasp on anything. The author's style of writing is obtuse/challenging and the contents are more of a survey/introduction than detailed explanations.

The result is that i am now interested in figuring out a whole lot of mathematical/logical sub-fields which i suspect is going to occupy a lot of my time in the future.
This is exactly the type of license Redis tried to move to when people got upset and forked it twice.

"Essentially Apache with restrictions"
If anything did, it's Libby, except that directly just worked alongside libraries instead of disrupting them.
While you can scribble, you can easily highlight and comment on books. Going back and forth is maybe slightly harder than a book, but it isn't "so difficult." I'm not saying reading on a Kindle is better than a paper book. But I didn't think it is as bad s you claim it is. I personally like it because I can read anywhere. I don't need to carry a large heavy book around.
Related: “The E-Book Wars” by Planet Money

https://www.npr.org/2022/11/09/1135639385/libraries-publishe...
Musk's deranged "anti-woke" and racial obsessions[0], combined onto the huge quality problems I regularly see pop up online, plus the never ending "full self driving by the end of the year" sideshow all turned me off Tesla. A unserious CEO leading an unserious company, selling an expensive and potentially lethal machine. I don't want to drive a car whose safety features change weekly with whatever Musk tweets out.

Maybe a few years back before COVID I would have been a Tesla customer. Instead I opted for an EV from a traditional manufacturer. Great quality and drive, it suits me just fine, even if the software isn't the most advanced.

[0]Funny to me that the anti-woke reactionaries are way more obsessed with race and gender then almost any left wingers I have known. They build up these social media scarecrows of what is "woke" to rile themselves up.
And just like that Japanese replaced english as the universal language in the 21st century, it just took a generation to learn the best language for interacting with machines. <some historian, 22nd century, translated from Japanese>
> 35 books out of 100 are profitable

I don't think that's right. It's just too good. Imagine that you are an author and maybe you pay one line editor and get beta-readers for free, maybe you do your own cover, and you don't print a large batch of your book and because you are the author, you can't pay yourself an advance. That kind of resourcefulness that a trad publisher can't afford would allow that same 35/100, maybe a little higher, or maybe a little lower, depending on how you do with self-promotion. Still, it means that if you are not a terrible writer, or one who consistently writes stuff nobody wants to read, you will make money with one book out of three. Which I think is too good.
I suppose this is true, but feels like the exceptional case. And why not have a reasonable policy that allows someone to appeal their hold limit and have it subjectively approved. I am a fairly prolific reader and I only have 7 holds spread out across 3 libraries. I seriously doubt 25 is the p90 here.
Yeah they broke the auto wipers in a past models update when they decided cameras were enough and got rid of the $1 rain sensor. The broken auto wipers weren't a deal breaker till the recent change to remove the stalk completely though.
Train wrecks invariably draw a crowd.
This hack has been a massive clusterfuck and is responsible for most of my team being canned due to the provider we worked for not having 3/5 of their revenue since February.

What a disaster.
Inverse square law. With the power we're transmitting at, signals become just background noise relatively quickly. They're nowhere near strong enough to be detectable at e.g. Proxima Centauri. This is what makes the radio signals we do detect, like fast radio bursts, so interesting. So for instance, the furthest signal we've detected is called FRB (fast radio burst) 20220610A, and that millisecond length signal came from a source with output energy equivalent to decades of the Sun's entire output.
Does anyone make an EV with a user interface modeled after every car I've ever actually driven?

I hated driving the Model 3. It was like an iPad on wheels. Does anything out there have normal turn signals, normal windshield wipers, a dashboard that's in front of you, and doesn't slam the brakes every time you relax your foot a little bit?