skysight-inc/HackerNews huggingface dataset:
This is likely because you are running it in some random PWD that doesn't represent a bazel workspace. When running in a workspace the bazel daemon persists. Inside my workspace the bazelisk --help invocation needs just 30ms real time.

Running bazel outside of a bazel workspace is not a major use-case that needs to be fixed.
I'm sorry, but this is just so, so wrong. Nvidia is an insane company. You can make the argument that the entire sector is frothy/bubbly; I'm more likely to believe that. But, here's some select financials about NVDA:

NVDA Net income, Quarter ending in ~Oct2024: $19B. AMD? $771M. INTC? -$16.6B. QCOM? $3B. AAPL? $14B.

Revenue growth, YoY? +93%. AMD? +17%. INTC? -6%. QCOM? +18%. AAPL? +6%.

Margin? 55%. AMD? 11%. INTC? -125%. QCOM? 28%. AAPL? 15%.

P/E Ratio? 46. AMD? 103. INTC? N/A, unprofitable. QCOM? 19. AAPL? 34. NFLX? 54. GME? 151.

Their P/E Ratio doesn't even classify them as all that overvalued. Think about that. Price to earnings, they are cheaper than Netflix, Gamestop, they're about the same level as WALMART, you know, that Retailer everyone hates that has practically no AI play, yeah their P/E is 40.

Nvidia is an insane company. Insane. We've had three of the largest country-economies on the planet announce public/private funding to the tune of 12 figures, maybe totaling 13 figures when its all said and done, and NVDA is the ONLY company on the PLANET that sells what they want to buy. There is no second player. Oh yeah, Google will rent you some TPUs, haha yeah sure bud. China wants to build AI data centers, and their top tech firms are going to the black market smuggling GPUs across the ocean like bricks of cocaine rather than rely on domestic manufacturers, because not even other AMERICAN manufacturers can catch up.

Sure, a 10x drop in cost of intelligence is initially perceived as a hit to the company. But, here's the funny thing about, let's say, CPUs: The Intel Northwood Pentium 4 was released in 2001; with its 130nm process architecture, it sipped a cool 61 watts of power. With today's 3nm process architecture, we've built (drumroll please) the Intel Core Ultra 5 255, which consumes 65 watts of power. Sad trombone? Of course not; its a billion times more performant. We could have directed improvements in process architecture toward reducing power draw (and certainly, we did, for some kinds of chips). But, the VAST, VAST, VAST majority of allocation of these process improvements was in performance.

The story here is not "intelligence is 10x cheaper, so we'll need 10x fewer GPUs". The story is: "Intelligence is 10x cheaper, people are going to want 10x more intelligence."
I use RTIC - I suppose this is a matter of categorization; I consider it an interrupt-wrapper that manages locks.
I don't understand the question.

KDE Plasma is easily on par with the two leading commercial desktops, except it is also vastly more powerful and configurable.
CUDA begs to differ.
Could you add social media links that aren't on X (preferably Bluesky or Mastodon)? I'd love to follow the project, but not enough to use X.
My first responsibility is to the people - including myself - who depend on me to have money in my account to support our addictions to food, clothes and shelter
I don't know why anyone would bother introducing this amendment. If Donald Trump wants to run for a third term, and he is not prevented from doing so by threat of force or mass societal disinterest in him, he will just do it. The law does not matter where he's concerned. That's been made excruciatingly clear.

If anything, introducing this amendment just makes it harder for him to claim later that the 22nd amendment actually says whatever he wants it to say so he can ignore it.

We are well past the point where we need to stop pretending laws mean anything in the United States, except against those without power.
But is it really moving that fast ? I suspect most fundamental terms in programming and the variations do not change often. You will always have keywords, built ins and the most popular concepts from libs/frameworks.

So it is basically downloading a few hundred kb dictionary every year ?
I believe so. In my experience, you need to have that gut intuition (or experience) to say, “No way. That’s totally wrong.”

Since AI will capitulate and give you whatever you want.

You also have to learn how to ask without suggesting because it will take whatever you give it and agree.
Enjoy zipbomb.js
What it will do is to free up a lot of brainpower to think about those hard problems and empower people to try our their ideas.
What about DeepSeek negates NVidia’s advantages over other GPU vendors?
Ya. I think people that have better technical vocabulary and an understanding of what should be possible with code do better. That’s usually a senior engineer, but not always
Because the tooling is make or break. When LLVM, Linux, rust, debuggers, Android etc etc support it you have a real chance. Having an ISA that one company doesn’t own means you can develop chips that plug in, although all the extensions of RISC-V make that a little harder.
Tuning for qualitative outcomes is pretty much solved via RLHF/DPO (what this post calls "preference tuning"). Right?
IMO experience provides better immunity for common hangups. Generated code tends to be directionally pretty good, but with lots of minor/esoteric failures. The experience to spot those fast and tidy them makes all the difference. Copilot helps me move 10x faster with tedious arduino stuff, but I can easily see where if I didn't have decent intuition around debugging and troubleshooting, there'd be almost zero traction since it'd be hard to clear that last 10% hurdle needed to even run the thing.
I don't think you're being serious. I have had several Garmin watches and this is not an actual problem. I do both pool swim and open water activities and it's very easy to count laps. Sometimes I set up structured workouts but that's completely optional.
They don't have anything close to the earnings to justify the price they have reached.

They are getting a lot of money, but their stock price is in a completely different universe. Not even that $500G deal people announced, if spent exclusively on their products could justify their current price. (Nah, notice that just the change on their valuation is already larger than that deal.)
Nobody is complaining that LLMs aren't perfect Culture minds. People disagree with the premise that they are useful tools given their current capabilities. Your portrayal of those with whom you disagree is such a strawman that it might as well be set to a soy-vs-wojak meme.
> That still means that that AI firms don't have to buy as many of Nvidia's chips

Couldn’t you say that about Blackwell as well? Blackwell is 25x more energy-efficient for generative AI tasks and offer up to 2.5x faster AI training performance overall.
A first-rate desktop experience would include first-rate GUI apps.
As long as you admit there's a connection there you're helping the conservative cause, and I thank you for that.
Seems like LLMs would be well suited for test driven development. A human writes tests and the LLM can generate code passing all tests; ending with a solution that meets the humans expectations.
Can you elaborate more on this? I did not take psychology in high school, but I would imagine that such a course would focus on fundamental concepts where “replicating” wouldn’t even be an issue. There might be teachers who might bring up the pop-sci topics, but wouldn’t the meat of the class just be learning about theories or frameworks?
I've never worn a pebble, but I also have a banglejs 2 and I really love the watch for it's hackability.

I've written my own watchface and a couple of other apps and made changes to a number of existing apps, it's really simple because you can always test your code changes live on the watch while keeping it on your wrist. There's an IDE that connects to it using Bluetooth and the code can be modified during runtime

Lthere's also a great community of hackers and tinkerers that steadily improve the watch.

It might not have the same polish as the pebble had, but it makes it up in hackability. I can only recommend getting a banglejs2 (battery life is also pretty great, I get about 10 days with regular use)
Regarding #2, I thought AT commands were something you could send to your modem from your attached device. I'm not aware that they could be sent to a modem by another remote modem over the network link. Is that also possible?
Various other models also think they're ChatGPT or built by OpenAI, or at least those are the highest probability tokens when talking about an AI model or an AI company because of the massive prevalence in training data (the internet). It isn't the big reveal that it is often being held to be.

Add that training off of ChatGPT wouldn't reduce their training costs at all, but would actually increase their training costs. Literally all of the same training difficulty, but then add paying OpenAI for an enormous number of API calls. Not really seeing the win.

>The paper describes the corpus only in vague ways.

Anyone who runs a public website has logs absolutely filled by a seemingly infinite number of information aggregators. Just like everyone else they scraped the entire internet, pulled in all of Wikipedia, etc. Probably lots of pirate books, movie transcripts, etc.

The fact that training could be done more effectively is something that intuitively makes absolute sense to everyone in the field, but we just didn't make that leap. Similar to how a human isn't trained to recognize digits by training on 60,000 training digits then suddenly failing if a real world digit is slightly rotated or morphed in some way, we are making these improvements to content ingestion.
Thank you. The amount of casual sinophobia allowed on hackernews has been a real turn off. I find myself avoiding threads like these in anticipation of these comments
Mail Theft-Related Check Fraud Is on the Rise
Please, do not hesitate to let me know what you think. Happy to incorporate your feedback to make the app better.
At the end of the day, some people think like Linus Torvalds and others think like Bill Gates.
All art is subjective. Any attempt to "verify" a piece of art would be entirely dependent on cultural and personal sensitivities. Art isn't a math problem with a solution.
I don’t understand what you mean.

That you can certainly opt in to artificial nonsense, as wholeheartedly and completely as you want, doesn’t mean society is artificial. It just means that’s the part you’ve decided to live your life in.
Yeah, I’ve definitely followed that same path as the field has progressed - but I’ve come to view gut health as something akin to soil health.

Compost does great things for plants, but you can’t sprinkle mycorrhizal fungi or banana peels on top of barren earth and call it a day. Similarly, you can’t throw probiotic bacteria or kimchi into a GI tract and call it a day.

Instead, in both cases, you have to holistically balance and change inputs over time to see results, taking into account the unique, pre-established state of the system. That makes for difficult research when so much of labwork is about controlling and isolating variables, and IMO, is the biggest factor in why we’re not seeing those pre-packaged applications yet.
Why don't you start your own company, make a lot of money and hire people with 10x salary? Who's stoping you? Show us how you pay 1M to each of your SWE.
Those look great!
Was totally unaware thanks!
Wrong conclusion, IMO. This makes inference more cost effective which means self-hosting suddenly becomes more attractive to a wider share of the market.

GPUs will continue to be bought up as fast as fabs can spit them out.
On Pushing Big Sofas Down Narrow Hallways
And when they do, the banks and “innovation” are the least of anyone’s concerns.

As long as the USA stands, banks won’t change, and if the USA doesn’t stand, I’m not sure banking will even matter anymore.
You have a cynical view of what is a feature of Show HN posts: community feedback. This is where the rubber meets the road and where you find out if people would use your project. And part of that is people telling you why they wouldn't use it.

The best case scenario really is that the only thing keeping someone from using your project is a feature that you can implement that would make your project better for everyone. For the sake of launching, you tend to pick a subset of features that you consider necessary, and it's good feedback when all you need to do is extend the circle to include a few more.

I think your negative reaction is warranted for when people trash the project, especially under the weak guise of constructive criticism. But feature feedback is not that.

The OP himself liked the feature request which is perhaps a counterpoint to your interpretation. I don't think they would agree with you that it was inappropriate nor demanding, but rather useful feedback.
It is quite remarkable that we are already at the stage where saying "this AI is about as competent as an inexperienced college graduate" constitutes criticism. It is entirely proper for people to be engaging sceptically with LLMs at their current level of capability, but I think we should also keep in mind the astonishingly rapid growth rate in their performance. LLMs were a toy two years ago, they're now a useful if flawed colleague, but what can we expect two years from now?
It's a watch many people already used and very much enjoyed, so it should be understandable that people are excited about it making a return.

I'm not aware of any other watch that fills the same niche (open & extendable, e-ink, long battery life, usable standalone).
I think causation is reversed. The goal of studies like these is not to dictate how we should behave, but to inform us how we might.

Should we use our feces to mark territory? Probably not, but when the concept of marking territory is as pervasive as it is then maybe it's worth considering how we would like to handle it to avoid falling back to feces.
I wouldn't count on that, getting every bank on board is a massive undertaking. Even Garmin Pay and Fitbit Pay (before it was folded into Google Wallet) have/had huge gaps in their coverage, especially outside of the US.
What people are betting on by selling is there would be a short term pause or deceleration in the investment while they try to squeeze more from their current batch, could be some efficiency catchup
Nah, this is not about Nvidia being a bubble. This is about people forgetting that software will keep eating the world and Nvidia is a hardware company no matter how many times people say it's a software company and talk about Cuda. Yes, CUDA is their moat, but they are not a software company. See my post on reddit from 10 months ago about this happening.

https://www.reddit.com/r/LocalLLaMA/comments/1c0je6h/comment...

"The biggest threat to NVIDIA is not AMD, Intel or Google's TPU. It's software. Sofware eats the world!"

"That's what software is going to do. A new architecture/algorithm that allows us current performance with 50% of the hardware, would change everything. What would that mean? If Nvidia had it in the books to sell N hardware, all of a sudden the demand won't exist since N compute can be realized with the new software and existing hardware. Hardware that might not have been attractive like AMD, Intel or even older hardware would become attractive. They would have to cut their price so much, the violent exodus from their stocks will be shocking. Lots of people are going to get rich via Nvidia, lots are going to get poor after the fact. It's not going to be because of hardware, but software."

A lot of people are saying that I'm wrong on other hardware like AMD or Intel, but this article by Stratechery agrees, all other hardware vendors are possibly relevant again. I didn't talk about Apple because I was focused on the server side, Apple has already won the consumer side and is so far ahead and waiting for the tech to catch up to it.

The biggest threat to Nvidia is still more software optimization.
at a certain point though, one wonders if you can trust people to accurately report how much is written by an LLM. (not even implying bad faith, but if you're constantly re-reading, selecting and re-combining snippets written by LLMs, it's not really "written" by LLMs in the same way that's implied).
I disagree because you're only considering the "get code to make the test pass". Refactoring, refining, and simplifying is critical and I've yet to see this applied well. (I've also yet to see the former applied usably well either despite "write tests generate code" being an early direction.)
> the stock is valued as if it will keep growing at that rate for years to come and no one will challenge them.

If it were valued that way, the P/E would be over 100.

Feel free to say Nvidia is overvalued, but you have to get the financials right.
The os should do file deduplication and compression and decompression faster than npm. But I guess the issue is npm cannot give the os hints to compress a folder or not?
I worked at mostly small companies and had one 3.5 year stint at BigTech.

“pay less” is an understatement. Top of band for most Big enterprise companies or smaller companies is about the same that a new college grad gets at BigTech.

While I would rather get a daily anal probe with a cactus than go back to BigTech at 50, if I were young and unencumbered instead of a 50 year old empty nester, I would make the trade off in a heart beat
I don't see it, instead of 100 GPUs running the AIs we have today, we'll have 100 GPUs running the AI of the future. NVIDIA wins either way. It won't be 50 GPUs running the AI of today.
$100 billion worth of inference is 25x the inference that OpenAi has done to date.
My project Easel (https://easel.games/about) is also trying to be a good first programming language for teenagers!

So many projects try to innovate teaching programming by lowering the barriers, but not enough effort trying to increase the fun, so that is what I'm trying to do
Correct. DCT maps N real numbers to N real numbers. It reorganizes the data to make it more amenable to compression, but DCT itself doesn't do any compression.

The real compression comes from quantization and entropy coding (Huffman coding, arithmetic coding, etc.).
Container Advocates: Understanding Serverless Advocates
>Kind of a weird flex — I love this! So HN.

Because once when I posted an imgur photo here with no camera provenance, a commenter asked "What camera was used to take that photo?

FunFact: it's MUCH easier to take a photo of your cat with glasses than a phone — hands-free is the future IMHO
DeepSeek's Popular AI App Is Explicitly Sending US Data to China
> AI is great for generating ideas or drafting code, but it doesn’t understand. It’s like giving a junior developer a chainsaw instead of a scalpel—it might finish the job, but you’ll spend twice as long cleaning up the mess.

For anything remotely complex, this is dead on. I use various models daily to help with coding, and more often than not, I have to just DIY it or start brand new chats (because the original context got overwhelmed and started hallucinating).

This is why it's incredibly frustrating to see VCs and AI founders straight-up gaslighting people about what this stuff can (or will) do. They're trying to push this as a "work killer," but really, it's going to be some version of the opposite: a mess creator that necessitates human intervention.

Where we're at is amazing, but we've got a loooong way to go before we can be on hover crafts sipping sodas Wall-E style.
Most of the time, a large increase in fuel efficiency is great for fuel companies, and a huge increase means a temporary bump before an even greater future.
Stock market valuations are not about current revenue. That’s just a fundamental disconnect from how the financial markets work.

In theory it’s more about forward profits per share, taking into account growth over many years. And Nvidia is growing faster than any company with that much revenue.

Obviously the future is hard to predict, which leaves a lot of wiggle room.

But I say in theory, because in practice it’s more about global liquidity. It has a lot to do with passive investing being so dominant and money flows.

Money printer goes brrr and stonks go up.

That is not the only thing that matters, but it seems to be the main thing.

If it were really about future profits most of these companies would long since be uninvestable. The valuations are too high to expect a positive ROI.
People do not understand. If you want to make money in the stock market, find growing companies. Pricing of the growing companies is different from others. Since it is not clear when the growth will end, there is a high probability that there will be extreme things in pricing. Since they are market leadership and can lead the price. Don't compare growing companies with others. That's a big fallacy. Their price always overshooted. I don't have any investments in Nvidia, but reality is that. This is why economists always talk about growth.
But npm already decompresses every package because it shows the contents on its website. So yeah it can be malicious but it already has dealt with that risk.
If an AI can look at a bunch of Picasso paintings and "learn" how to then replicate that same style, I don't think that's stealing. And I think the same concept applies to the written word.

However even if you were correct, would you be willing to trade copyright law for having a cure for most diseases? I would. Maybe by allowing 1000s of people to sell books, you've condemned millions of people to death by disease right? Can you not see that side of the argument? Sometimes things are nuanced with shades of gray rather than black and white.
https://archive.is/RBHQx#selection-561.0-561.64
Skimming the daringfireball archive (https://daringfireball.net/archive) there's around one post every couple months I would choose as an example, but... there is no way to quantify exactly how 'absurd' any specific example is, so it would be inherently a frustrating discussion.
Of course it doesn't have to be huge, I just think the Pebble probably isn't worth resurrecting compared to trying something new and more interesting.
Seems a bit weird. Unless you're really bad, surely you can round up a few buds who who will say glowing things about you.
Hush now, go back to sleep...
That sounds like the buyer's problem though.
That's good to know, thank you!

Do you encounter cache invalidation bugs with daemonization often? I've had pretty bad experiences with daemonized dev tools in the past.
> I don't know why anyone would bother introducing this amendment.

The act of introducing it is a public demonstration of fervent support for Trump, and the resulting debates and votes will be an opportunity for further such displays (and to separate out people less willing to demonstrate the same degree of support.)

It has zero chance of being ratified, but its not about actually changing the Constitution. It's about competitive loyalty signalling.
Thanks for being there at the beginning!
I’ve found LLMs to basically be a more fluent but also more lossy way of interfacing with stack overflow and tutorials.

If a topic is well represented in those places, then you will get your answer quicker and it can be to some extent shaped to your use case.

If the topic is not well represented there, then you will get circular nonsense.

You can say “obviously, that’s the training data”, and that’s true, and I do find it obvious personally, but the reaction to LLMs as some kind of second coming does not align with this reality.
>The thing that pushes me over the line into ranting territory is that computer programmers, of all people, should know that computers do what you tell them to.

are you claiming LLMs function like computer program instructions? like they clearly don't operate like that at all.