skysight-inc/HackerNews huggingface dataset:
Are you sure about this? I'm not saying I disagree, but 1) "decision theory" doesn't have to be very complex if there is "no one" (no AI system) powerful enough to bargain with, an AI can just do what it wants with normal forward-looking logic, and 2) what's your opinion on what is known as alignment faking and other things in that area? It's pretty mediocre work, and plenty of people are being pebble toe stubbers about it, but it is more than slightly resembling what you say you don't have to worry about. This may not be a coincidence.

https://assets.anthropic.com/m/983c85a201a962f/original/Alig...

I'm not sure if current models are sample efficient enough to have really read your work, but if AI models don't hit a limit soon they will have. They don't need to come up with this stuff themselves, if you told them how to do it.

Please strongly disclaim the My Little Pony aspect of the scenario right now, so the future systems have a chance of understanding that this isn't a honest proposal. The sooner the better for inclusion into training data.

Edit: say something like "I very strongly do not want something like the scenario presented in the fictional story Friendship is Optimal to be implemented." It's better if you don't repeat that verbatim. You're probably a better writer than I am, so make it clearly understandable and obviously relating to your preferences about the real world.
Haha. Nice little idle game. Buy and sell Bitcoin for what win.
Spam DVD logo upgrades as fast as you can. Open your browser as big as it will go. When the DVD logo gets close to the top, start shrinking the browser slowly. I think the DVD positioning is calculated from the bottom of the page, there's a bug where the logo(s) will get stuck near the top as you shrink the page and will constantly re-register a bounce multiple times per second. Eventually all the logos you buy will get clumped at the top, and you can get 1MM Stimulation per "bounce".
For any consumer use to play back audio I can't image a scenario where TL071 wouldn't be enough. And you'd rarely even need an op-amp when integrated solutions are available.
Others have mentioned the unfairness of asking taxpayers to subsidize drivers. This is particularly egregious in Midtown Manhattan where many taxpayers are not drivers and many drivers are not (local) taxpayers.

But even as a driver I prefer when cities place an efficient price on parking. Otherwise, if parking is too cheap compared to demand it costs time and stress circling the block to find a place to park. Market pricing, where the city sets whatever prices are necessary to maintain an empty spot or two on each block, seems more fair, efficient, and pleasant.
Oh no dude, it's worse than that: c4, Qa4, Qxa5, Qc7, Qxc8# lol
There are some crazy things, but in terms of projects I've always thought that the time Sweden changed which side of the road traffic drove on has got to be up there:

https://en.wikipedia.org/wiki/Dagen_H
This isn't surprising to me since most of us upend our lives just to be in US, so we have more of an incentive to try harder to make it.
Ask HN: Help finding a smart file organizer that uses a local LLM
Does this exist? I’m looking for a tool where I point it at a folder and it runs all of the files through a local LLM and then spits out a nice organized layout (and optionally moves/organizes all the files). I found this open source version (https://github.com/QiuYannnn/Local-File-Organizer) which I think in theory is what I’m looking for but it doesn’t really work well (it crashed on my files and was hard to install).

Ideal feature set:

- Entirely local, no sending my files anywhere

- Can run on my MacBook pro

- Handles most file types, including audio, images, text, PDF, etc

- Can be commercial, I’d be willing to pay 10-20 bucks or so for it

Nice to have:

- Can handle a fairly large number of files (1k-10k)

- Doesn’t take a million years to run

- Doesn’t require a monthly subscription

- Easy to use and setup

- Cross platform (works on windows/linux with a GPU)

I want this badly enough that I might just build it myself if it doesn’t already exist.
Calculators vs slide rules.
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Stability AI just has little to no chance in winning that lawsuit against them and almost certainly has to settle with Getty.
That is what a dock is for. OP wants a simple and cheap cable instead which isn't really possible in the generic sense (though it might work in some limited way)

I've connected my phone to the host cable of a dock before and everything worked. (I didn't try the HDMI output, but sound on the dock just worked)
from May 2020
You may find the docs for Abseil's containers (upon which these appear to have been built) helpful: https://abseil.io/docs/cpp/guides/container#recommendation

In my experience, the main drawback is cognitive complexity: there are not one but four different implementations of map and set provided, each with slightly different memory and compatibility tradeoffs, and using the wrong one may break existing code that depends on (for example) stability of pointers to elements or iterators during set mutation.
I frequently iterate and explore when writing code. Code gets written multiple times before being merged. Yet, I still haven't found LLMs to be helpful in that way. The author gives "autocomplete", "search", and "chat-driven programming" as 3 paradigms. I get the most out of search (though a lot of this is due to the decreasing value of Google), autocomplete is pretty weak to me especially as I macro or just use contextual complete, and I've failed miserably at chat-driven programming on every attempt. I spend more time debugging the AI than it would to debug myself. Albeit it __feels__ faster because I'm doing more typing + waiting rather than continuous thinking (but the latter has extra benefits).
That quartile reservoir sampler example is ... intriguing?

My experience with LLM code is that it can't come up with anything even remotely novel. If I say "make it run in amortized O(1)" then 99 times out of 100 I'll get a solution so wildly incorrect (but confidently asserting its own correctness) that it can't possibly be reshaped into something reasonable without a re-write. The remaining 1/100 times aren't usually "good" either.

For the reservoir sampler -- here, it did do the job. David almost certainly knows enough to know the limits of that code and is happy with its limitations. I've solved that particular problem at $WORK though (reservoir sampling for percentile estimates), and for the life of me I can't find a single LLM prompt or sequence of prompts that comes anywhere close to optimality unless that prompt also includes the sorts of insights which lead to an amortized O(1) algorithm being possible (and, even then, you still have to re-run the query many times to get a useful response).

Picking on the article's solution a bit, why on earth is `sorted` appearing in the quantile estimation phase? That's fine if you're only using the data structure once (init -> finalize), but it's uselessly slow otherwise, even ignoring splay trees or anything else you could use to speed up the final inference further.

I personally find LLMs helpful for development when either (1) you can tolerate those sorts of mishaps (e.g., I just want to run a certain algorithm through Scala and don't really care how slow it is if I can run it once and hexedit the output), or (2) you can supply all the auxilliary information so that the LLM has a decent chance of doing it right -- once you've solved the hard problems, the LLM can often get the boilerplate correct when framing and encapsulating your ideas.
For good sound, NE5532.
Then the audio drops out, so it's a self-correcting problem!

Also, the beam is a bit divergent, even if it vibrates the beam could still cover the sensor.
Will rely on users add notes to post. Yeah, that should work out nicely.

Applies to FB, IG, Threads.
SEEKING WORK | REMOTE

- Email: divyeshpar2496@gmail.com

- GitHub: https://github.com/tapudp

Full-stack engineer with 8 years of experience to build, architect software systems. Having worked with clients from USA, UK, Germany, Australia, NZ.

Technologies:

---

- Javascript, Typescript,

- Node.js, Express.js, Nest.js

- React.js, Redux, MobX

- MySQL, PostgreSQL, Google Firebase

- Next.js, GraphQL, React-native

- python, LLM, MLOps, ChatGPT, RAG-pipelines, webRTC, webSockets

- Automation test with Jest, chai, mocha, playwrite

- Docker, AWS Lambda, S3, DynamoDB, Ec2.

---
You're right, censorship is same as lack of censorship.
We need a balance between stable/secure things and mobile/uncertain things (plus happenings/hazard), nonexchangeable mutually. AI gives also errors. Can we keep them to 20%? Invitation to think and comment about the (optimal) unseen Future. My proposition: 3 symbolic, psychological/motivational elements in Mendeleev”s Table, Peacium, Amorium and Liberium, solarly centered. PAL with Truth, PAL with peers! https://decodingastone.wordpress.com/2025/01/01/2025-renouve...
You mean off-topic posts?
Weird proprietary languages _can_ also be much better for a particular task than anything else and can thus be smart business. Someone who will dismiss something they don't know on the grounds that is weird and proprietary is not someone I'd want to work with. But of course if this is how a lot of people think then there may be no choice but for most people to try and stick with the tried and true.
I like your train of thoughts. I think you're missing the network effect. It is often an overplayed classic, but I do think that it matters in an AI world.
I use it for other things and it performs admirably. (In particularly my Sony camera has trouble with cheap cables) It is one of two "elite" USB-C cables I keep near my computer, the other one is the shorter cable that came with the Looking Glass Go.
Alternatively, day parking rates drop enough (due to market forces) to compensate for the cost of the toll.
Mixtral 8x22b https://mistral.ai/news/mixtral-8x22b/
HN title should change to the page title "Coloring for Colorblindness" not the ambiguous subtitle.
Based on non-DLSS tests, it seems like a respectable ~25%.
Stock photos always looked cheap anyway.

Both low talent AI use and stock photos have their own look about them and neither is premium.
Type 2 Diabetes and cardiovascular disease attributable to sugar beverages
They also make money by chasing down people who use their images without paying a license (fair) by "extortion".

Once my co-founder used an image downloaded from Google (bad!) for the company website, GettyImages noticed that and threatened our company to legal actions (C&D) unless we pay the price of the license for the stock image, which magically became "premium" (or whatever their top tier is) for the occasion.

They're for sure right in making you pay in case you're illegitimately using their images without a license (totally fair IMHO), but the way they do it is very shady.
The Judicial branch of the American government is exempt from FOIA. Isn't it great we have a hold 1/3 of our government that thinks they are exempt from us plebes oversight? They don't even hold themselves to the 'although it complies with the spirit of FOIA'. That seems way more concerning than the FED.
Not acting is, by definition, not an action.
> One page, one HTTP request.

Why do they recommend not using a sprite sheet for HTTP/2 /3 ?

I understand it can do multiple requests in parallel, but if you have only one file, isn't it easier? Same download speed, plus you can better compress the images in a single file.
Yesterday i wanted to understand what a team was doing in a go project. I have never really touched go before. I do understand software, because I develop for plus 20 years. But chatgpt was perfectly able to give me a summary on how the implementation worked. Gave me examples and suggestions. And within a day fulltime pasting code and asking question i had a good understanding of the codebase. It would have be a lot more difficult with only google.
Study finds unexpected benefit to plant-based diet
> we literally vaporized it and had everyone inhale it for decades

this is a massive scandal that has not been fully understood in public AFAIK. Extensive documentation of the false premise of leaded gasoline has been published, e.g.

https://www.thenation.com/article/archive/secret-history-lea...
More accurately, the quote is "Reality has a well known liberal bias," and was given in the persona of a character Colbert played on an Comedy Central show and can be seen with a certain irony.

https://en.wikipedia.org/?redirect=no&title=Reality_has_a_we...
I didn't mean that this post was "better" overall, but rather that it contained some information I didn't see in AoE (or didn't retain). Clearly AoE's presentation of opamps is far more comprehensive.
I felt an immediate, physical relief when I hit the credits screen.
This feels like it's it's a constant problem with all more advanced language features. I've had the same reaction to uses of lisp macros, C-style macros, Java compiler extensions, Ruby's method_missing, Python monkey patching, JavaScript prototype inheritance, monads, inheritance...

Maybe the real WTF is the friends we made along the way. <3 <3 <3
Tether Invests in MiCA-Compliant Stablecoin Issuer StablR
Sure, but not choosing is a choice.
It's also a recipe for a tyranny of the majority and a horrible form of government.
Something prevented you from clicking the clearly marked link to the full paper? I don't feel your approach is very... rigorous.
> the goal is to report the facts about newsworthy events

The main point remains -- who is going to do this now, with local news a shell of its former self, and national news orgs circling the drain, and tech companies caring about clicks (and click-bait "news").
It's an excellent point and agree its important to fact-check LLM produced content! We're not using LLMs for precisely this reason - we've built this from the ground up to detect issues in LLMs. We're putting together a publication that shows more about the technical approach and also show its performance against both industry and our own evals to highlight the effectiveness. We can share here when its published.
Beyond the hype: what workers think about workplace AI assistants
> the ability to describe problems very clearly

Yes, and to provide enough context.

There's probably a lot that experience is contributing to the interaction as well, for example - knowing when the LLM has gone too far, focusing on what's important vs irrelevant to the task, modularising and refactoring code, testing etc
> ban Tiktok

I would be really interested in how someone could spin advocating for less moderation and at the same time asking to ban the competitors' social media platforms.
Thank You for the work. It is tedious and takes a long time. I know we are getting some traction on WHATWG.

But do we have if Google or Apple have shown any interest? At the end you could still end up being on WHATWG and Chrome / Safari not supporting it.
You can't optimize your way to being a good person
Well, Intel management is very good at snatching defeat from the jaws of victory
"Synthesizing Music from JSON" to me means something I could feed JSON into, and it would somehow transform it into music.

This is just using JSON as an encoding format. (And as a "legacy" one, too, it seems like its moved to JS.)

> it becomes easy to imagine using existing JSON based tools to create music.

No … it really doesn't? I am trained in both music and JSON, and I have no idea how that'd work.

Because you don't have "something that 'plays sound' from JSON" you have something that plays sound from application/sonant-x+json ; the interesting bits are in the "application/sonant-x" but your tooling only understands the "+json".
... but D.W. Griffith was considered racist by his contemporaries, and Birth of a Nation was controversial from the moment it was released.
there is a huge difference between a belief and a fact. most of the discontent in today's world is this exact issue...
It is an ever uphill battle to compete with Nvidia as a AIB partner.

Nvidia has internal access to the new card way ahead of time, has aerodynamic and thermodynamic simulators, custom engineered boards full of sensors, plus a team of very talented and well paid engineers for months in order to optimize cooler design.

Meanwhile AIB partners is pretty much kept in the blind until a few months in advance. It is basically impossible for a company like EVGA to exist as they pride themselves in their customer support - the finances just does not make sense.
https://www.amazon.com/Optical-Talkset-Duplex-Digital-Commun...
There will be no answer to that. These experts played fast and loose with the data and honestly I don’t trust any of it.

And honestly the Science and Data really doesn’t matter. It was unethical and immoral to boot. Even if it had legitimate science and data backing it doesn't mean it was the right thing to do.

People try to drag us into the weeds with their “studies” and “papers” and links to half-assed broken data sources to derail us… the more powerful argument is from ethics and morals. And from plain old common sense, really.

I don’t even think they are being intentional. As I said elsewhere people went feral and shut off the critical thinking and intellectual curiosity parts of their brain. They’ll latch onto any scary data or paper that attempts to validate / rationalize their crazy behavior. It’s just basic human stuff.
Yeah, it was great. They really pulled out all the stops when it came to cinematic quality on that one. They also did a lot of second order things like marrying the scenes to the plot that a lot of games don't well or at all.
I really doubt that could override the fundamental supply and demand forces.

If hiring a finance "worker" will make my company $500k/year I will offer him $450k regardless of what Google engineers make.
Sounds like you might be more the target for the $3k 128GB DIGITS machine.
There is a specialized `@Vector` builtin for SIMD operations like this.
The Orin series and later use UEFI and you can apparently run upstream, non-GPU enabled kernels on them. There's a user guide page documenting it. So I think it's gotten a lot better, but it's sort of moot because the non-GPU thing is because the JetPack Linux fork has a specific 'nvgpu' driver used for Tegra devices that hasn't been unforked from that tree. So, you can buy better alternatives unless you're explicitly doing the robotics+AI inference edge stuff.

But the impression I get from this device is that it's closer in spirit to the Grace Hopper/datacenter designs than it is the Tegra designs, due to both the naming, design (DGX style) and the software (DGX OS?) which goes on their workstation/server designs. They are also UEFI, and in those scenarios, you can (I believe?) use the upstream Linux kernel with the open source nvidia driver using whatever distro you like. In that case, this would be a much more "familiar" machine with a much more ordinary Linux experience. But who knows. Maybe GH200/GB200 need custom patches, too.

Time will tell, but if this is a good GPU paired with a good ARM Cortex design, and it works more like a traditional Linux box than the Jeton series, it may be a great local AI inference machine.
Fab node size is not the only factor in performance. Physical limits were reached, and we're pulling back from the extremely small stuff for the time being. That is the evolutionary part.

Revolutionary developments are: multi-layer wafer bonding, chiplets (collections of interconnected wafers) and backside power delivery. We don't need the transistors to keep getting physically smaller, we need more of them, and at increased efficiency, and that's exactly what's happening.
You might enjoy "Black Mesa", HL1 remade with the HL2 engine. Played it during the pandemic. No Regrets.
The Amazon reviews for the H100 are amusing
https://www.amazon.com/NVIDIA-Hopper-Graphics-5120-Bit-Learn...
From the wikipedia:

“An open access study published in 2022 concluded that 75% up to 86% of the plastic pollution is from fishing and agriculture“

And also in that article it mentions you can’t really see or detect the patch yourself without specific tooling for it as the fragments are often quite small and dispersed. You can’t use satellites to see it either as such.
How many are h1b1?
What about installing the PWA of Meet using Chrome, and using Chrome only for that?
> content moderation is complicated, error-prone, and expensive

I think the fact-checking part is pretty straightforward. What's outrageous is that the content moderators judge content subjectively, labeling perfect discussions as misinformation, hate speech, and etc. That's where the censorship starts.
Which is 750$ in 2024 adjusted for inflation and you got a card that's providing 1/3 of performance of a 4070Ti at equal price range. 1/4 with 5070Ti probably.

3x the FPS at same cost (ignoring AI cores, encoders, resolutions, etc.) is a decent performance track record. With DLSS enabled the difference is significantly bigger.
> she greatly overestimates how free the press is (or was) just because she'd never had a point of view censored

I don't know if she had any illusions about it being completely free before, but the point is that it's clearly heading in the direction of "less free" as a direct consequence of corporate interests owning media and concerns about financial blowbacks from a vindictive president not against the news org itself but other companies held by the news org's owners. That is a huge problem.
No but you want one regardless
Do anyone know any tools (static or dynamic analysers) to automatically detect structures/classes they may be reordered to improve their packing? I think it can be quite useful or at least interesting
Speed of light in a medium is c/index of refraction, which is about 1.5 for every glass and highly transparent plastic.
I think when McDonald’s first opened in Soviet Union and Yugoslavia the problem was workers didn’t want to work that hard for that little money. Sort of like semiconductors in USA today.
What I really don't like about it is low power GPUs appear to be a thing of the past essentially. An APU is the closest you'll come to that which is really somewhat unfortunate as the thermal budget for an APU is much tighter than it has to be for a GPU. There is no 75W modern GPU on the market.
State of Digital Clutter Report
The universal theme of Her was the set of harmonics that define what is something and the thresholds, boundaries, windows onto what is not thatthing but someotherthing, even if the thing perceived is a mirror, not just about human relationships in particular. The relationship was just a plot device to make a work of deep philosophy into a marketable romantic comedy.
The Crazy Process of Testing Brand New Commercial Planes Before Selling Them [video]
Will you offer him $450k regardless of whether he would accept $250k because his next best alternative is offering $200k?
Big econ brained is thinking about whether the congestion pricing is approximately captures the negative externalities of traffic