skysight-inc/HackerNews huggingface dataset:
No, they're definitely assigning the colors to the pitch class. It's not relative to the tonic of the key. I remember that being a stumbling block for me, because I like things that are independent of key. But, no, a C major triad is most certainly orange because C is yellow, and E and G are both red.

I ultimately made peace with this because the greater goal is to break you out of the key prison so you can learn to move anywhere. In this light, it makes sense to assign the colors to the pitch class.
So it helps you cheat on interviews?
Can you expand upon the destruction of the value of all human labor by OpenAI and friends? I just don't see the logical steps from LLM trains on copyrighted data to human labor has no value.

Certainly you can make the claim that some forms of labor could have less value, like maybe in the future AI/LLMs become good enough at image generation that concept artists are replaced with a different job role that uses them to produce concept art.

But all forms of labor? Building a house?
Strange to talk about revenge here, which implies that regulators have been hurt and now they are striking back. They are simply doing their job which includes sanctioning rule breakers.

Notably, the rules are defined locally and companies usually know that local law applies.

As for the “renegade judge”, his ruling just got confirmed by his Brazilian Supreme Court colleagues, so this is not exactly “an individual who rejects lawful or conventional behavior”. https://www.merriam-webster.com/dictionary/renegade
Can someone help me understand why it's a problem for companies to train these huge LLM on your copyrighted material? What exactly is the harm that is being done to the copyright holder?

I can understand why the New York Times (for example) wants to claim that a couple billion dollar companies have done it actual harm; but I am struggling to actually identify what it is.
Revolutionizing Image Upscaling: Deep Dive into Adima AI's 64K Resolution
Hello Hacker News,

I wanted to share some details about Adima AI Image Upscaler, a tool designed to address the challenges of high-resolution image processing. This tool leverages advanced AI techniques to enhance image quality while scaling up resolution.

Technical Highlights:

Scalability: Adima AI can upscale images from 4K to 64K resolution. This capability is achieved through sophisticated algorithms that maintain image integrity at high magnification levels.

Noise Reduction and Processing: The tool includes features for noise reduction and batch processing. It applies various filters to optimize the quality of upscaled images, which can be particularly useful for tasks involving large datasets or multiple images.

AI Model: The underlying AI model has been trained on diverse image datasets, enabling it to handle a wide range of image types and content. This approach aims to preserve detail and minimize artifacts that are commonly seen in traditional upscaling methods.

Implementation: The software has been built with a focus on both performance and usability. It integrates a user-friendly interface with robust backend processing capabilities.

I’m interested in any feedback or insights from the community, especially regarding the technical aspects and potential applications of this tool. If you're involved in image processing or have experience with similar technologies, your perspective would be valuable.

Best, Juek
The thesis seems understandable to me from the title, but I couldn’t tell you whether we should believe it or not. I assume the content of the book provides evidence and justification. I assume, because I haven’t read it either.
3 rounds?? I got the original strain that went thru the US - I've only had it once. I just blood test done not too long ago and I still have measurable antibodies 3 years later, a low count - I'm due for a booster but I've never been vaccinated.
Location: Europe

Remote: Yes

Willing to relocate: Yes

Technologies: Python, R, SQL, AWS, Azure, (managed) kubernetes, serverless, Docker, Terraform, CI/CD (Azure Actions, Github Actions, Bitbucket, GitLab), ElasticSearch, MLOps, LLMOps, PyTorch, Scikit-learn, Dagster, Prefect, Flask, FastAPI, the modern LLM stack (?) incl. Langchain/Llama-index/haystack/instructor/... (although I don't recommend the first 2), modern data stack (duckdb, airbyte, dbt, great expectations, various managed cloud services, ...)

Résumé/CV: DM me

Email: aiwork.unified197@slmail.me (alias, feel free to DM)

AI/ML engineer/architect with 6 YOE building and scaling production-grade AI, cloud-native systems. Expertise in full AI lifecycle, MLOps, and leading multidisciplinary teams in developing greenfield AI products.

Notable achievements include:

* Deploying LLM-powered products and RAG systems for enterprises with millions of users driven by transformation of business process, investment into and revision of information architecture, and use of proper mature tooling, rather than fancy agentic workflows that just don't work today

* Frequently ramped up quickly in new business domains to find pragmatic simple algorithms rather than complex, expensive AI solutions, working with C-suite, domain experts & engineers to drive value, e.g. 20x actionable leads for sales teams by using public data

* Productised AI-powered solutions with reliable XXMEUR impact across AI domains (computer vision, vision understanding, nlp, llms, time series, classical statistical modeling, audio generation & transcription, ...) leading multidisciplinary teams with minimal budgets

* Helped establish a neuroscience center of excellence, significantly impacted AI & corporate strategy at large enterprises, influencing international policy & strategic partnerships

I'm looking for opportunities to go full founder mode and build AI-powered systems to do good and can bring many different angles to the table.
Is that true?

I thought super-long-lived trees tended to have special biological optimizations to persist over centuries.

E.g. https://www.nps.gov/parkhistory/online_books/shirley/sec6.ht...
Training on all my work so you can generate my work and thus replace me is not fair use. If you think this argument is one salty software engineer yelling at CloudGPT, I'm sure Disney and every other media company feels the same way.
afaik, it depends on if the org you're donating to is a registered tax-deductible non-profit. I've personally never been able to deduct donations to individual open source maintainers, even if the donation was in the thousands, but maybe I just need a new accountant.
I don't see why it would qualify as fair use.

OpenAI are building a product to offer to the public for profit.

If I employ 10,000 humans to read books and provide summaries or texts "inspired by" those books, I need to pay for the copies of the books those humans read.
People don't like it when you burn nuclear waste, burning windmills isn't very effective --- at least not the modern metal ones, and solar panels are going to be toxic if you burn them. :P
Yeah, I think there's a possible pitfall with using this as an interview technique though.

When you're in a real situation with a customer or user, you ask tons of questions. You use a lot of common sense to figure out what they really want, what's actually important, etc.

But often times these interview questions -- like how many vacuum cleaners in a city -- don't need any further questions asked. The idea that you'd count vacuum cleaners in landfills, or dental suction devices, is just silly. In real life, if someone wanted to know about the vacuum cleaners in landfills too, they'd tell you in the first place.

If an interviewer wants to see if someone can ask clarifying questions, they'd better come up with a scenario where it would make sense to ask them in a normal conversation. Scenarios that are genuinely ambiguous to anyone with common sense.

Otherwise interviews become this weird cargo-cult thing where you have to learn that interviewers present common-sense clear questions, but you have to ask silly clarification questions that you wouldn't in real life, just so somebody can check a box that you asked questions.
This reminds a bit of a project I coded the audio for an art exhibition around 20 years ago, which was for multiple simultaneous players. As the game got more intense it became apparent that the ball/wall sounds were playing music, and that the three players were all actually playing one musical piece.

It was based around 3 arcade cabinets pointing together, so the players couldn't see what was on each others screens.

This was achieved by modifying the ball speed/direction slightly so that it arrived at the bat/wall at a musically relevant point and triggered the correct sound.

Ah, here you go, Josh as a reference to it on his site: https://www.autogena.org/work/ping
Go tell that to most "viral" copyleft licenses, as they rely on copyright to enforce the viral parts.
As someone whose background is primarily in embedded systems, how common are single tenant SaaS architectures?

The only webapps that I've released commercially were all intended for internal use by a single customer, running on their private hardware, with usually only a single login, so I'm about as far from this space as you can get and still be a dev...

I was always under the impression that most SaaS was multitenant, with the individual tenants sharing tables, but being disambiguated by customer ID. Am I that far off?
0.01cm is a much bigger distance than I would have guessed.
Adima Upscaler : https://www.aiimageupscale.com/ai-image-upscaler-pc
I'd like to frame this another way. OpenAI is saying they can't survive without copyright owners consenting to use their property to make OpenAI money. And honestly, if your business model is dependent on that, then that's your problem.

We can argue over whether you should need consent or not, but personally I find nothing wrong with someone being unable to use things I've created to make a buck without my permission (unless otherwise indicated by an explicit license).
I appreciate your perspective, but have to disagree.

(Some quotes below are from your child comment, but I wanted to respond to all of them in one place)

> Everything else is on the OP trying to game their system and screwing up.

I was attempting to use the free trial as designed -- a few days free, and then (if everything goes according to expectation), begin paying. Not sure how that's gaming the system, unless you feel that signing up for a yearly trial with the likely outcome of switching to monthly billing is "gaming the system." I would call it taking them up on their offer.

> The billing being slightly early seems like the only thing vimeo have done wrong here.

I'm glad you agree this was wrong. I live month-to-month, and their billing error could've been quite catastrophic for me. It brought my account below my monthly rent, which is due in a few days, certainly before I would get any sort of refund from them. Yes, this is not a good way to live, but it's my financial situation at the moment. Luckily I was able to get Venmoed the $240 from a family member which I instant-deposited into my bank account. I'm incredibly fortunate to have that privilege. Having a $240 charge pulled from your bank account sooner than agreed upon is a big deal for a large percentage of the world.

> doesn't rise to "predatory" in my book

Understood. In my book, it's predatory to offer a free trial for hosting content, and then when someone wants to switch from annual to monthly tell them the only way to do that is to have a lapse in the hosting.

Imagine you built a web app. You decide on a host, and -- oh look -- they have a free trial! Awesome. You sign up for the trial, give them your credit card info, post your website to Show HN.

People are visiting the site! You're rising on Show HN! Comments and the whole lot.

As your trial nears the end, you try to change from yearly to monthly billing. You find out the only way to do this is to... email support? Okay I guess. Let's give them the benefit of the doubt.

You reach out to support. And they inform you that you'll have to let the billing lapse in order to do this. When it lapses, the website will go down.

You're rising on Show HN, people are engaging with the site, and now you have to face the idea that hundreds of people will see a dead site... UNLESS you just pony up and pay the yearly fee. Now you're weighing paying more, or having your content disappear for a percentage of your visitors.

To me, this is clearly designed to force you into yearly billing. If that ain't a predatory practice in your book, I can accept that. We'll just have to disagree on the definition of predatory.

> they simply never bothered to build something to handle this extreme edge case

Again, I can accept you think this is an extreme edge case. I think that switching from yearly to monthly before your next billing cycle must be somewhat common, especially on a service as popular as Vimeo.
I'm all for diminishing copyright power, but it has to be done for all. Besides, how are you going to keep that carve out from letting everyone use AI as a giant copyright laundering scheme? Does that mean piratebay could have saved themselves as long as they claimed their list of torrents is for "training" only? I guess that's effectively what all datasets being used for those high end LLMs already are...
If the EU wants to arrest someone they can submit an extradition request which the US will approve or deny after reviewing. The EU can also already arrest individuals whom are found to be criminals.

You are suggesting a totally new weapon for EU law enforcement which is to imprison individuals who are not found guilty of a crime because they work for a company that owes the EU money. That sounds a bit insane to me, I think if the EU wants to collect their fine they should find a more diplomatic approach that does not equate to a literal war crime [1]

[1] https://en.wikipedia.org/wiki/Hostage
Not just making money, but making more money than they did last year, forever.

Like a company can't just be cool with the fact that they serve a profitable market niche and gainfully employ people. Investors need capital gains and won't just be satisfied with getting reliable dividends!

Stock buy backs ruined corporate governance...
wait, so if WordPress is migrating 500M blogs to Wordpress[1], does this mean essentially we'll have easy access to all tumblr blogs' history?

[1] https://arstechnica.com/gadgets/2024/08/tumblr-migrates-more...
Login to try a website? No, thanks.
>> Your support and the passionate community that has grown around the game has meant the world to us.

"so we're shutting it down"
Only after you've set up the keyboard layouts. Most computers won't have your favourite layout set up and ready to go.
> 30M SLOC in the Linux kernel is largely stuff like device drivers, autogenerated headers, etc.

And? These drivers matter otherwise you have Haiku, Redox, etc OSs that seems promised to an "eternal" beta status because they have to reimplement these drivers..
There are tons of indie shooters that sold way better than this game, saying this didn’t sell well because of a saturated market is just being dishonest. Read the actual reviews for the game and the reason it did poorly is glaringly obvious. The answer is not politically correct but it is true nonetheless.
Oregon is a lot closer, and they accept a lot of trash from my state by rail. No need to put it on a boat.
> I think it is important for America and Europe to take the side of using copyrighted works for LLM is fair use/not illegal. Advancement in this space in the west will be hindered otherwise, and nations that don’t respect IP law will have enormous advantage.

You're assuming LLMs are an enormous advantage. But they could very well end up being an over-hyped dead end, like blockchain, and avoiding them ends up being neutral or advantageous to the nations that do so.
This would probably be a good place to suggest to others here to track which accounts you've logged into via Google or other social media oath.

I just had to log into stack overflow for the first time in years, and did not remember what I used to previously log in. Once I figured it out that information went into Keepass too.
I use the reward system with a slight twist:

I'm not allowed to start a new project until I complete my current one.

Since I have a huge backlog of ideas, my "reward" for finishing a project is that I get to work on the next most exciting idea. Yay!

This forces me to keep the scopes small.

I'm allowed to rescope my current project to something smaller/imperfect after I've started (for example if I discover that my initial vision is going to take too long), but I still have to finish it before I'm allowed to start the next one.
> The police usually asks for the owner’s permission to access their Tesla’s Sentry Mode backup USB drive which is located in the glove box, and download the desired content. However, if the owners can’t be located, officers obtain search warrants and tow the EVs into evidence.

Why don't the cops get a search warrant for that USB drive and take that rather than confiscating the entire vehicle of innocent people?
Upcoming breaking change: Hidden Files will be excluded by default
Github pushed a breaking change in minor version to actions/upload-artefact that broke thousands of CI workflows. People are angry.
The value of all human labor does not come from copyright.
In other news: burglar says he can't make money from his burglary skills without stealing, and pleads that the laws against theft be repealed.
This is what I've done on every PC I've used professionally since 2002. Tweak OS setting, start typing.

Mixing keyboard layouts works well on Windows 10+ or macOS. Remote Desktop problems were a thing with WIndows XP, but I can't remember having problems more recently.
Possibly because companies using AI don't train them on copyrighted material simply for research or the public good, but to turn a profit on content generated by those models, and often explicitly in the style of the creators of that content.

It's difficult to argue that, for instance, training a model on all of Frank Miller's work then prompting it to generate comic art in Frank Miller's style then selling that is fair use.
It's a shame there's not a YC like incubator for tech worker coops, cut out the VCs and have milestone based funding in exchange for a percentage of future profits that would be reinvested in future projects.
Nobody would train a huge model unless they wanted to use it. So I can understand concerns about training, even if the process of training alone does not produce content inspired by the training materials. People with copyright concerns rightly predict what the next step is going to be after the model is trained.
Help Finding LLM and Proof Based Refactoring Reference
Recently on HN I came across an LLM paper achieving impressive results on SWE-bench refactoring tasks. In addition to generating the refactoring, it also created a formal proof of equivalence in a special DSL. Now I can't seem to find the paper!

So far, I have scrubbed the HN SWE-bench articles from the last 9 months, and tried Google scholar searches for LLM based refactoring with Proofs or DSLs. I am confident that they mention SWE-bench in the abstract, but it does not seem to be mentioned in the HN announcement. I don't remember if it was a custom DSL, or if they used a well known verification language. There's a chance they did not call it a DSL.

Closest matches so far:

1. https://arxiv.org/pdf/2305.17485. Generates refactorings with proofs for a simple prolog-like language, but does not generalize to SWE-bench tasks

2. https://arxiv.org/abs/2407.21787. Filters hundreds of DeepSeek-V2-Coder-Instruct solutions to get 56% on SWE-bench Lite, but does not use equivalence proofs

3. https://arxiv.org/pdf/2402.08699. Uses round trip error with a neural equivalence heuristic, but does not generate equivalence proofs

4. Generates controller and predicate code from a Temporal Logic spec in TSL, but does not generate the TSL spec or let us refactor code.

I appreciate any help!
What other laws do you think we should ignore so that we can ensure we continue to be dominant in this or other fields?
Assume they know their kids are a distraction (the implication that they might not makes me cringe a little) and they still want to participate. How much is that a burden we share vs a right parents have to fight for and can be denied?
I had a friend who developed the same schizophrenic symptoms described in this article, and responding with any kind of acceptance was difficult when he was starting to threaten and act against people who he imagined were after him.

Last I heard he's doing much better after getting psychiatric help.

I'm all for exploring new treatment modalities but IMO this article downplays these symptoms as harmless beliefs when in reality it can get quite dangerous for those closest.
Landlock: From a security mechanism idea to a widely available implementation [pdf]
>OpenAI are building a product to offer to the public for profit.

So was google books.

>If I employ 10,000 humans to read books and provide summaries or texts "inspired by" those books, I need to pay for the copies of the books those humans read.

IANAL, but that would be perfectly legal. Summaries aren't copyrightable, and if you can acquire the book free but legally (eg. library, borrowing from a friend, buying it from a store and then returning it), there's nothing the publisher can do.
This seems pretty messed up on a couple levels. Yet another way we're all being surveiled with the addition of getting your property randomly confiscated.
>But someone who hears good voices, someone hearing voices who encourage them, or tell them to do the right thing, or calming and comforting voices: that is natural, and that should never be discouraged.

I'm not sure that's natural or desirable. It still leads to a situation where you may be following what you consider to be 'good voices' to do things that aren't necessarily in your best interest.
Not the OP, but if general copyright lasted for 20 years and you had to pay (even a small) fee for prolonging it after that period, the public domain would expand massively and abandonware + orphaned works would stop being a thing.

And the very few lucrative works would still be protected, because their copyright holders would pay the fee.

The tragedy of current copyright is that there is an enormous mass of copyrighted works that is a) commercially useless or nearly useless, but b) still copyrighted, so other people cannot build on them.
The supposed triviality of this size is not sitting well with me.

What’s described is a 100 yard deep hole. So about 27 stories. It’s 35 miles per side, so 35 x 35 = 1225 square miles in area. That’s bigger than any city in the mainland US[1].

It’s a 27 story deep hole that’s twice as big as Houston. Three times as big as the city of LA, and over half the size of the urban metropolitan LA area[2]. Four times the size of New York (or three times, if you include the water as well as the land).

This is not a trivial amount of land - and it gets worse if you were not to have it be (ridiculously!) one hundred yards deep.

I’m not arguing we’re about to run out of landfill space imminently, but calling this ‘trivial’ is not what I’d call it.

[1]: https://en.wikipedia.org/wiki/List_of_United_States_cities_b...
[2]: https://en.wikipedia.org/wiki/Greater_Los_Angeles
So big corporations love copyright laws when they can use them to make enormous profits - but then want exemptions when the exact same laws don’t allow them to make enormous profits. Welcome to the world we get when we let rich arseholes make all the rules.
They don't generate new content that convinces people it came from the sources they trained on.

The entire business model is "we trained on their stuff, pay us, not them." No way that's fair use.