skysight-inc/HackerNews huggingface dataset:
Agree, Copilot is a huge speed boost for stubbing things out, auto-generating the dead simple parts, and refactoring. ChatGPT is awesome for rubberducking, pair programming, brainstorming, and figuring out what that thing that you kind of remember is called. We aren't at the point where we can just say "robot, do my work" but it's for sure good enough to take care of the boring stuff and be a sounding board.
The much more likely outcome:

4. A ruling comes down that enshrines what all the big companies have been doing (with the blessings of their armies of expensive, talented, and conservative legal teams) as legitimate fair use
Onexplayer X1 gaming tablet with detachable controllers and Intel Meteor Lake
Here's something related that I've been wondering about: what if the client is from another country? Let's say the company is from the Netherlands and they are selling a service to another company in the US.

Which country's law should apply? Do they get a Dutch or an American lawyer? Is the contract written in Dutch or English (or both)? In case of a legal dispute, which court do they go to? Is the invoice in dollars or euros?
Well, I was maybe a little unfair because the competitors have at least partially “caught up”, but at one point, of Domino’s, Pizza Hut, Little Caesars, Godfather’s, plus a couple online pizza store SaaS used by smaller local chains, Domino’s was the only one that would interrupt me to make me click “no thanks” to some offer or other before proceeding, including during checkout. Multiple times per order, in their case—they’d do it once or twice in the checkout flow, plus sometimes after adding an item to the cart. I dropped them from the “oops we failed at getting dinner ready, what can be delivered and is cheap-ish?” rotation for a while over it.

They’re still the worst about it AFAIK but more of their competitors now do that at least once an order now, too, so the difference isn’t as large.
You might submit that as a pull request, assuming so.
At a guess: probably because the US has a notoriously onerous patchwork of alcohol distribution laws, and you don't want to get your food delivery service shut down in a particular market because you made a misstep with your alcohol biz.
This is literally impossible for the general case. There isn't a way to compress everything that an AI consumes down to the finite number of weights. That would represent a perfect compression algorithm, that is mathematically impossible.
> completely trust to turn my source code into machine code accurately

Say hello to undefined behavior :)

Appropriately enough, much of the reason undefined behavior is a consistent problem is exactly the same—it can do something reasonable 99% of the time and then totally screw you over out of nowhere.
Same as an LLM, they can be used in an illegal way if used to copy copyrighted material. So I can't tell it to reproduce a copyrighted work. But it can create new material in the style of another artist.
I downvoted because this sanctification of engineering (guild, not practice) is as tedious as the idea that credentialing is a silver bullet for software quality.

I've worked on enough projects with "real engineers" to see that rigor varies significantly with the person. e.g. I've seen a dropout with more engineering rigor than a Waterloo grad (granted, this was at a company with a very selective interview process...)

In practice, you do whatever and then pay a licensed PE with an absolutely massive liability insurance policy to stamp your design. If something goes wrong, they take the fall and go sip drinks on a beach somewhere.

As usual, incentives rule everything around us.
>>I'd be surprised if businesses are required to look into the R&D supply chains of their service providers

Agreed, this seems overly onerous, but now you're having to pay an(other) intermediary margin instead of hiring the remote contractor yourself, and possibly even at slightly higher rates because now the U.S.-based consulting shop has to deal with the 15 year amortization of their use of off-shore labour.
The erosion of institutional trust became much more widespread post Covid. As it should have.
In terms of interacting with smart contracts, yes. In terms of accessing data, no. All data on a blockchain is public and immutable, and that's the point.
I personally don't care if my work is used to train a large AI model.

It's also not inherently unethical to do things that someone doesn't want, because not all wants are valid or reasonable. A child may not want to have the candy put away, but it is still done anyway.
This article has no content so I’m responding to the headline.

If this is the case, then they wasted a lot of money. The general sentiment I get from most discussions around this is animosity towards Israel and calling their actions genocide.

Seems like their tactics are not working.
1 It doesn't mention that the problem is the charging stations at that location are broken.

2 It doesn't mention that there are equally dead and lined up ice cars at equally dead pumps.
I wonder what sort of interactions you have with people potentially so drunk that they possibly needed a re-up
Exactly, you just need to separate things that need to happen before snapshot from things that must be run every time. Then you just snapshot as part of the build.

This is how GraalVM and OpenJ9 achieve instant startup of Java programs.
> Whether it's learning how to play the guitar

I don't know about other topics, but it should still be pretty easy to find quality content if you want to learn guitar. Spend a couple of hours to find the channel that suits you best and stick to it.

Overall, there's still lots of great content on youtube, but you need to look it up yourself. The recommendations are useless and make you lose time, and the suppression of the dislike count makes it much harder to filter bad stuff. Also most professional YouTubers don't have much to say. They repeat themselves over and over.

Maybe someone should come up with a custom recommendation algorithm. Don't know if that's doable.
IPFS is entwined with (and pretty much 100% backed by) Filecoin, which is a blockchain. Introducing a point of incompatibility would be a nonstarter.
Not just greed, they want to silence copyright holders whose works they freely use and at the same time prevent others from using theirs. It is like having different set of rules for them. I don't believe training itself is ruining anything, it is the proposed model of value capture and marginalizing content creators that poses greater threat.
But is there any other value than storage? If I have excess storage to rent to people, I get coins I can use to rent storage?
I think schools in the U.S. should be better given how much we are paying for them, but the "ruins kids" assertion is quite exaggerated. During covid we experimented with closing schools and offering virtual schooling, and test scores for core subjects such as reading and math fell substantially.

I do think fewer students ought to be enrolled in academic high schools.
Show HN: Agora, alternative to Colab for AI/ML devs
Hi HN! We’re excited to introduce Agora, a GPU-backed Jupyter Notebook environment for AI/ML development. Agora aims to solve common problems with traditional solutions by:
1) sourcing the cheapest, high-performance compute in the world
2) creating a user-friendly way to use it for building in AI.

Link: www.agoralabs.io

Anyone can begin using Agora in three steps.
1) Create an Agora Lab with your custom GPU specs
2) Mount your Google Drive for storage/uploads
3) Launch JupyterLab instance to get to work!

We created some cool features to make using Agora frictionless and compatible:
- Ability to connect Google Drive & upload existing Colab notebooks, datasets, models, etc.
- Source cheap, high-performance GPUs from decentralized networks like Vast.AI and Akash Network.
- Built-in profiler so you know when you're getting close to running out of VRAM.

We’re a team of three students; we tried to fine-tune Llama a few months ago & realized we needed GPUs. All of our work was on Jupyter Notebooks/Google Colab, but the dreaded OOM errors made them unusable. Paying for the Colab Pro version didn't get us access to high-performance compute like we needed, and renting GPUs from cloud services quickly became too expensive. We’ve seen a ton of AI/ML development start with notebooks (much of our own has), only to become stunted by compute and performance restrictions. We built Agora to solve our own problem and hopefully do the same for many others.

People have been using Agora for sandbox-style experimentation work, like fine-tuning models for different tasks, testing various Agent frameworks, speeding up embeddings for personal notes, and more. With inspiration from Colab and Sagemaker, we built Agora with the close input of hackers and engineers. We welcome anyone interested in trying it out and would love to receive any feedback!

[1] Link: https://agoralabs.io

[2] Docs: https://docs.agoralabs.io/introduction
Did you pay for the video proportional to the value that you received? Most people don’t, so why expect the services to not get worse, and be forever subsidized by another cash cow?
Not sure if this is a spooky coincidence, but I happened to be reading the Rust 1.75.0 release notes today and fell into this 50-tab rabbit hole: https://github.com/rust-lang/rust/pull/113053/
If we're discussing the current situation, where ChatGPT is outputting entire articles of NYT copyrighted content, then it certainly matches say, Bittersweet Symphony containing a small sample of a Rolling Stones song resulting in the Stones getting credit for the entire work.
The goal is to cover their asses for when data is stolen. It’s not a matter of “if”, it’s “when”, and they want to be able to point to every obnoxious POS practice they made standard to show they did their best. I’m not making any comments on whether this is good or bad, just that it, to me, explains a ton of the n behavior.
Securely-generated unique links aren't security by obscurity at all - They are literally the same as any password or private key being unique and high entropy. The security problem is inherent with any data that is shared widely.
Even CostCo is 110% in on selling overpriced "supplements" to an ageing, afraid, and underinsured populace. Surely this industrial quantity of random pills will fix me!
Since it's too late to edit, Java docs say:

>The maximum number of platform threads available to the scheduler. It defaults to 256.

Yeah, that's pretty small. >256 simultaneous synchronized calls doesn't seem particularly extreme, given how common its use is.

Tho now I wonder if you can just set this to max-int and resume like normal, or if giant values do awful things internally...
Hard disagree. For a moment there it wasn't clear if there was going to be a hard Python 2 vs 3 fork and people would literally refuse to migrate to 3. There was never such a moment in Ruby. The migrations from version to version were relatively smooth except 1.8.6 to 1.9 MRI -> YARV
Because if you are honest and tell people they only have to wear a mask if they are sick, nobody would wear a mask.
Code has licenses too. And we've had very high profile lawsuits based on "copying code".

>what about if we eventually robot labourers that is trained on observing human labourers?

Interesting point, but by that point in time I don't think generative art will even be in the top 10 ethical dilemmas to solve for "sentient" robots.

As it is now, robots aren't the ones at the helm grabbing data for themselves. Humans give orders (scripts) and provide data and what/where to obtain that data.
Yeah, I guess, I'm falling behind the times. I've never used, nor have I ever met anyone using Chrome OS or Steam OS. What are they for?

I hate Android with a burning passion. I pray for a different OS for mobile phones that's actually not as user-hostile as Android (well, MacOS is even more user-hostile... so that's not going to work). I don't think most Android users use it because the like it. There's not much of a choice there.

> Imagine your non technical family members install some application that pulls in 100 dependencies one of which breaks the next Ubuntu upgrade..

I have non-technical family members who use Ubuntu. They had some old laptop that couldn't run Windows anymore, and so Ubuntu was an easy solution to that problem.

So, here's their situation:

1. They don't update anything. There's really no reason to. What they have there works fine. It will break, eventually because of the drive to change and discontinue things unnecessarily, but it will take years. It's unlikely that the laptop will survive that long. And even if it does, they'll just ask me to fix whatever their problem is.

2. Guess how I know about Snap!? Hehe. So, apparently, Ubuntu for desktop comes with this... "feature". And of all things they decided to install Firefox as a Snap package. And of course it's broken. And of course there's no easy way to fix it, while retaining Snap. The easiest and most reliable way to deal with it is to get rid of Snap altogether, and to install from Mozilla's PPA. Precisely because of the difficulties with upgrades.

So, yeah, theoretically non-technical users might run into the situation you describe. But you kind of forgetting that upgrade-induced problems is more of a Microsoft thing, where they force upgrades on their users and eventually break things. It's the Microsoft world where users constantly have to deal with broken updates. If you are a Linux user, you might just live happily with whatever you've installed 5+ years ago and just enjoy your life.
> They are not human beings and they do not participate in the social systems of human beings the way human beings do.

Your original quote was not using the impact of the technology, it was disparaging the algorithmic source of the inspired work (by saying it does not participate in social systems the way humans do).

> I think a major distinction though, between and LLM and, say, a paintbrush or even a text-editor, or photoshop, is that these tools do not have content baked into them

LLMs, despite being able to reproduce content in the case of overtraining, do not store the content they are trained from. Also, the usage of "content" here is ambiguous so I assumed you meant the storage of training data.

To me, the content of an LLM is its algorithm and weights. If the weights can reproduce large swaths of content to a verifiable metric of closeness (and to an amount that's covered by current law) I can understand the desire to legally enforce current policies. The problem I have is against the frequent argument to ban generative algorithms altogether.

> The use of a different paintbrush, by the same artist, with the same pictorial intention may produce slightly different results due to material conditions, but the artist is able to consciously and partially deterministically constrain the result.

I would counter this by saying the prompts constrain the result. How deterministically depends on how well one understands the semantic meaning of the weights and what the model was trained on. Also, as a disclaimer, I don't think that makes prompts proprietary (for various different reasons).

> I think this is a key difference in the "AI as art tool" case. A traditional tool does not harbor intentionality, or digital information

Assigning "intent" is an anthropomorphism of the algorithm in my opinion as they don't have any intent.

I do agree with your last paragraph though, one (or even a group of) individual's feelings don't make something legal or illegal. I can make a moral claim as to why I don't think it should be subject to constraints and laws, but of course that doesn't change what the law actually is.

The analogies are trying to make this appeal in an effort to influence those who try to make the laws overly restrictive. There are many laws that don't make sense and logic can't change their enforcement. The idea is to make a logical appeal to those who may have inconsistencies in their value system to try and prevent more non-sensical laws from being developed.
I can’t even blindly follow it. The last two or three times I’ve tried to use Google maps for directions, it has redirected me through walking trails and bike paths. Each time I closed it and just used Apple Maps to get where I needed to go.
I think that doesn't apply here because TFA doesn't care about interactive shells.
I gave up on Google a couple of years ago. I used DDG for a while but often had to jump back (!g) to Google for some things.
Now I pay for Kagi (been a year or two) and there’s no going back for me. I hardly ever even need to scroll down to find what I need, it’s just there. Saves me so much time.
That’s probably the least likely scenario. ChatGPT isn’t known for grammatical errors.
Undefined behavior is a defined thing, you know about it so you can avoid it if you want, or look up what the compiler you use does in that case to see if it is useful to you. No such thing for a black box AI model.
> Who cares if they're getting value out if it.

Perhaps your artwork has an anti-capitalist message, and you do not want it to appear anywhere near an Ad for the latest beauty cream.

In the early days of the Internet, there were places to promote a webcomic with no commerical interest, like usenet and forums, and it was typical to visit an artist's website directly.

These days, the average new Internet user might not even be aware of the concept that an artist can have their own website, and own the user experience of visitng that website from end to end. Web design in the early 2000s had a lot of creativity and easter eggs built into the experience of navigating the pages themselves.

An artist absolutely has the right to not want to upload their creative work (which takes days and weeks to produce), onto a bland social media site with it's own terms and conditions with regard how that content is treated and monetized.

Places like Instagram are bleak compared to what was pushing creative boundaries of the web in the mid to late 2000s. Sure, there are still fun websites like this but they are difficult to find (what happened to StumbleUpon?)
Which one of those has killed the most civilians since 2003?
About Airplanes.live
It can be rude/unwise/dangerous (depending on the target) to run a scanner on somebody else’s public IPs.
This is a 7B parameter model at int4, lots to play with!
Wow, that's cute! And it has a (weirdly written in the specs, but I'll reinterpret based on images) 160x40 color screen connected over 4-wire SPI. That means it can be fast, and having a full keyboard and a decent CPU means ... there will be games written for this. Cool!
Well, yes (I also use Apple Pay when it’s available—best overall experience by a long shot) but it’s still quite fast and often involves no typing or copy-pasting.
By giving the model away for free?
743 x:

- Addresses that are wrong

- Passwords stored (probably insecurely)

- Other personal data that can be stolen

If they "need it", they can be granted access to it (or a personally encrypted copy of it unique to them). Of course they can (and likely will) mis-manage even this data; Zero-Knowledge Proofs and Homomorphic Encryption should be used instead, where possible.

Remember, Public data written by an Agent are written to the DHT and are persistenly available, so "upload and decrypt" isn't really usually a thing in Holochain hApps.

So, if they want to make some non-repudiable claim under the auspices of "my account" (ie. claim agency on my behalf over some change of state, such as a "post" under my name, ...), then they can bloody well get me to sign such a state change with my private key. And, make all such data publicly available so that I (by my sole decision) can cease to use their service and take my data elsewhere.

Remember -- these are "randos on the internet" holding your data. Hundreds, or possibly even thousands of them including all the partners they sell your harvested data to, who are evidently incompetent in managing/securing it, and certainly don't care a whit about you and the sanctity of your data.
I've seen at least 6 such papers, all being like "<popular architecture> are actually <a bit older concept>". Neural networks are generic enough that you can make them equivalent to almost everything.
The only way I see this working with out current economics and IP law is if the people training models license the work they are using. And a traditional license wouldn't do, it would have to be one specific to training AI models.

As to the question of worth, obviously OpenAI's models have value without the training data. Just having a collection of images does not make a trained AI. But the total value of the system is a combination of that model and the training data.
> It also regulates a lot of other words, like “ketchup” and “ice cream”.

It shouldn't.

> The government regulates what “12 fl. oz” means when you buy a can of root beer, and regulates exactly how the number of calories should be printed on the wrapper for a chocolate bar.

This is reasonable regulation.

> I’m glad that this isn’t the Wild West of snake oil salesmen like we had back in the day. People used to really get hurt! I think more of these regulations would improve the situation even more—herbal supplements, for example, should be labeled with the quantity of ingredients more accurately—right now, it can be a bit of a crapshoot due to the variations between vendors or even between different batches from the same vendor.

As long as true information and real medicine are available, it won't be "the Wild West of snake oil salesmen". And that should be the focus here, rather than attacking or regulating false information. Meanwhile if people choose to buy shit on InfoWars or venture down the homeopathy aisle at CVS, we should roll our eyes but let them be.
When you inject $4tn out of nowhere, stupid stuff happens.
If you are using the presence of differences not related to ours in other species as proof that our common differences in our behavior is biological, then it's going to be uphill from here.

Animal behaviors are all over the place. E.g., lionesses being the hunters, female apes reversing their rear ends into the faces of every male in the group until one bites, birds where the male is usually responsible for the chicks, female insects being much larger and eating the male, female fish absorbing the entire male to become a permanent part of their body, and animals that can change their sex at will. Unless you feel a need to groom your friends fur for bugs to eat, I wouldn't use other species as models for human behavior.

---

There are biological differences between the sexes, but when both sexes exhibit same behavior and preferences (even if numbers differ) despite positive enforcement of stereotypical behavior and preferences, then that is pretty conclusive evidence contrary to those being biological in nature.

The differences will at most, introduce a bias in the distribution. Similar to the other arguments about sports.

---

Now, as a fun exercise, try reading just these last two paragraphs between the lines, and see how the snarkiness at the beginning of my comment added nothing substantial but just detracted from the argument, making you upset and unreceptive from the start. This was the same I was trying to (but failed) to exemplify when I copied the format of your previous comment. Right or wrong, it doesn't help get a message across.

Either way, that's all from here. Have a nice day.
The employ at least one moderator. That’s not peanuts!
That is indeed the most common stance. There isn't nearly as much outcry over, say, image classification by LLMs, as there is over AI "art" generation.