skysight-inc/HackerNews huggingface dataset:
If AI is your focus I would say learn Python and how to interact with it via Jupyter/ Colab. And once you feel your skills are good then go for learning how to use pandas, numpy and scikit learn on data out there. From there the NN and other stuff should be more graspable. This is my personal experience with python and machine learning. I know several other programming languages but relearning the math and how things work is the big challenge with machine learning.
That was true before calculators too. Correlation, causation.
Docker engine uses containerd to run containers. Containerd was born from Docker company. Containerd is probably the most popular runtime for Kubernetes. GKE uses containerd as well.

Docker hub is absolutely the most popular registry for open source software and configured as default address for kubernetes.

Nothing of it is irreplaceable for sure. But Docker made a big contribution to container world, regardless.
Thanks. The submission url is "Poisoning the Honeypot Download Logs"
Very good question indeed.

A lot of these questions are somewhat ethical/moral in nature. E.g. is it okay to take someone else's creative work, process it through some algorithm, to create a service like ChatGPT? Or a compression algorithm? I don't know.

It's awesome to see the Copyright office request input from both sides of the argument.
It's rare but with enough traffic volume eventually most things happen, eg:

on a highway with no physical divider a car executing a poor overtaking procedure can pull in sharply after passing and violently "pit manoeuvre" the vehicle just ahead of it, causing that vehicle to spin 270 degrees and present the drivers side to oncoming traffic.

Rare physics aside, a highway t-bone by an oncoming truck on a turning car is enough to cause fatalities and destroy a car regardless of which side presents.

That said, in Australia country roads are far more dangerous than city streets:

It found the per capita road death rate for regional Australians in 2022 was 10.6 deaths per 100,000 people, while the corresponding rate for urban Australians was 2.24 deaths per 100,000 people.

which is likely also true in the US.
Speaking of way-out theories, I always thought the (almost certainly wrong) ape-pig hybrid origin of humans was an interesting theory: https://skeptics.stackexchange.com/questions/34279/are-human...
We can have nice things in multiple languages.
Whether or not “humans do it” isn’t relevant. You can walk around with a copyrighted song in your head. That is not copyright infringement. But if you take that song, create a digital copy, and distribute it for money, then you are violating someone’s copyright. Additionally, our legal system requires a balance of probabilities. It’s hard to prove that someone was influenced by another work unless the similarities are plainly obvious. The same does not apply to ML models where the training data and algorithm are knowable facts.
The statistics show that "[m]ore than 50 percent of the combined total of fatal and injury crashes occur at or near intersections", at least in the US.

https://highways.dot.gov/research/research-programs/safety/i...
>Nushell is trying to answer the question: "what if we asked more of our shells?"

well apparently one thing you should not really ask is "can you activate a python virtual environment?". I tried out nushell for the first time a few months ago and that was the first thing I ran into which apparently is still causing issues after four years[1], which to me doesn't really inspire confidence that this is a practical tool for people who want to get regular dev work done

[1] https://github.com/nushell/nushell/issues/852
> I often have a hard time finding or understanding the docker-compose equivalent of a docker CLI command or flag.

This site might help: https://www.composerize.com/

Also you can also run that site in docker.
You can "hand paint" in Photoshop, but you can also assemble collages composed of bits and pieces of other copyrighted works and create a result that is still copyrightable. Why is the latter currently legal in your opinion?
Until you have a better system, sure. It's not burned, just put on ice.
Should be more than sufficient to hop supercharger to supercharger, which are rarely ever more than 100 miles apart (small gaps in rural Wyoming, Montana, Nevada, and Texas panhandle aside, which should be getting stations soon).

https://supercharge.info/map
Small time creators don't make money anyway. Starving artists and all that.
> But if the NYPD is really "unaccountable" to the NYC government, well, that seems like a ripe situation for the Feds to step in because the local government has lost control. A PD which isn't accountable to its elected government isn't a PD; it's an armed gang.

We're in agreement!
How does the Boeing 787's no-bleed system architecture reduce fuel consumption?
The really abhorrent thing here is how absurdly difficult it is to fly a drone commercially in NYC - and the NYPD is going to fly them at night beyond line of sight.
> The alternative seems to be “anything goes”.

Seems like a huge false dichotomy. You really can't imagine anything in between total shutdown of AI training on public data sources and no rules at all?

I think we should try a bit harder for a middle ground.
> why isn’t this publicized as much as the USA advisory?

Why does media, etc., give more attention to the USA advisory?

Have you…looked at a map, for starters?

~400k people cross the US-Canada border per day.

There’s not that level of travel between Canada and any of the other countries on that list, by several orders of magnitude.

That’s why a travel advisory, in either direction, between US & Canada is phenomenally more significant.
It is, but if you get it wrong, you can really screw things up. Not trying to get it right is not engineering, and just hoping you get it right is not trying.
Why would you want that? What is "clearly harmful" in your view?
2 questions: Will these models still be eligible for the $7500 tax credit, and what will the Performance version be like?
"Public thinks homeless will spend cash on drugs, this is false. Our trial excluded people with drug issues, and we found no evidence cash was spent on drugs".

Well done!
You're extrapolating your own experience to the entire population. I can assure you there are people out there who are happy to be burden. I know several.
Environmental knowledge is inversely associated with climate change anxiety
I'll just write a blog with a disclaimer "no one is allowed to read this blog". Now anyone who comes across it is violating my terms and owes me money!
> "All industries are suffering labor shortages"

That's basically saying that all companies are daydreaming about what they'd like to do if only they had more people.

They're not willing to pay higher wages though, while inflation has gone up quite a bit in the last few years.

So yeah, "labor shortage," in quotes.
I think you have fallen into the trap of mistaking interpolation for generalization.

Working with these models every day, it's clear that they can certainly interpolate between points in latent space and generate sensible answers to unseen questions, but it's pretty clear that they don't generalize. I've seen far to many examples of models failing to display any sense of generalization to believe otherwise.

That's not to say that interpolation in a rich latent space of text isn't very useful. But it's not the same level of abstraction that comes from true generalization in this space.
That's not accurate at all, the beta was revolutionary - you could play with the physics, the gravity gun.

It wasn't a proper game yet for sure, but as a 2003 tech demo the beta was one of the best, you could recreate the legendary E3 demo [1].

[1] https://www.youtube.com/watch?v=4ddJ1OKV63Q
Make them all do 15mph, easy win.
California Forever
Pretty much all the major LLMs are trained on 99% English text, so it's good for people who want to learn English, not so good the other way around.
> Until we solve the interpretability problem (e.g. can you decode the feature space of a neural network into something we can comprehend) there is no good solution.

This is the rub. Without reverse attribution... open source anonymous models become a free-for-all loophole.

Since that doesn't currently exist, I think the best we can do is to say that any commercial entity using a model bears the responsibility of proving the model they use is untainted by copyrighted material (to which they haven't secured rights).

Open source model X is... whatever it is.

But I'll be damned if OpenAI / Meta / Microsoft / IBM should be able to build a commercial product on top of laundered copyrighted material while ignoring provenance.

I mean, we have models for this: software code and art. Both aren't clearly attributable. In the case of software code, we've developed case law around clean room design and similarity. In the case of art, we value verifiable chain of custody.

Hopefully, something similar would tilt commercial funding of AI in the direction of responsible use.
Hey thanks for pointing this out. Every time this gets posted to HN someone notices something else.

The format you spotted in the Venn diagram was:

2023-09-01T10:12:07.284307

This is indeed only valid under ISO 8601 since RFC 3339 always requires a timezone.

So the Venn diagram wasn't wrong, but I agree it was misleading.

I've now updated the diagram to add the following format, which is valid under both standards:

2023-09-01T02:12:07.284307Z
Asset heavy businesses that would prefer to not have more assets to take care of.
You're conflating "objective reality exists" with "we fully know what objective reality is".
Docker desktop creates and manages Linux VM with docker engine inside. It also does some magic to allow mounting host directories inside containers. I've yet to reproduce that magic, TBH.

It's obviously important for macOS, because macOS does not support docker containers.

While Windows supports docker containers, most docker containers are built for Linux, so Docker Desktop is important for Windows as well.

Now for Linux you can run docker engine on the host, if you're proficient with Linux. However some people use Docker Desktop on Linux as well. I could imagine that you can run very old host Linux this way.

I, personally, avoid docker desktop on macOS. Right now I'm using remote Linux VM and in the future I'll use Linux in VM, configured manually. However I've yet to find out how to mount host directories inside that VM containers. Some magic.
That's the same as saying if I open paint and draw with the mouse my mouse movements should be copyrightable but not the resulting image...
You could implement row level security on the database to prevent unauthorized access.
You got me curious, so I had to see if anyone had done it. I don't recommend watching anything prior to the timestamp.. typical youtube garbage.

https://m.youtube.com/watch?v=Yt7GNuCrIaQ&t=104
James Hoffman gives a good history of Bialetti here: https://www.youtube.com/watch?v=upgQsA5kLAk including their sale to Faema and later to a cookware manufacturer, their numerous brushes with bankruptcy, and the stiff competition they've gotten from... even in Italy... pod machines.
There are (at least) two forces pulling in different directions: I can envision common form factors for mid motors and even motor/gearbox combos. That's most of the parts compatibility struggle. OTOH e-bikes can have a very wide range of designs and still be practical for all purposes. You don't have to optimize for weight. Your cargo ebike can be your commuting bike.

Also, there are niggles like belt drive requiring a different frame. You have to be able to put the belt through a gap in the... do we still call it a "chainstay?"

I've been shopping for a used bike. Life was so much simpler when I had no idea that Shimano and Campagnolo drietrain components were so incompatible and that incompatibility flows through to the way the rear wheel is built.
Do you have a response to the current top comment of this submission?

> Sourcegraph seems to have collected a bunch of these (now leaked) email addresses from signups on self-hosted instances.

> I remember being very surprised when I was signed up to their mailing list after I made an account on my self-hosted instance, and I'm not sure about the ethics (and legality) of collecting these in the first place.
I think the "aquatic ape hypothesis" as originally proposed is a lot weaker than people in this thread seem to think. It wasn't a proposal that humans lived in the water, merely that:

> My thesis is that a branch of this primitive ape-stock was forced by competition from life in the trees to feed on the sea-shores and to hunt for food, shell fish, sea-urchins etc., in the shallow waters off the coast. I suppose that they were forced into the water just as we have seen happen in so many other groups of terrestrial animals. I am imagining this happening in the warmer parts of the world, in the tropical seas where Man could stand being in the water for relatively long periods, that is, several hours at a stretch.[1]

So, wading hunter-gatherers.

In this - as an primarily land based creature - wading seems reasonably effective.

[1] https://en.wikipedia.org/wiki/Aquatic_ape_hypothesis
The vast majority of Americans aren’t building generational wealth anyway.

Plus is wealth really all that valuable when you don’t have to worry about crime, funding your child’s education, losing your job, or having a major health scare? When living in a walkable area full of culture is an option everywhere, rather than a select few areas?
I have never understood the fair use argument when it comes to training data.

I publish a copyrighted article. Some LLM ingests it without permission, but since the output of that LLM is sufficiently different from my source article there is no violation.

I publish copyrighted code. Some company decides to consume it without purchasing a license. The product they distribute is vastly different from my code itself, but I can still sue them into oblivion.

What's the difference between the two?
LIBS?

A clearer title of Chandrayaan-3 Rover confirms presence of sulphur on the lunar surface instead of the cryptic LIBS reference would have sufficed. Even the title on the official post there with it's "...unambiguous in-situ measurements" ... is weird.
It's not. Kinesis was around before Kafka became the de-facto tool for data streaming. AWS has a separate managed Kafka service called MSK, which came much later.
Please review the Hacker News contributor guidelines.

> Comments should get more thoughtful and substantive, not less, as a topic gets more divisive.

> Eschew flamebait.

> Please don't post shallow dismissals

https://news.ycombinator.com/newsguidelines.html
If you follow topics like this you're inviting all kinds of moderation problems, etc, by seeing content from people you don't know.

Microblogging (well, all blogging) was perfectly designed not to have these issues by you seeing only feeds you subscribe to.
Right out of the article you linked:

> The starting salary for an NYPD officer is $55,910 without overtime. Meanwhile, the required annual income for a person living alone in New York City with no children is $53,342, according to an MIT living wage calculator.

So a police officer starts out barely makes a living wage. No wonder they end up living outside NYC to save money. And then if they manage to save up a down payment, good luck qualifying for a NYC mortgage on that salary.
Yeah interesting I deleted my account because I didn't even trust them with my social media page views so I'm thinking I'll pass on this.
True – Temporal Reasoning Universal Elaboration – System Dynamics
The Loner’s Guide to Hiking the Appalachian Trail
I personally have a really hard time finding any meaningful difference or distinction between "AI" and "lossy compression". Copyright and "lossy compression" are pretty easy to reason about. Model "building" is "compression". Model "use" is "decompression". Everything about these AI models seems to be about the "lossy" part, but "lossy" is just an adjective to the main show.

It's very difficult to not conclude that copyright of a trained model should be treated identically to the copyright of a zip file.
That is a really low bar.
Privacy.com might be a good fit for you
Pretty sure they aren’t all using the drones at the same time. Even then, the program has just started, and officers getting drone certs doesn’t mean piloting drones is anywhere near their full time job.

I also doubt that the tech won’t get better and more autonomous as time goes on, and I would guess that the department is just trying to get early experience on an obvious future trend.

Also, for tracking a suspect in a chase, a drone is surely more economical than a helicopter with two pilots.
Telecoms by the mid-2000s had long ago lost their innovation mojo, ceding it to the big tech companies after the deregulation push of the late-1990s and over-leveraging to build out internet networks.
He says in the lecture that physicists arrived at the simple representation by studying Feynman diagrams and looking at how terms cancel each other. And amplituhedron also gives rise to those same representation. This is the reason why he considers amplituhedron to be a good research path. He cites similar interpretation change that happened before in physics[0]

[0] : https://youtu.be/sv7Tvpbx3lc?t=2664
That is a bit harsh..

Nouveau will bring up you're Linux desktop just fine and connect all your monitors.

It will run OpenGL apps and light games.

Last time I checked it could not boost the clock and push most chips to high performance mode.

This is mostly 100% Nvidia's fault of not opening up the specs.

Otherwise what nouveau has been able to reverse engineer is just amazing.

The nouveau driver is so much less painful to use, it just works completely seamlessly. If you don't need the extra performance, it is not worth the trouble to install the Nvidia blob.
With the recent news that Tesla had been overstating their range by more than 50% and the EPA estimates were similarly inflated, are the true ranges still going to be halved?

I have a vacation home and due to antiquated electric service and distance from charging infrastructure, we need the range to be closer to the estimated numbers with this new Model 3 to make it viable.

On a different note: when do folks feel we may start getting to gasoline car ranges which are around 450-480 miles for my two current internal combustion cars?
I grew up in the Seattle area in the mid-1950s and 1960s. One of the exchanges in Seattle was MUtual, starting with MU just like NYC's Murray Hill. One year Shari Lewis, the puppeteer famous for creating the Lamb Chop and Charley Horse characters, came to Seattle to host a telethon, probably for what is now Children's Hospital. She kept forgetting that MU was the prefix for Mutual and told us to dial Murray Hill instead, before catching and correcting herself almost every time.

When they started using numeric dialing, they simply substituted two digits for the letters. My exchange was VErnon, so the two digits became 83. It was confusing for long time as I lived over the county line from Tacoma, which also had the same prefix but was long distance and remained so until cell phones pretty much erased the local long distance regime.
let me try another way, if teacher require students write a article about Nazi, generated article pass the class. Is this fit the purpose of teacher?
Unless you think there is lots of induced supply to be had, paying more won’t do much in increasing supply, you’ll just be taking workers from somewhere else, and if everyone pays more, it will just come out as inflation. Increased productivity gets around that, since fewer workers are needed, they can be paid more, and since they produce more, inflation is less of a concern.

Incidentally, NYPD is pretty well paid, if you think they need to be making tech salaries…well, I’m not sure where to start with that. Someday this might be more of a tech career (think riggers from shadow run).
A breakthrough in obesity research allows losing fat while eating what you want
I'm surprised that nobody has suggested that what's behind this RFC is Disney and other large studios lobbying to make it legal to copyright AI generated content so that they can move to AI generated movies and art. Right now you can't get a copyright on AI generated content.
Knowledge & skill are important, not just general intelligence.

We need kids to know how to write, and how to elaborate their thoughts, for when they will need to do so in life.

The LLMs can't guess what points you want to make to your boss or to your colleagues about the complex professional context you are in.
You mean you waste it on corruption (and the Mafia)? My family is Italian, and I do love the country, and it could be a true financial powerhouse...but the corruption will literally kill the country one day, I have very little doubt Italy as the current entity will fail (honestly I am surprised that covid didn't bankrupt the country, so that was a positive).
But in the case of aws it’s so bad, why even have an icon at all?
I use Firefly III (which isn't quite the same but similar issue) and import csv exports from my bank and other accounts. I have to jump through some hoops with Selenium to automate downloading the csv files but it works mostly reliably after some fiddling.
> To hear: "the man talks about things he has no clue about with disturbing loudness"

> And turn it into: "that's actually not a criticism of the guy at all!"

Ironically, that's not at all what I wrote. You made statements such as these:

> But they read tweets like this, and they have the typical developer blindspot of not questioning motive enough and they believe it!

> I'm tired of hearing this person's garbage quoted ad nauseam like a gospel

And so I observed:

> If you think people are parroting swyx uncritically - that's hardly a criticism of swyx, is it?

To be clear, if you feel other people are repeating swyx uncritically, that is a criticism of those people.

When it comes to people being loud while not adding knowledge to the discussion - with all due respect, you should consider the composition of your house before casting that stone.

I apologize if my comments are frustrating for you to read; I am doing my best to give you useful feedback. You behaved in a pretty extreme way, which is not considered acceptable in this community (or most communities). And I take it you knew better:

> I know it's un-HN but...
yea that's because it's his coach. if his teammate said that and it wasn't someone he had a lot of rapport with he'd just say eat a dick
> Humorously, the attacker accidentally published their entire directory structure for this attack in one of the gcc-builder versions. If we weren't confident in our assessment before, we can say without a shadow of a doubt that this is in fact XMR miner masquerading as GCC.

Cut him some slack. He's only 12.
I'm certain the best self-driving cars are better than the worst human drivers. I've personally been in the car with older relatives who terrified me.

I doubt they're better than the best humans today, and that's OK. The cars are getting better with time. My uncle isn't. We could improve road safety right now by swapping his keys for a Waymo.
The city's budget documents for the current fiscal year are here[1]. The NYPD doesn't appear to publish their own "internal" budget, but many details can be gleaned from their finance committee reports[2].

A large part of the NYPD's budget goes to wages, in parts because of (1) bloated wages for senior officers, and (2) rampant overtime abuse[3]. Some of that money would be recaptured in the form of income taxes, except that the NYPD has successfully lobbied to exclude itself from NYC's civil servant residency requirements[4].

[1]: https://council.nyc.gov/budget/fy2023/

[2]: https://council.nyc.gov/budget/wp-content/uploads/sites/54/2...

[3]: https://comptroller.nyc.gov/newsroom/nypd-overspending-on-ov...

[4]: https://www.nyc.gov/site/nypd/careers/police-officers/po-hir...