skysight-inc/HackerNews huggingface dataset:
In my country you can go to the bank and ask for the damaged banknotes to be replaced with new ones. As for the explanation how you come into possession of so much cash then I believe normal money laundering practices still apply
To be clear, you can still train AI with these images. Nothing is stopping you.
The concept of one pedal driving should be entirely divorced from the concept of regen. It’s purely a UI choice.

One could just as easily (ok it’d be slightly harder) design a system that behaves just like a traditional ICE vehicle while still regenerating the exact same amount of energy.

Any argument for one pedal driving should be centered solely in the UI benefits (less foot movement, etc.) rather than even mentioning regen.
Very true.

The companies that gave data to criminals need to be bankrupted.
Slight tangent: I've noticed that robot waiters seem to never actually be doing their jobs, and the presence of one in the store is the sign of the restaurant being poorly managed.

The idea that there could be hucksters selling these door to door to bad managers explains so so much.
And we only had to alienate millions of people from their labor to do it.
Yes I picked that up and was tempted to comment. But then half way down it addresses this with the section “Many relationships”:

> Until now we have discussed scenarios that are considered one-to-one merges. In these cases, we only expect one participant in a dataset to be joined to one instance of that same participant in the other dataset.

> However, there are scenarios where this will not be the case…
Thanks! Someone else mentioned llama.cpp but it appears that ollama is just a gui frontend for llama (which is good because I find guis easier). I'll hopefully set it up soon!
I did not understand your complaints, so I have searched the specifications of Beelink u59.

This is a small computer with the previous generation of Intel Atom CPUs (Jasper Lake) and it happens to support only SATA SSDs, so your suggestion of using a NVMe SSD would have been impossible.

Even with the current generation of cheap Intel CPUs, i.e. Alder Lake N, for instance N100, the CPUs have very few PCIe lanes and most cheap computers do not have an M.2 socket that works at the full PCIe 3 speed of 32 Gb/s like the SSD of the tested OrangePi computer, but they have sockets with only 2 lanes or only 1 lane, which work at half speed or at quarter speed.

Most computers with RK3588 have a full-speed M.2 type M SSD socket and this is one of their advantages over most other computers in this price range.

Since the OnnxStream performance depends both on SSD and on CPU performance, there is no surprise that an Intel Skylake CPU using AVX2 instructions is so much faster than Cortex-A76 with much lower clock frequency that it wins the benchmark despite the slower SSD.

The only benchmarks more informative than these would have included comparisons with a computer using the direct competitor of RK3588, i.e. Intel N100 (which is faster for CPU-limited tasks, but not necessarily for those involving I/O or video), but it appears that the author does not have such a newer computer.
It's the 2Mb/s upload in my example that's the catch. That'll often be asymmetric at a 10:1 download:upload ration (or worse), so it's almost impossible to do any kind of traffic management to make it work well.

I'm talking about places that can't get an internet connection that can support the VOIP systems they're sold.
Yep. There are always going to be constraints about how well a system like clickhouse can support arbitrary joins. Queries in clickhouse are fast because the data is laid out in such a way that it can minimize how much it needs to read.

Part of this is the columnar layout that means it can avoid reading columns that are not involved in the query. However it’s also able to push query predicates into the table scan, using metadata (like bloom filters) that tell it what values are in each chunk of data.

But for joins, you typically end up needing to read all of the data and materialize it in memory.

For realtime joins the best option is to do it in a steaming fashion on ingestion, for example in a system like Flink or Arroyo [0], which I work on.

[0] https://github.com/ArroyoSystems/arroyo
Over any period of time, no probably not. If the algorithm is simple as "This was signed by an iphone" then you have a fleet of a billion+ iphones that all must remain secure and unbroken for the entire time this fleet of phones exist trends to unlikely. Given time and motivation all systems are broken.

A much harder to break system is one uses a secret only exists on each individual phone + the generic algorithm that iphones use, but this comes back to individuals being traced.
> If you go and study a work of fiction in a college class, unless that material is in the public domain, you're gonna have to pay for your copy,

No you wont!

It is only someone who distributes copies who can get in trouble.

If instead of that you as an individual decide to study a piece of art or fiction, and you do no distribute copies of it to anyone, this is completely legal and you don't have to pay anyone for it.

In addition to that, fair use protections apply regardless of what the creative works creator wants.
Move to Canada and pay premium prices.
While you might not be able to construct the entire banknote, there would probably be a high chance of many partial constructions. In and of itself interesting from a partially complete puzzle perspective. Plus, attempting to match varying serial numbers, dates, reference marks, while still having each bill vary.

Could probably be improved by doing 50-100 variations on each bill to give a general idea of the patterns possible within a zone. Such as: This area has 8 possible characters, with 36 possible entries /[a-zA-Z0-9]/. It has a fixed border with some constant pattern nearby. Show all the possible combos and then dice up the area a bunch of different ways.

On the partial constructions topic:

You have 350 of 1000 pieces of an image with some known general shape.

How much of the image can you reconstruct while still missing 2/3 of the pieces?

At the least has applications for image guessing. Also, agree on the false bank note contents, and how many people at the note shredding office are just stuffing their pockets with bank notes and then filling the cylinders with rocks? Great scam that probably almost nobody actually checks.
TIL what the collective noun for a group of wankers is.
A human artist does not need to look at and memorize 100000 pictures in any span of time, period. Current AI does.

We needed huge amounts of human labor to fund and build Versailles. I'm sure many died as a result. Now we have machines that save many of those lives and labor.

What's your non-argument?
What's the advantage of this? Whenever I tried, the UX seems so much worse than any other service. If it's the same data anyway, why not consume it from an easier to use service?
In some jurisdictions tailgating is essential. Most drivers are super aggressive and cut in, making the people behind you angry and you get nowhere.
Right, but there's also fair use, and every use I mentioned could plausibly fall under that.
I just recently read "How the Mind Works" by Steven Pinker. It's quite old at this point (originally 1997, though updated in 2009), and one thing he argues quite convincingly (and which has been pretty much born out in decades of research) is that the brain essentially has "modules", e.g. a module for vision, a module for language, a module for physical object interaction. These modules obviously overlap (e.g. language touches on lots of different domains), but they do have genetically independent structures.

I was thinking about this when I read the following section from the article, and I very much agree with LeCun. We're amazed by LLMs but that's just one module (and not even necessarily at the level of human language "understanding"). I agree there will be no "scale up" in LLMs to approach human-level intelligence, and that other areas will need to be investigated and developed.

> “The systems are intelligent in the relatively narrow domain where they’ve been trained. They are fluent with language and that fools us into thinking that they are intelligent, but they are not that intelligent,” explains LeCun. “It’s not as if we’re going to be able to scale them up and train them with more data, with bigger computers, and reach human intelligence. This is not going to happen. What’s going to happen is that we’re going to have to discover new technology, new architectures of those systems,” the scientist clarifies.

> LeCun explains that there is a need to develop new forms of AI systems “that would allow those systems to, first of all, understand the physical world, which they can’t do at the moment. Remember, which they can’t do at the moment. Reason and plan, which they can’t do at the moment either.”

> “So once we figure out how to build machines so they can understand the world — remember, plan and reason — then we’ll have a path towards human-level intelligence,” continues LeCun, who was born in France. In more than one debate and speech at Davos, experts discussed the paradox of Europe having very significant human capital in this sector, but no leading companies on a global scale.
>Additionally, my wife and I can both queue up what we want in the cart on each of our own phones and discuss before submitting the order.

This is exactly the thing I loathe about QR code menus. It normalizes having phones out at the table, with everyone looking at their own. Defaults are powerful, and "phones out" as a default leads to increased distraction and inattention among the people you're dining with.
It's still way better than Go.
nothing different than virus / anti-virus. It will be fine
> The only other OS getting installed is Windows, and that's probably coming straight from a disk image or a recovery partition.

> Especially in laptops, a lot of hardware / firmware issues are simply "solved" by baking a fix into the pre-installed Windows version. It's a solution for 99% of users, so why bother spending time looking into the root cause?

The Windows versions I installed for testing were non-OEM versions. They still behaved as expected.

Notably, Windows didn't just know about all the standard UEFI variables, but also about a non-standard one that I added for testing. This means that there definitely is a way to ask for the list of variables so that the UEFI accepts it (sadly, reverse engineering that is a pain), and that the Linux kernel is most likely the place where an actual fix has to happen.

Of course, yes, at the end of the day, the root cause is a specification non-conformity in the UEFI itself.
The stained glass windows of the cathedral in Winchester, UK were smashed in the civil war. After the war they picked up the pieces and rebuilt the windows, but they no longer make a coherent picture. It would be amazing to use tech like this to reassemble them properly.
In my experience, the thing about these communities is that unless it's invite-only, they end up being filled with wantrepreneurs, which drives away the entrepreneurs because of the signal to noise ratio i.r.t. valuable discussion.

But I agree. I wish I had a network of other founders I could talk to about some things. So I vibe with your mission, but not the idea.
I really don't understand the anxiety of artists towards AI - as if creatives haven't always borrowed and imitated. Every leading artist has had acolytes, and while it's true no artist ever had an acolyte as prodigiously productive as AI will be, I don't see anything different between a young artist looking to Picasso for cues and Stable Diffusion or DALL-E doing the same. Styles and methods haven't ever been subject to copyright - and art would die the moment that changed.

The only explanation I can find for this backlash is that artists are actually worried just like the rest of us that pretty soon AI will produce higher quality more inventive work faster and more imaginatively than they can - which is very natural, but not a reason to inhibit an AI's creative education.
"whereas knowledge work is not just having the knowledge but having a full conceptual understaning of it and solving problems [...] with creative application of thay knowledge and conceptual understanding"

I think the point the author is making is that models (services) like ChatGPT are doing the former in your statement and it's up to the human user to do the latter. Application and allocation here are synonyms in this context.

I use ChatGPT multiple times every day now, mostly to sift through knowledge and ask questions to make sure I understand that retrieved knowledge and also identify sources so that I can verify that knowledge if the truth isn't obvious.

I mean, you can say whatever you want, but I personally find it tremendously useful productivity enhancement tool right now - otherwise I wouldn't waste my time with it.
How do you resolve that with the fact that the same hundreds of engineers doing boring engineer stuff nearly bankrupted the company before they brought Jobs back?
My grades said otherwise
> LeCun explains that there is a need to develop new forms of AI systems “that would allow those systems to, first of all, understand the physical world, which they can’t do at the moment. Remember, which they can’t do at the moment. Reason and plan, which they can’t do at the moment either.

I think LLMs have sucked most people's focus away from other areas but there is plenty of work on types of models that plan and have their own internal model of the physical world, and physical interactions. They're just not the things getting media attention, in part because they're not human-level at tasks that seem impressive to us.

But interesting frameworks for this stuff exist:

- model-based RL exists, and is about planning, and having an internal model of state transitions, in the world and between the agent's actions and the world

- "Bayesian cognitive science" as exemplified by Josh Tenenbaum and colleagues has done plenty of stuff with systems that include physics models (or off-the-shelf physics engines) to make counter-factual predictions

- The somewhat related "active inference" research literature is also in the "Bayesian brain" area, and has world/generative-models and planning as core components, but wrapped up with ideas about the agent's own preferred distribution of states.

To my knowledge, none of these have ever had even 1% the scope of data and computation that LLMs have had, and never benefited the co-evolution of a rich, optimized software ecosystem with specialized hardware to support it. What if the concepts are already there, but they just need to be scaled up?
I thought the same, it's poorly titled IMO. "Automated emergency braking," to me, means the system that brakes if it thinks you're about to hit something. I would have never thought about the cruise-control hands-off-wheel behavior (which braking is only one piece of, anyway).
That is why the waiter took them away. Wome seem to interput what I said as why some are taking away paper menus, not what I meant
Human learning =/= machine learning

Most artists are happy to see more people getting into art and joining the community. More artists means the skills of this culture get passed down to the next generation.

Obviously a billion dollar corporation using their work to create an industrial tool designed to displace them is very different.
Just need a few backward passes and u get long term memory. I think we are overthinking that aspect
I bet you if the commentator you’re responding to owns a home, they take the mortgage home tax deduction.
Ask HN: Have you made money from desktop apps? Please share what info you can.
I think the artists need to agree to stop making art altogether. That ought to get people’s attention. Then the AI people might (be socially pressured or legally forced to) put their tools away.
It will democratize art.
> you're giving up your IP address at the bare minimum

Your phone's dynamic IP. Which is a redundant, and much weaker, identification than your payment info.

> it becomes possible to calculate how long you've been in the restaurant

Also doable by the staff.. using their eyes. And most restaurants will use some form of system anyway to track the orders and payments, because that information is vital to running a functioning restaurant.
Would be pretty ironic if this forces the drop of "exempt" status and overtime pay comes into the picture.
I read you comment, looked at what spotify was playing on my speakers and posted that comment because you said 'every'. I really have no idea who that artist was or even what language that is.

Your comment wouldn't have been worthy of a response if you had said 'small artists'. Because thats well known problem with all streaming platforms and not just music.

Now looks like you are not even saying 'small artists' . It only applies arists who are not 'well known' ? No idea what you are even trying to say. Maybe use some precision ?
Seven Robots Every Geeky 80s Kid Wanted (2015)
Spotify product management has a history of not listening to customers, and thinking they know better, with lots of HN examples in threads about it
Off topic: What’s the deal with the number characters and the $ clearly being different Unicode code points than the standard ascii characters here?
Unless the photos are of a very good quality and the print hasn't been washed out over the year, food pictures in menus usually give me disgust.
But the per-watt performance of these chips is usually terrible, made as they are on older silicon processes. Any recent-ish laptop CPU will have no problem beating them.
There is StreetComplete which makes it really easy to contribute such data.
In Osmand it's a bit more work, but still not difficult
One just has to design and build the house of the room they're trapped in.
Neat stuff, this really throws me back to just chatting with random people on TeamSpeak/Mumble which is a thing I haven't done in a while. I'd of course appreciate being able to read the app's source code, though.
Just decline them in your browser settings...?
My guess from what I've seen over the past three decades is that this started because private schools and some public schools in wealthy areas were touting how many of their teachers had master's degrees. Other school systems wanted to compete, so they started offering higher salaries to teachers if they had a master's degree. Soon it became very common for most teachers to have one. Amongst the teachers I know, most have master's degrees from the University of Phoenix because apparently it's one of the quickest and easiest ways to get that credential.

Back when this started, much of the alure of teachers with master's degrees was that they were highly educated in the subject matter they were teaching. It was implied that the chemistry teacher would have an MS in Chemistry. But now all the teachers I know have their MA in either Elementary Education or Secondary Education but none of them are teaching how to be teachers. It's a strange situation and recently one of them was ranting about the pay difference between having a master's degree and just a bachelor's degree had shrunk to nearly nothing. This is probably because the MA in Education has become so ubiquitous that it has little value. What school brags about the percentage of teachers with a master's degree anymore now that almost every school is over 80%-90%?
It has lost contact before and come back online. Sometimes the communications signals can get blocked, expect the rover to more closer to get a visual and attempt to establish contact. If the helicopter lost signal it goes into an auto land mode similar to what drones do when they lose signal.
Lard, butter, cured, and canned foods are fine from a nutritional standpoint. There is some weak evidence that certain cured meats might increase the risk of some cancers but that hasn't been rigorously proven.
This keeps popping up, but a sufficiently large neural network can approximate any continuous function. They can't approximate any discontinuous function

Incorrect. That's what nonlinear activation functions are for.

Researchers wasted many potentially-fruitful years because Minsky and other luminaries -- people who occupied the same position of authority that LeCun occupies today -- made a huge deal about how the original perceptron and subsequent multilayer variants "couldn't learn XOR." That was almost literally how they put it. At the first sign of difficulty they abandoned the approach that was, and remains, the most promising. We have to be careful to learn from that mistake.
"move fast and break things" coming soon to a low earth orbit near you
I think the bank might get suspicious when the reassembled bank note looks like it was shredded and reconstituted. I guess you could say something like "My toddler thought it would be funny to shred a stack of money"
I do, occasionally and seem to notice the same pattern, yes. If ever there were to be created a truly politically neutral LLM it could be used as the back end for a browser extension or wikipedia proxy which would add bias markings to all wikipedia-hosted content. Creating a truly neutral LLM would be truly hard though given the biased nature of the training set.
To say a human-level intelligence is far off is like saying we are far off from being as intelligent as whatever may have created us. The reason I disagree with LeCun's comment is even though I agree language models are not intelligent, an intelligence adapted to the internet as its own environment seems imminent. It just won't be adapted to ours.

We occupy and discover space, where an AI will occupy and discover compute. Will it be "conscious?" Not in our way, and we will likely be just as indifferent to AI consciousness and the meaning it finds for itself as nature and the universe is to ours. Thinking about AI as an objective concrete thing or property is probably less illuminating than looking at it through how a tech can profoundly alter our own ontology.

We exist where life is abundant, whereas the internet is a substrate where life is non-existent, but just about to become primordial and sparse. Maybe it will give us some insight into our own situation.
This reminds me of the guy who wrote 1 line mathematica program that detects if a picture has a upside or downside goat in it : https://codegolf.stackexchange.com/a/71680

All you had to do is use the built-in "goatness" evaluation function!
why would you need a vpn to use newegg?
No, I disagree. There is no principle of the universe or across human civilizations that says that you have a right to eat because you produced a creative work.

The way societies work is that the members of the society contribute and benefit in prescribed ways. Societies with lots of excess production may at times choose to allow creative works to be monetized. Societies without much surplus are extremely unlikely to do so, eg a society with not enough food for everyone to eat in the middle of a famine is extremely unlikely to feed people who only create art; those people will have to contribute in some other way.

I think it is a very modern western idea (less than a century old) that many artists can dedicate themselves solely to producing the art they want to produce. In all other times artists either had day jobs or worked on commission.
The artifacts are extremely an issue for artists who don't want their images damaged for the possibility of them not being trained by AI.

It's a bad tradeoff.
I think you’re missing my point. I’ll choose the best faith and assume I didn’t convey it properly rather than you are intentionally missing it.

Here it is again:

* I live in Scotland
* I am subject to Scottish weather
* In my Scottish weather the car operates just fine
* My conservative friends are sharing stories of a handful of issues people are having in another country as proof of… something. Not sure exactly what but some culture war thing they have been tricked into spreading by their influencers.
* Tesla stories are therefore amplified. There were a bunch of ICE cars also having issues but you don’t hear about them.