skysight-inc/HackerNews huggingface dataset:
If they just waited until discovery, it would be Musk's lawyers that control the narrative, choosing which parts of the emails to focus on publicly, which to ignore and what story to paint around it.

As you say, this way, they get to control the narrative. Nothing strange at all.

From what I can tell, Musk's lawsuit doesn't have a much of chance in the first place. I don't think he expects to win, it seems to be more a tool in Musk's own media push, and while I wouldn't bet on it, there is absolutely a chance it won't reach discovery.

I think OpenAI have quite wisely decided that the real battle here is the court of public opinion. They know it's possible to win the court case but lose in the eyes of the public. And they know that Musk has a lot of previous experience (and success) in the this battleground.
That's what I think is the problem. And exactly the reason I thought cosmic could get this right. There is a lot of promising decisions in this project, but maybe it'll take a while to work as expected :-)
I thought that’d be an article about stripping tracking identifiers from a PDF and other precautions for information liberation purposes. But that’s just an ad of their cloud storage.
I literally stated ‘if the balls don’t get put back’.

And the last card was still random, btw. But can be guessed now with perfect precision due to the process of elimination.

Random at shuffle doesn’t mean unguessable or unpredictable as the game goes on.
This comment is now the second result for me, below https://www.reddit.com/r/synthesizers/comments/uhga1j/usb_mi... and above https://www.reddit.com/r/synthdiy/comments/g6cm6q/waterproof...
Oh, that was new to me. Thanks...
As others have pointed out, encryption has never worked that way. You can't just encrypt data then throw away the key and somehow have it be useful. You have to store the key. Which if attackers can compromise your data store, they can compromise your key storage infrastructure.
> To some extent, they may be right that open sourcing AGI would lead to too much danger.

That's clearly self-serving claptrap. It's a leveraging of a false depiction of what AGI will look like (no ones really knows, but it's going to be scary and out of control!) with so much gatekeeping and subsequent cash they can hardly stop salivating.

No strong AI (there is no evidence AGI is even possible) is not going to be a menace. It's software FFS. Humans are and will be a menace though and logically the only way to protect ourselves from bad people (and corporations) with strong AI is to make strong AI available to everyone. Computers are pretty powerful (and evil) right now but we haven't banned them yet.
Samsung promoted a video on social media that was shot on an iPhone
> Abstractions should be seen as models. They are always wrong, but they are sometimes useful. (And sometimes not.)

George Box was very specifically talking about statistical models when he coined that aphorism. Matrices are linear algebra and graphs are graph theory, I find it hard to think they are not correct and useful models.

> A forward traversal >v of node v enters from the left, reads the sequence stored in the node, and exits from the right. A reverse traversal <v enters from the right, reads the reverse complement of the sequence, and exits from the left.

I'm not an expert in this field but I'm guessing you're talking about De Bruijn graphs, which can be very elegantly modeled with incidence matrices, here's an example of one using the GraphBLAS that downloads data from BioPython, loads it into incidence matrices and graphs it. This is just a simple example, SuiteSparse can handle many billions of edges:

https://github.com/Graphegon/Graphony?tab=readme-ov-file#exa...

Traversing bidirectionally is quite easy, the upper triangle of a matrix are the directed outgoing edges, and the lower triangle are the incoming. This style of "push/pull" optimization is common in the GraphBLAS.

> In a good graph representation, you can do this by maintaining a small state that does not grow significantly with the length of the context or the number of underlying paths.

Again if I understand you correctly, in the GraphBLAS this is accomplished by using accumulators and masks. During traversal data can be accumulated, with a stock operator or one you define, into a vector or matrix, and that object can be used to efficiently mask subsequent computations to avoid unnecessary work or determine when you've reached a termination condition.

> Matrices don't feel like a good abstraction for graphs like this.

Mathematically, graphs and matrices are isomorphic. Regardless of algorithm or storage format like edge lists, tuples or CSR, every graph is a matrix, and vice versa. And if you have a matrix, you have linear algebra to operate on it.

Some people don't like Linear Algebra to operate on graphs, so I guess for them it is "not good", but on the other hand, it's Linear Algebra and Graph Theory, whose roots date back to the 2nd century BC, forward through great minds like Descartes and Euler, permeating every kind of math, science, physics and engineering discipline humans have ever created. That's a strong argument for its goodness.

Now it is entirely possible, likely even, that the current SuiteSparse implementation doesn't have exactly the tool needed or maybe not the precise best storage format, but these missing pieces do not invalidate the underlying mathematical foundation that it's based on.
Title is misspelled. It’s “Amie” not “Aime.”
Right. In Dart they are the same. In Swift they are distinct.
Unless it's brought up as a point in court, actual exhibits in lawsuits don't have DKIM signatures either.
Correct, Dart has enum exhaustiveness checks, associated types, and expressions as of 11-13 months ago: https://cfdevelop.medium.com/dart-switch-expressions-33145c3... (keeping it short and simple because I'm at -2 on the original post, don't want to look like I'm argumentative)
He means that he thinks the only reason why these generative AIs ever get info wrong and causing misinfo is because the businesses that write them are too woke and holding them back.
I'd just have used Uber's hexagonal tiling library. https://www.uber.com/blog/h3/
> their most powerful AI is accessible to anyone with a credit card

Only 22.26% of the world's population had credit cards as of 2021.
Hard to say. But with a $20 subscription, you could ask ChatGPT 4.0 to interpret the truth that exists in that comment :D
Have you ever read Euclid's The Elements? It's all prose and relatively obtuse. Compare that against the modern notation equivalent and you'll see how empowering the algebraic formulation is. The semantics are the same, but the presentation absolutely makes a difference. APL is not 100% about the symbols, but a huge part of being a tool of thought comes from the suggestivity that symbolic notation offers.
That seems incredibly unlikely given a large percentage of the people around the top of OpenAI are lawyers, most notably, their Chief Strategy Officer.
It may also be about not wanting their data to be made public.
Random is not precise; it does specify a distribution, though uniform is commonly assumed. A better term is "uniformly distributed".
> The hazard we are experiencing with LLM right now is not how freely accessible and powerfully truthy it's content is, but it is precisely the controls upon it which are trying to be injected by the large model operators which are generating mistrust and a poor understanding of what these models are useful for.

This slices through a lot of double speak about AI safety. At the same time, people use “safety” to mean not letting AI control electrical grids and to ensure AIs adhere to partisan moral guidelines.

Virtually all of the current “safety” issues fall into the latter category. Which many don’t consider a safety issue at all. But they get snuck in with real concerns about integrating an AI too deeply into critical systems.

Just wait until google integrates it deeply into search. Might finally kill search.
I did. It answered "I don't know."

I guess I found the (in)coherent interpretation...
Paying ransoms to ransomware groups needs to be made illegal and prosecuted under the RICO regime.
I don’t think anything about this is cut and dry. You may have a strong opinion on the matter, but at the most charitable it’s people doing their best in a murky situation
'Hippies' aren't really known for activism or violent crimes, in my opinion.
The article states environmental activist groups protesting nearby distanced themselves from the arson attacks, which is more in line with what 'hippies' would do.
Three finger drag is a dream. I have switched to Linux and I'm missing it sorely. Linux is lagging behind, but there are hacks. https://github.com/marsqing/libinput-three-finger-drag
I brushed through the article real quick, but what is the likely reasoning for Accenture to acquire Udacity? Is this content play, or talent?
I just meant to point out the complexity of the transition Linux has gone through... The transition from X11 to Wayland is still a thing and most Environments / Window Managers still use code from both technologies.

However, you are right, there is no such thing like display server AND compositor.

> and window manager doesn't deal with mouse movement

And that's causing one of the problems I described above, when changing window focus while scrolling. The driver just sends scrolling events, regardless of the window focus, so it keeps scrolling, when you trying to "simulate" kinetic scrolling.
With all due respect, they are not doing a sleight of hand while selling widgets... they are in the process of reshaping society in a way that may have never been achieved previously. Finding out that their initial motives were a facade doesn't portend well for their morality as they continue to gain power.
> Not really an AI problem though: that's just fuzzing

everything is AI these days apparently... even LLMs
I don't really think companies do KYC on ransomware groups. The government just does not prosecute it.
Great analysis, thanks for taking the time.

here they explain why they had to betray their core mission. But they don't refute that they did betray it.

Although they don’t spend nearly as much time on it, probably because it’s an entirely intuitive argument without any evidence, is that they could be “open” as in “for the public good” while still making closed models for profit. Aka the ends justify the means.

It’s a shame lawyers seem to think that the lawsuit is a badly argued joke, because I really don’t find that line of reasoning convincing…
Kicked off the board? Thats news to me.
Yes, Meta, Mistral, Allen AI, and many others.
Also:

> Almost any computing device on a network can share files this way, with a bit of configuration.

LibraryBox is designed to be a deployable appliance that works where no network exists that's configurable by non-technical people. Nobody even intimated it was a novel technical approach to physically transferring data. You could pick any method of transferring data and say, "well why didn't they just use [method]?" I suspect you're just hunting for opportunities to make critical comments.
One quick example is that the language allows for (nearly) arbitrary computation in the definitions of types, i.e. defining an enumeration/sum type of the employees of a company as:

{datatype Employee

if (element? emp read-file “employee_list.txt”)

______________________

emp : Employee

}

where the enumeration type contains a case for each employee listed in the text file.

The concept is similar to algebraic datatypes where user defined types are created from sum and product types in combination. However, in Shen the Sequent Calculus based datatypes are definable and constructable using any well formed sequent. Then add on the computational content of the sequent clauses to that and you get a system that is wildly expressive.
In order for this service to make sense, they would need to deliver returns that are at least 1% in excess of say the S&P 500 index performance. One quick way to verify is to test it. Put some amount of money in their care and see if their performance (minus fees) exceeds what you can get in a passive index. Also keep in mind the compounding effect of the fees towards your returns over time so the excess return required will likely need to be much higher than 1%. I'm too lazy to calculate it right now but you should be able to easily model the impact over 5 to 10 years.
I’ve been using Kagi for a while now. It’s worth a shot. I’ve been very happy with the quality of the results and I never find myself feeling like I should check google too.
WSL is great so long as everything you need to do runs inside its VM. If you need to access things on the main Windows filesystem, you're basically accessing a networked file system at that point, with all that entails for perf.
It is NOT a hardware issue. I used Hackintosh on my T460s and the macOS experience was nearly as good as on a MacBook Pro (hardly noticable difference). Switching back to Linux / Windows was the usual "meh" experience.
I'm not sure I buy that users are lowering their guard down just because these companies have enforced certain restricts on LLMS. This is only anecdata, but not a single person I've talked to, from highly technical to the layperson, has ever spoken about LLMs as arbiters of morals or truth. They all seem aware to some extent that these tools can occasionally generate nonsense.

I'm also skeptical that making LLMs a free-for-all will necessarily result in society developing some sort of herd immunity to bullshit. Pointing to your example, the internet started out as a wild west, and I'd say the general public is still highly susceptible to misinformation.

I don't disagree on the dangers of having a relatively small number of leaders at for-profit companies deciding what information we have access to. But I don't think the biggest issue we're facing is someone going to the ChatGPT website and assuming everything it spits out is perfect information.
> The fatter Macs have the equivalent of up to 8-channel memory, which not even server CPUs of the competition provide.

8 channels has been standard in Epyc chips since they released in 2017, the latest Epyc Genoa does 12 channels. They're also not splitting that memory bandwidth with a bandwidth hungry GPU.
There's more to mathematics than rigour and proofs (2009)
“Dont be evil” ring any bells?
It sounds like you're telling me Rust also gets it wrong. C and C++ at least allow the implementation to do the right thing (i.e. trap) on overflow for signed ints, though they mandate doing the wrong thing for unsigned. I'd call Rust, Ada, C, and C++ all niche languages these days though (the niche is low level system work). #1 on TIOBE is Python whose native arithmetic type is arbitrary precision, which is really the right thing to do.

Yes, modular arithmetic is convenient for computers, but it's not integer arithmetic! If you're using machine words to denote actual integers, and your program does something that causes an overflow, that is an error and signalling the error is far better than quietly giving the wrong answer. It's just like in Python where ints are arbitrary precision. They can still get too big for the implementation (i.e. the computer can run out of memory) but that is unquestionably an error condition. Machine integers are the same thing except the constraint is running out of bits in the machine word, rather than running out of memory. If that happens, it's also an error, unless you chose a datatype indicating a different intention.

This all seems obvious to me, but I've seen the same misunderstanding in other places before. I don't understand why it isn't obvious to everyone.
The whole problem has historically been that any "simple" solution lacks nuance. I've been across a number of these sorts of environments. Just look at your answer: Daily backups off site.

Sure, so I've seen this. There's a Veeam server with a backup repo in the main datacenter. And it takes backups to a server "offsite". Let's forget for a moment I've got an environment that take six days to do a full backup.

Then one day the attacker gains a vendor's Teamviewer account and finds themselves on a server console that's been left logged on as a Domain Admin. And they open windows file explorer, and browse to \\offsiteserver\backups, and then press "delete". Noone cares if it's offsite, it's gone.

OK, so when you said "offsite backups" I'm sure you meant something not contactable from an average network machine right? Maybe ACLs only allow access from the backup server itself. Well fear not, the attacker can still just RDP to that Veeam server and repeat.

OK OK so what you really wanted was a properly isolated network for all the backup content and they can't make a connection from the general network to it right? Once again fear not, there's a Group Policy deploying this ransomware, which means it's going on every domain joined machine including the backup server.

Look, now we're getting somewhere, there should be an entirely separate administration domain for backups and infrastructure. Well firstly someone from Microsoft will yell at you because "ESAE" is deprecated, and some overpriced consultant is about to explain to management that you're incompetent because you separated the networks (from personal experience). Fortunately that doesn't matter to the one guy with a popped Domain Admin account on the general domain used the same password on the administrative domain against policy, and the attacker spreads anyway.

Yes you've got options here. For example someone might mention "Veeam Immutable Storage", which is pretty effective. But now you'll find the iLO for that server still presents a forgotten entrypoint to wiping it.

There's absolutely ways to do this properly but it's never simple, and the further you go down the hole the more likely you are to hit pricing or political stumbling blocks.
Reversing Steam Client (Themes in 2024)
As some of you have heard, steam skin are obsolete. Here's how to Apply themes/skins/customize Steam® after the 2023-04-27 Chromium UI update
Let's look at this StatsCounter data:

- In one month, macOS share drops from 21% to 16%

- In one month, Linux share goes up 50%

- In the same month, ChromeOS share drops 50%

None of these things are true. This data is garbage. In the last year, "unknown" peaked at 13%, to boot. Ridiculous.
Is there an example on how to do this ?
There was this period after WWII where newspeople risked their lives and dedicated themselves to telling the truth and working for the betterment of society. There were organizations that took the fourth estate seriously and fought hard to investigate, educate, and speak truth to power.

But if you go back in history, other than about a three-decade blip, the media has never been trustworthy. It's always been schlock designed to make money, entertain, and push positions and ideologies, since the beginning, all the way up to today. The baby boomers tried to make this statement about the media being a force for good, but it was ultimately a pipe dream, and people knew it even in the 70s. Yet they kept trying to sell us this bill of goods about the media's inherent virtue and necessity.

The end result is modern generations just expect the media to be something it's not, and couldn't ever be for long. So of course they're disillusioned. Ever since Nixon, Americans' falling trust in society and widening political and ideological gaps have led to a status quo of anomie, cynicism and apathy.

And I think that's great! You can't break an addiction until you hit rock bottom. Society has been so fucking obsessed with the media for so long that they can't imagine a world where someone isn't spoon-feeding them garbage. But the less people trust it, the closer they are to realizing that they might need to check up on the shit they're eating to see if there's poison in it. "Mama broadcaster and Papa newspaper would never deceive me - we vote for the same politicians!!"

My hope is that in 10 years, people will finally get off their fat, lazy, stupid asses, and do some due diligence. Get some critical thinking skills and learn to research. Look into local politics and find out what's happening around them. Maybe actually learn what the positions of political candidates are and what the actual implications of them are. (Ok that last one will never happen, but a boy can dream)
70 years ago, an H-bomb test went awry. We must never forget the fallout
Aye, but these days, with all the layoffs, you are either not that thrilled about rocking the boat, or you are already involuntarily looking for a new boss ;-( With not that much hope that the new one would be better.

And again, it's hard to blame the boss, he's just as scared about it as everybody else. Why should he take a chance and rock the boat?

Especially for something like datalog. No iteration, just recursion? What's with this bizarre syntax? Why are the variables write-once??? Not everybody is just going to be able to take all that in and see how all these weird little pieces add up to a superior solution.
Renaissance Women
The benefit is the science, nothing else matters, and having OpenAI decide what matters for everyone is repugnant.

Of course they can give us nothing, but in that case they should start paying taxes and stop claiming they're a public benefit org.

My prediction is they'll produce little of value going forward. They're too distracted by their wet dreams about all the cash they're going to make to focus on the job at hand.
How would this work?

I presume Accenture still has to invest the course content that is specific for them, and then use Udacity as the distribution platform. Why couldn't they do that before just like all the universities that uploaded their courses to Udacity?
Hi, I appreciate your response here. However, having no marketing budget and comments being authentic don't clear those Kagi related comments from being associated with Kagi.
The counterfeiter dude accused Newton of being a thief as an excuse to try to get an up close look at the mint's equipment (or something like that). Newton was incredibly upset and made it his life's mission to make that man pay...and ohhh he did.
Perhaps AMD should have waited until after the election in November. Nobody wants to give political opponents any ammunition about being 'soft on China'.
I just snicker.
That is exactly what I was talking about, but it wasn’t actually punishable by death in the Old West (that’s a myth).
Does anyone know where some of these follow-up posts might be?
For what it's worth, Dr. Knuth believes otherwise.
Are… you really suggesting that the real problem here is not criminal extortion but that the payment approach isn’t safe enough to ensure their criminal associates get paid, and that this is what the feds should help improve?
https://www.youtube.com/watch?v=br1-J7b_Ka4
Is there any reason they couldn’t make a card with lots of GDDR5 for example? Isn’t it “just” memory chips that you could put a lot of on a board ?
Well, the Manhattan project springs to mind. They truly thought they were laboring for the public good, and even if the government let them wouldn’t have wanted to publish their progress.

Personally I find the comparison of this whole saga (deepmind -> google —> openai —> anthropic —-> mistral —-> ?) to the Manhattan project very enlightening, both of this project and our society. Instead of a centralized government project, we have a loosely organized mad dash of global multinationals for research talent, all of which claim the exact same “they’ll do it first!” motivations as always. And of course it’s accompanied by all sorts of media rhetoric and posturing through memes, 60-Minutes interviews, and (apparently) gossipy slap back blog posts.

In this scenario, Oppenheimer is clearly Hinton, who’s deep into his act III. That would mean that the real Manhattan project of AI took place in roughly 2018-2022 rather than now, which I think also makes sense; ChatGPT was the surprise breakthrough (A-bomb), and now they’re just polishing that into the more effective fully-realized forms of the technology (H-bomb, ICBMs).