skysight-inc/HackerNews huggingface dataset:
Now that I've had the opportunity to actually run the code and test it against the input from the article, here's a corrected version:

fn find_zero_one_indices<I>(input: I) -> Vec<usize>
where
I: IntoIterator<Item = i32>,
{
let input: Vec<_> = std::iter::once(0).chain(input.into_iter()).collect();

input.windows(2)
.enumerate()
.filter_map(|(i, window)| {
if window == &[0, 1] {
Some(i)
} else {
None
}
})
.collect()
}

There's a limit to how much time I'm willing to spend on this, which I see as tangential to the point I was attempting to explore in my original comment, which was about how the opacity of the APL syntax made it difficult to engage with the ideas; and how using an alternative syntax might make it easier to engage in a discussion about algorithms.

(Yes, I realize the article comments on this. Still, it's difficult to engage with those meta-ideas because the article's analysis relies heavily on APL syntax and constructs.)

To really understand the point being made by the article, I'd need to follow it step-by-step, and attempt to translate each code fragment it's discussing into something comparable in another language; and then attempt to see how those fragments or functions compose, or fail to compose, in the same way that they can in APL. I'd need to see a side-by-side comparison.

True, the Rust code above is a lot longer than "⍸(⊃⍵)@0⊣¯1⌽0 1⍷⍵", but I question to what degree it's less modular. The constructs that the Rust code relies on, like `chain`, `windows`, `enumerate`, `flat_map`, etc., are (as far as I understand) similar, general-purpose constructs analogous to APL operators (or whatever the right term is). They can even operate over higher-rank spaces in conjunction with suitable libraries.

So it's not immediately obvious to me that the APL code fragments discussed in the article do not have analogous code fragments in languages like Rust. Perhaps this dimension of higher-order programming (rank-agnostic code? would that be a correct description?) is most useful in numerical computation, which is not my forte.

Or perhaps it's gone over my head relative to the time that I've invested in it, and to understand the ideas I'd need to read it more carefully, like an academic paper.

(Remark: Insert "your favorite language here" in place of Rust. I chose Rust in my example simply because I'm learning it; not in an attempt to proclaim it as superior. I believe Java and Python and most other modern languages could probably express the algorithm similarly.)
Independent sources of information with a reputation for accuracy and unbiased reporting generally agreeing on something is literally the best we have for being informed about something we did not personally witness. Refusing to accept consensus positions from good sources should be done VERY carefully and has a high risk of reaching conclusions that are wildly inaccurate. You'd need a very good reason to reject consensus - one that's based around the available facts, not just negative personal impact or discomfort.

Declaring, without an argument that is not circular, that a collection of respected sources are all wrong (or lying) and that the truth must be something different is, by definition, a conspiracy theory.
my favorite of this is Episteme - i spend a lot of time thinking about how we know what we think we know, and wish that more people did as well before mouthing off completely incorrect or unexamined beliefs (esp not understanding when the dependencies under which they are true, are no longer true).

p.s. TIL that Odysseus was forced to be a sex slave for 7 years?
Interesting release. Aside from some personally needed better support for Asus motherboards, there's some steam Deck upgrades: https://www.phoronix.com/news/AMDGPU-Linux-6.4-Steam-Deck-PW...
According to https://w3techs.com/technologies/overview/content_management, yes, by a large margin.
I doubt much effort will go into X. Wayland scaling is getting better.
Anti-Subscription Software Catalogue
I love how this thread goes completely off the rails almost immediately.

In the grim darkness of the internet, there is only eternal flamewar
As other poster mentioned, each nuscale module is fully self contained. Not only that, but they've modeled every module having a simultaneous scram in a 12 module plant, and modeled that the water level was lower than nominal. Still walk away safe.
(EDIT: I'm understanding you to say "there is no world model in there". This was written as a counterpoint to that.)

Counterpoint by example:

Imagine someone reads the first half of the original article, and then closes their eyes and (without peeking) writes both:

(1) The rest of the article, verbatim

(2) All of the hacker news comments on this article's posting here, including yours, and this one.

If this person existed, would they not have built a very successful world model?
Would they have to physically send someone to the small claims court? The dispute is over $300 and continued unauthorized credit card charges. The cost of sending a lawyer is already pretty punitive.
The rise of ChatGPT-enabled GitHub spam
Grammar models already exist and have for years. I think giving GPT access to one would be the right approach there.
https://archive.ph/ynd48
It's not just the ability to correctly answer this, but the consistency.

I asked this exact question to the `oasst-sft-6-llama-30b` model and it was able to consistently get the correct answer. I then tried the smaller `vicuna-7b` model, and while it usually gave the correct answer, there was the occasional miss.

Interestingly, `oasst-sft-6-llama-30b`'s ability to answer correctly seems to be fairly stable across multiple configurations. I tried various temperature settings from 0.2 up to 1.2, different topP configs, and they all answered correctly.
This cynical take ignores that in free societies, such efforts are far less effective than in closed societies with no free media and no tradition of civic participation and civil disobedience. COVID showed that very well.
Tell it to Intel and their secureboot keys.
My emerging conception of this is to split this into two separate questions:

1. Is the architecture _capable_, i.e. is it possible for a model with a given shape possible to perform some "reasoning"

2. Is the architecture _trainable_, i.e. do we have the means to learn a configuration of the parameters that achieves what we know they are capable of.

Recent interpretability work like that around Induction Heads [1] or the conclusion that transformers are Turing complete [2] combined with my own work to hand-specify transformer weights to do symbolic multi-digit addition (read: the same way we do it in grade school) has convinced me that reasoning over a finite domain is a capability of the even tiniest models.

The emergent properties we see in models like GPT4 are more a consequence of the fact that we've found a way to train a fairly efficient representation of a significant fraction of "world rules" into a large number of parameters in a finite amount of time.

[1] https://transformer-circuits.pub/2021/framework/index.html

[2] https://jmlr.org/papers/volume22/20-302/20-302.pdf
When I was getting started with my laser engraver, I used the Great Wave as my template image. It translates to black and white quite nicely. Since the laser has a power range, you normally use grayscale but dithering also works. The stucki and jarvis options are both very good.

To me, dithering reminds me of early Macs (just like the link).
Surprised to see this, mind sharing the experience?

How did the lock fail? Was there a more reliable fix?
Contact Form 7?
LLMs are not very bad at reasoning. People say this but struggle to demonstrate how.

There are many types of reasoning. For some like abstract analogical reasoning, LLMs are top % performers.

https://arxiv.org/abs/2212.09196

There's many papers at this point demonstrating pretty strong reasoning. From Casual Reasoning, and explanatory reasoning to algorithmic reasoning.

https://arxiv.org/abs/2305.00050

https://arxiv.org/abs/2204.02329

https://arxiv.org/abs/2211.09066

The only kind of reasoning that's somewhat lacking is logical reasoning. And even then it's not awful, just lagging behind equivalent human performance.

So someone really needs to tell where this oft repeated "can't reason" rhetoric is coming from. Because the numbers sure as hell don't support it.
I had similar thoughts and then jumped into SGI IRIX. Expensive as it gets, but frankly best computing experience I have had! No regrets.

I did have some dependence, but it passes and I am glad to have that perspective which can come from using distinctive computers.
Coalton static typing doesn't actually work, there's an issue filed that it breaks as soon as you do any mutation.
You don’t need a lawyer to issue a chargeback.

Agreed about the FB blacklist though. Sometimes I think I should set up a bunch of shell LLCs for my consumer accounts.
GPT4 had no problem with this. Which model are you running? https://sharegpt.com/c/edmPzmP
> citizens or social fabric

Consider "polity".

https://ahdictionary.com/word/search.html?q=polity
Necessary mistakes isn't a blank check to put pre-alpha software and hardware on public roads, then dare regulators to act.

There's likely a lot of survivorship bias in your analysis. I'd wager most of those examples are success in spite of assholeness, not because of it.
Funny you say that, I was just trying to get this to work! Do you get good results? For some reason I can't get sd2.1 to include the "lazy dog".
On the subject of grammar, Greek grammar (ancient? I assume this one has carried into modernity) has a handy construction I like in the form of the particles μέν and δέ, used to highlight counterpoint/point through something closer to grammar than word semantics. You might see it translated as "on the one hand x, on the other hand y" or "while x, y" or "x, but y", in English, it loses a lot of its punch. Like the verbal act of holding your hands up to demonstrate in a gesture the balance of the ideas.
Contemporary?

Belarusian KGB, Chinese Ministry of State Security and United Front Work Department and 610 Office, Cuban Intelligence Directorate, Iranian Ministry of Intelligence, Haitian Service d'Intelligence National (funded by the CIA), Israeli Mossad, Pakistani ISI, Myanma OCMSA, North Korean Ministry of State Security and RGB.
I disagree. The question,

> Has science ever observed speciation via natural selection amongst a sexually reproducing cohort?

posits a world where we can iteratively ask-and-answer questions if scientists are paying attention to speciation. The fossil record provides many many snapshots of different beings, from which we can infer speciation. By seeing the split _as it happens_, we can test hypotheses.
Good news, progress on pkgbase is something I am excited about.
That may be how they interpret their job description, but it's not the job the taxpayer pays them to do, certainly not when it comes to lying domestically.
This one does seem too expensive for what it is. The GBD-200 at $150 seems much more appropriate for a smartwatch-lite, besides scratching the itch for a modern take on the old Casio squares [1].

https://www.casio.com/us/watches/gshock/product.GBD-200-1/
moof moof!
The really amazing thing was how after SJ returned to Apple, for a couple of years, the Apple Dev Keynotes were just re-hashing of previous NeXT keynote addresses.

It still kills me that Adobe reneged on their promise of a free Display PostScript license, thus killing Rhapsody and "Yellow Box" for Windows (and it's still hilarious to me that that colour was named for Bill Gate's rude response when asked if Microsoft would develop software for NeXT, "Develop for it? I'll p** on it."
Defining “Downtown”
I did actually run into their problem on my gpt-4 prompt, but it was reasonably correctable.
Seriously! I am so used to the tone down presentation, seeing that thing is like, "Oh HELLO!" Got my full attention for long enough to be notable.
Comparing against playing the song on radio (divided by how many listeners the station has), Spotify doesn’t look too bad.
> including our own

Their "job," insofar as it requires lying to people, explicitly does not include lying or manipulating the American people.
Isn't the point of low|no-code that you don't have to reach out for agencies or consulting?
Yeah we all know what you're talking about, you don't have to explain it. Testing is not the universally correct strategy for every case, and unless you take the time to understand their use case, you're really not in a position to understand the tradeoffs or make value statements about their work.
Or David Pogue for his nasty comment about SJ using a ThinkPad to run Windows 95 (it of course ran NeXT/OPENSTEP).
> Why class action this and not small claims?

Not OP but I’d think to hold FB accountable and stop this behavior.
The question was

>look up what Ed makes on Spotify per play, vs what the average person would

How does Ed Sheeran make per play, and how does that compare to the $0.003 that (I assume) the average person makes?
Expression-based and supporting macros are two big features JavaScript lacks that the ones with the close resemblance have. Subjectively, they also have constructs in common that make coding relatively similar (although the presence of features like CLOS, continuations, and multimethods can have a pretty big effect). And yes, they use the same S-expression syntax. (Although you can be a Lisp without it.)

In fairness, R might be closer than I realized since I’ve never done extensive programming in it.
I've only really looked into the case involving “Thinking Out Loud” and Marvin Gaye's song, “Let's Get It On". I'm not music buff, but when you listen to them, they are completely different. There is no similarity at all.

Sheeran's claim to the court he was going to quit music stuck me as beside the point - I hope the jury didn't hear that, lest it influence their verdict. The question for them was if there was infringement. There obviously wasn't.

This meritless lawsuit was always going to fail. But Sheeran was fortunate to have deep pockets. He can afford to defend meritless lawsuits. The bigger issue is how to deal with large companies suing independent artists, and the consequences they should suffer for instituting meritless lawsuits.
> WordPress has been and remains the default CRM since the inception of free/low cost hosting.

Not quite. In the very distant past Movable Type was the incumbent and WordPress was the scrappy upstart trying to displace it.
this is great, thanks!

we miss you on irc
The median man on the street can say "I don't know"
dos.exe was kind of referring to how a lot of games would just completely ignore DOS even before the days of protected mode and 32 bits, im going back to the 8088 days.

but yeah same idea.

actually now that i remember it, my first linux was a copy of ... i think Dragon Linux? It used Dos as a bootloader, it ran off the existing DOS FAT filesystem so you didnt have to mess with partitions, and it dealt with the filename-too-short issue by keeping a dot file in each directory with a list of the 'real' linux long names and how they matched the DOS fake shortnames.

but like even windows and linux, they are having layers and layers of abstractions. trying to do anything in X11 or win32 API calls, compared to the before-times where you just write directly into RAM at A0000 to draw pixels.. there is something about that that is very interesting.
> even the number of letters in words.

This one isn't surprising at all: it doesn't deal with letters, but symbols. It only indirectly knows about spelling.

> In contrast, its ability to explain grammar is terrible. It misidentifies parts of speech, singulars and plurals, the subjects and objects of verbs,

I wonder if this is an area where having to generate word-by-word an immediate final answer immediately is killing it, and if it could be induced to "diagram" a sentence first and get a correct answer. Can you give me an example of the query you're asking?
>2 critically acclaimed TV shows

I tried to watch them.

My opinion is that they were critically acclaimed because the subject matter was popular or outrageous not necessarily because they were good. There aren't any sympathetic characters in fleabag - its a tale of a mentally unstable desperate neurotic woman as she goes from revolting situation to revolting situation through bad decisions she's mostly at fault for. It isn't funny. If you giggle when unlikable people talk about anal sex this may be for you.

Killing eve was a tv show that embodies "mid" in every way, except its about lesbian/bisexual bait so it wins awards.

>Solo, Indiana Jones 5,

Solo was a bad movie and the first star wars film to actually lose money, and indiana jones 5 hasn't been released yet so I'm withholding judgement.

>Taking into account the number of episodes she wrote for both of these series, she actually has more writing credits than her 3 credited NTTD co-writers.

Writing 1000 episodes of those shows isn't comparable to a single good bond film. This is why quantity and quality are not the same.

>A story credit is given to a writer that participated in writing the treatment for the film (i.e., the outline), in situations where a treatment is drafted before the script itself is written. A story credit is a lesser credit in Hollywood.

Ya, the other writers have writing credits, and story credits, and 20 years of history writing bond movies.

>Where there is overlap between the story by and screenplay by credits, it means that the original writers' first draft(s) weren't filmable and another writer had to be brought into salvage the script.

https://www.indiewire.com/features/general/heres-how-phoebe-...

>“[I was asked to do] dialogue polishes and to offer things really,” she said. “It’s about just offering different alternatives.”

>She went on to say “they did give me some scenes and then be like, can you write some alternatives for this or have another idea about where it could go in the middle or how it would end. And then I would just give them options and various scenes and then they would take what they want. But there was a lot people writing — the director [Cary Fukunaga] was a writer on it as well. And there’d been a few writers before.”

They didn't bring her in to salvage the script at all. They brought her in to do polishes of dialogue and to give them some ideas about how things could go and they'd take what they wanted. What about this reads salvaging?

She got the invited because one of the film's producers, Barbara Brocolli, invited her to contribute. in my opinion because they were looking to add female writing credits to the movie as the academy awards had suddenly introduced diversity requirements to be considered for awards and all the writers up to that point were men.
Yes, but even if you take into account regional temperatures over land like in Brazil or Florida vs. New York, I don't see how 1 or 2 degrees F would have a bird go that much further North when it is only for a few months. I proposed another possible cause - deforestation or food supply, since they are from places like Brazil and Florida, and they have been spotted in NY before this, and I still don't see how a few degrees is enough to have a bird go 1500 to 3000 miles further North in substantial numbers.
With red headlights you may see better, but other drivers (and pedestrians) are going to have a harder time seeing you, especially in daytime rain, which is half of their purpose.

Use a red flashlight (or filter) if you need to find stuff in a dark room without waking up the occupants.
The Windows 11 Settings app may show ads in the future
Can I use this in a website to make a terminal embedded into the site?

Basically I mainly want to use the styles
I'm probably not understanding fully, but I really struggle to see why we wouldn't believe emergent behaviour is possible, if not likely, with larger models.

At its core, what larger models enable is deeper abstraction. Imagine a CNN with a single kernel, for example. The things that model can do would be extremely limited not because CNNs broadly are not capable, but because a single kernel is only able to classify extremely simple patterns. As more kernels are added the network's ability to classify more complex patterns grows.

So I suppose in some ways you could argue that there is a simple scalable trend here, more size -> more complexity.

But on the other hand, if you're looking for a network with a specific ability, say one which can classify an image of cat accurately, then this ability is more binary and will "emerge" at a certain network size.

As I've said in other comments, to accurately predict the next word in a complex piece of text you need to be able to reason. I can't say for sure if the architecture of current LLMs are capable of reasoning, but assuming it is then we should at least expect the ability to reason to begin to emerge at a certain network size.

Or we could think about this another way... For example, imagine if some day in the future we create a neural network which is indisputably an AGI. If we scaled back that network's size while maintaining its architecture it likely wouldn't be an AGI. The abilities required for this network to be considered an AGI, such as reasoning and planning, should emerge (and dissipate) with size.

So the assumption that more complex abilities would continue to emerge with scale – given the architecture permits – seems clear to me. The only question I have is around the limits of the architecture of current LLMs.
My child played through all the levels a while back.

This has positive impact on kids.

All I can say is thank you. That's really my only feedback. Thank you.
If this is true, then cancel the credit card, and get one from someone else.

Later, reapply for the one you cancelled. They’d love to have you back.

(Though, honestly, I’ve never had this problem where I say “this charge is unauthorized, please treat my number as stolen to prevent further fraud”, and then the bank says, “OK, but we have to continue to honor payments the thief set up with the old number”)
I make a Cantonese dictionary app for Windows/Mac/Linux, similar to Pleco (has multiple sources, coloured characters for tones, etc)!

https://jyutdictionary.com/
The frontier probably didn't really move all that much, conceptually.

Someone probably is writing open CUDA lib right now, or spending another half-awake night improving Nouveau open graphics driver, or trying to tell if NTFS is even worth pushing on with...