skysight-inc/HackerNews huggingface dataset:
Astounding how so many languages and programmers don't make the clear distinction between "debug string", "canonical string", "human readable string", etc. There is no such thing as a totally generic "to string" function for any nontrivial program.

The approach I'm most a fan of is functional languages where everything has a fixed canonical string representation (even cooler when you can convert the string directly back to code), and everything else you must explicitly create a function for.
That seems like a mistake since heat can transfer e.g. via contact without any electromagnetic emission. In fact, that is what I think happens with the sensor also, given that there is an IR filter in front of it.

But I may misunderstand your comment.
yes but LLM illegal moves often are not chessy at all. A chessy illegal move for instance would be trying to move a rook when you don't notice that it's between your king and an attacking bishop. LLMs would often happily play Ba4 when there's no bishop anywhere near a square from where it could reach that square, or even no bishop at all. That's not chessy, that's just weird.

I have to admit it's been a while since I played chatgpt so maybe it improved.
I've been using NotePlan (https://noteplan.co) with the Projects + Reviews plugin. It's been a game changer for me. The (almost) perfect combination of tasks + notes.

I also manage my personal stuff with it.

It's a paid macOS app but, IMO, worth every penny.
Python isn't just glue, it's an implicit JIT ecosystem
Talking of anecdotal, 4o with canvas, which is normally excellent, tends to give up around a certain context length, and you have to copy and paste what you have into a new window to get it to make edits
What frustrates me about Bayesian NNs is that talking about "priors" doesn't make nearly as much sense as it does in a regression context. A prior over parameter weights has no interpretation in the way that a prior over a regression coefficient, or even a spline smoothness, does. What you really want -- and what natural intelligence probably has -- are priors over aspects of the world.

Francois Chollet's paper on measuring intelligence was really informative for me on this front; the "priors" you should have about the world are not half-cauchys over certain hyperparameters or whatever, but priors about agent-ness, object-ness, goal-oriented-ness, and so on. How to encode that in a network...well, that's the real trick, right?
It isn't a binary does\doesn't question. It is a question of frequency and "quality" of mistakes. If it is making illegal moves 0.1% of the time then sure everybody makes mistakes. If it is 30% of the time then it isn't doing so well. If the illegal moves it tries to make are basic "pieces don't move like that" sort of errors then the predict next token isn't predicting so well. If the legality of the moves is more subtle then maybe it isn't too bad.

But more than being able to make moves, if we claim it understands chess shouldn't be able to explain why it chose a move over another move?
i was all-in on simple hand-rolled CSS for the longest time but finally gave Tailwind a try because of a work project. it was a pleasure to use once i did.

i like to use it with DaisyUI also. the part i like is that all the classes i need are already written so its just putting pieces together.
Local laws. Lol.
The scale on that plot is cut off to emphasise small-ish variations. It is practically uniform.
Essentially, yes. What I don't see is their claim that it's a "much greater annotation burden". Compared to what? Rust today just doesn't allow this at all, and if you use a wrapper type to simulate it, you definitely end up with more "annotations" (boilerplate).
This is obviously false: consider a (cryptographic) pseudorandom number generator.
That's entirely typical for graphics driver release notes.
I am also a Mandarin speaker, and a very interesting thing happens when I try to read classical Chinese by dictionary or my modern understanding of the language: It's vague, lacking nuance, and basically unreadable. It requires very talented translators and skilled academics to make readable modern translations.

For classical Chinese poetry, the best English translations have been other poets, even though most have been unable to read any Chinese! Check out "Lament of the Frontier Guard" by Tang dynasty poet Li Bo (李白), as written by Ezra Pound more than 100 years ago:

By the North Gate, the wind blows full of sand,

Lonely from the beginning of time until now!

Trees fall, the grass goes yellow with autumn.

I climb the towers and towers
to watch out the barbarous land:

Desolate castle, the sky, the wide desert.

There is no wall left to this village.

Bones white with a thousand frosts,

High heaps, covered with trees and grass;

Who brought this to pass? ...

https://scalar.fas.harvard.edu/resources-for-loss/lament-of-...

I am sure professional translators would find issues on technical and stylistic points, but could any be as evocative with their own translations?

I think we have to be prepared to give LLMs some leeway with language ... or empower humans (both editors and readers) with the tools to "tune" the translations as appropriate to their tastes, understanding, and subjective needs. This is basically what Korny did, trying different tools and consulting other humans as needed with certain colloquialisms.
Well they certainly have experienced a public relations bonanza over the past week. However:

BlueSky: 13 Million users

X.com: 500 Million users
HP BladeSystem p-series chassis were all DC bus bar powered back in the mid 2000s. You had a power enclosure which provided DC output to one or more chassis in a rack over the bus bar. We were glad to be rid of those blades but it wasn't because of their power configuration.
I much prefer Claude over ChatGPT, based on my experience using both extensively. Claude understands me significantly better and seems to "know" my intentions with much greater ease. For example, when I request the full file, it provides it without any issues or unnecessary reiterations (ChatGPT fails after me repeatedly instructing it to), often confirming my request with a brief summary beforehand, but nothing more. Additionally, Claude frequently asks clarifying questions to better understand my goals, something I have noticed ChatGPT never did. I have found it quite amazing that it does that.

So... as long as this money helps them improve their LLM even more, I am all up for it.

My main issue is quickly being rate-limited in relatively long chats, making me wait 4 hours despite having a subscription for Pro. Recently I have noticed some other related issues, too. More money could help with these issues, too.

To the developers: keep up the excellent work and may you continue striving for improvement. I feel like ChatGPT is worse now than it was half a year ago, I hope this will not happen to Claude.
A recognizable word to represent everything that one side doesn’t like. Ask them to define it. Almost none will be able. It’s the modern version of “socialism,” another big-bad that most people in the USA (which I believe is the origin of woke) will be unable to define.
Yeah I think that's the issue that makes it hard to assess quantum computing.

My very layman understanding is that there are certain things it will be several orders of magnitude better at, but "simple" things for a normal machine quantum will be just as bad if not massively worse.

It really should be treated as a different tool for right now. Maybe some day in the very far future if it becomes easier to make quantum computers an abstraction layer will be arrived at in some manner that means the end user thinks it's just like a normal computer, but from a "looking at series of 1/0's" or "looking at a series of superimposed particles" it's extremely different in function.
I had to switch from Pro to Teams plan and pay 150 USD for 5 accounts because the Pro plan has gotten unusable. It will allow me to ask a dozen or so questions and then will block me for hours because of „high capacity.“ I don’t need five accounts, one for 40 USD would be totally fine if it would allow me to work uninterrupted for a couple of hours.

All in all Claude is magic. It feels like having ten assistants at my fingertip. And for that even 100 USD is worth paying.
I wonder how many of these skins are ported from other apps. I'm pretty sure the big green face shipped with SoundJam, and the one after it is definitely from Audion. (see https://blog.panic.com/facing-forward/)

I still miss controlling my music through a little rocket-bike I drew. That was fun.
This is not about AlphaQubit. It's about a different paper, https://arxiv.org/abs/2408.13687 and they do demonstrate real-time decoding.

> we show that we can maintain below-threshold operation on the 72-qubit processor even when decoding in real time, meeting the strict timing requirements imposed by the processor’s fast 1.1 μs cycle duration
They’ll use whatever LLM is integrated into the back end of their apps. And the developers have the most sway over that.
Scoped – Web standard scoped styles
"Oi! Suzy!"
*taxpayer funded theater
The lawsuit against MLKJ was because he boycotted business.
I would argue against the idea that "MLE is just Bayes with a flat prior". The power of Bayes usually comes mainly from keeping around all the hypothesis that are compatible with the data, not from the prior. This is especially true in domains where something black-box (essentially prior-less) like a neural net has any chance of working.
I have a solution to secure Wi-Fi into perpetuity.
Yes! It's infuriating when Claude stops generating mid response and deletes the whole thread/conversation. Not only you lose what it has generated so far, which would've been at least somewhat useful, but you also lose the prompt you wrote, which could've taken you some effort to write.
It probably can, but how will those algorithms be created? And the representation of both input and output. If it’s text, the most efficient way is to construct a formal system. Or a statistical model if ambiguous and incorrect result are ok in the grand scheme of things.

The issue is always inout consumption, and output correctness. In a CPU, we take great care with data representation and protocol definition, then we do formal verification on the algorithms, and we can be pretty sure that the output are correct. So the issue is that the internal model (for a given task) of LLMs are not consistent enough and the referential window (keeping track of each item in the system) is always too small.
> It requires very little imagination to see how this could be abused.

Pray tell, how do you feel how labelers can be misused as opposed to an app like TweetDeck etc that simply leverages the features of the platform?
That's 2 days of Amazon revenue, invested in a company to then send the investment back as more revenue to Amazon in the form of AWS usage.
They are fundamental to the arithmetic used in analysis and algebra.

One can get along quite well without them once you replace the arithmetic expressions with more general objects.
Well I’m not a local. I could guess there are some English whiskeys and beers and anything else? Which should be really good.
France doesn’t offer everything..
At a rough guess from the audio samples, that array is producing an acceptance angle much narrower than any Soundfield mic is capable of. The noise source is only 45 degrees off-axis; I'd say any first-order microphone polar pattern (i.e. those a Soundfield mic is capable of) would capture more of the noise than is demonstrated here.

Of course, you can improve on the rejection of off-axis sound by instead using a microphone with a more specialized polar patten (e.g. a shotgun mic), but then you lose the property of the pattern being steerable merely by signal processing.

Lastly, such an array of dirt cheap pressure sensitive mic capsules with some clever computation behind them strikes me as the sort of thing you could throw Moore's law at, if you could justify the quantity. Whereas, Soundfield mics don't make much sense unless you're working with very precisely machined pressure-gradient capsules.

Still, I get the feeling it'll be a while yet before this technique starts looking viable for audio production work, but it's very interesting.
There wouldn't be an LLM startup ecosystem without big tech.

Notable contributions: Nvidia for, well, (gestures at everything), Google for discovering (inventing?) transformers, being early advocates of ML, authoring tensorflow, Meta for Torch and open sourcing Llama, Microsoft for investing billions in OpenAI early on and keeping the hype alive. The last one is a reach, I'm sure Microsoft Research did some cool things I'm unaware of.
As a Russian I can tell you: don't go there. You won't understand Dostoevsky fully without growing up in the Russian culture, full of depression, fatalism and похуизм (I don't give a damn attitude). Reading classic Russian literature is the right way to depression and craziness. Just don't do that.
Whiskey then?
Switching to the meow modal editing system from evil Emacs
That just means that the word "breakthrough" has lost it's meaning. I would suggest the word "advancement", but I know this is a losing battle.
It's exactly what isn't captured in the training data. The AI knows what the final texture of an oil painting looks like but it doesn't, know if what it's creating isn't possible from the point of view of physical technique. Or, likewise, it doesn't see the translation from mental image to representation of that image that a human has. It's always working off the final product.
Bill Moyes, Australian 'Birdman' Who Popularized Hang Gliding, Dies at 92
Bluesky: 21.6 Million users

and counting.

https://bcounter.nat.vg/
Hey, I wanted to thank you for this advice! A recruiter from my dream company reached out to me on LinkedIn yesterday about an opportunity. Before responding, I remembered this specific comment and took the following steps:

1. Applied for the job within 30 minutes of the recruiter reaching out.
2. Replied to the recruiter, requesting a quick phone call the next day.

This approach worked beautifully! I just got off the call, and it looks like I’ll likely be doing a technical interview early next week
This is maybe too deep of an analysis. People seem to have amnesia to the fact that "Woke" is now just used as a replacement word for "Politically Correct" or "PC".

It's strange to me that it started out being used amongst leftists as a self-deprecating joke. It's like the reverse of right wingers calling themselves "chuds" now.

It is weird seeing the use of a word change so much as it hits popular culture. "dox" is another such word I can think of that has been taken over by the public and changed
https://archive.ph/lj4Ob
It's really commendable these guys focused on making a fun game. The glowing dots are easy to avoid and even the story they tell is not intrusive. It's an understandable compromise!
Building a web index and search service to compete with Google requires huge capital expenditures and going up against a network effect that Google exerts on the market (often by paying other companies to be the default). The only company to marginally succeed is Microsoft, and virtually every other search service uses Bing's index on their backend. The cost of switching is low but the barriers to participating meaningfully in the market are high.
The recovered documents that showed communication between the whitehouse and twitter resulting in censorship around covid and other issues like the laptop from hunter biden. It was political, hidden and many will say eviler before Musk.
oooooh, got it. That wasn't clear.
2017 Subaru Forester here. The emergency braking on it likely saved the life of the previous owner. The only situation where mine has not met my expectations is when a car ahead of me was making a right turn, and I estimated it as clearing my lane in time but the vision system didn't agree.
Sure, instead of saying "choose" a prior, you could say "elicit". But I think in this context, focusing on a practitioner's prior knowledge is missing the point. For the sorts of problems we use NNs for, we don't usually think that the guy designing the net has important knowledge that would help making good predictions. Choosing a prior is just an engineering challenge, where one has to avoid accidentally precluding plausible hypotheses.
I'm not sure History will judge Merkel kindly, though...
Would love a multiplayer PvP version of this, a la Fall Guys.
Maybe they were thinking of control systems where duplicating memory, lockstep cores and majority voting are used. You don't even have to go to space to encounter such a system, you likely have one in your car.
Transposing Tensor Files
Using your logic, a shared blocklist could also be a way to "harass" people.
Citation needed on the binding rules claims.
> whose only assets are knowledge

Knowledge is quite the useful asset, and not easily obtained. People obtain knowledge by studying for years and years, and even then, one might obtain information rather than knowledge, or have some incorrect knowledge. The AI companies have engineered a system that (by your argument) distills knowledge from artifacts (books, blogs, etc.) that contain statements, filler, opinions, facts, misleading arguments, incorrect arguments, as well as knowledge and perhaps even wisdom. Apparently this takes hundreds of millions of dollars (at least) to do for one model. But, assuming they actually have distilled out knowledge, that would be valuable.

Although, since the barrier to entry is pretty low, they should not expect sustained high profits. (The barrier is costly, but so is the barrier to entry to new airlines--a few planes cost as much as an AI model--yet new airlines start up regularly and nobody really makes much profit. Hence, I conclude that requiring a large amount of money is not necessarily a barrier to entry.)

(Also, I argue that they have not actually distilled out knowledge, they have merely created a system that is about as good at word association as the average human. This is not knowledge, although it may have its own uses.)
Thanks! Macroexpanded:

Do Large Language Models learn world models or just surface statistics? - https://news.ycombinator.com/item?id=34474043 - Jan 2023 (174 comments)
just check out python-based DS tools and see if any will meet the needs of your org: streamlit, jupyter/hex are some examples
I wonder if the difference could come down to electric vehicle owners being more likely to drive locally than gas/hybrid cars?
That makes it sound like impressionism. But the phony details have a more intense bullshitting quality, like the greebles on a Star Wars spaceship.
What are some good examples?

The one a few years ago where Google declared "quantum supremacy" sounded a lot like simulating a noisy circuit by implementing a noisy circuit. And that seems a lot like simulating the falling particles and their collisions in an hour glass by using a physical hour glass.
Generative AI is so cool. My wife (a creative director) used it to help design our wedding outfits. We then had them embroidered with those patterns. It would have been impossible otherwise for us to have that kind of thing expressed directly. It’s like having an artist who can sketch really fast and who you can keep correcting till your vision matches the expression. Love it!

I don’t think there have been any transformative AI works yet, but I look forward to the future.

It’s unsurprising to me that AI art is often indistinguishable from real artists’ work but famous art is so for some reason other than technical skill. Certainly there are numerous replica painters who are able to make marvelous pieces.

Anyway, I’m excited to see what new things come.
That is really well done, congratulations :-)
Malicious NPM Packages Inject SSH Backdoors via Typosquatted Libraries
https://en.wikipedia.org/wiki/Moyes_Microlights

https://en.wikipedia.org/wiki/Moyes_Delta_Gliders

https://www.youtube.com/watch?v=uMN-mS8ykvA
That is not necessary true.

There are at least 4 different types of microphones. Condenser which does in fact form part of a capacitor, dynamic which is effectively a linear generator (coil attached to membrane), ribbon which is a change in resistance as a small ribbon flexes and piezoelectric which is some black magic witg crystals
For a moment I misread your post as suggesting that politicians would abuse government power to attack performing-arts awards in the same way.

Given how a certain politician has whined about the Emmy awards, that seems sadly/weirdly possible now.
It's categorically wrong to say that that's how memory is error corrected in classical computers because it is not and never has been how it was done. Even for systems like S3 that replicate, there's no error correction happening in the replicas and the replicas are eventually converted to erasure codes.
Yep. I start most technical prompts with 4o and Claude side-by-side in LibreChat and more often than not end up moving forward with Claude.
It would have been interesting to know how much time most people spent per picture because if you look at the quoted comment from the well scoring art interested person mentioned:

"The left column has a sort of door with a massive top-of-doorway-thingy over it. Why? Who knows? The right column doesn't, and you'd expect it to. Instead, the right column has 2.5 arches embossed into it that just kind of halfheartedly trail off."

You can find this in almost every AI generated picture. The picture that people liked most, AI generated with the cafe and canal, the legs on the chairs make little sense. Not as bad as in non-curated AI art, but still no human would paint like this. Same for the houses in the background. If you spend say a minute per picture with AI art you almost always find these random things, even if the image is stylized, unlike human art it has a weird uncanniness to it.
I think we used a distill.pub template. Also Jerry wrote some custom BNN fitting code in javascript. I'll ask my co-authors to open-source it.
RSA's Innovation Sandbox: Cybersecurity Startups Must Accept $5M Investment
There is definitely an argument that the ICC's actions showed independence. I was trying to imply that in what I wrote. Maybe I need to be a little more clear. If nothing happens, these warrants go away, no sort of trial happens, etc etc, then it is likely that the ICC will be seen as increasingly irrelevant and ineffective. It is still likely to be viewed that way even if a trial does actually go forward but definitely if this just dies away quietly I suspect many will see the organization as nothing but a tool that some governments get to use when they want, and not an impartial check on international actions. I tried not to imply anything about the warrants, the people they are for or the events they are in response to because my discussion point was about the ICC and not the defendants.
That's fine, I just (subjectively) think that it's difficult to reason about security properties when you have a specific primitive (which satisfies a lot of potentially irrelevant properties)
I am not implying that LLMs are conscious or something. Just that they can reason, i.e. draw logical conclusions from observations (or, in their case, textual inputs), and make generalizations. This is a much weaker requirement.

Chess engines can reason about chess (they can even explain their reasoning). LLMs can reason about many other things, with varied efficiency.

What everyone is currently trying to build is something like AlphaZero (adversarial self-improvement for superhuman performance) with the state space of LLMs (general enough to be useful for most tasks). When we’ll have this, we’ll have AGI.
that may explain Google's excellent customer service! can't wait for antitrust to split them into million pieces...
Typically these threads make me feel useless as a father. Like everyone's kids are contributing patches to the Linux kernel at the age of ten.