skysight-inc/HackerNews huggingface dataset:
i only wanted to limit currently on whatever is going to create server burden and fill api quotas. i already started hitting free quotas on youtube api and a couple of more, and already feel like i may need to upgrade server.

and also wanted to create a fun enough free account, with 256 videos in rotation.
but a strong paid account with 1024 videos in rotation, which is almost around the movie/series rotation of a netflix account.

also youtube is there for everything the creators share, i just wanted to create a "filterable customizable sortable latest videos watching" companion to them not replace them, i guess that is also not allowed by the api usage.
This happened to me once as a kid right as I was falling asleep. It sounded like a car had just crashed into my bedroom. I spent the next half hour trying to figure out what had just happened.

It's only happened once or twice since then but was a lot less scary because I knew what EHS was by that point.
I don't know either. Since the alternative interpretation is a contradiction in terms, you'd think this name would cover the intended meaning.

Maybe something like "unknown length tuple"? chatgpt suggested "arbitrary-length" or "undetermined-length" as synonyms, that could be a more easily understood expression perhaps.
Seems like they have made progress in combining reinforcement learning and LLMs. Andrej Karpathy mentions it in his new talk (~38 minutes in) [1], and Ilya Sutskever talks about it in a lecture at MIT (~29 minutes in) [2]. It would be a huge breakthrough to find a proper reward function to train LLMs in a reinforcement learning setup, and to train a model to solve math problems in a similar fashion to how AlphaGo used self-play to learn Go.

[1] https://www.youtube.com/watch?v=zjkBMFhNj_g&t=2282s

[2] https://www.youtube.com/watch?v=9EN_HoEk3KY&t=1705s
I was thinking that only the track sensors and traffic lights along the way need to be upgraded and the drivers would just drive trains as usual and they would be sequenced on a shorter distance/time between trains. I forgot that trains also have to be connected to the new system.
Ye, quite a few apps don't function correctly if you run the executable directly.

sudo open /System/Applications/Utilities/Activity\ Monitor.app
This applies to any large organisation, not just government.

https://teambuilding.com/blog/end-of-year-budget

However that doesn’t fit into the “government=bad” narrative the US likes.
Yeah motherboards for threadripler have extra power supply connections.

I believe there's a the option to connect two

https://videocardz.com/newz/amd-threadripper-pro-7995wx-96-c...

World record on cinebench with liquid nitrogen pulled 1.6kW
Believing in people isn't religious discourse like believing in God is, or more generally "believing in the coming of superhuman entity," and I think there's no denying that AI safety circles are somewhat similar in structure to 60s, and then later 80s doomsday cult-craze. The setting is different every time, i.e. it doesn't have to be a church-like organisation, it could also be nuclear cold-war, or ecological catastrophe kind of thing; a network of sparse, but also surprisingly well-connected groups, primarily occupied with religious discourse, petty in-group politics of psychosis, all of it contributes to institutional syndrome of sorts.

Sam is very transparent in his self-interest, it's the "patriots" you should beware.
Is your comment best read in Internet Explorer 6?

----

What I'm trying to say is that open standards (and the portability that comes with them) is not something that just happens on its own. It takes active maintenance, and part of that maintenance is opting to adhere to the standard even when it would be more convenient to use extensions available in the most popular systems.

Will you personally suffer from liberally using Bashisms? Not in the first order. But if we encourage that sort of thinking as a rule, the standards become meaningless. I believe that would be a net negative change for the world, but there are many intelligent people who would disagree.
Sorry I don't understand.
What's the problem if you're just storing all programs?
I can store all possible programs today on a hard drive today.

You can easily "store" all programs written in the history of humankind and all those who are yet to be written, in the same way you can "store" all books ever written by humans and those yet to be written (see "The Library of Babel" by Jorge Luis Borges)

The threat to the working programmer is having something that "understands" the programs and tells which ones are "good" (correct, useful, etc), from those who don't work (perhaps because they are a little wrong or perhaps because they are just a random jumble of instructions).

That's what I understand when I read the word "store" in the context of what you've written, but I'm pretty sure I'm misunderstanding something here.

Are you referring to the fact that the incentives behind the current wave of AI is to get them trained by copying all source code publicly available and that that is a problem because these AI models now absorbed the code without honouring the intellectual rights of the authors (and not honouring the license the authors have chosen for their creations)?

BTW, I agree that that is a problem. But it is a problem because of the outputs: the models _output_ snippets of code that is distilled from patterns (and sometimes outright copies) of the code (and other text) it was trained on. The process of extracting that information from the model *is* the process of generating an output.
Nowhere did I say it was about serious intellectual positions. That is why I specifically made the distinction between regular people and academics.

Also it feel funny to be called a westerner based on a city that is actually a 6 hour car drive from where I grew up. And I grew up next to a couple that fled the war, he was a Serb, she was a Bosnian. My parents took them in and gave them our cellar, he got a job at my fathers company (and works there to this day).
Part-1 (Attaching to a Process): https://www.timdbg.com/posts/writing-a-debugger-from-scratch...

Discussion for part-5 (Breakpoints): https://news.ycombinator.com/item?id=37670938 (320 points | 57 days ago | 51 comments)
My cat said the same thing.
Is US on the Verge of 'Catastrophic' UFO Leak? What We Know
Lol, the only math you need for practical graphics coding is linear algebra. Calculus only comes into play when doing e.g. light integrals, and complex analysis only when you start doing advanced convolutions.

The math isn't the problem, the absolutely abysmal API design is. The current generation of graphics APIs were designed for game engines to build middleware on top, not for practical use, and it shows.

Too many hardcoded limits, too many different ways to do the same thing, too many caveats and exceptions... and not enough decent developer tools to see wtf is going on on the other side.
Next year I'll be six. [1]

[1] https://youtu.be/dWfrMMNeK2k
I think more likely it's for finetuning a pre-trained model like GPT-4, kinda like RLHF, but in this case using reinforcement learning somewhat similar to AlphaZero. The model gets pre-trained and then fine-tuned to achieve mastery in tasks like mathematics and programming, using something like what you say and probably something like tree of thought and some self reflection to generate the data that it's using reinforcement learning to improve on.

What you get then is a way to get a pre-trained model to keep practicing certain tasks like chess, go, math, programming and many other things as it gets figured out how to do it.
By "queue" they mean here a table with the columns (job_id, job_status, update_time).

You could store that in a text file, there aren't really any serious requirements.
FP: America is a heartbeat away from a war it could lose
This is the best take, I think. Unfortunately, 1 gets all the press while 2 is what's actually dangerous.
Note that I was talking about writing processes to swap, not killing them!
Can LLM's compute any computable function? I thought that an LLM can approximate any computable function, if the function is within the distribution that it is are trained on. I think it's jolly interesting to think about different axiomizations in this context.

Also we know that LLM's can't do a few things - arithmetic, inference & planning are in there. They look like they can because they retrieve discussions from the internet that contain the problems, but when they are tested out of distribution then all of a sudden they fail. However, some other nn's can do these things because they have the architecture and infrastructure and training that enables it.

There is a question for some of these as to whether we want to make NN's do these tasks or just provide calculators, like for grade students, but on the other hand something like Alphazero looks like it could find new ways of doing some problems in planning. The challenge is to find architectures that integrate the different capabilities we can implement in a useful and synergistic way. Lots of people have drawn diagrams about how this can be done, then presented them with lots of hand waving at big conferences. What I love is that John Laird has been building this sort of thing for like, forty years, and is roundly ignored by NN people for some reason.

Maybe because he keeps saying it's really hard and then producing lots of reasons to believe him?
I think it’s not clear that the causation flowed that way. I think it’s at least partially true that the Republican base was much more isolationist and protectionist than its “establishment” elite, so any significant candidate that played into that was going to get some level of support.

That, combined with Donald Trump’s massive pre-existing celebrity, talent for showmanship, and utter shamelessness got him across the line.

I think it’s fair to say that at least partially, Trump didn’t shift the base - rather he revealed that the base wasn’t where the establishment thought it was.
Effective Altruism Is Pushing a Dangerous Brand of 'AI Safety' ( Nov 2022)
Heeey good lookin,
Whaaaat you got cookin
Drive through daquiri bars
Given how dismissive LeCun is of the capabilities of SotA models, I think he thinks the state of the art is very far from human, and will never be human-like.

Myself, I think I count as a massive optimist, as my P(doom) is only about 15% — basically the same as Russian Roulette — half of which is humans using AI to do bad things directly.
Staying within the same company for 18 years sounds like a mistake to begin with.
Could not run on my Macbook M1, very slow!
I was originally making the point that these models struggle with even basic mathematics (of the true kind, not arithmetic — though of course they struggle with that too). My point here was to play devil’s advocate and be slightly forgiving of the model, since I as a human am likely to be tripped up by similar trick questions. Since we don’t really know ‘how these models think’ (have much idea of the emergent world model they build) we are stuck in constant debate about whether they’re really quite amazing or absolutely pathetic.
This dependence is a thing since someone else made your hunting spear.

Good thing, today way more than one thing needs to go wrong to end in a catastrophy (human error excluded).
I know it can't be this but can't help wondering if it's the same problem digital audio systems have when you stopped playing something without returning the speakers to amplitude 0 :) The next time you play sth there's a loud bang because you return to 0 instantly :)
I can't even put into words how ridiculous this is. Rockstar truly is a shell of its former self.
You make the asumption that Q* is a LLM, but I think OpenAI guys know very well that the current LLM architecture cannot achieve AGI.

As the name suggests, this things is likely using some form of Q learning algorithm, which makes it closer to the DeepMind models than a transformer.

My guess is that they pipe their LLM into some Q learnt net. The LLM may transform a natural language task into some internal representation that can then be handled by the Q-learnt model, which spits out something that can be transformed back again into natural language.
I am still paying for an email service that is not able to do something as basic as sending an email.

I was sending an email to an attorney. Upon reviewing the email in the send emails folder, a previous draft of the email was send, not the newest one - this can incur significant financial risk on me.

This is something Proton perfectly well knows their app does (without any mitigations). A message from their customer support:

Kindly note that we are aware that the Android app does have this issue. It occurs because the draft message was sent before it could be properly saved. If you wait for a few seconds for the draft to be properly saved, the full message will be sent. We sincerely apologize for the inconvenience this has caused.

(And wow it is taking it light, to call it an "inconvenience" when the product you are taking money from incurs financial damage in your customers)

The new beta app was announced in 2021. We write 2023 and the app can still not do something as fundamental as sending an email.

Despite the cry-me-a-river communication (as in the tech debt section of this email: https://proton.me/blog/engineering-team-2021-update) from proton, nothing is happening, and I recommend everybody to stay away from Proton and all its services.

I have been on several projects with tech debt over the past years. But never did we leave the customers hanging over several years, kept charging them, and also damaged them and their reputation.

(And very mature of the official proton account to down-vote criticism)
I know that, but deep learning is more than LLMs. Transformers aren't the final ultimate stage of deep learning. We haven't found the limit yet.
I would mention, that while yes, you can just throw computational power at the problem, the addition of human expertise didn't disappear. It moved from creating an add instruction, to coming up with a new Neural Net Architecture, and we've seen a lot of the ideas being super useful and pushing the boundaries.
Google Maps' new look may frustrate Calif. drivers as Thanksgiving travel begins
So define whatever RSS leaves up to interpretation based on what is already common practice instead of trying to force a competing standard.

Besides there is no guarantee that people wouldn't mess up their "Atom" feeds with similar issues and complaints that their feed doesn't validate won't sway them any more than their RSS not rendering correctly in your reader.

RSS vs. Atom is really the same situation as HTML vs. XHTML. For hypertext people have generally accepted that you need to deal with what is out there and decided to standardize how to deal with garbage in a consistent way instead of asking the world not to produce garbage, which is futile. It seems Atom proponents still need to realize this.
I considered this as well before writing my comment and it's a very good point. Keep in mind that half the tickets cited in the article were over 65 mph, so they also would have been above the speed limit even without the change. The disappearance of the divider and merging of the traffic lanes, which drivers should be able to see well ahead of time, are also very clear indicators that they are entering a town and should slow down.

Louisiana has many small highways like Route 165 where the speed limit changes in towns. Having grown up in the state, I know of many speed traps like Fenton. Most people would know to reduce their speed. However, Louisiana has little traffic enforcement in general and speeding on rural roads is very common.

The state should definitely put up more signs outside the town warning them to slow down. More warnings should be issued rather than tickets as well. But Louisiana also needs to improve its driving.
I might be missing something but it seems like most of the speed up is from quantization which is commonly used already, and the CPU instance used here isn't that much cheaper (~10-15%?) than a GPU instance that could run the model. For high utilization workloads the extra throughput might be useful though.
No I haven't because it is a long solved problem with many mature parsers.
Classic Usability Important for AI
If they're not already in one, you might want to get your kid enlisted in some gifted child programs.
of course. Unfortunately many decent people don't feel welcome. Pre-covid I used to attend many academic seminars out of sheer curiosity for the subject material. I didn't have any pet project or theories, just a quest for academic rigor in a subject. I of course had questions, but I guess that's the differentiation between crank and non-crank: the crank believes they know the answers and the non-crank isn't even confident they really know the question. I will readily accept that I'm some rare outlier ... I didn't really meet anyone like myself.
Is this here https://www.google.com/maps/@30.375952,-92.9118031,3a,48.6y,...

?
When I was young, and experiencing the occasional ringing in the ears that's known as "transient ear noise" or "transient tinnitus" -- as far as I know, the causes are not well-understood. But, as a 7-year-old, or whatever age I was, I asked my parents why this was happening.

I vividly remember telling me that it might be exploding head syndrome, which would eventually cause my head to explode. Obviously, I was terrified. They quickly allayed my concerns, and it's never bothered me since (though, of course, I still get these transient episodes).

Anyway, I've always wondered: Did they actually know about exploding head syndrome, or did they just make it up? Obviously, the real thing doesn't cause your head to explode, but it would be a heck of a coincidence to just make up a real syndrome!
For someone so uninformed about the geopolitical history of India, you speak far too confidently.

This is a common tendency for many Americans, read 10 uni-dimensional articles in your favorite newspaper on some topic, do not bother to read any history on said topic, then come to strong opinions and bully people who see things differently. Maybe it is you who should put down the "propaganda pipe" and consider this issue for the complicated nuanced thing it is.
Didn't know there is scary jailbreak to manage, this is the risk we are going to face it.
AI will be doing graphics programming? Please elaborate, I have a very hard time understanding how current clunky models that cannot generatie a java class without "// here you fill in the implementation" everywhere would go about improving current PBR shader code for example
Authorities are useful within a context. Appealing to authority is not an argument. At most, it is an heuristic.

_Using_ this fallacy in an argument invalidates the argument (or shows it did not exist in the first place)
My bad. You’re right.
oops. Didn't see that
Siri and speech recognition are somewhat different. iOS seems to transcribe my spoken words reall very well most of the time.
Trying out the official Tesla Fleet API [video]
Is this a serious comment? You've bombed and killed several terrorists without any trial?
A good start would be the book Real-Time Rendering: https://www.realtimerendering.com/
Welding for high stress, corrosive, high vibration, high heat and high safety requirements is extremely difficult and highly skilled labour. And rightly so.

Regarding house building, there is only so much that can be pre-produced. Assembly is still on site, and that will always require rework, nobody can affors the site preparation and parts manufacture at the required tolerance levels to avoid that.
> the absolutely abysmal API design is

Oh.. Now I get why others see AI could improve things here :)
InfectedSlurs Botnet Spreads Mirai via Zero-Days
Beautiful result!
I knew about the legs (there was a model in the London Science Museum when I was a kid), but I didn't know about the ornithopter.

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

13 years ago! Wow, how did I miss that?
I'd love to have an LLM on my phone when no connectivity. There are many situations where a personal assistant would come in handy.

In the wilds if Canada somewhere:

Hey google. Lead me through the steps to create a splint and stop the bleeding. My buddy just got attacked by a bear and is bleeding out.

What? That's not a bear? It's a racoon ? Oh...anyway.

Lead me through the steps to start a fire with wet wood and how do I prepare a bear, I mean racoon, carcass for good eating. I have some old copper wire and a magnet. I need to make a phone charger. Lead me through it. Also make sure the fire is smokeless as we don't want to get discovered and sent back to the supermax.
There are a couple of excellent resources out there for implementing 3D rendering from scratch.

On that I cannot recommend enough is this github repo:

https://github.com/ssloy/tinyrenderer/wiki/Lesson-0:-getting...

If you are more of a visual learner, this guy is also a treasure trove:

https://www.youtube.com/watch?v=ih20l3pJoeU
Good thing I don’t need to switch, because I’ve been using it since moving off of IE back in mid 2000s :D

There was a bit of turbulence in our relationship when I strayed to Chrome for a brief moment because of the XUL extension deprecation. I was really pissed off because many great extensions stopped working.

But then I was back in a month, because chrome is just unbearable.
Yes, good find!
IMO the best way to start for a beginner is with Metal. It's a delightfully streamlined API that avoids the idiosyncratic complexity of DX and Vulkan, it's very quick to pick up if you already have some C++ experience, the tooling is excellent. Most importantly, you can focus on GPU programming instead of fighting the API and you get to play with all the fancy tools (mesh shading, ray tracing) with a very low barrier of entry. And all that you learn with Metal translates directly to other APIs.
> Why does this make sense to you? You have some notion of what an absolute value should be, on an intuitive or conceptual level, and the mathematical definition you give is consistent with that (in the one dimensional case).

In my mind abs(x) = x*sign(x) which is why the above formulation seems correct. This formulation is useful, for example, in formulating reflections.

> Instead, you can go back to the conceptual idea of the absolute value and generate a definition for higher dimensional cases from there.

This is an interesting idea...how would you define sign(x) in a higher dimension? Wouldnt sign in a higher dimension be a component-wise function? E.g. the reflection would happen on one axis but not the other.

> Interpreting absolute value as the distance from the origin

This seems to make sense in that it is a different interpretation of abs which seems simpler than reflection in higher dimensions, but seems like a different definition.

I know that there are applications of complex numbers in real systems. In such systems, the complex definition seems to not be as valuable. E.g. if I'm solving a laplace transform, the real number definition seems more applicable than the complex number definition, right?

I've asked wolfram alpha to solve the equation and it lists both answers: one using the formulation of sqrt(x^2) and the other using sqrt(re(x)^2 + im(x)^2) so it seems like there is merit to both...

I suppose in the laplace example, we are actually operating in one dimension and the imaginary component is approximating something non-real, but doesnt actually exist. I.e. any real/observable effect only happens when the imaginary component disappears meaning that this is still technically one dimension. So, since we're still in one dimension, the one dimensional formula still applies. Is that correct?

Your explanation has been the most helpful though, thanks.