skysight-inc/HackerNews huggingface dataset:
1. Google probably uses IP owned by the chip manufacturer (nxp).

2. Google, famously, uses a “monorepo”. One of the perks of this is that it allows a significant amount of code-reuse. They may not want to commit to sharing all the internal libraries they’ve built.
Cool. Thanks. I swear I spend 15min looking around the website and various linked thread for this answer.

Managing electricity. Ok. Hm. I’ve seen shoddy grid. And … yeah. They all use some type of contrôler.

Ok. Anyway thanks for pointing out the obvious page I missed.
And also neuroscience examining whether what we think we did out of choice was really done out of our choice:

https://en.wikipedia.org/wiki/Neuroscience_of_free_will
For a machine to perform equally or better than a human, wouldn’t it need to be general intelligence? That is, it knows that it exists and can think about itself.
Monetary risk, that's why. Cross the wrong people and you'll find yourself extradited to another country and tried for copyright laws you didn't even know existed. I'm honestly surprised OpenAI models know about Disney properties.
I see Russian propaganda is evolving...

Ukrainian language is closer to Czech and Slovak than to Russian. Ukrainian culture is closer to Polish and Slovak culture than Russian.

> They also share a common political heritage with the name of the country meaning borderland (of Russia)

"Kraj" means land or country. Borderland would be "O-krajina". Meanwhile Ukraine is "U-kraijina". Cyrillic О vs У.

The first historic mention of "Ukrajina" also predates Moscow and the Russian Empire.

And you want to talk democracy, Ukraine has had 5 presidents since Putin came to power. Versus 1 in Belarus and 1.5 in Russia (Medvedev counts as half).

> Now almost a decade later Ukraine is neither in the EU nor NATO and its territory has been ravaged by war.

That was Russia's doing not Ukraine's. This is some serious blame the victim mentality. No one made Russia invade.

And if Ukraine would rather suffer through a war than Russian occupation maybe that should be a sign of just how shitty Russia is...

Sorry but no one wants to be in the Russian world. Telling that your only allies are North Korea and Iran and that Lukashenko has even low-key sabotaged your invasion and refused to directly help...

I'm currently in the Czech Republic and I can tell you, everyone here would go to war before becoming a Russian sattelite again... Since joining the EU, this country has become quite rich. Higher GDP per capita and wages than Portugal. Almost at Spain's level. Versus Russia, Ukraine and Belarus being very poor... As for sentiment on Ukraine, there's Ukrainian flags absolutely everywhere. Ukrainian people too. They're even about to elect a former general and NATO Chairman as president...
AI directly threatens the livelihoods of most white collar workers, most of us here included. Of course they'll use any means available to cobble together a cartel to maintain the human monopoly on production of intellectual and creative works. Now is the best time to do it, thanks to the incredible flashiness and popular awareness of these new bits of software.
it's covered by both
1. 90% of the time what happens during step 4 is realization that your tests are crap. So you have to throw them away and start from scratch. Tests are not helping with refactoring, they are inhibiting it.

2. Step 4 is indeed the most important part, and yet TDD priests and scriptures don't cover it at all. TDD is actually distracting you from what's important, because it focuses on steps 1,2,3. Eventually you'll become disciplined enough to not get distracted, and you'll think that TDD works. But the reality is that you never needed TDD in the first place.
"And at least as of now, it is not possible to look at ML output and determine which inputs, nodes and weights created it."
I used to use Crashplan on Windows back in the day, but their interface is (was?) horrible and it's all Java, so when I switched to Mac I compared some options and in the end chose Backblaze.
Bugs are features which were not expected.
Humans also (usually) remember where we saw something and can attribute the source. ML at this point doesn't do that.
Ah, fair enough. I suppose it’s ok to beat those kids, as they’re privileged.
Not really. High end features of mid to high end 14 year old cars that are affordable now are common features today.

You have to remember the cheapest cars are gamed to not make the cheapest vehicle a good value.
In the current climate I would have assumed it was Russian probing of critical infrastructure. There have been isolated attacks on pipelines, transport, and communication cables in various western countries.
+1 for 9:05. It’s sort, simple, and has one heck of a twist.
Remember when we were assured that the vaccine’s spike protein would remain mostly in the injection site at the shoulder muscle or local lymph nodes? And only for a very limited period of time? This was by the experts.
One bad deed vs many bad deeds?

Give it time and wait to see. Microsoft supposedly got less-toxic as it aged, so there’s room for significant change.
Sure. Thanks for the reference.
>is it theoretically possible to have cooling paste be jelly like?

That is already available and used in some Laptops. Look up Honeywell thermal pad.

The problem is as always, cost.
Look at GitHub training it's models on other people's code.

They aren't training it on Microsoft or GitHub code.

> A world where Getty and Disney control even more than they already do.

This is exactly what is currently happening though, it's okay to rip off the little guy artist or coder. The argument here is that one big guy stood on another big guys foot, and as the little folks we shouldn't stand for it either.
The us has poored too much of it's legitimacy into defending Taiwan to just say 'fabs gone, you are on your own'. Deterrence requires a response if lines are crossed otherwise future deterrence is much less effective.

When the fabs are still on the board, the US might be a bit more vigorous, but I doubt anyone assumes fab capacity survives a Taiwan invasion.
I don't understand your paragraph about C libraries. With wheels (which pip can install) there is no problem packing, and linking to, compiled C libraries.
Minimizing the downsides of dynamic programming languages
How Not to Use ChatGPT
We will do our best. It's bot as if we will ignore enterprise accounts but making it easy for everyone benefits enterprise as well. We democratize access for all.
For anyone that spends significant time using these languages, those mental mappings are as natural as the one you seem to think is obvious - then the additional advantages of the approach become apparent.

Exclusive upper bounds mean slices work neatly: a[0:10], a[10:20], a[20:30] etc. That's very neatly represented in a loop from zero in steps of ten. That pattern turns up all over the place when accessing arrays.

I've spent enough time in MATLAB to have been scarred by that kind of array slicing and off-by-one errors.
Very interesting! This would give Japan a real competitive productivity advantage if ML tools are banned or severely hampered elsewhere. It would also mean that other countries would need to ban not just scraping but also the resulting code or AI-generated media.
That's more true of Taiwan's population. Taiwan's fertility rate is set to be the world's lowest.[1] So it doesn't seem like the population is Taiwan's advantage.

[1] https://www.japantimes.co.jp/news/2021/04/21/asia-pacific/so...
Hail Mary is what I was thinking of.

As an aside, try reading Bobiverse.
What is the range on hypersonic missles? Perhaps the defense is avoiding detection and keeping a standoff distance until you want to strike?
AI Nutrition Labels
Someone who can be replaced by AI it sounds like
The first yellow flag here is that someone has a beef with a newspaper for publishing an opinion piece. That's what the op ed section is for.
>AI directly threatens the livelihoods of most white collar workers, most of us here included.

This reads like an argument from the English Luddites[0]

0. https://en.wikipedia.org/wiki/Luddite#Birth_of_the_movement
I actively despise how MATLAB code looks, despite spending years using it. I spent 6 months translating a library to python and it was so difficult to understand what it was trying to do because of how it was represented. I find numpy notation much easier to grok. For sure, you can do interesting indexing that makes it hard to understand, but that isn't even possible in MATLAB.
Better than the apache arrow c++ implementation that's in pyarrow?
I think that we missed the real problem: it's not a responsability of the Ai model to not i fringe copyright, but is of the Ai user to not publish work that may i fringe copyright, like anything else... If with photoshop (or a pen ) i made a work that can infringe law, is photoshop's (or pen) fault or mine?
Well for some values of "meaningful" OK, sure.

But lots of times a plastic bucket, even with a leak, is a better tool for the job than an extruder, mold, and warehouse full of polymer.

I had to build a parallel CI pipeline once that was like: when this, run a FaaS function, then when this that or whipesnicket, run one of these other functions, then run this thing that moves some things from here to there and posts the results to zulip chat.

I literally spent 2 hours in AWS docs, got to "ugh, don't wanna know this, unlikely to use again" and then spent one hour in the serverless docs building it that way, and then it ran for 4 years. (Last year, I finally replaced it with GitHub Actions.)

Admittedly this wasn't a profound and moving tale of heroic ops or anything, but the Serverless framework proved to be pretty nifty for my use case. (Haven't used it since, but would again in a similar circumstance.)
> running on heavily modified Android

What? No it doesn't, HoloLens 2 runs "Windows Holographic" which is based on Windows Core OS.
How to prepare for an emergency (Ukrainian handbook)
It’s an interesting concept. Have you tried using it on your own tasks?

That might be the key is to develop it to be a tool that works extremely well for your own needs.
Struggling pig kills butcher at slaughterhouse in Hong Kong
They would have plenty of land to be self-sufficient if their population was a bit smaller... Lots of countries outgrew their own land due to efficiency gains from globalism (India and Japan also come to mind).
I use firefox folders.
What, why? Unless they vote or are convincing to humans, it's not that worrisome. I mean end of the day, I care about eating well, raising my kids in peace, being useful to others: if an AI tries to convince me to act, it'd have to factor these constraints, in which case it's a useful fellow human able to understand my need and proposing an action for debate.

Wars and disasters are usually pursued by minority groups in charge of means of violence, and manipulation is a way for them to trap you into letting a crack open long enough for them to invade it, but if we cant resist an AI, they deserve the Earth more than us :)
If London is the capital of Airstrip One, then Taipei and Tokyo are the capitals of Airstrips Two and Three; it's not just the fabs.
vast.ai, paperspace.com
Your Wikipedia link doesn’t dispute anything I said.

Taiwan was not under control or rule for the majority of the Qing dynasty.

People were not allowed to freely travel to the island until 1875. It was called a province for ~10 years.

The Qing dynasty rule of Taiwan was shorter than Japanese rule on Taiwan.

By saying that it belonged to the Qing dynasty, we are saying that Russias occupation of regions of Ukraine is legal and legit. They are there so therefore they must own it. Despite the people not wanting to be ruled by Russia.
> 3. It leads to high test coverage which inhibits refactoring (despite zealots telling you otherwise).

The major flaw with TDD is if you get your test wrong, you get the wrong code. The intent is to inhibit refactoring, because the assumption is the tests are correct, so any refactoring must be done within the constrains imposed by those tests.

OFC the tests and supporting design are usually just as flawed as the code. This is why I say the first step of TDD is wrong, write your feature first, not your test. If you don't have a feature, and can't logically reconcile it with your other features, then its not worth even writing the test in the first place.

Tests are just a supporting tool once you (believe) you have the feature written, which functions on one hand to protect the other features you have written (at least as well as they are tested), and to validate that you aren't wildly breaking the system expectations. A large number of tests is a measurement that something is wrong, but it doesn't tell you if the feature itself is wrong or your design is wrong, just that one of the two is true.

That's how it helps you refactor, a "good" design will add new features and few tests will break, as more tests are added and total test failures approach zero over time, you gain some confidence that the system is good. You never gain certainty, just the knowledge that your constrained refactor probably didn't break anything.
I use signal as my primary sms app, for both encrypted and regular text convos. My primary gripe is people who use it to occasionally buy cocaine, amusingly obvious because of the notification you'd get (at least in the past) when a contact in your phone created an account, and it's like 3 am on a saturday. (Ironically it's 3am on a Saturday right now for me.) Ive had more than a few missed communications because they were sent over signal to someone who either subsequently deleted the app, or, thinking of it not as an all purpose messenger, infrequently opened the app and did not see my message til weeks later.
It takes work to create/identify/classify information, both in the economic and physics sense. That work should be allowed the same protections we do other forms of work.

Your example is one where nearly no work was done, thus it doesn't deserve much value. "Let a = the set of all songs" doesn't help me find new songs I like. A songwriter does that work. Another artist that takes and uses and resells that work (without consent), is stealing that work.

To me it's funny that nearly all the problem with the current team of AI generation would be solved if the model generators simply licensed the content they train on. "But that would cost too much" Ok, just use public domain work, "But that wouldn't be as good" Oh so you are saying the work has value, but you are unwilling to pay for it, and instead your scheme is to just take it. That seems like a good definition of stealing - not paying for something that has value.
Most of human suffering, selfishness and shittiness is ultimately a result of life being short and burdened with disease.
Are there designs that don't use thermal paste? As I understand it regardless of solution you need paste or live with significantly reduced conductivity. That goes for any system - fan cooled, liquid cooled, passive,...
The fact that one needs to log out and log back in turns me away from eGPUs as docking stations.

If I ever have the time, I'd like to explore an offscreen rendering solution (Xvfb?), though obviously there's going to be a significant performance penalty to forward that to the actual X server rendering the output. Ideally, full screen apps would be able to simply use the external GPU without much fuss directly.

I am sure I am totally misinformed about what's doable, but I'd like to learn what direction I can expect Linux support to develop to allow seamless transition of apps from GPU to GPU.
Oh, so your system is shaded for 3 hours a day, has a tree over it, is wedged in a small space where 60% of the diffuse light won't hit it on a cloudy day, has no back face diffuse illumination, and you're still trying to conflate a 100% solar single location off grid system with a wind + solar utility scale mix.

Add the same constraints to a nuclear system and it a) does not exist and b) still needs a month of storage for outages.
Thank you so much for this. I will try.

(Apologies for not seeing your response earlier.)
Yes, I use it that way too. But for hard core work I use LibreOffice.
Can you name/link even one such backdoor?
Perhaps the bar is different in different fields. In art, for example, collages are quite legal. And what AI art is doing is way beyond collages.
The approach I use is to have it paper out POCs. I think a huge thing that is missing is ChatGPT’s ability to make interactive code. It should theoretically be possible to write a really simple system that:

(1) makes structured requests to chat gpt based on an initial prompt. That request asks ChatGPT for all of the files associated with solving the problem.

(2) ChatGPT produces each file in a structure fashion. This could range from source files to project files like package.json or Dockerfile

(3) take code output and spin up a corresponding stack blitz or other online resource (assuming those have APIs.

I’m shocked and bummed that there’s not more effort to make this a reality yet. We’ve had ChatGPT for a month and this is low hanging fruit (or so it would seem).
Well, just open a new GPU Colab and create a cell mit „!pip install imaginairy“ and you should be good to go …
My thoughts exactly. But it's a tricky argument as well, because from the point of view of the victim, they're not actually being restrained.
MATLAB does not sidestep that issue. It kicks it back to the user to worry about. Dependencies in MATLAB are essentially non existent. It's up to you as the user the manage everything about them.
There were also three men who attacked a power station and were actually were committing an act of terrorism.[1]

Those three got the idea from the government itself.[2] Which, given the nature of our supply chains, are understandably aware of the vulnerability.

Some people see all narratives as an opportunity to whip up fear, when given the facts, they could more charitably be seen as an opportunity to whip up awareness. Regardless of your ideology, it might be prudent.

[1]: https://www.justice.gov/opa/pr/three-men-plead-guilty-conspi...

[2]: https://www.energy.gov/sites/prod/files/2014/04/f15/LPTStudy...
The examples I've seen don't use a heat spreader, interestingly. A video demo had the CEO saying they depend on the velocity of the air to remove the heat quickly, so no heatsink required.
I can barely understand the state of systems I wrote by hand.
"archeologists discovered a porcelain chair on which one can sit like a throne, with a hole in the center and an elaborate mechanism for flushing water, used for ritual purposes"
The section with the link order stays only on disk, i.e. not loaded into RAM, and is therefore useless to the one who tries to exploit sshd. Especially because the sshd binary is readable only by root now.
I said install. In my company we use it in the browser.
They should post a link to the code. I’d love to explore further.
This doesn’t seem a surprising or particularly deep result, and perhaps we’re having the wrong arguments about LLMs. I certainly don’t doubt that they’re capturing deep knowledge, my only criticism would be that they’re doing so in a lossy and extremely static way.

I’ve come to think of it this way. A simple Markov chain model trained on language would be the simplest example of something picking up a very shallow model of some text. Let’s call that a Layer One model, and we had fun with them for a while.

Machine translation goes one step further - instead of learning just the text it’s given, a model sees that above words are representations of things and ideas, and structures to render those ideas in multiple languages. That feels like Layer Two, but I’m not aware of traditional machine translation models that will take a piece of poetry, for example, and render it in a new language, perhaps using local idioms to capture the essence, if not the exact translation, of some content. So it’s only really one layer deeper.

Large language models are layers beyond this. They are both wider and deeper. They are showing that much more knowledge than we thought can be captured statically - patterns of patterns of patterns of patterns turn out to be enough to store and process a huge amount of what we previously thought was a privileged part of human intelligence. That’s the truly interesting result - the models still seem dumb to me, but boy, being dumb is much more impressive than we used to think.

We’re focused on training LLMs on larger corpora to store more stuff and more parameters and layers to find deeper patterns. But even though they’re clearly learning world models, it’s still just a static snapshot of knowledge. ChatGPT shows over a short span that a model can integrate new information quite well. What’s missing is some mechanism for _constant_ integration of new information, and some degree of internal rumination about past, present and future knowledge. Something algorithmic, temporal and dynamic, not just a static repository of knowledge. I don’t think this actually requires a great deal of magic, just a slight change in direction (although I’ve no doubt this is being worked on and is probably in all sorts of papers already). Of course, there’s still time for us to decide not to do that, but the hour is close at hand.
OpenAI is the result of slow and steady progress in ML. It's not even a good product. It is astonishing in itself though.
My experience is nobody from the massive silent population has ever jumped in to introduce themselves and say they were convinced, and I've never met anyone in real life who says they use forums but don't post just to be convinced by arguments on the internet to choose one worldview or another. From that experience I developed the theory that they don't actually exist.

But anyway, debating the semantic difference between theory and experience seems to be missing the point.
The best eye opener for me was how he programmed / primed ChatGPT using plain English. It's not even psuedocode. It's just human language (structured well).
Albedo is a partner but they have not launched yet. When we post our resolution, it is native not enhanced. In version 1.0 we have not turned on 30cm. We do intend on adding this feature once we finish the QC process. Typically Google earth is Arial imagery in dense areas or approximately 4Ocm inagery. Hope this clarifies.
This sounds really interesting but I have absolutely no idea what you mean. Is the ball the same as the bubble? Why does someone go into it? Who is the “guilty party”?
It has more to do with that the opinion is so over the top and faulty. Read the commentary if you really aren't sure what's faulty with Reid Blackman's "opinion piece."
IIRC, WSL1 was another such "personality". Disappointing that WSL2 dropped that in favor of what's basically a glorified VM; maybe that's just easier to do than maintaining a (presumably clean-room, given the need to comply with the GPLv2 if any actual Linux code was ever used) reimplementation of the Linux userspace ABI?
Rare "dark calm" backup can be done with gas plants. The gas can be hydrogen. Hydrogen is not cheap, compared to what natural gas typically costs, but for rare event backup it doesn't have to be cheap.
The list of things that turned out to be huge after the stale incumbants failed to find a way to make money off it is pretty long.
I wouldn't put it past a Google employee to be involved in a scheme where they paid to have your review removed.
KMT did control the mainland before 45. How is ROC taking back mainland not "unification"?

Disclaimer: My first language is Chinese.
I think that "prompt engineering" stuff went away when ChatGPT came out.