skysight-inc/HackerNews huggingface dataset:
I think this response is more or less fair.

Chomsky has been extremely derisive towards anyone with whom he disagrees. You can see that in the NYT piece but it's been a decades-long pattern where dissenters are automatically morons. That's not a manner befitting a scientist.

I agree that "Chomskyism" has been a "false promise" in some sense. It's not clear to me what Chomsky's linguistics have actually accomplished. Perhaps they gave us a new way to think about language. In that sense, they were a philosophical achievement. But we didn't build anything with them, and that's ultimately the test of science. Meanwhile neural nets got us Google translate and ChatGPT (so far). Now, I don't think philosophy is useless, but Chomsky going after machine learning is a bit like "Jesuit astronomers declining to look through Galileo’s telescope" in that Chomsky is a bit like a philosopher immersed in metaphysics who is dismissive towards empirical scientists who accomplished something much more concrete.

Then there's the question of whether ChatGPT is conscious and whether it could lead to AGI. I agree with Chomsky that it's not actually intelligent in some sense. But I'm not sure how much that matters. If you can build a Q&A machine, whether it's intelligent or conscious is an interesting philsophical question but ultimately beside the point. Anyway, that debate has been raging for 50 years (see Searle) and isn't especially interesting at this point. As to whether LLMs can scale into AGIs, I have no idea, that depends on how we define AGI. To me, one of the lessons of ChatGPT is that we don't need consciousness to build useful AIs.

Chomsky is a humanist. I believe his critique of behaviorialism was based on humanism: he wanted to place humans in a separate category (as philosophers often do). I think his criticism of ChatGPT is ultimately similar. But the worry is misplaced. ChatGPT is in some sense more human than we are. It isn't some foreign, disembodied intelligence. It's based entirely on text we, as a species, generated and in that sense it's a culmination of human potential.
it pretty much is, they removed battery and replaced it with direct power supply from solar panels, they mention some additional energy from buttons but I really doubt that would have any meaningful gains, after all how can you generate energy and store it between keypresses unless you will be constantly pressing button in which case you need third hand
Either I'm confused or the article is. Article seems to keep relating higher complexity to higher organization. But higher complexity is tied to higher entropy and disorganization, not higher organization. Generally, more complexity equals more entropy and less organization. Outside of certain possible exceptions like life (which still obeys it through waste product), is this not true?

It certainly seems to be that way in code, anyway.
Not difficult to imagine coral.ai products being misused since the Drone Wars have started.
I don't get why people worry about "heat death" in 10^30 years. You're going to undergo "plain old death" in 10^1 years, times a constant that is almost certainly not much larger than 10.

I comprehend an abstract scientific interest in it -- a positive emotion of wonder. But any negative emotional connection feels like projecting right-here-now depression. It would be healthier to deal with the actual issue rather than maundering about on something that is not the real driving cause.
That's exactly it. This article is about the wrong half of the problem. I mean, of course, if you have a law enforcement agency with an emphasis on surveillance, they're going to employ open source (in the intelligence sense) methods where practical. Duh.

The question is what is on the market, not whether or not the cops are going to buy it if it's there.

So... what is on the market? It's not in the article!
The large, industrial users are an example of thermal storage, but at a different scale than home heating.

Tesco's fridges are apparently worth about 25-50MW, so like a small grid-scale battery: https://www.theguardian.com/business/2019/jun/23/cool-runnin...

An aluminium smelter is gigawatts, the one in Scotland is 1.2GW, which is a medium-size power plant by itself.

They're easy projects, compared to installing thousands or hundreds of thousands of batteries or new heating systems in homes.
Yes, likewise.

I find it extremely concerning that people are ready to believe, about themselves that the reason they say, "I love you!" is because they're just correlating patterns in their memories of every time someone mentioned those words.
A math professors blew my mind once by telling me that a paper full of errors was still good work and could be salvaged. He went on to say that most good work was like that. In the worst case you end up proving something else, but typically you can prove what you initially set out for. I found that so strange I had to confirm it with another, who concurred.
Also GTK4 is GPU accelerated whenever possible, with really well mantained Rust bindings for it I think the only thing missing would be macOS which I'm not sure what solutions are there.

Another option in this front could be Flutter if write-once run-everywhere is a need for the project. Another advantage is that it's not only GPU accelerated but it's also retained mode.
There’s no such thing as a tree phylogenetically (2021)
Latvia donates drunk drivers' cars to Ukraine's war effort
Genie Cloud: develop, deploy and scale data science apps in Julia and Python
I know that you are reacting to particular comment but Chomsky's article is not denying usefulness of ML in specific domains.
I am not an EE but my understanding is the time varies a bit based on complexity of the design (ie how many layers) but that even if you're willing to pay a multiple of the basic price the shortest you can expect is 2 months. There's physical steps that simply cannot be sped up more than partial inventory simply sitting around in a queue. Googling real quick agrees with that impression.

There's just no way the current approach will get to the days turn around the top comment was betting will happen in a few years. If there was anything even remotely promising that with commercialization in a few years we'd all have heard about it loud and clear.

Likewise, the support equipment, the chemicals involved. There's just no chance of current fab tech becoming a 3d printer like table top device. That would require a revolution even bigger than the original chip revolution.
Canada is bigger, way more diverse, has way more population, and is structurally, historically, and culturally similar to the US.

And speaking as someone who has lived or worked in a couple of those countries: it ain't all rainbows and cupcakes.

Denmark ain't exactly crazy about foreigners, plus there was just an article here about how ruthless they are with data surveillance. There isn't a huge market, jobs are tight, and "tall poppy syndrome" is a thing -- which is a problem for the HN wannabe-tech-mogul crowd. They're not the most open people -- kind, nice, polite -- but also closed off; its not easy to make friends. They're not crazy about immigrants, and there is very much a "for us, by us" mentality; high immigration in Sweden is, like in much of Europe, not popular with large segments of the population.

Outside of some cultural artifacts like Rugbrod or the Copenhagen obsession with fermenting every kind of food, there isn't much you can't get in Canada. Slightly less fat, slightly better dressed, and the English was often better.
I pay because their results are as good as or better than Google, and because they aren't in the business of marketing to me or selling my personal information. That's it.

All this crap with AI and Kagi releasing a browser is a distraction from that.
But the idea of a research project is to find out what is worth doing and what isn't. Do shitty, hard to press buttons actually help? Or would putting just a tiny bit larger solar cells help a lot more. If you're in complete darkness, can you actually press enough buttons to make it playable there too?

There have been many, many really shitty solar projects in the last year, some wasting millions of dollars and euros, and while reasearch is important, it's also important to know what's worth it and what's not.
Because it means that nothing humans build matters and even if we beat all other obstacles and colonize the galaxy it’s all for nothing.
Such solutions are often in tension between using only the lowest common denominator, and the code having different implementation for each platform anyway.

For example, their editor has tabs for editor buffers. Cocoa has a static tabbed widget, which has wrong look and odd UX for this. Cocoa also has a tabbed window type, which isn't a widget you can control. I imagine it'd be hard to abstract that away to work consistently with how Windows does tabbed views. I also haven't seen Windows' tabs being draggable, so that would probably need special DIY solution for Windows which Cocoa tabbed windows don't need.

Anyway, I think native UI toolkits are dying. For most people the Web is their most familiar "toolkit" now, and native platforms instead of fighting that back with clear consistent design, went for flat design and multiple half-assed redesigns that messed up all remaining expectations of how "native" looks and feels.
Why Poverty Persists in America
It's surprising how many Americans seem cool with losing such a fundamental right because it was the basis for getting rid of Roe v. Wade. I guess they assume their guns will keep the government out of their affairs.
> You (essentially) need GPU but here you go

Don't most devs most likely already have a powerful GPU? Maybe I am biased for also being a gamer or having worked in game-development, which requires a powerful GPU anyway.
Wuhan had "pneumonia like" cases back in november. CCP is still at least responsible of keeping it quiet till it got too difficult to handle.
It’s not the right to due process that stops the FBI from gathering whatever data they want on you (all the right to due process says is that your life, liberty, and property can’t be abridged without due process of law)

The right to privacy isn’t exactly even a right in the US constitution, it’s a construction out of a combination of many of the amendments in the bill of rights. And as such anything that doesn’t specifically conflict with a part of the bill of rights is fair game for data collection on citizens. And, because the bill of rights was created such a long time ago, the idea of the government being able to buy such a massive amount of data on you from third parties that it would be a violation of your privacy isn’t exactly written in as a problem. The constitution is getting to the point where it really needs amendments to clarify things for the digital age.
The 24 Hour “Do Nothing” Challenge
Asteroids, nuclear war, climate change, and AI. As the old song says "One of these things is not like the other". We know that asteroids exist and many large ones are uncomfortably close to our home. We know that nuclear weapons exist and have seen them used. We know that the climate is getting hotter (*).

AI is...well, people losing their shit over ChatGPT (**) aside, AI is not going to be real enough to worry about for a few more decades at least.

(*) Anyone who's about to regurgitate some fossil-fuel industry talking points in response, just save your breath.

(**) Above note goes double for this.
The term "immediate mode UI" is about the API philosophy, not about how it works under the hood, and especially not how rendering is implemented (e.g. Dear ImGui records a command list for the whole frame which is then passed to the API user for rendering, this is pretty much the opposite of an 'immediate mode renderer').
I think “indistinguishable” is good enough. As ML generated artifacts become more common seeing flavors of what they generate and common failures will become gradually more obvious. It will keep happening that a new technology will seem very impressive and then after a while the cracks will appear and we’ll all have our sort of internal turing test that separates human from machine.
> Instead, the main reason is that company wants to control who its shareholders are.

Why?

> They don’t want just any entity to be able to become a shareholder and by this virtue, acquire extra privileges and access.

They're early employees, why wouldn't they be rewarded? What makes a random person that just walked in with a wad of cash more deserving?
>Their raise feature is nice, but always finding stack overflow (because I raised it) on top of ACTUAL documentation for a specific topic kinda ruins it.

So you changed the results, and now you are complaining because the results are changed? I don't get it.
Just one small content addition:

Both `&` and `&mut` can be moved to another thread (through
only `&` can be used by multiple threads). This holds even
if the livetime is not `'static`, but requires the usage of
a scoped threads API which use a trick to assure that the sub-thread(s)
can not outlive the parent thread from which the `&`/`&mut` comes.

Originally such an API was in rust/std but it was removed as it was found to not be sound in the way it was implemented, but sound versions of this API do exist(1) since a long time as libraries and there have been efforts to move it back into std (but I don't know the state of it).

(1): For example crossbeam::scope : https://docs.rs/crossbeam/latest/crossbeam/fn.scope.html
You tend to get these kind of emergent behaviors easily when you design a game around entity component systems.
Ah yeah I remember DX9 support was mentioned. That's good to hear though
It's not ChatGPT, but people have made the claim about other LLMs. For example https://www.cnn.com/2022/07/23/business/google-ai-engineer-f...
Sure people may not want to talk about it, but a big part of this is so few people make $xxMM from employee stock.

Yes, if you where one of the first 50 employees at Google you probably made low $xxMM, but it’s a long wait until IPO and the overwhelming majority of people at Google didn’t get anything close to that much. Worse the overwhelming majority of companies aren’t Google style success stories.

Also, don’t forget nobody at Stripe has gotten to cash out yet. Your looking for very early employees, at wildly successful startups, who started 10+ years ago, and are still poking around online forms, and willing to talk about it.
I legitimately scrolled to the top of the post and scrolled back down because I assumed I had missed most of it. The author lists four of Chomsky's points, rebuts only the fourth by saying it was intentional, then insults Chomsky with a vague analogy that could apply to anyone engaged in a scientific debate. Regardless of my stance on the issues this post doesn't seem that good to me.
Because it offends the senses not to be prepared for the Y10^30 Bug when we know about it now.
Why was there so many hired during Covid? I still don’t get it.
Inserting 1.8M Rows/s from Pandas into QuestDB with Arrow, Rust and Cython
I wonder what the standard approach is when the LLM does not return valid JSON data? Do you skip the input data all together, or use the parsing error to generate a valid JSON?
Good article but whats the reason for all the syntetic meaningless images?
That's like saying it's a stalemate.
The have gotten paid for the next month, though. Most payments work fine, and they probably want to continue working with Amazon. It's just that this one payment ran into some sort of problem that this particular team at Amazon doesn't care to solve.

You can absolutely sue them, and that was also my first thought, but maybe it's better to escalate to some other channels at Amazon first. That might be cheaper and faster, and is less likely to ruin your working relationship with them.
Thanks, I'm reading the paper* linked to on that site explaining the technique used in the library. It's encouraging me more to pursue implementing a 2D render on the GPU. I'm also inspired by a recent talk about gkurve**.

* https://jcgt.org/published/0006/02/02/

** https://m.youtube.com/watch?v=QTybQ-5MlrE
I visited Poland last year and couldn't read anything.

People would get angry at me, because I couldn't read they were on a break.
How much safer has construction gotten?
But you are going to die. Why did you study then?
This is a reference to the HN comments on the Dropbox launch, right?
> Drawing the UI is never the bottlneck in a text editor...

Unless you're using a webview, which is... unfortunately the case for some of the popular code editors available. Sad times we live in.
ngrok-go: Ingress to Your Go Apps as a `net.Listener`
Eventually it was good for Romania but IIRC, the initial collapse was very bad for the locals.

But again, I'd say that Eastern European modern history is my weakest subject by far. I probably should avoid talking about this subject lol.
I asked ChatGPT to assume "word" is a number, ignore numeric digits (ie 0-9) and assume the characters in "word" are digits. Also assume "word" contains the largest possible digit. What would it conclude the base to be.

Well...ChatGPT has been struggling. It generally struggles with anything subtle, no matter how simple. If it can't regurgitate based on what's slurped up from the internet it struggles.

Do note, my question is simply meant to assume i am using a-w as my digits and "word" is a number formed via a positional number system. It is something a human with requisite knowledge will veer towards, ChatGPT doesn't.

To your point, it is indeed an awe-inspiring tech for the thing it is good at, ie replacing the current crop of search engines.
std::thread::scope was reintroduced in 1.63
I am way, way, way far from an expert on AI. Not even particularly interested in it. But is it really fair to say these models just give you the next likeliest word based on training? If that were true shouldn't you be able to replicate what they can do with a really advanced Markov chain?
I've considered this possibility, but only in the context of the simulation hypothesis. Could you elaborate on what you mean?
I asked it "what is a memory model in computer science" to see how it handles something slightly obscure. Its answer:

> The multi-store model (also known as Atkinson–Shiffrin memory model) is a memory model in computer science that describes the interactions of threads through memory and their shared use of the data. It allows a compiler to perform many important optimizations.

> More info in the History and significance section of the Memory model (programming) Wikipedia article.

It seems to think that the Atkinson–Shiffrin memory model is somehow related to computer science, which it is not. It's a model of human memory. And that article it references does not once mention the Atkinson–Shiffrin memory model. At least it's easy to verify.
You are right to question such statements, but let me add more input: I think everything Lukas Pope does is a work of art.

The man is an artist. An artisan. He makes no two games the same, and he is not a copycat. He really explores the design space and comes up with something novel.

I think he is the best game designer of this age. Sorry if it sounds hyperbolic, and you'd be right to doubt it -- but he truly is.
I really enjoy this style of graphics. I'm looking at a similar path for a game concept I am experimenting with.

From a technology perspective, 1bpp lends itself to some pretty hilarious optimizations relative to AAA ray-traced alternatives.
To my mind Chomsky and Aaronson are talking about different things. Chomski says that LLMs are not AGI and they will never be it. Aaronson says LLMs may be a way to AGI.

This ideas do not contradict each other. Chomsky talks that LLMs is not sufficient to create AGI, Aaronson says that LLMs is essential to create AGI. A cause can be essential but not sufficient, nothing wrong with it.
Privacy is not a fundamental right. Not everything the internet likes is a right divined by God.
Hi, I'm the original author of the QuestDB Python client library and benchmark.

It all started when we had one of our users needing to insert quite a bit of data into our database quickly from Pandas. They had a dataframe that took 25 minutes to serialize row-by-row iterating through the dataframe. The culprit was .iterrows(). Now it's a handful of seconds.

This took a few iterations: At first I thought this could all be handled by Python buffer protocol, but that turned out to create a whole bunch of copies, so for a number of dtypes the code now uses Arrow when it's zero-copy.

The main code is in Cython (and the fact that one can inspect the generated C is pretty neat) with supporting code in Rust. The main serialization logic is in Rust and it's in a separate repo: https://github.com/questdb/c-questdb-client/tree/main/questd....
Honestly, I thought they'd help illustrate the ideas. But maybe not! Thanks for the feedback :)
I was looking to replace my logitech web cam and went down a rabbit hole of using fancy DSLR for video conferencing ... then I decided I don't need higher quality than the c920
Continuing our efforts to lower the barriers for users to build applications on Golem, we are excited to announce the launch of Dapp-runner and Dapp-manager! With these new tools, running and managing decentralized applications on Golem Network is now easier, faster and no longer requires extensive programming skills. Full article here: https://blog.golemproject.net/golem-releases-new-tools-to-si...
You’re going to die too, does your life not matter? Everything is temporary, and in one sense, that is what makes it special.
No, racially-motivated prejudice in either direction between your parents and your wife's parents is, in fact, also racism, despite the fact that neither group was born in the south or has "overlapping culture". Xenophobia is a form of racism; globally, it's probably the most common form.
Dammit, I just about came to terms that life has no point, and now such a surprise?
Flip side, it's not uncommon for me to do 200+ searches a day. My lowest month was 900 searches but I went over 1800 frequently. Not worth $25/m for me personally at that point. I was sold on the idea of being grandfathered in at $10/m...
It's not about rendering static screens at 120Hz, but rendering anything that's animated at a smooth 120Hz.
At a previous job we used https://gitmoji.dev, which scrumoji is based on. At some point I started using the ladybug emoji for bugs because it's actually a bug while my colleagues kept using the caterpillar emoji because they preferred caterpillars. I thought it was a nice way to bring some individuality into our commit messages!
Sportyfun – Find a better place to play worldwide
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Seems like the article fails to realize that the more popular an application is, the more likely it is to be deleted. Which is a very basic assumption to make.

Also, it might be with something with how hard it is to uninstall the app in a specific platform. For example - I actually didn’t have a “delete” button for the Facebook app on my previous phone. This might popularize the search term significantly.
Or GP's eyes got worse.
He writes a great reply to this in his own comment section:

"Michael #3: In a certain sense you’re right. The language models now being adopted by millions of programmers don’t write working code; they only seem-to-write-working-code. They’re not, unfortunately, already doing millions of students’ homework for them; they’re only seeming-to-do-the-homework. Even if in a few years they help me and my colleagues do our research, they won’t actually be helping, but only seeming-to-help. They won’t change civilization; they’ll only seem-to-change-it."

[0] https://scottaaronson.blog/?p=7094#comment-1947189