skysight-inc/HackerNews huggingface dataset:
In the 1960s, US auto-makers appeared content to make crappy, unreliable cars until Japanese imports (also crappy at first) came in and improved quickly, putting pressure on the domestics to also improve.

Consumers have vastly benefited from that competition, far in excess of any losses from the domestic automaker labor group.

It’s not entirely voluntary, but if you want to see what protectionism and economic isolation will bring, go visit Cuba. Then hop over to Grand Cayman, Grand Bahama, or Puerto Rico to see what being more integrated but competitive has to offer.
It'll come back; this happened a bunch of times before.
I have an HP colour laser printer MFP just small home one. HP changed something a few years ago forcing people to log in to use their printer. I can't recall what happened but I was able to find a workaround or HP changed or cancelled that demand.

I think the problem as stated in comments is money obviously. But it's the loss of the home market. The "desktop publishing" craze is gone and now it's older people who have printers. That's a big loss of revenue. Printers at home seem to be alien to anyone under the age of 40.
I also don't like where this is going, and can't see any way to make it stop. Maybe some of these illustrators may see their job evolve from content creation to AI training through their art / vision.
It's been hard down for 5 hours now.
It doesn't negate your point, but here in the UK, in a village of <1000, mostly elderly people; with a couple of buses a day; nearest market town is several miles away .. people order shopping online, and some suppliers (eg fresh fish, local farm vegetable boxes) bring a van around.

Even in rural areas you can get supermarket home delivery, it costs a few quid for the delivery but is considerably cheaper than car ownership.

Pretty much everyone has cars though.
I don't partake on those traditional Christian values, so for me, no, it is not even close to okay.
Do you have a link to the tribal reservation ISP story? I can't find anything about it.
So the builds are specified in Earthfiles, which are run by our buildkit backend.

Buildkit runs the builds in runC, so basically containers are used to keep things deterministic, but the buildkit backend isn't shared, each is in own EC2 instance.

So if you could break out or access cache entries that weren't correct you would have found a way to break reproducibility, but not access anything you shouldn't.
Automotive Safety and Cybersecurity: Infineon Official's Support for Rust
Web browsers are agnostic to the programming paradigms employed to code websites in. We might need to bend JS a lot to get FP though. JS has some quite procedural roots/basics. For example the timer API (setTimeout and so on).
Every intelligence agency has said that Russia most likely destroyed the pipeline. Russia claims they didn't.

Western intelligence agencies claimed Russia was going to start a war with Ukraine. Russia also claimed they wouldn't start a war with Ukraine.

I know who I'm going to trust with the current evidence presented.
Opening sentence:

>Britain has fallen behind Russia and China in the global supercomputing race and has a short window to catch-up, the Government has been warned.

I like how subtle the propaganda is here. Or maybe it's not subtle?
So that's a problem with the builder being ephemeral then.

I am fairly sure a docker layer is just a tarfile. If you're just adding, say, python code and performing no execution I feel like you could create the tarfile and add it to the list of layers.

edit - This seemed dismissive of me. It isn't intended like that, I'm genuinely curious as to whether this is the right approach. The post feels intuitively like it's reinventing some things that exist, but perhaps for good reason. I think it'd be nice if everything else was "just docker". Perhaps I'm missing a key point - it feels like just having a build machine with storage would immediately solve the problem, there would be no remote pulling. Is that not a solution?
One of the only Joe Rogan episodes I listened to was the re-do of the Twitter interview. Jack Dorsey let Vijaya Gadde do all the talking, and it was obvious why: she might have been the only person at Twitter with a clear picture of every controversial moderation decision, and a reasonable explanation for the company's decision in each. I can't imagine Elon staying mostly quiet for 2+ hours in any context, but especially as someone walked through the thought processes that led to each of his most stressful days as a CEO.
It has, partly. But a part of the inflation at least in France/Europe is also due to big corp choosing to increase prices because they can (since "there is inflation"). For example Unilever has distributed very high dividends (€19B, for a total turnover of €80B, that's almost a quarter of their total revenue going directly towards to their shareholders while their workers and consumers see nothing), while the numerous products the company sells (which are mostly daily usage food and sanitary products) have seen their prices skyrocket "because of the inflation".
You kind of mean cooking as in "cutting and heating food" it seems to me. It's like saying a person can learn "computing" in a week, where they learn how to write a Word document and print it. Sure, it covers a need, and it's a good start. Everybody should learn some cooking and YouTube is a great instructor, but like everything it takes time and effort to become skilled.
Every single scenario in the COR is negative for a long time, people should stop lying about it to comfort their political leanings. And it's not like it's for short time either, the worst scenario has a negative forecast for the next 45 years. The figures are terrible, regardless of your opinion.

Secondly, 14% of GDP is massive, workers have been paying more and more towards the retirement system, salaries did increase a lot already, it's just that all of the increase went towards retirement

> The elderly have to be supported one way or another.

Nice way to avoid the fact that France spends a lot of money towards high retirement salaries which don't need it. Additionally low salaries live less longer, making the system even more injust.

The way to fix it and transform it into a social system is to tax the high retirements for the benefit of the workers. In a social system the money should go towards the people who need it the most and not the opposite, France's retirement system isn't a social system anymore.
Am I correct ChatGPT can only produce code targeting pre-2020 programs and libraries?
Things are difficult when you can’t just steal from other nations
I think if that was the case Apple would be a much smaller company. People buy iPhones because they "feel nice." And the feel they are talking about is performance.

If you are forced to use an app with bad performance (say Teams) you cope. Humans are great at coping. Maybe you turn it off and back on again periodically, or alt tab to something else while it's showing a spinner.

It's true performance isn't a major selling point but IMO that's because most software products are not sold to users. They are packaged with other products, part of monopolies and imposed to users by others.

I buy video games where performance undoubtedly matters. Apart from that, most software I use, I didn't choose, and I'm pleasantly happy when it's not garbage (Outlook, IDEA) and annoyed when it is (Teams, Facebook). In either case, performance wasn't a contributor to my choice: I didn't have a choice.
The AI safety community has many people who were previously extremely optimistic about the sheer world-changing potential of AI, but then realized that getting AI right might be harder than getting it wrong, and that figuring out how to get it right must be a priority before a superintelligent AI is made. It's not people who just saw Terminator and made up their mind.
Chat.openai.com's visits increased from 600M to 1B in Feb
In February, the number of visitors to chat.openai.com increased to 1B according to Similarweb. These visitors stayed for about 8 minutes on average.

At the same time, the number of visitors to Google decreased from 88B in Jan to 80B in Feb. Maybe it's related, maybe not. Time will tell.
The examples on the site are meant to showcase the features and chatGPT capabilities being where it shines. Depending on the project's context the bot will make great reviews, chatGPT already does a good job at reviewing code if given enough context and that's what the bot is trying to achieve. In the future the bot can be onboarded to a codebase and the overall project for better review and possible code contribution.
It's amusing that parsing theory was already at least 1-2 decades old by the time they made this mistake (consider that ALGOL 60 had a complicated grammar, introducing BNF too). I'd chalk it up to this being a shell language that was evolved rather than designed.
The 6502 was pretty fast little chip: https://imapenguin.com/2022/06/how-fast-can-a-6502-transfer-...

The ARM team decided to design their own CPU because they felt that the available options weren't that much better than the 6502 as they wished them to be.
Performance is obviously important, to suggest otherwise is just silly.

Both Google and Amazon have researched this topic and the results are readily available. First link I found: https://www.thinkwithgoogle.com/marketing-strategies/app-and...

Why do you think there some much time and effort going into improving performance of computing in general. Facebook Lite, android go, GPU's, cpu improvements, 5g, etc.

The important caveat is that once it's fast enough the gains are marginal.
One is a contest to waste the most resources, one has potential to actually have useful results
It is still the correct solution. A sensible default doesn't conflict here, but hardware switched are the only solution where you can be entirely sure.
History has also shown that it leads to higher unemployment and lower growth of the salaries above it.
On one hand I agree.

On the other hand, no one cares about science and tech unless <generic boggyman> might be beating us at it!
I doubt is related. Could be seasonal. More people go outside as the weather gets warmer so they search on Google less.
> Software developers are often regarded as architects, as their work somewhat resembles that of a civil engineer.

I like this analogy.
> And who started that?

I’m not sure this question leads anywhere.

I’d like to know, what must be the case for Russia to be able to withdraw from Ukraine?

They may have started, but I’ve heard a claim that for strategic reasons, Russia was compelled to invade; compelled to continue the invasion.

Even if that’s not true, what can the EU do while Ukraine is defending so that Russia is incentivised to switch from war to commerce?
Uzebox – The ATMega Game Console
Hopefully that was a sarcastic comment.
The goal is to provide more context to the model and use the changes with the title and description of the PR to get a review, while asking for improvements and suggestions.
You continue to troll by psychoanalyzing huge groups of people you don't even know. More bullshit.
The system is broken, yes, but not how you think. Automation and how automation benefits society (or actually not) is the core issue. "Population bomb" discussions, both in terms of how old people get and population age distribution are just straw man arguments for the much larger underlying issue.

I currently live in Germany, like about half of the population is in the age group that is allowed to work. About 1/4th of these work at minimum wage, and I would wager a guess that up to about another 1/4th is either officially declared "unemployed" (the official definition of that gets regularly messed with, guess why) or in a state every normal would declare "unemployed" one way or another.

On the other hand you have massive automation everywhere, but taxes for companies are totally different to taxes for people, and the basic idea of retirement is that the current production output is paying the retirement for the current old people. From a large scale view on this it shouldn't be an issue for Germany, but they face similar issues like France and sticking through the status quo doesn't leave many options in the end with a system like that.

And yes, it obviously is larger scale, because as you see, it is not just retired people affected by the problem, it is everyone, kids included (their parents being the proxy).

Now think about how multinational corpos use nation states for their own benefits and other such stuff and you see that where things are currently heading on the larger scale is actually the worst possible option to fix anything, it just speeds this entire process up towards the breaking point. For all this "intelligence" humans supposed to have, this whole thing is a terrible joke.
What propaganda? That it would be nice if Britain wasn't being beaten in the supercomputing industry by a totalitarian dictatorship and warmongering dictatorship? As a Brit, I think it's just common sense rather than propaganda.
Indeed, except for processing graphics.
If the goal of the project is implementing a compiler, writing a library is not better serving the project.
Yes and no. Note that NATO has excellent aircraft and they were successfully used in the past, whereas Ukraine has almost none.

I'd add "put a lot of anti-missile defence around your power plants" as trying to break civilians seems to be Putin's favorite ploy.
I’m seeing a lot of anecdotes, not a lot of research.

Nngroup used to publish analyses of the state of usability, but I don’t think they have done one recently.

The old ones always showed progress, and that’s also what I would expect talking about the average situation.

Average progress doesn’t mean there are no shitty situations and we should always strive to improve, I just think claims like this are not helpful as they are used to make blanket statements about nuanced situations.

Unless you can back them up of course, and I would still love to see the data if anyone can find it.
> I learned about how Plan 9 C code had non-traditional scheme of #include files where they don't put #ifdef wrappers in each .h file to allow multiple inclusion and .h files don't include other .h files. As a result .c files have to include every .h file they need and in the right order. It's a bit of a pain and no other modern C++ codebase I know of maintains such discipline.

I've always thought this is exactly how headers should be treated. Effectively they should be interfaces importing functionality locally, and each header should make it explicit what is imported from name alone.
It's a thing if you think you're better than "normies".
> I just explained that I see fact checking and structure evaluation as effectively the same kind of a task.

The tasks correlate, which is why ChatGPT doesn't always spout nonsense, but they aren't the same. Facts are a tiny part of the structure so even though structure correlates a bit with facts most of the structure just has to do with grammar, so it prefers grammatically nice text over correct text.

Similarly fact checking can mostly ignore grammar and structure, as long as the relationships of items is clear you can just look at the logic. I think that looking at just structure gives a way too weak signal here, which is why ChatGPT is so dumb even though it has so much data and compute. Imagine if instead we trained the structural model to extract the non-structural logical parts, and then train another model on just the logic, that would lessen the logical burden of the structure model while also give us a separate and very pure logic signal that can be used as a truth model. That might be all we need for general intelligence, but I doubt we will get there without such a separation.

So yeah, I get what you are saying, but as I said structural checks correlates a bit with truth checks, but not nearly enough to call them the same. A structural check would prefer a presidential speech full of lies over the messy forum comment debunking all those lies, so it isn't a truth model it is a structure model, even though those correlate a bit.
The data seems to indicate otherwise: https://www.gigaspaces.com/blog/amazon-found-every-100ms-of-...

> A 2017 Akamai study shows that every 100-millisecond delay in website load time can hurt conversion rates by 7%

> 10 years ago, Amazon found that every 100ms of latency cost them 1% in sales
Media headline when US makes a breakthrough: "Fusion energy breakthrough achieved, paving way for cheap energy for everyone".

Media headline when China makes a breakthrough: "China achieves fusion breakthrough, could allow China to dominate the world"
Isn't drinking water essential to survive though?
You know what, you’re right—I misread your original comment. I was just going through this thread and replying to a number of comments making that particular misconception, since it is particularly common, but upon taking a closer look, you were saying something else. I apologize!

As for the difficulty in applying these ideas in other languages, I am sympathetic. The problem I always run into is that there is necessarily a tension between (a) presentations that are accessible to working programmers, (b) explanations that distill the essential ideas so they aren’t coupled to particular languages or language features, and (c) examples small enough to be clarifying and to fit in a blog post. Haskell is certainly not the best choice along that first axis, but it is quite exceptionally good along the second two.

For a somewhat concrete example of what I mean, see this comment I wrote a few years ago that translates the NonEmpty example into Java: https://news.ycombinator.com/item?id=21478322 I think the added verbosity and added machinery really does detract significantly from understanding. Meanwhile, a TypeScript translation would make a definition like this one quite tempting:

type NonEmpty<T> = [T, ...T[]]

However, I find this actually obscures application of the technique because it doesn’t scale to more complex examples (for the reasons I discussed at quite some length in https://lexi-lambda.github.io/blog/2020/08/13/types-as-axiom...).

There are probably ways to thread this needle, but I don’t think any one “solution” is by any means obviously the best. I think the ways that other people have adapted the ideas to their respective ecosystems is probably a decent compromise.
VC Funds: Startups Face “Mass Extinction Event” in 2023
I think this is nothing else than Apple being a difficult topic again.
s/sticks/Styx

Fwiw, https://en.m.wikipedia.org/wiki/Styx
In this case, at least so far, "better" means faster and cheaper.
Personally I don't see AI itself as the problem, in many ways it's just tech optimising for the shitty hole we have created for ourselves. Can't say I'm too optimistic that it will help us step out of that hole and into more meaningful roles , but perhaps it's exactly the jolt we needed.

Very related, am I the only one who finds it funny corp lingo for human artists is "content creators", and what AI is spitting out is called "art"?
Merriam-Webster doesn't say anything about irony?
Or you meant that the globsec report used the word ironically? It doesn't seems like it to me.
Most PR reviews contain comments and suggestion that could easily be automated with ChatGPT, and reduce the time it takes for a PR to be merged, which makes the team more productive.
Meanwhile us Vanilla.js'ers are still wondering exactly what a front-end framework does for a site that displays some text and some images.

It seems like the framework culture is driven by the search for a silver bullet that makes problems go away. But each solution to a problem always comes with its own set of problems, only these problems are initially unknown. So you trade a set of known problems for a set of unknown ones.

It is possible that these new problems are lesser problems, but this is hard to verify upfront, and the nature of being unknown makes it a lot harder to deal with them preemptively.

So anyway, you have your framework, you have used it for a while, and you have learned about the previously unknown problems that it causes. You could rejoice that you now have this knowledge, and therefore have a reasonable shot at working around the problems. But instead you ditch your imperfect framework and search for a new one, beginning the cycle anew.
From Musk's point of view the legal bit is the only bit that matters. Until he has to pay up some substantial amount of money and is forced to do so it's a no-op as far as he's concerned. Witness the fact that he apparently didn't learn a thing from it.

In Musks mindset as far as I can read it the rest of the world is NPCs and what we do, think or feel doesn't matter to him as long as he isn't personally inconvenienced. He probably thinks because he 'won' the lawsuit that he came out ahead. And with his kind of money he can always stall and keep the legal game going until the other side has lost. Life gets a lot simpler if you can throw ethics and morals out of the window and are wealthy enough to manipulate things in the legal arena. Until he gets smacked down hard I predict this stuff will continue.
The present first-world standard is enabled in large part by the present spread in costs of production (roughly: wages) in other areas.

Certainly the phone you’re using and almost certainly the clothes you’re wearing were not made by people making a median Western wage.
So there are many failure modes possible here.

Yudkowsky's hard take off mentions "solving protein folding", nanomachines, persuading everyone to let them connect to the internet, infinite adaptability, etc. I think those are unrealistic, but obviously they still have a non-zero chance.

More probably bad possibilities are AI-Hitler (monomaniacal populist absolute leader) or AI-Stalin (manipulative, smart, absolutely paranoid, rising through the ranks) ... so something that's human-like enough to be able to connect with humans, to manipulate them, but at the same time less affected by the psychological shortcomings. (Ie. such an AI could spend enough time to cross-interrogate every underling, constantly watch them, etc.)

And yes, a very efficient immortal dictator is very bad news, but still bound by human-like limits.

And the big infinite dollar question is could this hypothetical AI improve on itself by transcending human limits? Let's say by directly writing programs that it has conscious control over? Can it truly "watch" a 1000 video streams in real-time?

Can it increase the number of its input-and-output channels while maintaining its human-like efficiency?

Because it's very different to run a fast neural network that spits out a myriad labels for every frame of a video stream (YOLO does this already, but it's not 20W!) and to integrate those labels into actions based on a constantly evolving strategy.

Sure maybe the hypothetical AI will simply run a lot of AlphaZero-like hybrid tree-search estimator-evaluator things ...

Anyway, what I'm trying to say is that our 20W efficiency comes with getting tried very fast, and using "fast mode" thinking for everything. (Slow mode is the exception, and using it is so rare that we basically pop open a glass of champagne every time.)
SumatraPDF, JPEGView [0], ShareX [1] are some great Windows open source softwares

0, https://github.com/sylikc/jpegview

1, https://getsharex.com/

ShareX is the nr1 software I wish was available under Linux. It does so much and perfectly. But I guess the whole X11/Wayland + different UI toolkits makes it complicated.
I use it, it's fast and it does its job well. It looks kind of plain compared to more modern looking applications, but that's probably contributing to its speed advantage.
But it can insert itself in your pipeline so that anyone who depends on you is also infected. We have already seen CI worms for thevlack of a better term. One was briefly spreading in crates.io early last year as part of the "crate depression" thing.
Nothing cool in throwing away lots of resources for no reason. In fact there's substantial heating involved.
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