skysight-inc/HackerNews huggingface dataset:
I'm not even sure the "digital fingerprint" is entirely helpful. Have you seen the moon issue? https://www.reddit.com/r/Android/comments/11nzrb0/samsung_sp...
It’s just a common saying “the problem is always DNS”. When you have a weird networking issue, the problem always seems to be DNS. Either some misconfigured DNS entry or DHCP giving you the wrong server address, etc…

And then the problem is confounded by the fact that, ironically, DNS works so well that we don’t think of it as a primary point of failure. So inevitably, when there is a DNS problem, it’s the last thing we check. This just reinforces the idea that the problem is always DNS… because in those long, hard to troubleshoot instances… the problem was DNS.
Nothing an autocomplete shell doesn't solve :)
Ahaha, no. Every time period has its own distinct style. you can tell the difference between Magnus, Kasparov, Capablanca etc. Lots of innovation in chess in fact, almost uninfluenced by machines.
>> We should figure out what they did right, and then keep doing it.

Slavery, settler colonialism modulo a bit of indigenous genocide, toppling democracies and supporting dictators all over the place, exploiting the natural world until it cried "mommy" and then keeping at it until we now have a gigantic environmental and climate crisis, and let's not forget investing more than anyone else on the world's most powerful military which was then used to invade agrarian societies armed with their grandparents' hand-me-down pea-shooters, and of course dropping two atom bombs and killing a couple hundred civilians in one of the worst atrocities of the worst war in history just to show who's boss.

etc etc etc.

Edit: as a matter of fact, the US did get something very right that everyone else keeps getting wrong: it invested in human capital by keeping its borders relatively open during at least some periods of time, so that people could keep coming in that eventually became the most dynamic sections of society. Very few others have done that, and almost nobody got it as right as the US. And yet, it is the "conservatives" today in the US that try their damnedest to kick the door shut against the windfall of human capital that keeps dropping in their lap, even as they keep outsourcing the US' most productive industries to one of its biggest competitors, China. That's not conservative, it's reactionary and completely idiotic to boot.
But the funny thing is that where they have a monopoly is in the enterprise. And Windows is quite decent there.

Where they do not have a monopoly is on consumer PCs. I guess "PC gaming" is still a monopoly of sorts, but that could change soon.
Just because the Impressum law exists, it doesn't mean it is a good thing… The new requirement adds unnecessary friction, not value, to new exploratory projects on the App Store.
You forgot in Lua 5.3+ "integer". (there's also "thread" for coroutines and "function", but those aren't "data" types)
And yet, no other company that is also working on self-driving technology has such a valuation.

Something in your rationale does not add up.
2x in a single direction, 4x the number of pixels
Neat project, but I will be sticking with Redis.

I trust Redis to not do something weird with their licensing or pricing in the future.

Plus Redis has billions of production hours under its belt.

It's easier to install and understand.
Well, motivation would be an obvious thing lacking. People who want to work on rockets, I would guess, would find working on facebook to be a “boring” solved problem.
hardware is _that_ bad?? holy...
You can downvote me all you want, it does not matter. You can call all ARM chips "laptop" grade all you want. But this misrepresents how this arch is used in servers and desktop "PCs" right now. And thats the only point I want to make. ARM arch chips are not laptop only. Can they match the power of this new I9? No. But that wasn't my point.
Operations begin to de-ice Euclid’s vision
You are correct: implementing GDPR correctly is much, much harder and more expensive than people realise. Cookie banners are just the tip of the iceberg.

A few things not allowed under GDPR:

1. Analytics

2. Third-party resources like fonts or JS libraries

3. CDNs

4. DDOS protection services

And I am sure I am missing many more. I am not a lawyer, but I worked with a few.
And how old are these publications? And did you have a look at the paper that we're talking about?
A quiet feature of sora: It can base itself on an existing footage for modifications of this very footage....
I have never in my life wrote a "child porn validator" that restrict files uploaded by users to "non child porn". This sound nontrivial and futile (every bad file can also be stored as a zip file with a password). This sound like an example of a "think of the children" fallacy.

I also find the firebase model weird (but I didn't use it yet), but not for the child porn reasons.
Short-term and long-term winners in the AI boom
Tesla is progressing along a path of more compute and data resulting in better FSD behavior. There is no sign that this progress is slowing down.

I don't see how your points change that progress. It will continue independent of what Musk claims or what political stance he takes.
Each Orleans node could have a Garnet node, I can see the Aspire configuration now
The rate of offers has changed dramatically in the past decade or two though. We are bombarded with "opportunities" now. I believe people who are fit for one environment is not for the other.
Potentially Large Effects of AI on Economic Growth [Mar 2023]
A conclusive answer to how neural networks work should be both descriptive and prescriptive. It should not only tell you how they work but give you new insights into how to train them or how to fix their errors.

For example, does your theory tell you how to initialize weights? How the weights in the NN were derived from specific training samples? If you removed a certain subset of training samples, how would the weights change? If the model makes a mistake, which neurons/layers are responsible? Which weights would have to change, and what training data would need to be added/removed to have the model learn better weights?

If you can't answer these sorts of questions, you can't really say you know how they work. Kind of like steam engines before Carnot, or Koch's principles in microbiology, a theory is often only as good as it can be operationalized.
Great analogy, hahaha
The Bank of Japan hikes rates for first time in 17 years
The problem still exists
In the creative area, I see "AI" as an opportunity for small/medium studios, not a threat.
100% on that. I think Garnet (and similar YARP) are useful if you build your own tweaked version of that. Otherwise, off-the-shelf or PaaS thing are more useful.

Also, this is Microsoft Research. This thing is code sharing not a product.

The real interesting part is what Azure will do with it.
In Rust!
They have tested their devices at 300 Celsius degrees, but significantly higher temperatures should be possible, e.g. 500 or 600 Celsius degrees.

It is likely that the upper working temperature would not be limited by the semiconductor channel, but by the accelerated degradation of the metallic conductors, which would limit the lifetime of the devices. Conductors with better chemical and electromigration resistance would have higher electric resistivity, lowering the speed of the devices.
John Gray and the End of Liberalism
Brazil.

Actually I found out that now the more popular system for this kind of door there doesn't even use counterweights or springs, but an endless screw inside a rail or a linear gear.

https://ppa-rp.com.br/item/motor-de-portao-basculante-ppa-ho...
max door weight = 250kg

https://ppa-rp.com.br/item/motor-de-portao-basculante-ppa-bv...
max door weight = 500kg

For reference:
5.0 R$ ~= 1.0 USD
250 kg ~= 550 lbs
QML rocks! I'm having a blast developing my block editor in Qt C++ and QML.
The report came out a year ago but has been in the news this week due to recent interviews with the primary author, “prominent economist” Jan Hatzius. He’s predicting nearly 50% job loss in administrative and legal sectors.

Original source. “GS” is Goldman Sachs.
They lack the variety and self-expression of early Levittown?
The government is not this abstract concept, we choose (mostly) what happens there. If enough people complain, or are affected, changes will be made from a legal POV. If enough people lose jobs, yeah a government program might appear to help with that.
With Blackwell, AI Gets Cheaper and Easier, Competing with Nvidia Gets Harder
What percentage of the artists that are currently earning a living by making music have taste?
The "just put your money in an index" advice is good for the vast majority of investors precisely because they can't afford to lose all of it. Research has shown time and time again that returns for the average retail investor gets lower and lower the more active they are and the less diversified they are.

It turns out that the average person is just not very good at picking stocks, especially when they have to compete in a market chock full of professionals with much deeper pockets and much better tooling. Investing it all in an index fund ties their returns to the returns of the wider market, which is a much better proposition than "you as an amateur get to go in the ring with the investment equivalent of Mike Tyson!".
Just like how you can't see much of your body (without mirrors) because your body is in the way, we can't see much of the galaxy because there's galaxy in the way.
I only posted the link to the repo, which contains a functional website that I created.
It says a lot about HN that people keep posting this.
Genuine answer: Setting up Facebook WOULD be extremely challenging for a company like SpaceX. There's a reason Facebook is worth about 10x what SpaceX is worth, and most of that value doesn't come from the ability to build software. Facebook isn't even particularly good at building software.

To give an example in a closer domain: Look at how long Google lost money on cloud services through 2022 (over $15B in loses), and now only makes money by creative accounting (bundling "cloud services" together versus breaking out GCP; Microsoft does something similar with Office 365 and Azure).

Like many potential customers, I would not consider GCP because:

1) Google "support" is a buggy, automated algorithm which randomly thwacks customers on the head

2) Google randomly discontinues products

3) I've seen a half-dozen to a dozen instances where buying from Google was penny-wise and pound-foolish, and so have many other engineers I've worked with.

Google's overall attitude is that I'm a statistic defined by my value to Google. Google can and will externalize costs onto me. That attitude is 100% right for adwords and search, which are defined by margins, but not for something like GCP. If I am going with a cloud service/platform, I'll go with Amazon, Microsoft, or just about anyone else, for that matter.

That's not that Google is a bad company. Google actually did have the skill set to build the software and data centers for a very, very good cloud provider. It's just that Google's core competencies lie very far from providing reliable service to customers, customer support, or all the things which go into providing me with stability and business continuity.

"Fixing" this would require a wholesale culture, value, and attitude change, and developing a core competency very far from what Google is good at.

I put "fixing" in quotes since if you develop too many core competencies, you usually stop being good at any of them. Focus is important, and there's a reason many businesses spin out units outside of their domains of focus. If Google is able to become good at this, but in the process loses their edge in their current core competencies, that's probably a bad deal.

FWIW: I haven't yet formed an opinion on NVidia's cloud strategy. However, their core competencies appear to be very much in the "hard" domains like silicon, digital design, machine learning rather than "soft" ones. Another relevant example for what can happen when hard skills are de-emphasized at engineering-driven companies is Boeing (if you've been following recent stories; if not, watch a documentary).
It was far from obvious. The first transition spawned a huge amount of philosophical treatises on what to do when a lot of the jobs go away. Marx being the most well known.

And even today the second transition is still not obvious to everybody. There are still a lot of people today who think jobs making stuff are "real jobs" and service sector jobs are lesser.
Missing these:

• The Linux Software Map: <https://lsm.qqx.org/>

• Freshcode (spiritual successor to Freshmeat) <http://freshcode.club/>
Airbus should not brag about that, as this is the basic expectation. That said, there is something cleary fishy happening in Boeing, something with accute dangerous follow-ups. I guess the US administration is investigating, because the warnings have been loud enough (and a lot of luck for the moment) and better "fix" that before something really nasty happens.
Dirtyjson
You can get a previous gen RTX A6000 with 48GB of gddr6 for about $5000 (1). Disclosure: I run that website. Is anyone using the pro cards for inference?

(1) https://gpuquicklist.com/pro?models=RTX%20A6000
The hyperscalers aren't going to be on CUDA for long, Nvidia are taking too much of a cut. Google run tensor chips, Amazon and Microsoft both have their own accelerators in the works. They are massively incentivised to do so right now.

Now they do all re-sell Nvidia GPUs in their cloud businesses, but there the cost will be passed very directly on to infrastructure customers, who will see the competing higher level services from those cloud providers (hosted models) likely at lower or competitive prices, and it's going to be harder to justify renting CUDA cores for custom software.
A short overview of the controversy "String Theory - A Controversy in Ten Dimensions", including the history and major players, is available at https://web.mit.edu/demoscience/StringTheory/index.html .
Ok then it's just the way you presented things.

If you want to take anything off people's plate, please do!

If it's devops, I think people will be happy. Nobody wants to do devops. But engineers should not have to learn k8 because you chose to run things with k8. You choose k8, you take care of all aspects of k8.

You might as well take all shared services: permissioning, configuration management systems, logging, monitoring, environment management, email sending, message queues.
The problem doesn't exist in a meaningful sense if one can't define it clearly. Might as well say the wellabigomboopita still exists.
> Ask yourself, how can a treatment that breaks kidney stones or burn tumours also be 'safe'?

The same way taking a bath can be safe, but a tsunami is not.
> Unfortunately another theme of Michael Crichton books is that because of human hubris and corporate greed, the disaster is inevitable. Regulation and scientific ethics don't matter because humans find a way.

This is exactly what has happened with humanity.
Everybody can claim that they are going to make rockets and planes, talk is cheap.

Two of the main benefits startups claim to have is that:

- They can use their small size to play loosely with the rules, move fast, break things, and run around in circles around the sclerosed, unwieldy established players.

- Said established players have left, by their inefficiencies, plenty of low-hanging fruits the new players can use to gain critical mass.

Building and certifying a new aircraft of that size is a multi-billion dollars endeavour because it is difficult, not because the market has consolidated itself to the highest level of inefficiency.

Hitting your payload and range targets is surprisingly difficult, even for companies with decades of experience. And being a few percent off in the single digit range means the difference between something that is usable, and a design that is literally good for the scrapyard.

To compound the problem, playing fast and loose with the rules in that business is when people start dying, with the 737 sagas being the perfect, very actual, illustration of this.
People who nickel and dime everything usually do not have the correct equipment and most of them are hardly competent as well.
Wild, thanks!
They want to sell you the pros of autophagy in a pill form without you doing fasting.
Reminded me of the fabulous sketch of the Pool Supervisor, In 1975 No One Died, by Alan Partridge

https://www.youtube.com/watch?v=zUoT5AxFpRs
I thought problem was you couldn't get anywhere because of the question, but you're saying the problem is the question didn't get an answer that satisfies your taste?
You have to fuzz their age, zip3, and other demographic factors too.
I'd add quotes there:

Pytorch has been "supporting" rocm for all last 2 years
> there is no demand for (paid) background removal anymore as every iPhone can do it nowadays.

PhotoRoom begs to disagree with this statement.
The sad thing about that funding is how small it is. To billionaires and governments this is pocket change. Simons (personally, not the foundation) could spend ten times that to fund research into alternative models and not even notice.

A global anything-goes-if-you're-qualified frontiers research program would cost a few hundred million dollars. The odds of it finding some game changers are likely pretty good.

Instead we're getting a $17bn revamp of the LHC to turn it into a "Higgs factory".
I see kids out throwing frisbees, baseballs, and footballs in my neighborhood, shooting hoops where an alley meets the street. I see them skateboarding as well. On Saturday, my wife and I saw a girl of five or six ride her bike along Beach Drive in Rock Creek Park, with no parent visible to us. Now, the closed-off section of Beach Drive is pretty benign, but the apparent independence of this child was interesting.
I think someone described this some time ago as productivity theatre - reading too much about what others are doing instead of doing things yourself.
If there are no testable predictions it is not a hypothesis, it's a religion.
I do not think that the argument "If the Mercedes-Benz system is so good, then where are all the youtube videos?" is a stronger argument than "If the Tesla system is so good, then where is all the regulatory approval and the full legal liability?"

The latter seems much harder to game, to me.

Also, since you've put the goalposts here, I just looked for these videos and other reviews of the MB-system. What do you know, they do exist.
If that's the book I'm thinking of I was also initially impressed until like chapter 6 when, after spending the book talking about how simple and elegant this theory was, it opens with "what if there wasn't just one string but lots of strings, and they were n-dimensional etc etc..." and threw it all out the window. I put the book down.
I’m bored all the time and I’m a human. Last I checked anyway.
That only makes the Mr Market advice more important, no? Opportunities may come to your doorstep, but the fact that they are there does not mean you have to take them if you determine they won't bring you further to your goals.

FWIW, for my personally I get drastically fewer unwanted offers in the form of advertising etc than two decades ago. Adblock and a spotify subscription instead of ad-supported radio makes a huge difference.
This is very good advice, and makes sense considering the best investors are dead ones.

In every market crash I am surrounded by people losing their minds about all the money they've lost, but that is just what Mr. Market is offering that day. So they sell, the market recovers, they see it going up, they buy. Buy high, sell low, buy high again. People won't admit what they have done, but do this all the time.
https://www.businessinsider.com/forgetful-investors-performe...
I own the 1st gen of the Butterfly - in my opinion, it wasn't great image-wise compared with the contemporary conventional crystal based probes (thinking of cart-based machines with less flexible, more expensive probes etc so perhaps an unfair comparison). Would be cool if the newest ones mentioned in the article are becoming comparable with the crystal based probes - I can't comment. But I can say image quality is absolutely key. There are lots of cool AI based applications coming out all the time (I know much more about echocardiography AI than the foetal ultrasound AI mentioned in the article, but this is a similar paper where some ultrasound novices had AI guidance and were able to obtain useful echo images https://www.ahajournals.org/doi/10.1161/CIRCIMAGING.123.0155...). I get to use various machine vision based tools on echo images at work to automate various measurements - but at the moment, I find they fail badly if the imaging is anything but great quality, whereas humans can interpret them. Maybe future training sets will include more "technically difficult studies" (code for poor imaging) and AI tools will do better than they do now? Or there will be more augmentation of data sets with realistically degraded versions of images to add robustness? AI that worked on suboptimal images would be awesome, particularly in my setting (ICU).
Maybe for some, but fasting is mostly a positive experience for me. Lack of blood sugar means feeling colder. Boo hoo.
Linux kernel 4.14 gets a life extension, thanks to OpenELA
You need to be looking at the U6 figures to get all marginally attached to workforce people such as those who are under employed who want more work. Someone working less than 35 hours a week for a ride share app but wanting more hours or even working more than 35 hours and wanting a better job would count in the U6 figure.
This is interesting because it highlights the trust we've always placed in real-looking images. It brings real-looking images down to the same level as text.

It's always been possible to write fake news. We've never had to add disclaimers at the top of textual content, e.g. "This text is made to sound like it describes real events, but contains invented and/or inaccurate facts." We feel the need to add this to video because until now, if it looked real, it probably was (of course, "creative" editing has existed for a long time, but that's still comparatively easy to spot).

It's the end of a media era, really.
My earliest memories are of Parma, Ohio, just outside Cleveland. We were within three blocks of a grocery store, a bakery, a library, school, a five-and-dime.

Even in unincorporated Jefferson County, Colorado, a block west of Lakewood, one could walk to stores and a library. A mall was something of a hike (one or one and a half miles), but the sight of teenage pedestrians didn't scare anyone
Ask HN: Why rust cannot use the same compiler back end as mojo?
Mojo uses the new MLIR backend. This results in faster compilation times, for example. Rust uses LLVM as backend. Is it possible that rust also uses MLIR as backend and thus benefits from a modern backend?
We have a lot of green ants around our house (otherwise known as a weaver ant, mentioned in the article). They're a little aggressive but fascinating creatures all round and great for a nibble, tho I tend to only eat the bum ... tart but satisfying.

https://en.m.wikipedia.org/wiki/Weaver_ant
If you had read my graph before commenting, you would have noticed that the bottom 50% had 1.289 million millions in Q3 2022, and have 1.189 million millions in Q3 2023, which is indeed a smaller number.

You should also be aware that consumer sentiment surveys that drill down into concrete sentiments usually find consumers are very negative about the current price of durables, which are indeed quite high compared to historically [1]. They also tend to come down slowly without a inciting crash.

[1] https://fred.stlouisfed.org/series/CUUS0000SAD
This is just false, string theory only competes in the theoretical physics sub-area; condensed matter, astrophysics, lasers, all that stuff have their own pots of money.
Good post, thanks.