skysight-inc/HackerNews huggingface dataset:
Swift is compiled, static-typed language and without tons of legacy like JS (for example, it has real objects, not dictionaries). Doesn't require an interpreter. It seems to be better than JS in every aspect.
The Randstad does.

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

Density is pretty similar as well.
Do you mind sharing how your brother and you turned out in terms of career, family, and general life happiness? Sorry for an overly personal question, but I'm very curious as a parent myself with my own theories about the craft.
Even better, have time-limited temporary promotions, which automatically revert after 6 months or a year. Permanent promotions are generally only available to those who have done a temporary promotion in the past.

That gives the organisation a way to tell if you are ready for permanent promotion, but removes the humiliating experience of "not passing your probation".
It seems that people who DO understand LLMs are too blinded by the shinyness to say one coherent word about it.
I dont know about the newer models but you used to be able to get authoritative sounding answers asking about "the fallacy of affirming the antecedent". So you don't need to be so high level.
PPP-adjusted GDP is an indicator of the level of goods/services affordable by all citizens together.

The treemap shows how global total purchasing power is divided between countries.

A treemap of GDP PPP per capita would show the breakdown of purchasing power if you put one citizen of each country in a single room. I think a bar chart would be a better choice in that case.
It's understandable to feel disillusioned by the current state of online discourse. Expecting social media platforms alone to broaden horizons is akin to relying solely on a library's size to educate the illiterate. Perhaps it's time for a more holistic approach to digital literacy and critical thinking, rather than outsourcing the responsibility to tech giants like Bluesky.
The story mentioned at the beginning of the article about Mr. Abu Toha is a story that goes back to last year in november (https://www.independent.co.uk/news/world/middle-east/mosab-a...), the article make it look like it was happening recently..
Yes, I think Gaussian Splats are were all the rage is.

My limited understanding is that Nerfs are compute-heavy because each cloud point is essentially a small neural network that can compute its value from a specific camera angle. Gaussian splats are interesting since they achieve almost the same effect using a much simpler mechanism of using gaussian values at each cloud points and can be efficiently computed in real-time on GPU.

While a Nerf could be used to render a novel view of a scene, it could not do so in real-time, while gaussian splats can which opens up lots of use-cases.
Work harder to cover his absence. As simple as that.
Maybe those tourists can do what this tourist did (well, my parents). Park at some station and take the train in.

It was the obvious thing to do for Europeans visiting a metropolis.
Purchasing power only makes sense on a per-capita level; it measures on average what you can by with the sorts of money you can carry. The price will not be the same if the entire country's GDP tried to buy the same goods.
But you can't e.g. prove your ability to manage without being given a team to manage...
Hug him. Support him. His life is most probably ending and he is most probably quite depressed. Stay with him.

Your company is just a job, just a company.

What would you expect of him if you'd be in his situation? I'm sure that having a successful company would be the last thing on the list (if it was there at all).
The first non-cellular 5G standard: DECT NR+
TL;DR: Ignorance IS strength!
except for football https://apnews.com/article/uefa-israel-european-soccer-dd890...
This is not an ELI5, but it is all the details:

https://www.emvco.com/emv-technologies/payment-tokenisation/

EMVCo is American Express, Discover, JCB, Mastercard, UnionPay and Visa. It’s basically a credit card standardization group.
This. And if you're not a decent person enough to know this, be pragmatic: if you burn your cofounder over this, you won't keep any good employees (because they'll know the score if they ever need anything) or hire new ones.
One feature I've never seen in test frameworks that I think would be good:

Instead of concurrency being a boolean on/off, tests should be able to declare a list of shared dependencies (e.g. using arbitrary string identifiers). Then the test runner could make sure no two tests with the same dependency run at the same time, but still use as much concurrency as possible.

You could extend this further by marking certain dependencies as read-only, so the read-only tests can still run in parallel with each other.
It's been many years now, there's no fixing anymore. The upwards trajectory stopped of course, but two years or so I got were enough to get me through college, into an okay job and even help me find a girlfriend. It's not ideal, but I'll live.
>Whether this will end up being better than really well optimized polygon based systems like Nanite+photogrammetry is also an open question

I think this is pretty much settled unless we encounter any fundamental new theory roadblocks on the path of scaling ML compute. Polygon based systems like Nanite took 40+ years to develop. With Moore's law finally out of the way and Huang's law replacing it for ML, hardware development is no longer the issue. Neural visual computing today is where polygons where in the 80s. I have no doubt that it will revolutionize the industry, if only because it is so much easier to work with for artists and designers in principle. As a near-term intermediate we will probably see a lot of polygon renderers with neural generated stuff inbetween, like DLSS or just artificially generated models/textures. But this stuff we have today is like the Wright brother's first flight compared to the moon landing. I think in 40 years we'll have comprehensive real time neural rendering engines. Possibly even rendering output directly to your visual cortex, if medical science can keep up.
Love the idea of Plume; signed up to the mailing list. Btw the website layout breaks on very wide browsers (images in the .features-section overlap text). Maybe consider some max-width for the page.

And I also have to say that my days with Qt are quite some time ago. I never really got into QML, so if you say that QML is a great choice I'd put more weight on your word than on mine.
Yes. I believe so. Maybe it won't happen this year. Maybe not next year. But in 3 years, I think the world will radically change.

Here's an example use case we found for our business:

Our sales people request invoices from a potential customer. On those invoices are our competitor's services and price. We have matching services and our own prices. The goal is to find similar services where we charge less. In the past, our sales people would spend hours combing through those invoices. We wrote a prompt for GPT4, fed in our services and prices, and asked it to find services we could potentially replace as well as our profit margin. It took us a day to write this prompt. The results were outstanding and GPT4 gave accurate results. We even asked it to package it up in a PDF for us.

This will save our company hundreds of thousands each year and we can get back to the potential customer much faster than before - increasing the likelihood of a sale.

If we had to program this like normal software, it'd probably take months to get it right. Chances are, engineering would never even prioritize this feature for our sales people.

GPT6 with much higher context and much cheaper inference cost? Yes please. I think people can't imagine how it's going to change everything.
Most of what you wrote sounds fair and almost compassionate to me but hard disagree on "the fact it's cancer is actually largely irrelevant".

That person has just received some of the worst news of their lives, for no fault of their own. This is very relevant for approaching them with patience, kindness and care.

OP will need to reconcile their ambition and past expectations with being a decent human being and, possibly, a friend.
How I wish people had this attitude towards programmers: spend $15K per month on an AI programmer or have a better society without AI...
'dc operator' contextually is almost always going to be 'data center operator', especially in the context of Nvidia and AI
Startup Plans Largest Ocean Geoengineering Plant
Yes, check this distro https://hub.docker.com/r/linuxserver/endlessh
Actually it's not universally true that people working closely together know who is competent and who is not. Because you yourself need to be competent to know if others are doing a good job or not. If you are surrounded by incompetent morons you as likely might be labeled as incompetent by them and since they are the majority you lose the battle. It doesn't even have to be done on purpose by the morons, they just don't know they are bad at what they are are doing and create a kind of a circlejerk re-assuring themselves
True, thanks for catching that, corrected it
Viewing it as black and white as 'inherently wrong' is missing that it's an area that can have both good and bad aspects. (In the context of Dr Stoll's prescient viewpoint, the negative ones are severe.)

I'm about 10,000 kilometers from most of my friends right now and have been for several months. I can stay in touch with them in a way that would never have been possible several decades ago. This is a wonderful thing.

Equally, the negative effect of social media on teens, its impact on depression and suicide rates, is a terrible thing. Let's look at [4] below:

> There have been increases in adolescent depression and suicidal behaviour over the last two decades that coincide with the advent of social media (SM) (platforms that allow communication via digital media), which is widely used among adolescents. This scoping review examined the bi-directional association between the use of SM, specifically social networking sites (SNS), and depression and suicidality among adolescents.

This isn't 'old man shaking fist at cloud'. It's real negative (life and death!) impact on the young, growing, and vulnerable.

[1] https://www.sciencedirect.com/science/article/pii/S245195882...

[2] https://www.apa.org/monitor/2022/03/feature-minimize-instagr... -- notes both good and bad effects

[3] https://www.harvardmagazine.com/2022/02/right-now-social-med... -- adults, not just kids and teenagers!

[4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392374/
Ironically, the first link has setup instructions which use the cli:

npx create-tina-app@latest
Yes. But act isn't entirely compatible unfortunately. To run the "real" thing, my latest attempt is here: https://github.com/efrecon/gh-runner-krunvm. It let you create ephemeral runners in microVMs. As soon as one runner has finished a job, a new one will be created. You can have several of those loops running in parallel on the same host.
Afaik gaza doesn't have any israel settlement anymore https://en.wikipedia.org/wiki/Israeli_disengagement_from_Gaz... so I am not sure how you could say israeli were expanding in Gaza..
The city of London is irrelevant to this discussion. The London congestion charge covers a much larger area, roughly the same size as the one proposed in New York.

timr is not correct, he is confidently wrong even if he makes the same claim several times in the discussion.
The End of Foreign-Language Education
F--- the company. People come first.
Well, for starters, you shouldn't really post these kinds of details on Hacker News, your cofounder probably reads it and may be pretty pissed that you turn to the community to discuss what you should be doing regarding the finance of the company and his lack of work while he was diagnosed with a lethal illness.

Then, it's pretty obvious that you should take this as a problem that "hits the company", as in you should solidarly take the "loss" that his illness is causing the company. So he should be paid the same as if he was fit to work, and vest him like you are.
Contactless card transactions are not “Cardholder not present” transactions!

They are usually “No Cardholder Verification Method” transactions, though they can do ask for PIN entry in some circumstances.

And no, the liability is not with the merchant for contactless, or they never would have accepted it! It’s firmly with the banks, which is why the limits were initially so low - to limit potential fraud. When it transpired that fraud was more than acceptably low, they raised the limits a bit.

The liability is only with the merchant if the merchant chooses to accept a magnetic swipe transaction, or keyed card details. Not contactless EMV.
This is really cool! I love the JSX-like approach to UI and it's a shame it's not so common on desktop. https://github.com/can-lehmann/owlkettle is the only thing I find comparable.
What is DECT-2020 New Radio (NR), and how big a deal is it? (2021)
To plug my own field a bit, in material science and chemistry there is a lot of excitement in using machine learning to get better simulations of atomic behavior. This can open up exciting areas in drug and alloy design, maybe find new CO2 capturing material's or better cladding for fusion reactors, to name just a few.

The idea is that to solve these problems you need to solve the schrodinger equation (1). But the schrodinger equation scales really badly with the number of electrons and can't get computed directly for more than a few sample cases. Even Density Functional Theory (DFT), the most popular approximation that still is reasonably accurate scales N^3 with the number of electrons, with a pretty big pre factor. A reasonable rule of thumb would be 12 hours on 12 nodes (each node being 160 cpu cores) for 256 atoms. You can play with settings and increase your budget to maybe get 2000 (and only for a few timesteps) but good luck beyond that.

Machine learning seems to be really useful here. In my own work on aluminium alloys I was able to get the same simulations that would have needed hours on the supercomputer to run in seconds on a laptop. Or, do simulations with tens of thousands of atoms for long periods of time on the supercomputer. The most famous application is probably alphafold from deep mind.

There are a lot of interesting questions people are still working on:

What are the best input features? We don't have any nice equivalent to CNNs that are universally applicable, though some have tried 3d convnets. One of the best methods right now involves taking spherical harmonic based approximates of the local environment in some complex way I've never fully understood, but is closer to the underlying physics.

Can we put physics into these models? Almost all these models fail in dumb ways sometimes. For example if I begin to squish two atoms together they should eventually repel each other and that repulsion force should scale really fast (ok maybe they fuse into a black hole or something but we're not dealing with that kind of esoteric physics here). But, all machine learning potentials will by default fail to learn this and will only learn the repulsion to the closest distance of any two atoms in their training set. Beyond that and the guess wildly. Some people are able to put this physics into the model directly but I don't think we have it totally solved yet.

How do we know which atomic environments to simulate? These models can really only interpolate they can't extrapolate. But while I can get an intuition of interpolation in low dimensions once your training set consists of many features over many atoms in 3d space this becomes a high dimensional problem. In my own experience, I can get really good energies for shearing behavior of strengthening precipitates in aluminum without directly putting the structures in. But was this extrapolated or interpolated from the other structures. Not always clear.

(1) sometimes also the relativistic Dirac equation. E.g. fast moving moving atoms in some of the heavier elements move at relativistic speeds.
One mans gold is another mans trash :) Static typing seems to be a neat addition for lots of people, that's great! Doesn't mean it's a silver bullet that improves development for everyone, and that's OK.

I still don't see how a language (GJS) with an already existing ecosystem of writing Gnome apps, lots of examples, API references and more is worse for writing Gnome apps than Swift, that seems to have been launched just some days ago?

Edit: I realize now that the "Adwaita for Swift" this blogpost is about isn't even an official Swift project, is the output of a student interested in Swift and Gnome.
http://archive.today/Dyvdw
Not sure why you consider those countries as ennemies (or semi-enemy) ?

For example, Jordan has maintained a position as a key major non-NATO ally of the United States within the Middle East (since 1996).

Also starting from 1989, both Egypt and Israel became major non-NATO allies of the US.
Silicon Valley's 'Oppenheimer' found lucrative trade in AI weapons
Let your human decency guide you.
I also admire the simplicity of this approach, but it has several downsides:

- Code-based UIs tend to work better with existing tooling, like comments and source control. You can freely customise your development environment, rather than being at the mercy of a single GUI app.

- Most serious UIs need code-like features, such as "for-each" to render a list of objects, or "if" to reveal a form when a checkbox is ticked. The easiest way to access code-like features is to write your UIs in code.

- You'll need to write some backing code in any case. Defining the UI tree and its "code-behind" in the same file could be considered more DRY.

- Live preview (or alternatively, hot reloading) will give you very quick iteration when writing a UI in code. It's not quite as good as drag-to-resize, but it's close.

- Automatic layout (which is non-optional nowadays) isn't necessarily a great fit for WYSIWYG editing.

- As React has demonstrated, the ability to quickly throw together custom components is extremely useful. Visual editors tend to make it more complicated and bureaucratic to define custom components.
Of course that's what I want.

The only way to achieve that is a two-state solution, where each populace has its own state. The root problem is that there has never been a Palestinian leadership willing or capable of agreeing to a deal (despite multiple efforts), or at least not at the same time as an Israeli leadership existed that could make it possible. And given the failures and continued violence (and demographics!), the Israeli left has lost almost all power, and Israel's right-wing has ruled for most of the last 15 years, and is at best, not contributing to peace. (And I'd say much worse - very actively preventing peace!)
People will say this happened before with people purposefully doing this, but it will happen at a much faster rate with much less oversight with AI. Moreover, I can't help but think of the comments both Garry Kasparov and Go players made when they were playing against AI: they thought it had very counterintuitive and confusing moves compared to human play.

The truth is, while both humans and AI can make errors, and both can be malicious as well, the actions of AI will be counterintuitive and confusing and we won't know how to counter them in the same way that we counter human follies.

This is just one aspect that shows that AI is making society worse on average and it should be destroyed.
It's in the public interest because it saves money which can be used on other things.
Genius marketing for what? It's a very fitting term, because between the lines it tells all who don't refuse to listen that the correct answers are no different, they just happen to be not wrong. Dishonest marketing would be calling them bugs, because that's what they are not.
> His life is most probably ending

I'm not sure this is true anymore. Various cancers are curable (if metastasis has not occurred), and others have good long-term treatments available.

And if you mean "ending" in the long-term, then I'm afraid that is true for all of us.
You disagree with the widely publicized fact that several new gas burning plants are being planned for the near future in great part due to high profile plans for AI data centers that use 10x as much energy as traditional ones? Or with the fact that these plants will emit great quantities of CO2 that wouldn't be emitted had these plants not been planned for sustaining the growth in AI?
It goes without saying that being a normal caring human being about it gives you the most social karma. However nobody got rich by caring that much. Later in life when they suddenly realise they are as mortal as any other being they usually try to make amends somehow, but i digress..

So, what's the question anyway? How you want to go forward with the company? What your cofounder wants? What the workforce wants? What you want? Too many variables at the moment is my guess.

I would suggest a hardcore honest long personal talk with only your cofounder in how you both see things and what you want personally, for your workforce and for each other. Agree on things. Could both give you some peace.

And remember it's nice to try and follow Will Wheatons law.
> What would you want them to do if the tables were reversed?

While I understand this sentiment - is that really how you create a successful business?

If you have a worker who just doesn't perform at all, no matter what you do, should you fire them? Would you want to be fired if the tables were reversed?
Add the persistent anxiety that you are missing something you should not have and you end up with constantly refreshing the feed instead of working - just like social media and exact opposite of what you want.

MS Teams cause enough headache by sorting the messages by "latest updated thread" completely obliterating the mental model of the conversations in the channel I have.

Some ideas for ideal team chat:

* Automatically build threads or tag messages by topic in threads so you can easily filter out the topics interesting to you - often there are multiple discussions intertwined that should have been in separate threads but people just reuse the threads

* Collapse the resolved discussions into a conclusion (with option to view the discussion) - when the discussion goes into shootout of messages you might be interested only in the conclusion, not how they got there

* Announcements - sometimes you really just want to announce something (on company wide scale, team scale, or just personal Tweet sort of thing) - make these separate and browsable - here the automatic feed construction sounds appropriate

* Activity digest - at last workplace I liked the Confluence digest email as it brought attention to projects and topics I was not directly involved with - nothing happened if I missed those, but was nice to keep an eye on some of the initiatives

It is super important to make a tool the people can trust - no one likes to make or hear excuses like "sorry I did not see the message".

We definitely need better tools for communication, so keeping fingers crossed for your success.