_mitterpach

Github Actions runner can be self-hosted as well! Microsoft tried to curb it for a while by making self-hosted runner minutes paid as well, but quickly walked that back.

Do note that Github Actions have been the target of like 50 different attacks and I would not combine publicly hosted code with your own runners, as without proper sandboxing it can lead to anybody executing any code on your machine just by opening a PR (might have been fixed since last I heard, but the general vibe stands).

As someone working in aerospace, orbital data centres are almost certainly impossible or very impractical, at least at the scale being sold by the AI salesmen.

What would they be cheaper on? Solar panels are a little bit more effective and they will have a 24/7 coverage if placed in the correct orbit.

However, they would be much harder to cool (space is cold, yes, but heat transfer in vacuum does not work easily and most large structures, such as ISS, require dedicated cooling radiators that take up a large amount of space.) The launch costs would be still very high, maintenance impractical and the large, large surface area of solar panels and radiators would just be primed for being struck by debris.

What orbital data centres are though, is a good dream to sell, a fine way to dismiss environmental concerns of data centres on the ground - “We’re soon going to start putting them in space, but just for now we have to build them on earth. Please approve our requests.”

That’s a really good article, thank you for sharing. Has anything in the field changed since 2019, or is the situation still roughly the same?

Couldn’t the dreaming be done even without betting? This feels like an excuse to me to be completely honest.

I’ve personally had thoughts about what I would do if I were millionaire, and given the amount of stories of people coming into a large sums of money and their life getting significantly worse, I’d prefer to actually not win it.

This might be completely wrong, since my understanding is based very much off of Truck Simulator games, but isn’t one of the reasons aerodynamics as well? The US is huge, and trips can take several days at high speeds, so aerodynamic improvements can save quite a bit of money, whereas EU is smaller, the trucks do not go at large speeds for as long and have to navigate tiny city streets, thus being more compact is an advantage there.

Maybe try running your services in docker, I don't know how difficult that would be to implement for you, but if you run it in containers you can get it to start up after an outage pretty reliably.

"OpenAI’s models are trained to not replicate works for consumption by the public. Instead, they learn from the works and extract patterns, linguistic structures, and contextual insights," OpenAI claimed. "This means our AI model training aligns with the core objectives of copyright and the fair use doctrine, using existing works to create something wholly new and different without eroding the commercial value of those existing works."

What do you think? Do they have a point and is their alleged law-breaking simply for the greater good of pushing civilization forward, or is this just a desparate comment of someone who based their business on illegal material?

So many tragic plane incidents lately. Is there any reason for this increased occurence, or is it actually within normal margins?

That's fascinating, and there seem to be so many sources to confirm this, I wonder if there are any areas in the world where a system like this would be viable.

I think it’s different to move fast in terms of your product vs. moving fast in terms of your tooling and equipment.

The article rightly points out that for most companies, there is simply no need to move to SQL Server 2022, the 2019 suffices and has LTS for another five to six years.

Infrastructure should be boring, tools should be boring . The more boring they are, the better support they usually have, the more stable they are.

One often doesn't.

https://www.fastcompany.com/91227786/teslas-latest-tragic-fi...

Four friends died on October 24 in a Tesla Model Y that caught fire after crashing into a safety barrier on Lake Shore Boulevard in Toronto. After the crash, it appears the car’s electronic opening mechanism stopped working, preventing the occupants and others from opening the doors.

Romania has certain laws pertaining to running in an election, which this candidate has broken. Regardless of any connections to Russia, you have to declare your spending, you have to be transparent about how much you invested into your campaign and there are limits as to how much you can spend.

If a candidate ignores the law, they are barred from running. That is the basis of democracy.

I do agree that it should be noted that this was the winning candidate from the first round, and so a lot more care should be placed into making sure the case is airtight and no errors were made in the investigation.

Do you think there should be no such laws? Or do you think the courts have made an error in their judgment?

I have failed to access the actual paper written (what wonders of open science), so if anybody could elaborate a bit more, what kind of questions were actually given to participants of the survey?

People tended to underestimate gender differences in areas such as cognitive abilities, occupational distributions, and academic performance (e.g., GPA in different college majors). In contrast, they overestimated differences in personality traits, behaviors, and social attitudes.

Would a question be something along the line of "Which gender has better grades in STEM?" or "Which gender works more often as a nurse?". If so the results do not surprise me much, but I would be definitely interested if there are any actual findings from this research.

Link to the original source for the percentage, obviously embellished: https://www.youtube.com/watch?v=IACHfKmZMr8

Writes maybe, but how much time is spent on debugging the terrible code written for the last five percent? Connecting bits and bobs together is pretty critical towards a fully realised product, and as the interviewee in the video points out, "it's not very good at debugging", because of course it is not. Has anyone actually made an AI workflow that would allow it to debug and actually solve real business problems? The best I've seen was solving off-by-one bugs, pretty obvious ones at that.

What a great article, I haven’t encountered term textile neocolonialism yet, but it does seem fitting for this behaviour. The method they used to track the clothes was interesting:

* We sewed AirTags into each of the 15 garments, hiding them in folds and pockets so that they weren’t visible at first glance. These devices allowed us to geolocate the pants, shirts and jackets thanks to a signal they emitted every time they got close to a phone. There was just one problem: the device would beep when this happened, revealing its presence. A technician from Greenpeace made our job easier by removing their capacity to beep and just like that, the AirTags became our silent allies*

Is this a known trick, can you just make all AirTags silent?

Of course highly politicised articles will be controversial and a lot of time will be spent moderating it, but I have to be honest, I don't actually use Wikipedia that often to look at current events. For me, Wikipedia is at it's best when describing factual, settled data in a neutral point of view. I don't believe that such a thing is possible with current events, even though Wikipedia editors do seem to strive for it.

I'd much rather these resources be aimed at refining the articles that are objective and settled, rather a political back and forth. I love the /r/AskHistorians 20 year rule, which serves them really well.

I don't really care one way or another on this issue at all, just finding the style of communication rather interesting.

There may be an actual discussion to be had as to whether such experiments could actually bring forward any interesting findings, so in the most unpoliticised way possible, could anyone shine a light as to whether results of such experiments could translate to humans?

I really liked Tom Clancy's book Clear and Present Danger, in which a group of covert American operatives begin harrasing cartels in South America. Very well written, very enlightening on the subject.

I will be very interested in how this research continues.

What a great site, I love this presentation, got a genuine chuckle out of me.

That said, I think months may just be one of those terrible systems that are too ingrained in our society.

I still wish we could do 13*28 + 1.25 days, thirteen months with twenty eight days each, every month starting on a Monday, with a special 'festivity' day at the end of each year, sometimes 2 days. That would work a lot better I think, but because of proud Roman emperors, we are learning and working in one of the worst arrangements possible.

AI tools are introducing errors in research papers.

Wonder which is more common overall? Can AI spot more errors than it creates, or is it in equillibrium and a net zero?

Other than these quips, I am actually a fan of this movement. Anything that helps in the scientific process of peer review, as long as it does not actively annoy and delay the authors is a welcome addition to the process. Papers will be written, many of them incorrectly, with statistical or procedural errors. To have a checker that can find these quickly, ideally pre-publishing, is a great thing.

You can send satellites to space on Python, you can paint Mona Lisa in Windows Paint. There is a lot to be said about restrictions forcing creativity, and what I'd like to specifically highlight was Every Frame a Painting's video on Chuck Jones, a Looney Tunes animator who would go out of his way to handicap himself, so that he could find humor in that.

https://www.youtube.com/watch?v=kHpXle4NqWI

As long as your tools get the job done, use anything. (Except in work, because if you refuse to use collaboration tools everyone around you uses, I hate you.)

For me, a cheap European student, this will always be the biggest upside for open-source. Free as in speech is important, sure, but free as in beer is undescribable to a young person who wants to tinker, experiment and create stuff, without having the ability to pay for all the newest tools.

I still am sometimes reminded of the quote, "Every digital artist's career started by pirating Photoshop". Actual individual people can't afford to pay all these fees, but their future career may depend on having the experience with said tools.

For any speed readers out there, is there a specific speed you have settled down on, or do you always try to improve it by a bit?

My understanding is that the comprehension goes down rapidly as you increase your speed, and despite being a pretty speedy reader, I often find myself turning back pages to understand information I did not quite absorb. Maybe I could do with a little bit less speed after all.

Great article that I disagree with fully!

Like anything, universities provide a service. That service, for me currently, is getting a degree afterwards. If that service ceases, my interest in the university ceases. If the cost of such a degree is larger than money I would expect to earn over a certain period, my interest in the university ceases.

I know that people in other countries (I'm from Europe) have absolutely different opinions, which the author does point out, I still feel like going into debt for hundreds of thousands of dollars for something that is not worth it may not be.. smart.

Edge computing will enable applications like predicting when kitchen equipment—such as fryers and its notorious McFlurry ice cream machines—is likely to break down, Rice said.

It is not hard to know if a machine is broken. There is an entire map dedicated to this, which shows state-wide broken rate as high as 40% for some states.

https://mcbroken.com/

If you know these machines are broken and they are not being fixed, what use will be to know what machines will break in the future? This is not a technology problem, this is a business and people problem. Another case of companies using AI to garner positive marketing, instead of improving their service and customer's experience.

Perhaps this is not a technology problem, but a people problem? Of course forum mods are going to be overly invested into the topic and might be a bit pedantic, but Reddit also has mods, they're also oft terrible. So why is one dying while the other is doing rather well?

I agree that Discord is a terrible gated community that is horrible for searchability. But there has to be something about these platforms why the people prefer them.

Business will always take precedence. I don't like it, never have, but if you have to decide between writting well documented code and code making money, always choose the latter.

Good companies will recognise that this should be a balance and provide their developers enough time to do both to a satisfactory degree. Sometimes the devs will have to push for this, and will meet resistance, but as with everything in engineering, nothing is black and white.

Write the best code you can, under the circumstances you can. It's a delicate balance.

Maybe it will take Air Force One falling out of the sky to realise for Boeing that they are doing something wrong.

I think it's understandable - nobody wants to overwork themselves at sweatshop Boeing, so they have to lower the requirements to find at least a few people willing to work there.

Should Boeing change they culture instead? Yes, a million times, by now it is a few years late. Will they, as long as there is no pressure on them and they are too big to fail? Remains to be seen, though I have my bets.

You are completely right, my bad! Fixed the source now.

If we ignore the societal grudge held against its owner, this is not much out of the ordinary, right? SpaceX's usual experiments go along the lines of doing it once or twice in the right way, then pushing the limits as far as possible, to find what those are.

You might have a problem with this approach - the waste is large, the environmental impacts terrible. But they got to where they are exactly by this process. See articles such as SpaceX Launched Over 80% of All Orbital Payload Mass in Q1 2023 (https://www.nextbigfuture.com/2023/05/spacex-launched-over-8...)

Europe could stand to learn a thing or two. We still do our launches in secret, often not telling a public that there will be a launch until the satellites are already in space.