If it were open source and someone cared enough to fork it, then presumably there are open licensed contribution to the repo that Siemens won't own the copyright to.

What happens to those? Can they be taken closed source at all?

This is fine if you are comfortable showing that SOME chip can be run in space at SOME cost, but it skips all the details that drive whether a data center in space is will work logistically and economically. There are many of these details, including but not limited to:
- Is it possible to use convective cooling in space? If so, how does one design it so that the convective fluid doesn't just dissipate? If not, can chips be designed that successfully evacuate heat radiatively or do the chips burn themselves up?
- What is the balance between collecting energy on the sun side of the system and protecting equipment from cold on the shaded side? Does the equipment have to survive large temperature cycles? If it can't does the data center have to use thrust to rotate itself to keep the hot side hot and the cool side cool? What would that mean for design cost, for refueling?
- How does all of this equipment (solar panels, batteries, GPUs, communication equipment, thrusters, control systems) deal with the high levels of ionizing radiation in space?
- The design and duty cycle of all these pieces of equipment implies various levels of refueling, repair, etc. Assuming all that can actually be done successfully at rocket's length, is the total cost within what the market will pay?
These details whether a data center can be made operational at all and if so whether their economics make them worth doing.

What Google is doing strikes me as a pretty sensible step - put a few chips in space and see what happens.

What Elon Musk does is claim that something will be solved next year and do some pump-and-dump crap around a company he claims will be doing that thing next year.
Where is "Full Self Driving", as in you can actually let the car drive and not monitor it? Where are the fleets of "Optimus" robots? Where is Tesla's super-awesome battery tech? And the Cybertruck that can float?
Oh right, they'll all be here at {year} + 1.

Sadly, it often is faster to do that than work within the old bureaucracy and its entrenched people, rules, and regulations.

This is pretty much a textbook case of a stopped clock being right twice a day.

Notwithstanding Hegseth's absymal record prior to and within the Department of Defense/War/Being Tough, the war in Ukraine has showed how different war can be run than the way our military is currently organized.

Even if if you don't buy the army having "Transformers" type robots punching each other out (and I don't), it's clear that there is going to be a lot of "AI"-ish and highly automated stuff fighting wars. There needs to be a unit devoted to understanding FPV drones on land, sea, and air, plus all of the infrastructure for using them, defending against them, the communications to run them, training people to manage these kinds of weapons and units.

Just to note, the WSL containerisation approach is horrible for anything I/O intensive. WSL 1 had ELF binaries supported by the kernel and ran natively, this is a far superior approach to WSL 2's containerisation when it comes to raw speed.

I benchmarked this a few months ago and it was between 300%-600% slower on raw disk performance I/O.

It's not real. It's not intelligent. It's a probability matrix - a very good one, but that's what it is. When people say they 'convinced it', what actually happened was they started using language recognisable in a subset of the model's training data and the model responded using probability with data from that same subset as it's statistically closer.

In this case, they used language which is the kind floating around with people negative to AI, and so the AI constructed a sentence using data in their "negative to AI" section. Nobody got convinced of anything. It's very impressive, but it's 'just' a probability matrix.

I just wanted to let you know that you have successfully driven me off of /., after some 25 years.

Not just you, obviously, the site has been in steep decline for a long time, but you were such a huge asshole that you managed to be the last straw. So, congrats for that. I won't be back.

I was listening to this on BBC news on my commute this morning (in the UK). They said it attacked a Medicare site, which is the Australian national health system. My immediate thought was "ah, so someone in the US asked it to do something with Medicare records and forgot to limit it to just the US then". So off the AI trots to do exactly what it was asked to do - "collect records on Medicare', without any regard to geography at all. Hence this 'hack'.

I mean, I'm just guessing so that opinion is worth what you just paid for it. It does sound plausible to me though.

At present, no. I've done a number of experiments with LLMs' capabilities with generating fiction, and while they are impressive for a beginner writer -- because fo the lack of spelling and grammar mistakes, they are nowhere near being able to write competent fiction.

This is because they don't model reader or character minds, they're based on word probabilities, like a predictive text keyboard. The engineers can compensate for for this to a surprising degree by feeding it data to recognize specific situations (e.g. the car wash is 100 feet from my driveway; should I drive or walk?). But this is turd-polishing.

AI technology practice isn't foundational. Critical thinking is. The closer AIs come to being able to do something that looks like them doing our thinking for us, the more capable we have to be at thinking without them. A human who can't outthink an AI adds nothing to an AI-human partnership.

This proposed school is a typical scheme by people who think because they have been educated, they understand how the education works. This is like thinking because you eat, you know how to cook. Project work in education is nothing new; it goes back well over a century. And in real life, you may get a STEM degree, but your real education in engineering comes from real life work. But that doesn't mean classes in calculus and physics don't do anything for you.

Or English classes, for that matter. Nobody doubts the value of project work in education, particularly *androgogy* -- the education of adults. But for *pedagogy* you have to establish foundational skills as the student matures intellectually and socially. Entering the high school years, a typical student has had *no* training in critical thinking skills. To develop critical thinking skills in an area, you need both general skills (epistemologicla literacy: research, location of orignial sources, dealing with conflicting evidence) and domain specific training in that area. In other words, *liberal arts* training is foundational in an AI-saturated world. "Liberal Arts" -- from *artes liberales*: literally the skills necessary to be a free person.

But I think these people have at least got the problem right: as AI drives the cost of elaborate projects down, we all have more projects in our future. Big, elaborate, faultlessly plausible-looking projects which may or may not have actual value.

Where they are completely wrong is the solution, which is to organize education around practicing using AI to make impressive projects. In a word of AI-enamored dunces this will put you at the head of a very sorry class of ignoramuses. The answer is to build fundamental cognitive and intellectual skils at every stage of a student's development. Project work is surely part of that, but it's just a technique, not a solution.

In a nutshell, the academy is training students to be the next step down the evolutionary scale from code monkeys. More like the pigeons B.F. Skinner trained in WW2 to peck at a screen, in an attempt to create a primitive guided missile without computers. They want to create "main characters"; and they'll probably create a few. There are always a few natural autodidacts in any moderately large group. But what they are set up is to produce a bunch of fragile, economically privileged narcissists trained to cover their lack of education with impressive-looking AI slop.

"there is no right or expectation of privacy in public"

I agree (UK so different laws, but the principle is the same). However I increasingly feel this needs to be revised somehow. I'll admit up front I don't have all the answers here, but just intuitively it feels to me that this principle predates the era of cheap, automated mass surveillance whether government or private.

In the UK, privacy is protected via the Human Rights Act and UK GDPR. It provides for some level of protection, but it really seems to me that specific rules to address this kind of blanket recording need to start coming in. The definition of 'commercial', for instance. Is it commercial use if I record you on my glasses and then post it to Youtube? Arguably yes, since YouTube is a company and derives revenue from that. Same for Meta. But it's very, very far from clear to me if that claim has enough weight to prevail. A specific set of rules to address what is essentially a new phenomenon needs to be brought in.

Recording is not new. Photographing is not new. But the ease and scale via which it can be achieved, manipulated, tracked...that is new.

More like 99.99%. Maybe need some more nines in there. Large C codebases without regular critical CVEs are basically nonexistent.

What bankruptcy-prevention actions are they asking for?

Is that on top of the 30% federal tax credit?

15-25 kWh drawn by the utility is quite a bit! I hope they're paying him well for that.