It's the same for me. I'm in Australia and on my work laptop I'm connected to an American VPN. It's showing my location as USA. I was wondering how it's detecting the country.
I've been through two restructures and both times I'd full access to everything for a month until my position was being decided. There thousand plus employees affected and not a single one did anything like what you've described. I'm Australian if that helps.
A 2mph bump isn’t nothing. If it failed to stop it can trample people. It can still do damage to elderly or disabled people. The 17mph collision may have caused some minor damage to the “fixed object” but that fixed object could've been someone standing still. Tesla is not making an effort, they're doing the bare minimum.
Shouldn't these workers in Phillipines be required to be licensed to drive cars in the USA to operate those vehicles (even remotely)? I understand that they're not really driving those cars. But they've control over these cars and they do operate them when required on public roads.
Well, they make perfect sense to buy down here in here Australia. When I replace my current seven year old ICE car, it'll either be a diesel or a petrol electric hybrid. In either case it'll be a Japanese one.
Environmental restrictions! All our data is on cloud and for customer privacy we're not allowed to download anything locally. We've access to most of the LLM models from all big vendors. I've found them to be very similar.
The site/visualisations look great. But having used AI tools in my programming, I still haven't been able to justify the cost (to the planet too) vs benefit. I've noticed that it's great for pattern recognition and if I've missed something small or missed a variable name here and there, then it's quite good at finding those problems. However, if I ask it to produce a complete piece of work, I've never been able to get something without any bugs. Forget about getting it to design data pipelines with customer privacy and data security in mind!
For reference I work in finance/econometrics and the code is often about numerical analysis written in SQL and python. More often than not I end up wasting a lot of time fixing issues with AI generated code. None of these nuances ever gets captured by metrics like these and it makes me question people (mostly sales and top execs) that push for "AI" at work.
I learned VB .net when it first came out back in 2003 (might have been earlier). VB was quite widely used back then and now days it's declined in popularity a lot. I checked the repo insights and it's a single person who's built this and has been maintaining it. Their contribution and dedication is definitely commendable even though the language isn't popular these and even more so on Linux! This is pure selfless programming!
Countless bodies consisting of the said meat have been responsible for the advancement of technology so far. If these meat brains don't contribute to any new advancements then the corpus of data will stay stagnant!