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.
One of them is a bus hitting a stationary Tesla - hard to paint that as the teslas fault.
A few are low speed reversing into things, the extreme majority of which done by humans are never reported and are not in the dataset comparing how many crashes Tesla have had vs humans.
I would say they’re facts, but they’re being used dishonesty
> One of them is a bus hitting a stationary Tesla - hard to paint that as the teslas fault.
Since the narratives are redacted, who's to say the Tesla didn't change lanes to be in front of the bus, slam on the brakes, then get rear ended?
Or pull partially out of a driveway, stopping and blocking a lane with a bus traveling 35mph in said lane and got hit by it?
> A few are low speed reversing into things, the extreme majority of which done by humans are never reported and are not in the dataset comparing how many crashes Tesla have had vs humans.
I'm sure this happens to humans all the time, but not a single one of those humans would be considered a good (or even decent) driver.
That is a completely made up bar that is impossible to test for, and can never be met.
Even Waymo have tons of reported crashes in the same document.
Self driving cars need to be better than the average human - which means less injuries and deaths. Given 100 people will be killed on the road in the US today, it’s actually not a crazy high bar to clear.
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.
International drivers are allowed to drive on US roads as long as they have a valid license in their own country. In particular, Filipino drivers are allowed to drive on US roads without any extra paperwork.
But also, even in the USA, we have 51+ different licensing schemes in the US. We already accept that if you have a license in one place, it's good in all the places.
Indeed. I can rent a car and drive in the US, despite having learnt to drive and only having a driving license from a country which drives on the other side of the road.
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.
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.
Why not have a crack with a local LLM or two? You work in an industry with a lot of money involved.
Recently Apple have released beasties with up to 512GB of RAM. Apples have unified RAM (both for general use and GPU) so that 512GB looks a bit handy, and they have quite a lot of CPU cores too. They are of the order of £10,000. You should be able to run some pretty large models on that.
I've just blown a fair bit of money on network infra (yum: more switches that boot Linux for the control plane and shuffle packets at incredible speeds) at work so will need to wait a bit or perhaps persuade wifie that we really do need a really expensive Apple box at home.
The snag I have is getting over my mild distaste for Apple! I'm sure I'll manage it.
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.
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!
Seeing as how it's written in VB.Net, and 3 more of his 5 total public projects are also VB.Net, I don't think "selfless" really fits; I'll bet this project very much scratches this man's own itch.
Dedicated for sure though, and commendable, especially since it's FOSS.
reply