Have you tried all of the usual fixes, like uninstalling the Tesla app, re-registering Bluetooth, etc.?I found that this new update castrated my iPhone’s ability to unlock the doors without fuss, more than 50% of the time now.
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Have you tried all of the usual fixes, like uninstalling the Tesla app, re-registering Bluetooth, etc.?I found that this new update castrated my iPhone’s ability to unlock the doors without fuss, more than 50% of the time now.
Rebooting the car...Have you tried all of the usual fixes, like uninstalling the Tesla app, re-registering Bluetooth, etc.?
Double tap the park button and summon will activate after you close the door.
Their wage would not even be remotely similar. Front End developer base is ~$70,000 and an AI/Machine Learning Engineer is between $140,000 and $240,000 IF you can find one. There aren't that manyAnd I am pretty sure they could've re-allocate budget that pay for the UI dude's salary to hire neural net/FSD person instead. Assuming their wage cost is relatively similar.
Guessing you're HW2.5. As far as I'm aware this isn't an issue on HW3 (never been an issue for me on HW3). I'm amazed Tesla hasn't addressed the black screen bug in all this time. Bewildering, really.
I have never had the Black Screen issue on my car (July 19 Build, HW3), but it is not occurring on my car after this update. Started a few days after the update however.
And are you sure they only have just ONE(1) "Front End developer"? What if they have 10 and just reduce it to 8 and add extra 1 AI engineer? This is called resource reallocation.Their wage would not even be remotely similar. Front End developer base is ~$70,000 and an AI/Machine Learning Engineer is between $140,000 and $240,000 IF you can find one. There aren't that many
Nope I'm not sure of that. But what is certain is you can't go to 0 front end (UI) developers if your software has a UI, changes elsewhere can introduce UI bugs that someone needs to fix. And at the scale of tesla we're not talking 10's of people on these teams. The scale is an order of magnitude over that. There's around 200 people on the Autopilot team alone. As well I think you missed what I implied. Machine Learning/AI/Neural Net Engineers are incredibly difficult to recruit. I work in the "Big Data" realm of Software engineering, meaning at this company and my previous company I worked hand in hand with the ML/AI/NN engineers. They are not plentiful this industry is a very small world and it's very difficult to recruit people. I don't think Teslas ML/AI/NN engineer headcount is a function of not having budget for any more .And are you sure they only have just ONE(1) "Front End developer"? What if they have 10 and just reduce it to 8 and add extra 1 AI engineer? This is called resource reallocation.
And are you sure they only have just ONE(1) "Front End developer"? What if they have 10 and just reduce it to 8 and add extra 1 AI engineer? This is called resource reallocation.
Their wage would not even be remotely similar. Front End developer base is ~$70,000 and an AI/Machine Learning Engineer is between $140,000 and $240,000 IF you can find one. There aren't that many
Also it doesn't take 2 full time UI guys to add games to the car.
It takes 1 of them. That's already on staff full time to do "real" work. And it takes him maybe an hour or two total to do it.
Nope I'm not sure of that. But what is certain is you can't go to 0 front end (UI) developers if your software has a UI, changes elsewhere can introduce UI bugs that someone needs to fix. And at the scale of tesla we're not talking 10's of people on these teams. The scale is an order of magnitude over that. There's around 200 people on the Autopilot team alone. As well I think you missed what I implied. Machine Learning/AI/Neural Net Engineers are incredibly difficult to recruit. I work in the "Big Data" realm of Software engineering, meaning at this company and my previous company I worked hand in hand with the ML/AI/NN engineers. They are not plentiful this industry is a very small world and it's very difficult to recruit people. I don't think Teslas ML/AI/NN engineer headcount is a function of not having budget for any more .
In fact if you just look at their careers page they've had a number of long standing job postings in this area
There's also a Deep Learning infrastructure Engineer posting that's this year but that's more what I do that role would be less likely to actively push the state of Autopilot forward more quickly
- Autopilot System Software Engineer open since Oct 31 2018
- Backend software engineer AI tooling open since Jan 28 2019
- Autopilot System Design/Functional Safety Engineer open since Jan 28 2019
- Autopilot, Backend Software Engineer open since Feb 21 2019
- Staff Machine Learning Engineer Posting predates them adding dates
you can't just pick these types of engineers up off the street
You are prime mgmt material right there, thinking porting a game to a custom hardware platform should only take an hour or two lol
Careful, your ignorance is showing
Tesla hasn't ported any games.
You think tesla wrote an atari emulator?
No- they took the off the shelf one that's been around for years and years and just loaded it on the car. This takes very near to 0 time. Creating the launch graphics and adding it to the menu would be the most time consuming bit.
Likewise cuphead, for example, was ported by the developers of cuphead
Ignorance is indeed showing. Who's it is that's for you to decide
News story about Cuphead on Tesla cars said:Maja Moldenhauer from Cuphead developer Studio MDHR confirmed the work on the limited port to IGN's Ryan McCaffrey, saying Tesla only required that the game "play super, super clean" on the car's internal hardware.
Those aren't the people you want to be hiring. ML/AI/NN engineers that companies at the size of mine or Tesla ML/AI/NN engineers are mostly (but not always) PHDs. I'm often involved in the interview process for these positions in my company and I've been in this specialty for ~8 years now ( Data Infrastructure, I build and maintain the systems ML/AI/NN engineers use ). Actual qualified ML people are hard to find and don't move a lot. In any event if you want to discuss further we should do it in another thread or via PM this isn't the purpose of this thread.... says every kid that's taken the TensorFlow tutorial these days... dime a dozen
Those aren't the people you want to be hiring. ML/AI/NN engineers that companies at the size of mine or Tesla ML/AI/NN engineers are mostly (but not always) PHDs. I'm often involved in the interview process for these positions in my company and I've been in this specialty for ~8 years now ( Data Infrastructure, I build and maintain the systems ML/AI/NN engineers use ). Actual qualified ML people are hard to find and don't move a lot. In any event if you want to discuss further we should do it in another thread or via PM this isn't the purpose of this thread.