I made something like with a similar aesthetic a few years ago but themed after win95 (which seems to be hardly unique these days). But it had a secret gimmick where aspects of it were implemented with in terms of itself (mostly, file icons could be edited within app and you could see them update on the desktop).
I had grand plans for it but they never eventuated.
I got to 3, then opened one of his YouTube videos in the "bottom" browser. Nothing seemed to happen then the audio started playing and everything slowed to a crawl. After closing the tab the audio kept playing and my entire PC became unusable until I rebooted. I'm not even mad, I'm impressed!
We being who? What is your evidence it's better? The fact all the cars stopped moving when the power went out? The fact they cost WayMore? Show the evidence for your claims. And they have remote operators as proven by the power outage.
Apologies, I was unclear with the "i.e." bit I assume, to spell it out: I think after struggling with it over years its time to call it because Waymo has a scaled paid service, no drivers, multiple cities, for 1 year+.
It’s because you spam this thread so much with such aggressive language that it honestly is scary to deal with you.
You’re smart Darren, and so are other people, you should assume I knew the cars have remote backup operators. Again, you’re smart, you also know why that doesn’t mitigate having a scaled robotaxi service vs. nothing
I doubt you’ll chill out but here’s a little behind the scenes peek for you that also directly address what you’re saying: a big turning point for me was getting a job at Google and realizing Elon was talking big game but there’s 100,000 things you gotta do to run a robot taxi service and Tesla was doing none of them. The epiphany came when I saw the windshield wipers for cameras and lidar.
You might note even a platonically ideal robotaxi service would always have capacity for remote operation.
I can't tell if this was suppose to be for me, I am not Darren. The reply was on my thread...
My replies are at the same level as that which I respond to, never aggressive IMO.
And if you "knew" something about the relevant topic and leave it out, that in itself is part of the dishonesty.
So once you got a job at Google then you felt Waymo was better, hmmm.
Tesla has a robot taxi service that in some cases has nobody in the car. Also everyone that owns a Tesla has experienced FSD in which it goes from A to B without being touched which is the same as it driving by itself. A person just went cross country and back with this. So to say Tesla is doing none of the 100,000 things you think are required, I think that says more about what someone at Google thinks is needed vs what is happening on the ground.
I am not against remote operation in some cases, but those suggesting Waymo has solved this need to admit that it relies heavily on them for basic decision, like what to do when the power goes out at intersections.
This is such a weird take when Elon Musk is still letting his Optimus robots be teleoperated for basically every live demo. If you're lenient with him, it's completely unreasonable to be strict with Waymo, which works autonomously the vast majority of time.
Optimus is early days, and my take isn't against remote operators but pointing out that Waymo relies on them much more than Tesla. You can go from 1 side of the country to the other without ever touching the wheel, something Waymo could not do. And the SF power outage incident showed us that it is actually only autonomous until it isn't, then you have a bunch of cars that can't move and won't and do not.
What's lacking here? Waymos are driving driverless in multiple cities and Teslas are not. Robotaxis have a person with hands on button at at times for emergencies.
They might get better but how is that not evidence enough that currently Robotaxis are behind Waymos in self driving capabilities?
This was your chance to provide the evidence to your claims. It is conjecture what you have provided. Waymo requires the remote operator make decisions often, such as at uncontrolled intersections when the lights go out, as shown in SF. Just because you don't see the strings doesn't mean they aren't there.
Show the cost differences and do the math then come back to us before you can suggest what decisions were ill timed. Otherwise it's just armchair engineering.
Camera's are not the issue, they are dirt cheap. Its the amount of progressing power to combine that output. You can put 360 degree camera's on your car like BYD does, and have Lidar. But you simply use the lidar for the heavy lifting, and use a more lighter model for basic image recognition like: lines on the road/speed plates/etc ...
The problem with Tesla is, that they need to combine the outputs of those camera's into a 3d view, what takes a LOT more processing power to judge distances. As in needing more heavy models > more GPU power, more memory needed etc. And still has issues like a low handing sun + white truck = lets ram into that because we do not see it.
And the more edge cases you try to filter out with cameras only setups, the more your GPU power needs increase! As a programmer, you can make something darn efficient but its those edge cases that can really hurt your programs efficiency. And its not uncommon to get 5 to 10x performance drops, ... Now imagine that with LLM image recognition models.
Tesla's camera only approach works great ... under ideal situations. The issue is those edge cases and not ideal situations. Lidar deals with a ton of edge cases and removes a lot of the progressing needed for ideal situations.
The issue isn't just the cost of the lidar units off the shelf. You have to install the sensors on the car. Modifications like that at the scale that Waymo does them (they still have less than 10K cars) are not automated and probably cost almost as much as the price of the car itself. BYD is getting around this by including them in a mass produced car, so their cost per unit is closer to the $130 off the shelf price. This is the winning combination IMO.
Waymo already has an automated integration line, and the new vehicles from Zeekr will come partially assembled from the factory as a semi-custom design so there's no modifications in the sense that you're talking about.
Tesla uses their own chips. Chips which you can’t skip by using lidar because you still need to make decisions based on vision. A sparse distance cloud is not enough
They have no fabs. They're using nvidia chips on server side last I checked, and what tsmc thei own design for in car? Those aren't cheap anyway. The markup on nvidia chips is high, but it's not _that_ high.
