"Cybertruck is necessarily lowest priority for FSD..." - Elon Musk (12/30/23)

[GuyV]

my understanding would not work for Towing, as trailers are different sizes, and there will be no sensors on the third party trailers and RV etc. it is doable I agree, but needs lot of data and development..

They have to be working on all of it or the Semi would never be viable.

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[GuyV]

lol ok well the Tesla company doesn't revolve around you, guy

Meh, close enough.

 

[charliemagpie]

CT is in the hands of only a few people, Tesla is concentrating on the 5 million, not the 5000.

Musk has an issue with frankness, which has people offside. It could be Dojo coming up to spec to run CT simulations, and/or higher priorities taking precedence.

imo FSD for CT will come soon enough... just not this month or three.

The guy is changing our universe, FFS.

 

[evnow]

I know this information by fact, I lived through it. I NEVER noticed the RADAR getting disabled.

Oh man. I suggest searching on Radar and how Tesla finds out distance without using radar. It was presented in one of the early AI days by Karpathy. Discussions around this raged on in TMC for months and months.

 

[Woodrick]

Oh man. I suggest searching on Radar and how Tesla finds out distance without using radar. It was presented in one of the early AI days by Karpathy. Discussions around this raged on in TMC for months and months.

Sure, they raged and raged and all the Radar folks ended up being wrong.

I'm quite sure that the software team stopped using Radar a few releases before they admitted it. The problem that they were facing is two sources of information, which do you trust. And the answer ended up that vision was absolutely fine.

After all, humans don't use Radar.

 

[VR Driving]

CT is in the hands of only a few people, Tesla is concentrating on the 5 million, not the 5000.

Musk has an issue with frankness, which has people offside. It could be Dojo coming up to spec to run CT simulations, and/or higher priorities taking precedence.

imo FSD for CT will come soon enough... just not this month or three.

The guy is changing our universe, FFS.

Honestly, I think Elon Musk is one of the most predictable people on this planet. He is just very logical.

 

[Nabilriaz69]

Sure, they raged and raged and all the Radar folks ended up being wrong.

I'm quite sure that the software team stopped using Radar a few releases before they admitted it. The problem that they were facing is two sources of information, which do you trust. And the answer ended up that vision was absolutely fine.

After all, humans don't use Radar.

I would say FSD level 5 with no radar will be challenging , have you seen Waymo cars , they completed 1 million miles with on two miner incidents
Yes human has vision but we have eye lids to clean , thousand times in a day. Also human eyes are equivalent to 500 Mega pixel cameras , which have not invented yet.
The challenge in rain and fog , only bright sunny conditions where Vision would work

 

[CyberTruckeeTheOne]

I would say FSD level 5 without no radar will be challenging , have you seen Waymo cars , they completed 1 million miles with on two miner incidents
Yes human has vision but we have eye lids to clean , thousand times in a day. Also human eyes are equivalent to 500 Mega pixel cameras , which have not invented yet.
The challenge in rain and fog , only bright sunny conditions where Vision would work

True dat!

My son working on aviation tech says that modern rada can detect whether a pile is just snow or concrete.

Am not starting another debate on camera vs radar again.

 

[Nabilriaz69]

True dat!

My son working on aviation tech says that modern rada can detect whether a pile is just snow or concrete.

Am not starting another debate on camera vs radar again.

Yes I know modern radars penetrate a lot ,
So they can read the density of the objects, I work on gprs work with drones. For example radar can see depth of swimming pool filled with water with water , also surface of the ground beneath the vegetation which Vision struggles.

 

[evnow]

I'm quite sure that the software team stopped using Radar a few releases before they admitted it.

Nah ... we knew exactly when. There was a degradation of FSD in rain when it happenned.

https://teslamotorsclub.com/tmc/posts/6067530/

 

[Woodrick]

I would say FSD level 5 with no radar will be challenging , have you seen Waymo cars , they completed 1 million miles with on two miner incidents
Yes human has vision but we have eye lids to clean , thousand times in a day. Also human eyes are equivalent to 500 Mega pixel cameras , which have not invented yet.
The challenge in rain and fog , only bright sunny conditions where Vision would work

I can tell you, with no question, that with the Tesla's front, side, and back cameras, that I'd be able to drive the car safely and optimally.

More resolution is not needed to drive and Radar definitely doesn't have high resolution.

Tesla is quite adequately looking at the road and measuring distances and determining objects today. The problem is what do you do with all of that information.

And I'm pretty sure that the increase in resolution for the V4 cameras was ONLY for better night vision or just because newer camera had it anyway.

One of the biggest problems with manipulating large sets of data like photos is that if you double the data, it requires a LOT more than doubles the processing requirements, it tend to quadruple or worse.

Have you watched TV? Are you able to recognize and determine relative distance from it?

And don't forget that I don't give a crap if a car is 400 ft away or 450 ft away. I just care which way it is going and the direction.

Oh, and BTW, my car does quite well in rain and fog. My wife has learned that it can often do better than she can.

 

[Nabilriaz69]

I can tell you, with no question, that with the Tesla's front, side, and back cameras, that I'd be able to drive the car safely and optimally.

More resolution is not needed to drive and Radar definitely doesn't have high resolution.

Tesla is quite adequately looking at the road and measuring distances and determining objects today. The problem is what do you do with all of that information.

And I'm pretty sure that the increase in resolution for the V4 cameras was ONLY for better night vision or just because newer camera had it anyway.

One of the biggest problems with manipulating large sets of data like photos is that if you double the data, it requires a LOT more than doubles the processing requirements, it tend to quadruple or worse.

Have you watched TV? Are you able to recognize and determine relative distance from it?

And don't forget that I don't give a crap if a car is 400 ft away or 450 ft away. I just care which way it is going and the direction.

Oh, and BTW, my car does quite well in rain and fog. My wife has learned that it can often do better than she can.

Yes I do not want to start Radar vs vision discussion, each solution has merit and demerits
Radar are bulky but has less data to process because they work on points not picture.
You nailed it processing of data quickly is the challenge.
I heard even dojo computer of Tesla is slow what is available by new chipsets by Nvidia, Tesla bought older version of the chips for dojo
So we will see how it turns out in future , I know it is doable but 90% to 100% time will tell.

 

[cybercoffee]

Yeah, except I made enough with my TSLA stock to buy two Cyberbeasts and have money left over.

don't cash out yet! ?

 

[Woodrick]

Yes I know modern radars penetrate a lot ,
So they can read the density of the objects, I work on gprs work with drones. For example radar can see depth of swimming pool filled with water with water , also surface of the ground beneath the vegetation which Vision struggles.

Not sure of many instances where driving into a pool or vegetation to find the hard thing on the other side would be appropriate for a car.

Why do you say "surface of the ground beneath the vegetation which Vision struggles" are you referring to the car not wanting to drive on grass? Because if you are, I'm pretty sure that you are coming to the wrong conclusion of why it doesn't do it.

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