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FSD Beta 10.69
- Thread starter Buckminster
- Start date
My 3 without a spoiler in Los Angeles has problems with the rear camera and rain.
But then it hardly rains here much.
Refresh MS with a super soaker rear camera reporting in, backing up into the garage gets more interesting lol
Earlier I saw a conversation about FSD in rain. I got to try it (10.69.1.1) in some decent rain earlier because I had FSD active and then it started to rain. It was a rural-suburban Midwest two lane highway going about 60 with low-medium traffic and it did better than expected, especially on a decent curve. It was raining hard enough to where it wouldn’t let me reengage after disengaging (I don’t remember why I disengaged).
Not sure if this means much because from what I’ve seen FSD can be nonsensical with weather intensity required to block or allow FSD.
My 2¢ tho, I was pleasantly surprised by it’s performance in the rain
Not sure if this means much because from what I’ve seen FSD can be nonsensical with weather intensity required to block or allow FSD.
My 2¢ tho, I was pleasantly surprised by it’s performance in the rain
Pdubs
Ingesting large quantities of LSD
I love this build. Put it on at the course and tested yesterday. Drove home on the side roads all the way to the gate from the other side of town and the best way I could describe it is, I felt like a passenger in the left seat. Not one intervention. It even did the two roundabouts I go through like a champ.
I was pleased.
Really enjoying the 10.69.2 
update along with the the other 100K paid subscribers.
update along with the the other 100K paid subscribers.
MrTemple
Member
Short term traders don’t care much about about FSD other than its headlines and their reactionary effects on other short term traders.
Long term investors see FSD the way they saw the first iPhone (which had no apps, barely any functionality, and was an expensive toy for tech-nerds).
The driving part of FSD sits on a MOUNTAIN of generalized AI infrastructure that is completely portable to other uses.
Tesla has mentioned this several times.
Killer advantages that have come out of the R&D that people buying FSD has paid for (all of which apply to generalized AI applications outside of a vehicle):
- NN architecture that can generate live 3D vector-map of the world (including printed detail) at decent framerate on a device low enough powered to walk around.
- The Data Cycle infrastructure that feeds new data to and trains these new NNs, which in itself in in its earliest incarnation is allowing insanely fast iteration on the NN system above. (This is the easiest one to sleep on, but the speed in which they replaced the object detection nets with the Occupancy net, AND the improvement in ability for this 1.0 version of the Occupancy net is incredible. And due to the Data Engine they’ve set up.)
- The worlds-first production NNPU, the Dojo v1.0 chip, which is already made for massive tiling and scaling (NN processing as a service will be a huge revenue generator, like Amazon’s various compute-as-service).
- A stable of most of the world’s newest and most of the best AI and NN engineers (and NNPU chip designers!). Remember that AI Day 1 was a hiring event. And their applications jumped insanely high. Tesla has a mega-size and mega-funded AI project and people wanting to work on AI are going there. This is the real reason Google and Apple dominated the past 20y. The engineers that were there and were paid to build cool stuff.
—
And this is just the stuff we know about today! AI Day 2.0 is going to be so revealing.
Data will be this century’s oil.
AI will be this century’s microchip. It will change every industry top to bottom.
Tesla may be overvalued as a car company, but anybody thinking of them as a car company is going to get burned again and again.
Tesla is a tech company. They will be a Tech giant in a decade.
Tesla is Apple in 2006.
AlanSubie4Life
Efficiency Obsessed Member
Yes this is why I said regulation does not matter. It does not even matter if all L3+ driving is banned completely. (Or even some L2+!)
But anyway Tesla is not the only one working on this stuff; we’ll see if they beat people working in specific areas of expertise at their own game!
There are certainly tons of applications, many of which we can’t even think of at the moment.
(And, for the same reasons, notably, it does not matter if FSD does not work (as I said)! What if it is the most challenging application?)
Cheburashka
Active Member
Wow. All this hard work and they can't get autowipers out of beta.
Stop spreading Elon lies and go out read a book and actually educate yourself. You have clearly been spending too much time in that bubble.
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wow, that sounds like a dumb UI design decision. Should be consistent.
AlanSubie4Life
Efficiency Obsessed Member
Maybe I am just wrong, but I was looking for it when applying the brakes relatively lightly. Did not try slamming them on like FSD. However, I did try brake application several times while glancing over and no obvious signs. I’ll report back if I discover that I am wrong.
AlanSubie4Life
Efficiency Obsessed Member
We’re talking about the Tesla UI. I am sure there is a rationale for Tesla too (perhaps similar).
One I can think of is when you press the brake you disengage. If some silly person is looking at the screen during an emergency brake they might determine (if it showed manual braking) that the car was doing the braking…and relax brake pressure. This design choice reduces mode confusion, perhaps, at the margins. When you start braking, the displayed braking drops to zero.
Should reduce chance of UI confusion where the user thinks FSD is braking (when it is actually the driver).
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Do you think the replacement started with Karpathy's leave? Although I have my doubts on how much can actually be replaced and potentially instead a merging down the line.
It's been interesting seeing what the occupancy network visualizes with 10.69 as it seems to ignore trees and light posts but sometimes renders fences that aren't even directly next to the road.
Today it correctly visualized concrete barriers for construction although previous versions correctly rendered them as road edges and pathed appropriately. As for actually new driving behavior due to occupancy network, last night it gave extra space for a tipped over shopping cart that was in a bike lane.
powertoold
Active Member
No, I think Tesla has been working on general object detection for a while now. I rewatched AI Day and Ashok's recent talk again yesterday, and the NN stack with the occupancy network and what Andrej described during AI Day are exactly the same (raw input -> Regnets -> BiFPN). While this doesn't mean that Andrej helped with the occupancy network, I think the occupancy network's foundations were conceived for FSD V11, but it took them a lot longer to get it all polished enough for deployment. Elon has teased V11 release since July 2021.
Ashok (and the FSD beta release notes) mentioned that the occupancy network was previously based on single frames, and the big advancement with 10.69 was that the network was now consuming video. Elon has also been saying that Tesla was working on making their NNs do 4D video since mid-2021. I assume this was also related to the occupancy network.
willow_hiller
Well-Known Member
Tesla hackers had been playing with a voxel occupancy network that was running in the background since about October 2021. I'm guessing 10.69 is the first firmware version to actually utilize it:
Something that I haven't seen anyone else mention is how long it takes to slow to the posted speed after a speed limit change. I often drive on 2-lane highways that pass through small towns. The speed limit can change from 55 to 45 to 35 and even 25 in short order. FSD beta (10.12.2 still for me) takes a very long time to slow down. Sometimes I can be through the town completely before it reaches the lower speed limit. That is a very good way to get a ticket!
As a result, I typically have to disengage every time I enter one of these little towns. Once I slow the car down, then I can reengage.
powertoold
Active Member
Yes, I find that the delayed slowing actually mimics most human drivers, but yes, it's a ticket risk.
While this may be true scrolling the wheel speed down is definitely WAY less responsive than a human wanting to slow down.
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