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If it's truly a monolith, then I'm fairly astonished
Are you referring to Ashok Elluswamy's CVPR keynote from June last year - Foundation Models for Autonomy? Tesla has been generating video trained on their fleet with 8 cameras for a while now. Presumably the general world model understanding how to predict how things work like vehicle physics and how drivers behave around traffic controls to accurately predict video should allow for end-to-end control.
 
(if there's a preferable thread for this, we should probably move it...)

by "toggles", do you mean:

- It switches stacks mid-trip as it moves into different geographic areas?

- It selects a stack for an entire trip as entered into nav?


Do you have a reference to the current FSD incorporating both stacks and switching between them?
I though I saw a post referencing the switch over, but perhaps I was confused.
Peeps in this thread will have better knowings.

Question is, is FSD Beta running V11 on highway and V12 in city, or is it all already V12?
 
Are you referring to Ashok Elluswamy's CVPR keynote from June last year
My astonishment comes from the fact that Tesla can spend years on developing multiple neural networks and data structures to feed their heuristic system, then wholesale replace it with a monolithic network in seemingly short-order. It probably speaks volumes about how kludgy the heuristic system ultimately was, and how well-fitted to the problem the monolith is.

Does anyone know how recently the techniques that went into this were developed? I know that 2023 was a huge year for machine learning. Is V12 dependent on anything that recent or was V12 just the result of a long learning process?
 
I though I saw a post referencing the switch over, but perhaps I was confused.
Peeps in this thread will have better knowings.

Question is, is FSD Beta running V11 on highway and V12 in city, or is it all already V12?

Context for this discussion:

I single stack for both introduced a year ago in v11.x:

Tesla has started a wide rollout of FSD Beta v11.3.2 for testers, which has a single stack for highway and city streets.

And I assumed v12 was based on that but there's some thought that v12 may have been a parallel effort that switches back to dual stack in some scenarios.
 
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At 48:15 a left turn was borderline unsafe. FSD kept slowly moving further and further as oncoming cars approached and it just then went for it. It likely impeded the path of the opposing left turn vehicle.
12.2.1 unprotected left.jpg


The driver definitely felt uncomfortable, and perhaps it's a smaller gap than many would take. I tried to look for the oncoming car in the visualization during the turn, but at a glance, the stream seems to be too low resolution along with steering wheel blocking the view.
Here's another livestream from this morning, but I haven't watched either.
 
is FSD Beta running V11 on highway and V12 in city, or is it all already V12?
Pretty sure 12.x is still running 11.x on freeways. Look for AUTO MAX set speed, 11.x control messages ("changing lanes…"), blue path differences when it switches.

v12 may have been a parallel effort that switches back to dual stack in some scenarios
Similar to 10.x with FSD Beta on city streets and NoA on freeways, 12.x now has end-to-end on city streets and old FSD Beta 11.x on freeways.
 
Does anyone know how recently the techniques that went into this were developed? I know that 2023 was a huge year for machine learning. Is V12 dependent on anything that recent or was V12 just the result of a long learning process?
It is my impression that the advent of end-to-end V12 is more about computing progress and less about AI technique. We've always known that end-to-end was probably going to happen, but we didn't have the training power to make it practical.
 
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Had a real smooth ride with the auto speed in the neighborhood over speed bumps and railroad tracks. I feel more confident in v12.
Are these railroad tracks like making a turn across Embarcadero or tracks that are raised from the main road crossing the ballast mound? Some railroad crossings in low traffic areas don't even have a barrier and can be really steep.
 
You double posted and answered in other thread.
Some people are posting about v12 in a 12 only thread and others are just continuing the conversation in a v11 thread. Can have two groups of people not necessarily following both threads (ie. I wasn't).
The "week" number corresponds to the subversion number. New features were added in that week. The reason it stays the same is it keeps all the subversion's features and doesn't add any new features.
The change of "AI end-to-end" is all the improvements videos of it is not a major "new feature"?!?! I see speed control, speed bump adjustments, parking lot improvements, pedestrian improvements, etc. Seems really odd to me like it is being downplayed intentionally.
 
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Maybe they haven't had a chance to play with it yet?
I'm personally waiting for wider rollout and more comparisons, but it definitely looks like this is almost ready for wide release as a Level 2 ADAS

Watching AI DRIVR's full video makes me wonder if they've somehow biased the system strongly towards following and mirroring lead cars, with the way the system behaves on open roads versus in traffic
 
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