No doubt there's much more profit potential. In the past he's mentioned a large price tag and subscription. But we're still struggling with L2. Maybe HW5 will pull out all the stops.
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I’m not sure about the need for thousands of good examples. I have no machine learning training, but I read a paper referenced here a while ago that might be relevant. The paper was about correcting errors in LLMs ([2401.07526] Editing Arbitrary Propositions in LLMs without Subject Labels). The idea was that there are already inexpensive techniques that allow you to interrogate the hundreds of millions of weights in your model to see which ones are most significant in producing a wrong answer. You can then tweak those up and down until the model produces the right answer with minimal effect on its responses to other inputs. This tweaking is also inexpensive and can be parallelized.My assumption has been that they are using tons of simulated stops, in order to program the fundamental stop-sign behavior and achieve the non-human-like profile. (Though it obviously still needs work).
They already said in the livestream video and follow-ups, that not only is it hard to find enough examples of the full-legal stop, but that the qualifying examples are heavily mixed with people who are fiddling with phones, mirrors, lipstick or whatnot, or otherwise plain bad drivers. In other words, even heavy-handed data curation is probably not the way to get this done.
I think they are one and the same. What is being described is something like this. Reaction time was 16 frames, about 1/2 second. If it’s going to do this, at least respond at superhuman speed. But good that reaction time is down to a half second, I guess. Nearly to below-average human performance! (Question: I wonder if the NN takes into account its known reaction time in the decision making?)Your case sounds more like a mistake and less like what others are discussing - which is yellow lights cause the car to immediately start to slow down when normally they would have proceeded through the intersection. Your case seems like the car didn't notice the yellow and then panicked stopped late
For the first time, we've actually got a short official tutorial for FSD:
Nice!For the first time, we've actually got a short official tutorial for FSD:
This is called ping ponging, and it’s come and gone but mostly been around since ~ Oct 2020? when did we start this rodeo?Has anyone noticed with the version 11 Highway stack that it is kind of weaving in the lane a little bit like trying to re-center or something like that?
Fake news. Autopark doesn’t let you select spaces on USS vehicles and lane change notifications don’t work (on city streets) on any vehicles (booo!).For the first time, we've actually got a short official tutorial for FSD:
I noticed the same improvement today with auto max speed. This is the second time on V12.3.3 that auto max changed. Initially auto max was extremely slow for me causing accelerator pushes. Then whatever Tesla did dramatically increased the speed and many complained that FSD was too fast. Now it's better and more useable. Having a lead car didn't seem to matter much.There was no traffic around whatsoever in both cases, which is why I was surprised it went closer to the correct speed this time.
Now in theory Tesla could be taking accelerator feedback and adjusting speed targets on map data autonomously, but I doubt they’re doing that now.
I missed a “lower” in that post. Anyway as I am sure you figured out, I think manual mode and ASSO mode speeds more there because the limits are 10-15mph lower than elsewhere all else being equal. I am used to seeing 35mph speed limits in Oregon and Washington where they would be marked as 50mph in California with people traveling 55-60mph.Ah ok, so you're saying you need to move to Washington then
I'm starting to wonder if our cars are being micro-adjusted or 'learning' because I expected problems with potholes in my neighbourhood (because of V12 driving reviews) and it was really careful.Two biggest reasons for disengagement now are 1) potholes 2) lane selection especially in Boston where I drove today. If I'm not in an urban area and don't have to avoid potholes my drives are zero disengagements.
In instances like that, I would try and get dashcam to capture… you can set it up to record with a. HORN honk, or just tap the screen.. that sort of video would be very useful for FSDb Engineering.First drive with 12.3.3 on my regular camp run.
Some good bits, some scarily bad.
First really bad bit -car decided the it really wanted to be one lane to the left, so it crossed double yellow lines into the oncoming traffic lane. WTF. Immediately took over before it got too far and reengaged only for it to do it again. I stopped it much sooner because this time there was oncoming traffic. Ridiculous that it chose that option on a two lane road with obvious double yellows.
On certain roads it will not see anything faster than a 50mph speed limit sign. It lets me dial up to whatever speed I need but ignores 60, 65, 70 mph signs. So when the limit changes from 65 to 70 then to 60, it just barrels along at the manual set speed.
Not inspiring at all.
Sure it’s more natural but I’d prefer robotic 11.4.9 that at least avoids oncoming traffic thanks.
Agreed. I have yet to see any video of the car doing anything that dangerous. The only real issues I have had are clearly seen on the route the car is trying to take. I feel the car is driving fantastically but is let down with the route plannerIn instances like that, I would try and get dashcam to capture… you can set it up to record with a. HORN honk, or just tap the screen.. that sort of video would be very useful for FSDb Engineering.
It's been my experience since 2018 that when AP capabilities are up graded some ping pong often appears. In subsequent updates it goes away. I think I've probably seen a dozen cycles of that.This is called ping ponging, and it’s come and gone but mostly been around since ~ Oct 2020? when did we start this rodeo?
Past versions have shown some curious form of improvement over time witnessed by *many* people.I'm starting to wonder if our cars are being micro-adjusted or 'learning' because I expected problems with potholes in my neighbourhood (because of V12 driving reviews) and it was really careful.
I'm noticing more and more people saying it is getting better but we haven't had a new release in something like 7 days, so is it that people are getting used to the quirks or is the behaviour maturing on the fly without waiting for a new release? If this really is due to seachange of using the NN, this time it might really be different, not just incremental lipstick on a pig. (I'll forgive anyone who rolls their eyes at the "this time it is different" reference because I've lived through that sentiment disappointing people so many times in my life, I tend to mock people who say it, and, in this case, hesitate to use it myself.)
What is different this time is I made it as far as I did on FSDS today and am willing to take it out tomorrow and give it a second test (perhaps we'll ask it to drive 'home' to the SC, an easy 3 road drive except for the U-turn to get into the SC so we can finish the update I have that it thinks I still need). That has never happened before; every attempt to use FSD on city streets (or leaving it on at the top of highway ramps to make a right hand turn onto a road leading to a supercharger) has failed on previous versions. The first version's fail was the most spectacular, again just 3 streets to get us home and there were disengagements at every single intersection as it panicked, stuttered, signaled lane changes even though it was a single lane in our direction and we were going straight, and basically scared the crap out of us. Today I can't get the image out of my mind of the car waiting patiently for the traffic to clear enough to make a left turn, then making the turn confidently and the immediate next turn confidently (although, in that case it had a stop sign at which to catch its breath!) If that had been a teen driver on their first drive off our street, I would have been effusive in my praise.