رونوشت 🔗
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Well, hey everybody, it's Chuck.
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Welcome back to the Model Y.
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Well, we got a new software version last night and I tell you what, the Tesla AI team has
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been working pretty hard because these software updates are now coming simultaneously.
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The AI4 Model Y, this car, and the Cybertruck both got this build number 20244532.5 as FSD
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13.2.5.
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And those of you out there on hardware 3 probably saw the exact same build number came out with
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hardware 3 version 12.6.2.
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So they're kind of aligning the releases on these builds, probably wrapping up the end
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of the 2024 build cycle.
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We're going to start seeing 2025 soon, I imagine, on some of these build numbers, but we're
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all kind of harmonized a little bit.
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Now those build numbers probably mean the feature set.
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So think of the things non-FSD related are all going to be the same.
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Holiday release and things like that aren't hopefully going to be fractured on different
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build numbers in the future.
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But in any case, I put a poll out last night and most of you said you wanted to see the
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Model Y first.
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So we're going to do the first impressions drive on both the Model Y and the Cybertruck.
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The release notes are identical to 1322, which is what this vehicle was on.
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The Cybertruck was on 1324, but now they're both on 1325.
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The release notes are the same for the Model Y as they were before, and they're the same
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for the Cybertruck as they were before.
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So we still do not have all of those future capabilities about increased model scaling,
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context length, and all of those things are still in the upcoming improvements.
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Just the top section here is all the same.
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So I don't really know what to expect on this version to have changed, but I figured we'd
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get out here and do it.
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It is Florida cold today.
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It is 34 degrees, you can see in the upper right-hand corner of the screen.
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So there's no ice.
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There's no snow, of course, out of the panhiddles where all the snow happened.
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But here we are on the Model Y.
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We have the press button to drive.
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We don't have this in the Cybertruck yet.
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And as you see, all I did was press the button.
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I am parked over here near the curb, object and path detected, takeover to proceed.
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There is no object in the path.
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It's the curb over here on the right side.
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I'll just kind of show you.
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I'm not on the curb.
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You can see there's just grass right there in the little gutter area.
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I'm not touching anything.
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It does say takeover to proceed.
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I'm going to leave that camera up.
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The steering wheel is turning away.
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It feels like it might get brave enough to try something.
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It should not be this afraid of proceeding.
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It's on a paved surface.
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So this vision system has to get better when it knows it's on a paved surface and not freaking
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out.
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And there it goes.
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I don't know what to say there other than the vision system continues to be a little
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bit skittish around grassy areas.
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Nice smooth stop there.
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Trash cans on the side of the road.
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You can see the occupancy network there is very busy.
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And it's going around those items there.
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Okay.
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So on protected left, it is, you know, after rush hour, we might have a little bit of traffic
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here to contend with, but we'll see looking for the question mark, looking for behaviors
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wide open on the left.
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So it should just go and it's not wide open on the right.
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So it cannot go and is it going to stop and it stopped, but that car kind of went around
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me and now it's jumping out into the lane and I'm throwing up this.
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It jumped out and did not accelerate like I liked.
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There was enough gap back there.
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That car had to slow down.
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This car in front of me jumped over.
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So it was a fine unprotected left, but I really kind of want that question mark back if you're
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going to go to the median and pause.
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It just gives you more room, gives you more time, more options and a better angle to accelerate
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from.
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Okay.
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Let's try one more unprotected left and then we'll up or cedar or drive.
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Stick with me.
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Okay.
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Here we go in our second unprotected left.
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Let's see if we can get any traffic to deal with here.
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There's our full minutes of stop.
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It needs to creep and we're creeping, we're creeping and we cannot go yet.
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It's going to be a large gap from the left and now it's going to go, but it can't go
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from the right yet.
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So see how it's going perpendicular and it needs to wait.
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That car got out of our way, but it's waiting and the left lane is clear and then we're
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proceeding.
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So that unprotected left was fine also.
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I'm just going to tell you, they have changed something with the behavior on the unprotected
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left.
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It is, it's less aggressive.
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The question mark maneuver is not there.
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It's not got the confidence it used to have.
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It's like they kind of smoothed it out a little bit.
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I don't like the crossing the first lane and kind of hanging out and then it felt more
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like a Cybertruck unprotected left.
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So I can't complain because it did it, but it didn't feel like they had solved it earlier
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in 13, you know, one and 13, two.
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It felt much more lethargic and less confident, I guess is the right word.
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And when you put yourself in the meeting at the right angle, you're safe if something
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else happens and it's not doing that at all anymore on either the Cybertruck or the model
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Y.
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So just food for thought.
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Unprotected lefts continue to be challenging.
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It did both of them, so we can't say it can't complete the maneuver, but that's where that
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is.
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Okay, we have a U-turn program here just kind of showing you there on the screen and the
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upper right hand corner.
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The forward facing cameras now have to find a gap, calculate a radius of turn and confidently
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execute that radius of turn.
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I now have a car behind me, interestingly, that should not affect the decision at all,
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just to kind of know, now here's the gap and perfectly.
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Little bit of a pre-roll there, nice hard turn, nice confident smooth.
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That was really good.
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So I wouldn't have changed that at all.
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I want the Cybertruck to have that confidence.
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And if you notice, look at the trajectory on the car when it's doing the unprotected
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left.
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If it's a solid blue without a lot of deviations in it, that is the confidence I'm talking
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about.
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It knows where it's going and it's able to execute it smoothly with the right amount
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of speed.
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If it's constantly having to recalculate its radius and it's unsure if it's going to complete
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the maneuver, that's where you get into those slow turns that on high speed cross traffic
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you lose time.
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And of course, time is important when you're making decisions.
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Got a little yellow light there, so we'll have a little bit of a pause here to bring
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up a few things.
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First of all, thank you all for watching.
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Thanks for all the feedback I've been getting over the last few weeks.
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I am changing up my format a little bit to kind of continue to talk about that.
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I'm syndicating the audio portion of my videos via podcast feed now.
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So if you're interested in just listening to audio only, many of you have given me the
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support to do this.
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If you just like to listen to kind of the banter and see how it's going, why you're going
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about your day, just type in Chuck Cook in any of the podcast media outlets, Apple Podcasts,
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Spotify, Pocketcast, it's all of them.
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Just type in Chuck Cook.
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And I say just type in my name because you'll see my mug show up most likely.
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If I decide to change the name of the podcast or anything like that, I don't want to put
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out a bad name or anything like that that I end up changing.
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And I have changed the name already a couple of times.
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I was going with some longer, more confusing specifics, but for now we're just going to
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call it by my name and you'll see my face show up with the same profile icon I use on
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X and YouTube.
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Yeah, so let me know any feedback from that.
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I'm not really going to try to cater to the conversation to audio only.
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So if you are watching this on video, you do see a lot of the screen and the other things
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that I have in the car and I might be pointing out and talking to, if you're an audio only,
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you just kind of have to get the gist of it and feel how it's going.
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This is going to be the typical Memorial Park first impressions drive, including some highway
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time that I've been doing.
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So we should be able to compare apples to apples on this from previous versions.
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Now interestingly, we do have to take a left turn up here in 0.3 miles and I would be over
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already and it's already kind of got itself in a situation with a car on its quarter
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panel that needs to get over.
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Blinkers on and it's going to have room and time to do it, but this planner and earlier
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lane changes.
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I don't want to say it continues to be a problem because the car usually finds a way of doing
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it, but some of the situations it gets itself in by not going earlier forces kind of a wedge
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itself into traffic and possibly even stopping traffic.
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It happens more in the Cybertruck than the Model Y for sure.
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The Cybertruck gets itself boxed out by a semi or something like that and when it gets boxed
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out, the planner works pretty hard at solving the problem before it gives up and reroutes
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and that's where it kind of gets dangerous.
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Here we are in a flashing forward facing unprotected left with a flashing yellow and then we're
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crossing some railroad tracks here.
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Still no symbology on the screen for railroad tracks, but it went over that at a fine speed.
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I do think it recognizes the railroad tracks somewhat as a speed bump or something like
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that.
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I don't think it sees them as like it should with the right symbology and I say that because
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stopping on the tracks are too close to the crossbars continues to be something that I
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worry about and I've seen varied performance on.
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That was a good forward creep there for visibility.
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Here's our first speed bump.
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Cheesy clear as day all the way down to 10 miles an hour there.
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If you notice, this is my narrow roads on Birkenhead and definitely don't have a curb
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on this one.
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The classy area is and I got the cameras up if you're listening just to kind of see to
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the right.
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It looks like it's giving it a nice good six inches.
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Another good knits of stop.
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It needs to creep just a little bit and then proceed.
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Yeah.
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Good.
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No problems there.
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Coming up on another speed bump, we're at 23 right now in a 30 mile an hour zone and
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there's the slowdown.
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Got all the way down to 10 again on that one.
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Good.
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There's that black cat.
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That's the same black cat that I almost crossed in the cyber truck that one time.
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Good stop here.
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Now this is a divided median.
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It should proceed completely, but I've seen it stop before.
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Okay.
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It just kind of cautiously continued to go.
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It was almost like I can feel it looking left and right as it's kind of continuing to creep
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across that double divided street.
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One more speed bump and it looks like it's stopping just fine for that.
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I'm going to go ahead and take those cameras off.
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And now we're coming up on our suicide lane turn.
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It's an unprotected left turn with a suicide lane that I've seen it use it as a resting
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spot before and other times it goes straight through it.
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So it just kind of depends what the traffic situation we see is here.
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Okay.
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We
definitely have some traffic from the left and okay.
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Now we're creeping.
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I thought it was going to go, but now we're creeping.
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You see, we have two cars in the suicide lane there.
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Okay.
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Now it's going.
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Now it's got to have to use the suicide lane to wait because it can't go there.
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Nice.
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So it is using the suicide lane still.
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There's the cameras to kind of see and then jumping out of traffic.
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That was a really good suicide lane turn.
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All right.
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Tesla AI like that.
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So you're using the suicide lane as a wait there.
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You did it at a better angle than you even did my unprotected left hand turn.
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So that means you have the concept of waiting in the model, which is exactly what you need
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to have deleting that point.
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All right.
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I haven't been busted for paying attention to the road yet.
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And I don't know if that's because I've been doing a better job looking ahead or if the
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attention monitoring has been tweaked a little bit.
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It seems like the amount of fiddling with the screen I do normally gets me busted a little
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bit.
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I'm trying to kind of keep an eye on that just to notice if anything has changed there.
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I don't know if I just look down for a second with my hat on and I count for a few seconds.
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I'm definitely not looking at the road.
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And there's attention monitoring available.
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Oh, it even says view the driver obscured by hat.
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That might be new.
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Or at least I normally don't get the hat warning.
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I'm looking, it's asking me for a steering wheel.
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I'm trying to use my eyes.
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I might have, there's my attention on the steering wheel there just to get that back.
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You see, I don't have the green light up there.
240
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That green light means it's not using the camera yet.
241
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So the camera kind of gave it a pause.
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Oh, good lane change there.
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It thought that car was going to stay in the closest lane, but it didn't.
244
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That car jumped out in front of us.
245
00:13:08,760 --> 00:13:12,320
It got out of the way so that car could join us.
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00:13:12,320 --> 00:13:13,760
And then let's see what happens here.
247
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We're in standard mode, vision monitoring is active, and we actually are in a school zone
248
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timing.
249
00:13:19,200 --> 00:13:22,040
So I am going to get in the right lane.
250
00:13:22,040 --> 00:13:28,040
So this car isn't, I'm doing this to not have that car be my lead car as I go to this speed
251
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limit zone here.
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So I'm 40 miles an hour.
253
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I have a flashing yellow light.
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It's going around that puddle and it's slowing down.
255
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Ah, see it jumped over here behind this car.
256
00:13:42,440 --> 00:13:43,440
Okay.
257
00:13:43,440 --> 00:13:44,440
Oh, look at this.
258
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So I've got, it stopped because they were crossing the road.
259
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So we're in a school zone.
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We have a crosswalk person out there with a stop sign.
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It stopped.
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I don't think it's, well, hey, it did exactly what it's supposed to do.
263
00:13:59,120 --> 00:14:03,080
I'm just trying to figure out if they thought they were J walkers or anything like that.
264
00:14:03,080 --> 00:14:07,000
And she's going back and it did a nice job with that crosswalk in a school zone.
265
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And there's the end school zone sign right there.
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So if it was reading signs or if it had that metadata in the map, it would know I'm out
267
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of the school zone and I'm going 33 again.
268
00:14:17,420 --> 00:14:21,360
So as we continue to test these school zones, that was a really good job.
269
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Tesla AI.
270
00:14:22,360 --> 00:14:26,720
I don't know if it was accidental that it all played out that way and that crossing guard
271
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was acting like a pedestrian that you're waiting for, but either way, the car handled it just
272
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fine.
273
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That was really, really good.
274
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The flashing yellow light is something it's got a feed off of.
275
00:14:39,360 --> 00:14:44,680
But I don't know, let's have a little conversation about school zones and other signs that have
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metadata that are perhaps local.
277
00:14:46,960 --> 00:14:50,000
You know, some places you have a flashing yellow light, some places you just have a
278
00:14:50,000 --> 00:14:54,360
sign with a crosswalk or
sometimes you have these bright yellow signs that's got the picture
279
00:14:54,360 --> 00:14:58,400
of the parent and the child crossing the road.
280
00:14:58,400 --> 00:15:02,320
That's just a school crossing, but it's not a school zone.
281
00:15:02,320 --> 00:15:06,720
Do we think that these signs are going to be read by a model?
282
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Because I don't know that globally we can have the metadata embedded in every map.
283
00:15:11,320 --> 00:15:12,320
That's depending on maps.
284
00:15:12,320 --> 00:15:16,080
And I've been thinking about this a little bit more, especially as some of these new
285
00:15:16,080 --> 00:15:19,800
AI models are coming out and they're getting cheaper and cheaper and cheaper.
286
00:15:19,800 --> 00:15:25,000
For those of you that keep up with this industry, DeepSeek R1 came out this week and just changed
287
00:15:25,000 --> 00:15:30,640
the game on the performance of an open source large language model that is comparative to
288
00:15:30,640 --> 00:15:35,040
the 01 model by OpenAI.
289
00:15:35,040 --> 00:15:39,040
And if the Chinese are able to get these models, put them in open source and they have this
290
00:15:39,040 --> 00:15:45,840
kind of performance, now granted, it's a 671 billion parameter model that has about 450
291
00:15:45,840 --> 00:15:47,200
gigabytes of model size.
292
00:15:47,200 --> 00:15:51,240
So you're not going to download this model to your Mac and run it in Olamma or something
293
00:15:51,240 --> 00:15:52,240
similar to that.
294
00:15:52,240 --> 00:15:53,240
It's going to require GPUs.
295
00:15:53,240 --> 00:15:57,400
It's going to require some hosted servers more than likely to run that full model.
296
00:15:57,400 --> 00:15:59,320
Now there are distilled models that are much smaller.
297
00:15:59,320 --> 00:16:03,640
That'll probably give you good performance, but not the same performance as perhaps we're
298
00:16:03,640 --> 00:16:06,560
starting to call these top end models.
299
00:16:06,560 --> 00:16:11,040
Now I say that only because as these models get cheaper and cheaper, and I'm saying cheaper
300
00:16:11,040 --> 00:16:16,720
to use via the API or the subscriptions come down, I believe that the DeepSeek model is
301
00:16:16,720 --> 00:16:20,200
cutting the OpenAI API cost.
302
00:16:20,200 --> 00:16:24,680
What was like $5 is now like 20 cents.
303
00:16:24,680 --> 00:16:28,880
It's something on that order of magnitude.
304
00:16:28,880 --> 00:16:32,560
If we're to say, oh, we're going to read signs with Grok, okay, that's fine.
305
00:16:32,560 --> 00:16:37,880
But what I don't know yet, and maybe some of you will comment in the conversation below,
306
00:16:37,880 --> 00:16:43,000
the Grok large language model be able to read and infer signs quick enough to give the data
307
00:16:43,000 --> 00:16:44,720
to the planner to act on.
308
00:16:44,720 --> 00:16:47,600
I think that's where we're in this difference, right?
309
00:16:47,600 --> 00:16:51,120
I can upload an image and it's going to read the image and it's going to say, oh, it says
310
00:16:51,120 --> 00:16:52,960
this, it's going to have a conversation about it.
311
00:16:52,960 --> 00:16:55,480
The reasoning models think about it even more.
312
00:16:55,480 --> 00:17:00,480
We don't have that amount of time from when something approaches as a sign to give it
313
00:17:00,480 --> 00:17:04,200
to the planner or even the vision model to act on.
314
00:17:04,200 --> 00:17:10,520
We've got to get that inference time down to what a large language model can't quite
315
00:17:10,520 --> 00:17:11,960
do yet, right?
316
00:17:11,960 --> 00:17:18,280
So I do think that Grok will be implemented as a replacement for our voice activation
317
00:17:18,280 --> 00:17:19,480
system in here.
318
00:17:19,480 --> 00:17:21,240
I do think that is coming.
319
00:17:21,240 --> 00:17:28,560
I think that because we can just have a conversation with the car basically and do web searches
320
00:17:28,560 --> 00:17:30,560
and all of those sort of things.
321
00:17:30,560 --> 00:17:35,320
But to read signs using a large language model might be something we're not quite there yet
322
00:17:35,320 --> 00:17:39,320
on the technology, the model size, the model speeds and everything.
323
00:17:39,320 --> 00:17:42,360
He's trying to get over this right lane because we're going to be joining the highway here
324
00:17:42,360 --> 00:17:43,760
in.3 miles.
325
00:17:43,760 --> 00:17:46,560
I liked that early lane change, right?
326
00:17:46,560 --> 00:17:48,680
So we still got a traffic signal ahead.
327
00:17:48,680 --> 00:17:53,400
It could have waited, but no, it was getting over to the right side here for this merge,
328
00:17:53,400 --> 00:17:55,240
which I think is exactly what it should have done.
329
00:17:55,240 --> 00:18:00,040
So I would say that did a better lane change than that first one with that flashing yellow.
330
00:18:00,040 --> 00:18:07,120
Anyway, coming back to the model size to be able to read signs, somehow we're going to
331
00:18:07,120 --> 00:18:09,480
have to have to do it.
332
00:18:09,480 --> 00:18:13,640
To me, it's got to be some sort of crowdsourcing the planet kind of a thing.
333
00:18:13,640 --> 00:18:18,840
And it's in the release notes now for going around road close situations.
334
00:18:18,840 --> 00:18:23,040
So the fleet is already apparently communicating, hey, if a road's closed, I'm going to tell
335
00:18:23,040 --> 00:18:29,720
the rest of the fleet the road's closed in a ways kind of auto reporting format.
336
00:18:29,720 --> 00:18:34,600
Somehow we've got to get a map layer that is constantly being updated by the fleet with
337
00:18:34,600 --> 00:18:39,720
things that perhaps do take more time to infer than we can do in real time.
338
00:18:39,720 --> 00:18:43,960
So let's say that school zone was up there for the very first time.
339
00:18:43,960 --> 00:18:47,240
Let's say the car blew through the school
zone because it didn't know how to read the
340
00:18:47,240 --> 00:18:48,420
sign yet.
341
00:18:48,420 --> 00:18:52,840
But if it collected the data and then read the sign and inserted that in the layer, at
342
00:18:52,840 --> 00:18:56,800
least the very next car would benefit from that data.
343
00:18:56,800 --> 00:19:02,560
And very quickly, if they could come up with a system of mapping the world with Teslas,
344
00:19:02,560 --> 00:19:07,120
at least in a ways sort of crowdsource data, at least that would be there.
345
00:19:07,120 --> 00:19:09,160
Okay, just a quick chat here.
346
00:19:09,160 --> 00:19:13,360
We do have a road ranger here with his flashing lights.
347
00:19:13,360 --> 00:19:15,000
Just want to show you there was an accident here.
348
00:19:15,000 --> 00:19:19,560
There is no sort of indication that that was an emergency vehicle with the flashing lights.
349
00:19:19,560 --> 00:19:21,760
Didn't see anything there visually showing it.
350
00:19:21,760 --> 00:19:23,240
It did give them room.
351
00:19:23,240 --> 00:19:29,320
It gave them plenty of room to go around without a lane change possibility.
352
00:19:29,320 --> 00:19:33,560
That is also something we're expecting to see more is using audio to detect emergency
353
00:19:33,560 --> 00:19:34,560
vehicles.
354
00:19:34,560 --> 00:19:36,680
So we'll have to keep an eye out for that.
355
00:19:36,680 --> 00:19:40,880
But as we're here on 295, we're in 65-mile-an-hour traffic.
356
00:19:40,880 --> 00:19:44,040
I'm in the standard mode for the purposes of the video.
357
00:19:44,040 --> 00:19:46,520
And it's kind of staying in the right lane.
358
00:19:46,520 --> 00:19:52,920
I need to edit my trip again just so I don't mess it up.
359
00:19:52,920 --> 00:19:53,920
I'm going to change it here in just a second.
360
00:19:53,920 --> 00:19:57,960
I don't want it to jump off on any of these exits here.
361
00:19:57,960 --> 00:19:59,360
But it's staying in the right lane.
362
00:19:59,360 --> 00:20:01,080
It's not jumping out into the middle lane.
363
00:20:01,080 --> 00:20:07,240
It seems to be happy going 69 in a 65, which is perfectly fine for me.
364
00:20:07,240 --> 00:20:09,680
I'm liking the way this is doing it.
365
00:20:09,680 --> 00:20:14,200
All right, I went ahead and modified my route to Memorial Park and it's jumping up on the
366
00:20:14,200 --> 00:20:15,200
highway.
367
00:20:15,200 --> 00:20:16,200
Great.
368
00:20:16,200 --> 00:20:18,760
See how I'm not getting busted by messing with the screen there?
369
00:20:18,760 --> 00:20:25,200
It feels like they added a little bit more time to the attention monitoring, which is
370
00:20:25,200 --> 00:20:26,200
great.
371
00:20:26,200 --> 00:20:28,760
I needed just a little bit more, not for just the screens.
372
00:20:28,760 --> 00:20:33,720
It's just in everyday life, changing a song, selecting a playlist, things that were being
373
00:20:33,720 --> 00:20:35,680
forced to do with a screen.
374
00:20:35,680 --> 00:20:38,880
It was just kind of always hitting me a little bit.
375
00:20:38,880 --> 00:20:42,200
I've done most of my drives recently in the Cybertruck because I spend more time in that
376
00:20:42,200 --> 00:20:44,520
vehicle than this one.
377
00:20:44,520 --> 00:20:48,520
And it's pretty naggy.
378
00:20:48,520 --> 00:20:51,800
And sometimes I end up using the steering wheel to correct it.
379
00:20:51,800 --> 00:20:58,120
So I think the iteration on that attention monitoring had a police vehicle on the other
380
00:20:58,120 --> 00:21:00,280
side that I heard this siren as a human.
381
00:21:00,280 --> 00:21:05,400
I did not hear it as a human until it was right here at about my 10 o'clock position
382
00:21:05,400 --> 00:21:08,800
with the way the windows and sound is obscured.
383
00:21:08,800 --> 00:21:11,720
You can't always hear an approaching vehicle until it's right on you.
384
00:21:11,720 --> 00:21:16,600
It'll be interesting to see if the Tesla has a better hearing system than a human.
385
00:21:16,600 --> 00:21:20,440
Okay, got cars kind of jockeying for position here.
386
00:21:20,440 --> 00:21:23,280
We're taking a right hand turn, 0.3 miles.
387
00:21:23,280 --> 00:21:27,560
It's a two lane exit and it needs to prefer the left lane, hopefully, because we're going
388
00:21:27,560 --> 00:21:31,120
to be joining to the left in a fork.
389
00:21:31,120 --> 00:21:36,720
So I like to kind of watch these kind of advanced navigation decisions where it takes the correct
390
00:21:36,720 --> 00:21:41,600
exit but it's also in the correct lane for an upcoming fork.
391
00:21:41,600 --> 00:21:48,800
You know, John Gibbs, Dr. Know-it-all had a recent video where he talked about some papers
392
00:21:48,800 --> 00:21:54,320
that were released recently that talked about memory.
393
00:21:54,320 --> 00:21:56,640
And John, if you're watching this video, shout out to you.
394
00:21:56,640 --> 00:21:57,760
You did a nice job on that.
395
00:21:57,760 --> 00:22:02,480
It's a very technical subject, but I do think that you hit upon a very important subject
396
00:22:02,480 --> 00:22:09,080
that made me think a little bit about how the localization of these cars needs to have
397
00:22:09,080 --> 00:22:15,400
that memory so that the car isn't a first time driver every time it drives.
398
00:22:15,400 --> 00:22:19,280
And I'm taking those words from Dr. Know-it-all's video.
399
00:22:19,280 --> 00:22:23,880
I agree with your analysis that every time we drive, we have the basic driving skills
400
00:22:23,880 --> 00:22:29,560
from the model, but we don't have the local knowledge of a local driver, the lane you
401
00:22:29,560 --> 00:22:34,440
need to be in, the upcoming fork that could, you know, get you in a bad situation if there's
402
00:22:34,440 --> 00:22:37,360
a traffic cue that doesn't allow you to get in it.
403
00:22:37,360 --> 00:22:42,960
Those are local things that happen that create problems for the planner to have to solve.
404
00:22:42,960 --> 00:22:46,480
You know, so if it knows it's got two lanes and it's going to keep using both of them,
405
00:22:46,480 --> 00:22:49,920
but then there's a long, long cue for people turning to the right.
406
00:22:49,920 --> 00:22:53,680
If you're going all the way to the front and wedging yourself over, while some people may
407
00:22:53,680 --> 00:22:57,760
say that's the way we should be driving, I agree in many parts of the world we do drive
408
00:22:57,760 --> 00:22:59,640
like that.
409
00:22:59,640 --> 00:23:05,480
But in some parts of the world where you have local knowledge, they do set up the cue appropriately
410
00:23:05,480 --> 00:23:10,080
and well, I shouldn't even use the word appropriately because you could debate whether or not that
411
00:23:10,080 --> 00:23:13,000
is the right way to do it.
412
00:23:13,000 --> 00:23:18,240
But it does create some odd situations where the car needs to kind of blend in a little
413
00:23:18,240 --> 00:23:21,280
bit more as a human of a local area.
414
00:23:21,280 --> 00:23:25,600
And maybe the cueing and the merging isn't the best example because that obviously has
415
00:23:25,600 --> 00:23:29,480
a very good argument that we should be using both lanes and then zipper merging at the very
416
00:23:29,480 --> 00:23:30,480
end.
417
00:23:30,480 --> 00:23:37,280
But you know, other situations where like let's use that example of that fork back there,
418
00:23:37,280 --> 00:23:41,600
it needed to be in the left lane and it was so that it was in the left lane for the fork
419
00:23:41,600 --> 00:23:43,640
that was that was upcoming.
420
00:23:43,640 --> 00:23:48,840
And then because it was in the correct lane, it did not have to perhaps stop traffic to
421
00:23:48,840 --> 00:23:49,840
get over.
422
00:23:49,840 --> 00:23:54,960
It did not have to slow down unnecessarily to get over that could have caused a rear-ending
423
00:23:54,960 --> 00:23:58,480
type of accident or something similar to that.
424
00:23:58,480 --> 00:24:03,640
Using the appropriate speed on off-ramps and highways is pretty important to blend into
425
00:24:03,640 --> 00:24:08,920
the flow of traffic so that other people that might not have the same attention don't run
426
00:24:08,920 --> 00:24:10,360
into you from behind.
427
00:24:10,360 --> 00:24:12,400
Hopefully, that made sense.
428
00:24:12,400 --> 00:24:14,480
And that's kind of this permanence.
429
00:24:14,480 --> 00:24:20,560
But John did a good job talking about the underlying technology that this paper was documenting
430
00:24:20,560 --> 00:24:27,880
is how does a model learn in real time of things that it needs to remember?
431
00:24:27,880 --> 00:24:33,000
And the ultimate trick that they were documenting was surprise.
432
00:24:33,000 --> 00:24:38,320
If the model finds itself in a situation that completely surprised what it expected, it
433
00:24:38,320 --> 00:24:41,840
can take that away and say, we need to remember that.
434
00:24:41,840 -->
00:24:45,880
You know, if something just didn't work and all of a sudden it's surprised and has to
435
00:24:45,880 --> 00:24:50,220
solve a problem, maybe that would be a where an intervention might happen from a driver.
436
00:24:50,220 --> 00:24:54,360
Maybe that would be a disengagement that, you know, was a safety critical disengagement.
437
00:24:54,360 --> 00:24:59,440
Or maybe that was just something where the model itself found itself in a situation that
438
00:24:59,440 --> 00:25:04,400
was not what it expected and it had to deviate its plan.
439
00:25:04,400 --> 00:25:07,040
Maybe the planner had to re-root because of something.
440
00:25:07,040 --> 00:25:09,400
Maybe this is how the closed roads are going to work.
441
00:25:09,400 --> 00:25:13,640
You know, if I'm going up to a road and I plan on going straight, but there's a big sign
442
00:25:13,640 --> 00:25:18,000
that won't let the vision system go through it and then the map has to wrap around it,
443
00:25:18,000 --> 00:25:22,680
you could argue that the model was surprised at the fact that it didn't work.
444
00:25:22,680 --> 00:25:27,600
Maybe take that little token away, token might not be the right word, that event away and
445
00:25:27,600 --> 00:25:32,760
somehow put it in a layer that is persistent.
446
00:25:32,760 --> 00:25:39,560
And that persistent layer needs to be either localized or distributed and relocalized.
447
00:25:39,560 --> 00:25:43,800
So it, you know, either needs to go to the fleet so it's always available or creating
448
00:25:43,800 --> 00:25:45,560
a dynamic layer.
449
00:25:45,560 --> 00:25:48,720
And I say dynamic because that road won't always be closed.
450
00:25:48,720 --> 00:25:53,400
You know, we need to continue to evaluate whether or not that road opens back up and
451
00:25:53,400 --> 00:25:59,200
that could be time of day, that could be after the job is done, many different things.
452
00:25:59,200 --> 00:26:04,280
Somehow we have to create a dynamic model and the car needs to do most of the work, not
453
00:26:04,280 --> 00:26:05,640
a supervisor, right?
454
00:26:05,640 --> 00:26:09,720
We can't have the robotaxi, you know, have a passenger button, you know, hitting, you
455
00:26:09,720 --> 00:26:12,080
know, voice notes and saying, why didn't that work?
456
00:26:12,080 --> 00:26:16,920
The car has to create some sort of model or we're going to have to go another way with
457
00:26:16,920 --> 00:26:19,560
high definition maps like Waymo is doing.
458
00:26:19,560 --> 00:26:23,800
And those high definition maps are going to have to be done by employees and people
459
00:26:23,800 --> 00:26:27,920
or auto labelers or teens and reviewers, something like that.
460
00:26:27,920 --> 00:26:31,400
And I just don't see that as scalable for the whole system.
461
00:26:31,400 --> 00:26:36,000
It might have to be part of a forever system, meaning there might always have to be someone
462
00:26:36,000 --> 00:26:41,840
working on maps, but the car needs to be what's queuing the data.
463
00:26:41,840 --> 00:26:45,760
And I think, you know, I go in long drives and let's use Waze as another example.
464
00:26:45,760 --> 00:26:51,760
You know, you might not add data to the Waze networks every single time that you see something,
465
00:26:51,760 --> 00:26:53,160
but you might add one or two.
466
00:26:53,160 --> 00:26:55,520
You might add that, yes, the police is still there.
467
00:26:55,520 --> 00:26:57,240
You hit the thumbs up one time.
468
00:26:57,240 --> 00:27:01,040
But if there's a car pulled over to the side of the road, are you adding every single one
469
00:27:01,040 --> 00:27:02,040
of those?
470
00:27:02,040 --> 00:27:03,440
Well, maybe you're not.
471
00:27:03,440 --> 00:27:06,680
Maybe you're a thumbs up person that acknowledges that it's still there.
472
00:27:06,680 --> 00:27:10,600
But someone had to enter that data for the first time to say, hey, there's a hazard on
473
00:27:10,600 --> 00:27:11,600
the road ahead.
474
00:27:11,600 --> 00:27:15,360
There's a piece of tire rubber, for example, in the middle lane, or there's a broken down
475
00:27:15,360 --> 00:27:17,280
car on the right side of the road.
476
00:27:17,280 --> 00:27:20,320
Somebody has to input that data in the Waze.
477
00:27:20,320 --> 00:27:25,560
The car should be able to get to the point that it can aggregate that data and get smarter
478
00:27:25,560 --> 00:27:26,560
over time.
479
00:27:26,560 --> 00:27:30,920
You know, the first time a Tesla drives by a stopped car on the road, it might not know
480
00:27:30,920 --> 00:27:32,400
exactly what it is.
481
00:27:32,400 --> 00:27:34,040
It just knows there's a hazard.
482
00:27:34,040 --> 00:27:39,760
But as soon as two cars, three cars, 10 cars, 20 cars drives by that incident, it might
483
00:27:39,760 --> 00:27:44,160
have enough context to understand what it is and appropriately label it for the rest
484
00:27:44,160 --> 00:27:46,880
of the vehicle fleet to understand.
485
00:27:46,880 --> 00:27:51,920
I think that is a critical capability that's going to help the planner get better over
486
00:27:51,920 --> 00:27:59,480
time to help the car see the unseen and be superhuman in a way that it knows about hazards
487
00:27:59,480 --> 00:28:06,040
and things up ahead before a human ever could know without using a tool like Waze, like
488
00:28:06,040 --> 00:28:10,200
many of us have become accustomed to, to using that crowdsource data.
489
00:28:10,200 --> 00:28:11,200
All right.
490
00:28:11,200 --> 00:28:14,000
That was a nice little chat on the highway mode.
491
00:28:14,000 --> 00:28:16,200
Hopefully that made some sense.
492
00:28:16,200 --> 00:28:17,440
I'd love some comments.
493
00:28:17,440 --> 00:28:23,360
And John, if you do see this, let me know if I characterized you correctly in what you
494
00:28:23,360 --> 00:28:24,560
were saying at a high level.
495
00:28:24,560 --> 00:28:27,000
Now, I do want to say, pull over here to the right.
496
00:28:27,000 --> 00:28:28,000
Look at this.
497
00:28:28,000 --> 00:28:33,120
It almost got over there, saw this broken down road, gave it room without changing lanes.
498
00:28:33,120 --> 00:28:37,720
That was a dynamic situation that it probably should have even been over in that middle
499
00:28:37,720 --> 00:28:38,720
lane.
500
00:28:38,720 --> 00:28:42,560
I saw that way ahead of time, but it got in the right lane to take this exit.
501
00:28:42,560 --> 00:28:48,640
So its early lane change put it in a situation of having to do a weave around a stopped vehicle
502
00:28:48,640 --> 00:28:49,800
on the highway.
503
00:28:49,800 --> 00:28:54,600
It did it safely, but that was a scenario where a full lane change might have been appropriate.
504
00:28:54,600 --> 00:28:57,600
And it didn't do one, even though there was no one on its quarter panel.
505
00:28:57,600 --> 00:29:01,840
It just hugged that white line to give it room.
506
00:29:01,840 --> 00:29:05,320
It was obscured by that van in the front for a second.
507
00:29:05,320 --> 00:29:07,840
And you might want to go back and replay that clip and watch it.
508
00:29:07,840 --> 00:29:10,920
There was a lot of data that just happened there.
509
00:29:10,920 --> 00:29:15,320
The car did it perfectly safe, but there's probably a little bit of room for improvement
510
00:29:15,320 --> 00:29:19,000
on how it could have perhaps gotten into the middle lane.
511
00:29:19,000 --> 00:29:21,960
But it had two or three factors playing into it.
512
00:29:21,960 --> 00:29:25,240
It even felt like it was going to take that exit to cross the bridge for a second.
513
00:29:25,240 --> 00:29:29,100
If you look at that video clip very carefully, it actually corrected back.
514
00:29:29,100 --> 00:29:34,440
But I think it was that van in front that it was kind of following as a lead car.
515
00:29:34,440 --> 00:29:36,080
And then it realized, no, I'm going straight.
516
00:29:36,080 --> 00:29:37,080
He's turning right.
517
00:29:37,080 --> 00:29:38,520
Oh, and now we have a car to go around.
518
00:29:38,520 --> 00:29:43,920
I've given you a clap there, Tesla, so I give you some credit for some really good maneuvers.
519
00:29:43,920 --> 00:29:48,000
But there also might be a lot of data there for you to look at to see if you'd like to
520
00:29:48,000 --> 00:29:50,360
do it exactly that way in the future.
521
00:29:50,360 --> 00:29:53,000
All right, we're done with highway mode.
522
00:29:53,000 --> 00:29:57,200
And now we're going over to Memorial Park with some perhaps slower traffic.
523
00:29:57,200 --> 00:30:02,240
We are using the speed modes here down below, you know, 50 miles an hour.
524
00:30:02,240 --> 00:30:03,960
Let me comment on that a little bit.
525
00:30:03,960 --> 00:30:07,080
Those of you on Hardware 3, God bless you for being as patient as you have.
526
00:30:07,080 --> 00:30:10,080
But now you're going to start to see 12, 6, 2 roll out.
527
00:30:10,080 --> 00:30:14,160
And if you're watching these videos to kind of see how it's evolving, you are going to
528
00:30:14,160 --> 00:30:18,560
notice some differences on Hardware 3 with speed profiles.
529
00:30:18,560 --> 00:30:23,360
When speed profiles came out for the very first time, even on Hardware 4, we only had
530
00:30:23,360 --> 00:30:24,880
them on the highway.
531
00:30:24,880 --> 00:30:29,520
And then the next version came out and we had them on city streets above 50 miles an
532
00:30:29,520 --> 00:30:30,520
hour.
533
00:30:30,520 --> 00:30:33,640
And then the next version came out and we had them below 50 miles an hour.
534
00:30:33,640 --> 00:30:38,520
It looks like on Hardware 3, you're still at that above 50 mile an hour city street
535
00:30:38,520 --> 00:30:40,160
speed profile mode.
536
00:30:40,160 --> 00:30:41,680
So take that into consideration.
537
00:30:41,680 --> 00:30:43,080
That's your limitation at the moment.
538
00:30:43,080 --> 00:30:46,680
So those highways that have 50 mile an hour speed limits, you'll see the speed profiles
539
00:30:46,680 --> 00:30:47,680
show up.
540
00:30:47,680 --> 00:30:50,600
But if it bumps down to 45, you're going to lose it.
541
00:30:50,600 --> 00:30:54,880
And it's going to revert to that auto max mode that we had before.
542
00:30:54,880 --> 00:30:58,440
I'm not exactly sure why Tesla implemented it this way.
543
00:30:58,440 --> 00:31:03,280
It obviously must have something to do with the model size.
544
00:31:03,280 --> 00:31:10,400
And squeezing everything into the Hardware 3 model so that it gets the same level of
545
00:31:10,400 --> 00:31:11,400
performance.
546
00:31:11,400 --> 00:31:13,280
And that's all I can say at this point.
547
00:31:13,280 --> 00:31:16,080
I don't think it's because they can't make it work in city streets.
548
00:31:16,080 --> 00:31:20,560
I think it's probably just how they're distilling this model down to get the most bang for the
549
00:31:20,560 --> 00:31:24,280
buck in performance out of the vehicle.
550
00:31:24,280 --> 00:31:26,240
Really good lane changes here.
551
00:31:26,240 --> 00:31:29,800
Smooth as it could be.
552
00:31:29,800 --> 00:31:32,160
No problems on this.
553
00:31:32,160 --> 00:31:33,160
Very low traffic too.
554
00:31:33,160 --> 00:31:37,160
So it's kind of doing us all without much to work around.
555
00:31:37,160 --> 00:31:45,440
We're going to be coming up a memorial park and where I get the parking scenario and hopefully
556
00:31:45,440 --> 00:31:51,040
we'll be able to give another test to a back end parking scenario with that thin chain that
557
00:31:51,040 --> 00:31:54,280
has been giving us problem over time.
558
00:31:54,280 --> 00:31:57,320
I haven't noticed any pre rolling here.
559
00:31:57,320 --> 00:32:00,440
I just noticed the walk signs were doing the countdown.
560
00:32:00,440 --> 00:32:05,680
Those countdowns can kind of give you the precursor to the light turning green.
561
00:32:05,680 --> 00:32:09,960
I can't see the opposing lights to
see it.
562
00:32:09,960 --> 00:32:13,680
There is what green one's showing right there.
563
00:32:13,680 --> 00:32:19,760
That little green showing turning red is what some people have speculated the car is actually
564
00:32:19,760 --> 00:32:21,280
acting on.
565
00:32:21,280 --> 00:32:22,560
Expecting the light to turn green.
566
00:32:22,560 --> 00:32:25,440
But I didn't get any pre roll at all there.
567
00:32:25,440 --> 00:32:28,680
That was very smooth.
568
00:32:28,680 --> 00:32:29,680
And on time.
569
00:32:29,680 --> 00:32:34,120
I feel the acceleration curves on the Model Y are much better than the Cybertruck.
570
00:32:34,120 --> 00:32:37,920
I'm really looking forward to the first impressions driving the Cybertruck.
571
00:32:37,920 --> 00:32:41,920
Because my complaint on the Cybertruck has been the sluggishness.
572
00:32:41,920 --> 00:32:45,520
Has been the acceleration curves when it commits.
573
00:32:45,520 --> 00:32:46,520
It's just too slow.
574
00:32:46,520 --> 00:32:49,400
And it's creating rear end scenarios.
575
00:32:49,400 --> 00:32:50,400
That's the confidence.
576
00:32:50,400 --> 00:32:54,080
We've got to do a kind of a cross the traffic here.
577
00:32:54,080 --> 00:32:55,160
Low speed.
578
00:32:55,160 --> 00:32:57,560
No problem doing this because of the speeds.
579
00:32:57,560 --> 00:32:59,040
There's a tiny little gap here.
580
00:32:59,040 --> 00:33:01,040
Is it going to force itself or is it going to wait?
581
00:33:01,040 --> 00:33:02,480
Oh, it's going to go.
582
00:33:02,480 --> 00:33:03,680
Okay, wow.
583
00:33:03,680 --> 00:33:04,680
Very good.
584
00:33:04,680 --> 00:33:06,800
It did it just fine.
585
00:33:06,800 --> 00:33:11,480
These slow speeds you can make decisions at that kind of rate.
586
00:33:11,480 --> 00:33:13,760
And obviously you're forcing yourself out there.
587
00:33:13,760 --> 00:33:15,400
You might make them slow down a little bit.
588
00:33:15,400 --> 00:33:18,040
But that's fine at 25 miles an hour.
589
00:33:18,040 --> 00:33:20,400
I could do that all day long.
590
00:33:20,400 --> 00:33:22,920
Okay, we do have our POI coming up.
591
00:33:22,920 --> 00:33:24,360
So it probably is going to end drive.
592
00:33:24,360 --> 00:33:26,760
And we got a great scenario here.
593
00:33:26,760 --> 00:33:28,280
These parking spots are blocked off.
594
00:33:28,280 --> 00:33:29,280
You can see them again.
595
00:33:29,280 --> 00:33:30,280
See that thin chain.
596
00:33:30,280 --> 00:33:31,280
That's what I'm talking about.
597
00:33:31,280 --> 00:33:33,280
That Tesla hasn't been able to see.
598
00:33:33,280 --> 00:33:36,520
I see if it ends its spot here.
599
00:33:36,520 --> 00:33:39,280
I'm going to see if it puts itself in a park.
600
00:33:39,280 --> 00:33:40,560
Okay.
601
00:33:40,560 --> 00:33:42,000
And it did put itself in a park.
602
00:33:42,000 --> 00:33:43,000
Okay, good.
603
00:33:43,000 --> 00:33:49,960
So I want to see, okay, if I put it itself in the drive, there's the parking
spot.
604
00:33:49,960 --> 00:33:54,200
I'm going to hit P. Oh, interesting.
605
00:33:54,200 --> 00:33:56,320
Okay, there it is.
606
00:33:56,320 --> 00:33:59,640
The car, auto park is ready.
607
00:33:59,640 --> 00:34:00,640
It cannot do this.
608
00:34:00,640 --> 00:34:05,680
I'm just showing you that the Tesla cannot see this thin chain yet.
609
00:34:05,680 --> 00:34:12,680
I'm just kind of, I mean, I'd love for it to stop itself, but okay.
610
00:34:12,680 --> 00:34:13,680
It was committing.
611
00:34:13,680 --> 00:34:15,720
So you see, it can't see these thin chains.
612
00:34:15,720 --> 00:34:17,640
It would have damaged the car there.
613
00:34:17,640 --> 00:34:19,320
It was going into that spot.
614
00:34:19,320 --> 00:34:27,760
This stack, I will say, I don't think is in the same stack as this one here.
615
00:34:27,760 --> 00:34:31,480
So like, I'm going to go ahead and continue our drive by pressing and holding.
616
00:34:31,480 --> 00:34:35,080
This stack here, I feel is smarter than the parking stack.
617
00:34:35,080 --> 00:34:39,520
I think when you go into that parking mode, it's kind of changing its brain.
618
00:34:39,520 --> 00:34:44,240
It's got its own, it might even be written in C. I don't know.
619
00:34:44,240 --> 00:34:49,560
But it isn't the same brain as this full self driving stack.
620
00:34:49,560 --> 00:34:50,560
Correct me if I'm wrong.
621
00:34:50,560 --> 00:34:55,600
If anybody knows for sure, I know it's end to end, but it's at least shifting programs
622
00:34:55,600 --> 00:34:58,160
when it goes into that mode.
623
00:34:58,160 --> 00:35:01,800
And you can tell when it does pull over to park, you know, at the end of a drive in situations
624
00:35:01,800 --> 00:35:05,720
like that, it does it differently than when you're in the parking mode.
625
00:35:05,720 --> 00:35:08,280
Okay, enough on that.
626
00:35:08,280 --> 00:35:10,800
Now it did pick, I might do a disengage.
627
00:35:10,800 --> 00:35:12,440
I don't want it to go that way.
628
00:35:12,440 --> 00:35:13,440
But you know what?
629
00:35:13,440 --> 00:35:18,600
It's going to go down this alley instead of going up to my favorite oak tree sign.
630
00:35:18,600 --> 00:35:19,600
Look at this.
631
00:35:19,600 --> 00:35:23,040
This is the route it chose to go where we're going.
632
00:35:23,040 --> 00:35:25,640
But look, it kind of chose an alley.
633
00:35:25,640 --> 00:35:28,000
And now it's navigating down the alley.
634
00:35:28,000 --> 00:35:32,160
If another car came, we'd have to kind of fight each other for space.
635
00:35:32,160 --> 00:35:33,240
Huge bumps in the road.
636
00:35:33,240 --> 00:35:35,800
It's going eight miles an hour.
637
00:35:35,800 --> 00:35:38,920
It's just, this isn't what the planner should have chosen.
638
00:35:38,920 --> 00:35:44,880
You should have stayed out on the streets, but somehow this is what it chose.
639
00:35:44,880 --> 00:35:46,400
It's got to go around a blind curve here.
640
00:35:46,400 --> 00:35:47,560
It's got a good speed.
641
00:35:47,560 --> 00:35:48,840
There's a car parked there.
642
00:35:48,840 --> 00:35:51,480
There's no problems because there's no one coming traffic.
643
00:35:51,480 --> 00:35:53,960
And I have seen some great clips coming out of California.
644
00:35:53,960 --> 00:35:56,640
AI driver, little truck bumper here.
645
00:35:56,640 --> 00:35:58,880
It slowed down for that.
646
00:35:58,880 --> 00:36:00,360
It did it just fine.
647
00:36:00,360 --> 00:36:04,440
It just should have stayed on the streets.
648
00:36:04,440 --> 00:36:09,240
AI driver and edge case forward one.
649
00:36:09,240 --> 00:36:15,120
A few folks have made some really good clips of the vehicle kind of dodging traffic, making
650
00:36:15,120 --> 00:36:19,480
the room three point turning to get itself out of bad situations and stuff like that.
651
00:36:19,480 --> 00:36:22,440
So the car can do it.
652
00:36:22,440 --> 00:36:23,600
And we'll just kind of have to see.
653
00:36:23,600 --> 00:36:28,120
Now, I do have my cul-de-sac as my next point up here, which is where it's going.
654
00:36:28,120 --> 00:36:32,600
And I leave that cul-de-sac in there for the three point turn scenario.
655
00:36:32,600 --> 00:36:36,840
If I can actually create a radius of turn that requires it to do a three point.
656
00:36:36,840 --> 00:36:39,120
If it's smart enough, it'll give itself a wide turn.
657
00:36:39,120 --> 00:36:40,120
But okay, nice.
658
00:36:40,120 --> 00:36:41,120
Okay, nice.
659
00:36:41,120 --> 00:36:42,120
Wow.
660
00:36:42,120 --> 00:36:44,680
Nice, slow, smooth commit.
661
00:36:44,680 --> 00:36:45,680
Okay.
662
00:36:45,680 --> 00:36:48,080
Now it's in the wrong lane.
663
00:36:48,080 --> 00:36:49,800
See how it's using this gourd section here?
664
00:36:49,800 --> 00:36:54,120
I marked that with the report button just to give them the data without disengaging.
665
00:36:54,120 --> 00:36:59,280
It was treating that gourd section as like a suicide lane when it should have gone, it
666
00:36:59,280 --> 00:37:01,320
shouldn't have driven through the hash yellow spots.
667
00:37:01,320 --> 00:37:05,360
I don't think that it did that intentionally.
668
00:37:05,360 --> 00:37:08,560
It just, it treated as if it was a regular lane.
669
00:37:08,560 --> 00:37:09,560
Okay.
670
00:37:09,560 --> 00:37:12,160
Let me edit the trip here.
671
00:37:12,160 --> 00:37:20,120
And I'm editing the trip at the last second to hopefully create a three point turn scenario
672
00:37:20,120 --> 00:37:21,960
that it has to back up.
673
00:37:21,960 --> 00:37:23,840
All right.
674
00:37:23,840 --> 00:37:25,760
I'm hitting done.
675
00:37:25,760 --> 00:37:29,960
I think it's got enough radius of turn here.
676
00:37:29,960 --> 00:37:33,400
Is it going to stop?
677
00:37:33,400 --> 00:37:35,960
It's not going to stop.
678
00:37:35,960 --> 00:37:38,280
No, it did it.
679
00:37:38,280 --> 00:37:42,000
I know it can do a three point turn and the fact the speed
profile isn't shown up here
680
00:37:42,000 --> 00:37:46,080
means that it probably would have done just fine.
681
00:37:46,080 --> 00:37:48,040
But it can do a three point turn.
682
00:37:48,040 --> 00:37:51,400
I just didn't force this scenario and I don't want to go ahead and stop the car to create
683
00:37:51,400 --> 00:37:52,400
it.
684
00:37:52,400 --> 00:37:54,080
I know it can do it, but that's what that turns about.
685
00:37:54,080 --> 00:37:58,600
Doing a U turn, figuring out the radius, continuing if it can.
686
00:37:58,600 --> 00:37:59,600
And it did it just fine.
687
00:37:59,600 --> 00:38:01,920
Our next one is one we've got.
688
00:38:01,920 --> 00:38:04,720
See up here at five points where I'm going.
689
00:38:04,720 --> 00:38:10,880
This is where I've gotten it into trouble before because the planner, this one I am
690
00:38:10,880 --> 00:38:13,840
forcing it into a bad situation.
691
00:38:13,840 --> 00:38:17,440
It treats that little circle up there like a traffic circle.
692
00:38:17,440 --> 00:38:19,720
You see what I got up here, but it's not really a traffic circle.
693
00:38:19,720 --> 00:38:24,160
There's a little flashing yellow light in the middle of the road.
694
00:38:24,160 --> 00:38:25,800
So I'm being unfair to the ego.
695
00:38:25,800 --> 00:38:26,800
Sorry, ego.
696
00:38:26,800 --> 00:38:28,280
I'm just going to apologize to you now.
697
00:38:28,280 --> 00:38:33,200
I'm going to change the route late so that you have to figure it out after you've probably
698
00:38:33,200 --> 00:38:36,240
already committed to the right.
699
00:38:36,240 --> 00:38:37,800
And that's what I'm going to do here.
700
00:38:37,800 --> 00:38:42,040
If you come up here, you got one more stop sign to go.
701
00:38:42,040 --> 00:38:44,560
All right, here we go.
702
00:38:44,560 --> 00:38:46,520
And doesn't have a blinker on.
703
00:38:46,520 --> 00:38:47,520
What is it doing?
704
00:38:47,520 --> 00:38:51,120
Is it going to say that I'm going to go ahead and hit done?
705
00:38:51,120 --> 00:38:52,120
Interesting.
706
00:38:52,120 --> 00:38:53,120
It, okay.
707
00:38:53,120 --> 00:38:54,120
It went straight.
708
00:38:54,120 --> 00:39:01,160
And now it's got to reroute, see what it did?
709
00:39:01,160 --> 00:39:06,240
It rerouted in a way that it didn't try to follow the planner that time.
710
00:39:06,240 --> 00:39:09,320
I don't know if you guys added data to that or not, but the planner definitely had it
711
00:39:09,320 --> 00:39:12,320
going around to the right to get to the spot.
712
00:39:12,320 --> 00:39:17,960
Instead, it proceeded straight, very smoothly.
713
00:39:17,960 --> 00:39:20,920
And then, okay.
714
00:39:20,920 --> 00:39:21,920
Nice job, Tesla.
715
00:39:21,920 --> 00:39:30,440
I don't know if you added data to that specifically or if it's just saw it differently that time.
716
00:39:30,440 --> 00:39:31,800
That is a horrible intersection.
717
00:39:31,800 --> 00:39:35,640
It's not even really fair to try to trick it with a map.
718
00:39:35,640 --> 00:39:40,040
If I just had it try to go through the intersection, it would do it just fine.
719
00:39:40,040 --> 00:39:41,800
Okay.
720
00:39:41,800 --> 00:39:47,160
So it's doing a left turn on the College Street, which is an interesting choice.
721
00:39:47,160 --> 00:39:48,160
Let me think.
722
00:39:48,160 --> 00:39:52,680
It's going to go straight road all the way down and it's going to jump out on Roosevelt
723
00:39:52,680 --> 00:39:53,680
there.
724
00:39:53,680 --> 00:39:58,800
Yeah, let's see how this does.
725
00:39:58,800 --> 00:40:03,440
This is a route we haven't ever driven before, so there may be something unexpected that
726
00:40:03,440 --> 00:40:05,440
we can talk about.
727
00:40:05,440 --> 00:40:07,440
All right.
728
00:40:07,440 --> 00:40:10,760
So I don't know if I'm going to have time to drive the Cybertruck today.
729
00:40:10,760 --> 00:40:14,960
And if I do drive it, I probably am not going to have time to edit both of these videos.
730
00:40:14,960 --> 00:40:19,040
I don't know if you guys realize how many streams of videos that are in here.
731
00:40:19,040 --> 00:40:22,040
If I got them all to render, I've got the screen video.
732
00:40:22,040 --> 00:40:25,720
I've got the canvas that I have to render as a video and record it.
733
00:40:25,720 --> 00:40:31,600
I've got the camera on top that's a 360 that I have to manage an Insta360 before I render
734
00:40:31,600 --> 00:40:32,600
it into Venti.
735
00:40:32,600 --> 00:40:38,480
I've got the internal camera that's got its own audio stream.
736
00:40:38,480 --> 00:40:39,480
It's kind of a lot.
737
00:40:39,480 --> 00:40:43,000
And then occasionally I throw the drone in there and then the drone's got to be synchronized
738
00:40:43,000 --> 00:40:44,000
in layer on top of it.
739
00:40:44,000 --> 00:40:48,280
So it takes me quite a bit of time to get these out to you guys.
740
00:40:48,280 --> 00:40:54,800
And I hopefully understand that render times on a one hour long video can kind of tax a
741
00:40:54,800 --> 00:40:56,440
computer for sure.
742
00:40:56,440 --> 00:40:57,440
Okay.
743
00:40:57,440 --> 00:40:58,440
So here we're on college.
744
00:40:58,440 --> 00:41:01,280
We have a tree company over here.
745
00:41:01,280 --> 00:41:02,440
It rendered all of it fine.
746
00:41:02,440 --> 00:41:05,920
It put occupancy network items right where the cones were.
747
00:41:05,920 --> 00:41:07,280
Parks traffic over on the right.
748
00:41:07,280 --> 00:41:08,520
It's kind of weaving around.
749
00:41:08,520 --> 00:41:10,560
There's definitely no lane markings on this road.
750
00:41:10,560 --> 00:41:12,160
So it doesn't have a center line.
751
00:41:12,160 --> 00:41:15,200
It's just kind of finding its bias over to the right.
752
00:41:15,200 --> 00:41:18,200
I have no problem with what it's doing here.
753
00:41:18,200 --> 00:41:21,400
This is a great, great scenario.
754
00:41:21,400 --> 00:41:25,400
Coming up from the right
has a stop or proceeding.
755
00:41:25,400 --> 00:41:27,360
Yeah.
756
00:41:27,360 --> 00:41:28,360
This is good.
757
00:41:28,360 --> 00:41:31,440
You know, it's not overly hugging close to these cars.
758
00:41:31,440 --> 00:41:33,480
It's doing a nice smooth.
759
00:41:33,480 --> 00:41:38,000
This has all been standard since we went in the end.
760
00:41:38,000 --> 00:41:42,280
The behavior around other vehicles has just been very smooth and magical.
761
00:41:42,280 --> 00:41:43,280
Okay.
762
00:41:43,280 --> 00:41:46,840
We got a car backing out up front and now he sees us, but he is he going to exert it
763
00:41:46,840 --> 00:41:47,840
or is he going to wait?
764
00:41:47,840 --> 00:41:49,320
Now the car is slowing down.
765
00:41:49,320 --> 00:41:50,320
Okay.
766
00:41:50,320 --> 00:41:51,320
See that?
767
00:41:51,320 --> 00:41:53,040
That was a really good behavior.
768
00:41:53,040 --> 00:41:58,480
The car saw him sticking out, slowed down, but not stopped, allowed his vector to continue
769
00:41:58,480 --> 00:42:00,560
and he went around and through it.
770
00:42:00,560 --> 00:42:01,560
Nice job.
771
00:42:01,560 --> 00:42:03,720
So that was a really good clip too.
772
00:42:03,720 --> 00:42:04,720
Very human like.
773
00:42:04,720 --> 00:42:05,720
Okay.
774
00:42:05,720 --> 00:42:10,640
Now workers here, they got a dump trailer, they're working around moving it, plenty of
775
00:42:10,640 --> 00:42:16,280
room, even use the blinker there for a smidge to go widely around them.
776
00:42:16,280 --> 00:42:21,440
Plenty of room, nice speed, nothing scary there.
777
00:42:21,440 --> 00:42:25,440
Might have to remember this college street road here.
778
00:42:25,440 --> 00:42:26,440
Okay.
779
00:42:26,440 --> 00:42:27,440
We get a little bit of a pinch point here.
780
00:42:27,440 --> 00:42:28,440
You see this?
781
00:42:28,440 --> 00:42:30,520
That vehicle is having to use the parking spaces.
782
00:42:30,520 --> 00:42:32,600
I had to go around those cars.
783
00:42:32,600 --> 00:42:36,920
So if there were cars in every one of these parking spaces, I wouldn't be able to hog
784
00:42:36,920 --> 00:42:38,640
the center of the road here.
785
00:42:38,640 --> 00:42:44,080
But if you notice, the map has put a white line where those parking spaces are as if
786
00:42:44,080 --> 00:42:45,600
it was the road boundary.
787
00:42:45,600 --> 00:42:50,720
Yet, I wonder if it would have encroached inside of that boundary had it needed to give
788
00:42:50,720 --> 00:42:51,920
another car room.
789
00:42:51,920 --> 00:42:53,520
I don't know.
790
00:42:53,520 --> 00:42:55,280
Okay.
791
00:42:55,280 --> 00:42:58,400
So now we're coming up at the end of college and we're going to jump on.
792
00:42:58,400 --> 00:43:02,840
Now I'm going to show you, I was wondering how this was going to play out.
793
00:43:02,840 --> 00:43:08,320
And we've given ourselves an interesting scenario jumping onto Roosevelt here.
794
00:43:08,320 --> 00:43:11,480
And it's at this intersection where it's got to do a left turn, then it's going to merge
795
00:43:11,480 --> 00:43:12,720
into traffic.
796
00:43:12,720 --> 00:43:17,920
The reason is that merge, depending on the light, has some very high speed traffic that
797
00:43:17,920 --> 00:43:19,640
it's going to have to merge with.
798
00:43:19,640 --> 00:43:24,040
And I want to see the right acceleration into that high speed traffic if it doesn't end
799
00:43:24,040 --> 00:43:25,960
up rerouting up here.
800
00:43:25,960 --> 00:43:30,600
It's a pretty good accidental scenario that popped up.
801
00:43:30,600 --> 00:43:32,760
I don't know.
802
00:43:32,760 --> 00:43:36,480
To me, this car feels the same as 2013-22.
803
00:43:36,480 --> 00:43:41,160
I do think the attention monitoring has been tweaked a little bit.
804
00:43:41,160 --> 00:43:46,800
It's just so hard when the car drives flawlessly to critique it.
805
00:43:46,800 --> 00:43:50,280
Because it's doing it safely in the traffic scenarios it's getting.
806
00:43:50,280 --> 00:43:55,400
I mean, obviously we can complain about the parking, not working with the chain and stuff
807
00:43:55,400 --> 00:43:56,400
like that.
808
00:43:56,400 --> 00:43:57,400
That's auto park, right?
809
00:43:57,400 --> 00:44:03,280
And you could even argue that the parking destination is still an unsupported feature.
810
00:44:03,280 --> 00:44:05,360
And I forced it into that park mode.
811
00:44:05,360 --> 00:44:07,640
I selected the P and said park.
812
00:44:07,640 --> 00:44:10,920
I did have some of the decision making there, right?
813
00:44:10,920 --> 00:44:15,600
Maybe that's on me for saying, yeah, you told it to park across the chain and it was going
814
00:44:15,600 --> 00:44:18,200
to do it.
815
00:44:18,200 --> 00:44:23,680
So this intersection, I don't know if you're able to see this in all the cameras.
816
00:44:23,680 --> 00:44:26,520
It is crazy time with lights.
817
00:44:26,520 --> 00:44:32,160
And every light's pointing one direction or another and is relevant to the ego or not.
818
00:44:32,160 --> 00:44:36,280
You can see this highway to the left is crossing up here to the right at an angle.
819
00:44:36,280 --> 00:44:39,480
I'm going straight, but see if we're rendering it up here.
820
00:44:39,480 --> 00:44:42,640
But up straight there's even another cross where those vehicles up there are crossing
821
00:44:42,640 --> 00:44:45,520
and that's got another light.
822
00:44:45,520 --> 00:44:49,800
And these lights, and these aren't even being represented right because see the closest lights
823
00:44:49,800 --> 00:44:51,960
are for me in this rendering.
824
00:44:51,960 --> 00:44:58,160
The second two lights that I can see a glimmer of red is for that angled road to the left.
825
00:44:58,160 --> 00:45:03,120
Now I think what's going to happen here is I'm going to get the green.
826
00:45:03,120 --> 00:45:07,320
It's going to proceed and it's going to have to realize it's running through those reds
827
00:45:07,320 --> 00:45:09,720
that it's mapping.
828
00:45:09,720 --> 00:45:13,120
You got a slight angle on that one render that just showed up.
829
00:45:13,120 --> 00:45:14,960
If you go right there, you see it?
830
00:45:14,960 --> 00:45:18,400
It's rendering one of them at an angle now and now it's flipping back and forth.
831
00:45:18,400 --> 00:45:23,480
So there you can see the model trying to show these lights at the right angle.
832
00:45:23,480 --> 00:45:24,480
There's our green light.
833
00:45:24,480 --> 00:45:27,520
You see those reds are still rendered, but it's doing it just fine.
834
00:45:27,520 --> 00:45:33,640
So it's kind of complex and you have to give the model credit for acting appropriately
835
00:45:33,640 --> 00:45:37,040
with all of this indications.
836
00:45:37,040 --> 00:45:41,760
It does give me confidence that it understands the situation better than it's able to render
837
00:45:41,760 --> 00:45:43,280
it.
838
00:45:43,280 --> 00:45:49,760
Just kind of rendering precision is different than its perception of the actual environment.
839
00:45:49,760 --> 00:45:54,440
Okay, so now we're taking a left up here and then we're going to merge onto this traffic.
840
00:45:54,440 --> 00:45:56,000
This is one of two ways to solve this.
841
00:45:56,000 --> 00:45:58,440
You either have to go straight like these cars are doing.
842
00:45:58,440 --> 00:46:03,040
And you see there's a do not enter there where I can't go that way because those cars, but
843
00:46:03,040 --> 00:46:09,240
now I'm going to the left here with a right stop sign to merge onto Roosevelt.
844
00:46:09,240 --> 00:46:13,920
Now this is the exact same road my unprotected left hand turn is on, but just a few miles
845
00:46:13,920 --> 00:46:14,920
prior.
846
00:46:14,920 --> 00:46:16,640
But you see to the left here, I can't see.
847
00:46:16,640 --> 00:46:19,440
So it's got to do a creep and I got an easy one.
848
00:46:19,440 --> 00:46:23,480
So after this truck, it's a gimmie, but this traffic could be moving very quickly.
849
00:46:23,480 --> 00:46:28,320
And you see now I got it, it did it just fine in this traffic load.
850
00:46:28,320 --> 00:46:29,320
It did it just fine.
851
00:46:29,320 --> 00:46:35,720
And I don't think it would have done it incorrectly, but the creeping and crossing high speed cross
852
00:46:35,720 --> 00:46:41,280
traffic is still I think the most dangerous maneuver for an autonomous vehicle because
853
00:46:41,280 --> 00:46:48,680
it has the least reaction time of all maneuvers and it's using only really only one camera
854
00:46:48,680 --> 00:46:49,680
in most scenarios.
855
00:46:49,680 --> 00:46:53,840
Sometimes the repeater camera can be a help, but you know, I don't have a bumper camera
856
00:46:53,840 --> 00:46:55,280
on this car.
857
00:46:55,280 --> 00:46:58,600
But hey, the new model Y is coming out with the bumper camera.
858
00:46:58,600 --> 00:47:03,280
It's being released in China first and boy, will it be interesting to see if the bumper
859
00:47:03,280 --> 00:47:07,880
camera starts to become part of FSD's use case.
860
00:47:07,880 --> 00:47:10,520
Even if it's just for parking, that's fine.
861
00:47:10,520 --> 00:47:15,560
You know, but we need some better cameras looking to the sides to assist this B pillar
862
00:47:15,560 --> 00:47:18,040
with its perception of high speed cross traffic.
863
00:47:18,040 --> 00:47:21,040
In my opinion, I know that's beating a dead horse.
864
00:47:21,040 --> 00:47:28,880
You guys are tired of hearing, but I say it because I feel it.
865
00:47:28,880 --> 00:47:35,840
But there's really not much left for this vehicle to do that it can't do flawlessly.
866
00:47:35,840 --> 00:47:41,440
You know, maybe we get a traffic scenario or a lane change or something unexpected happen.
867
00:47:41,440 --> 00:47:47,000
But once you're on the main part of a road, the system has no problems.
868
00:47:47,000 --> 00:47:51,920
City streets, highway, you know, for those of you who've listened to me a long time,
869
00:47:51,920 --> 00:47:54,560
I like to use this bell curve analogy.
870
00:47:54,560 --> 00:47:59,760
You know, the FSD system is just rock solid in the center of the bell curve when you're
871
00:47:59,760 --> 00:48:02,560
out in the driving environment driving.
872
00:48:02,560 --> 00:48:07,680
You know, the weird little inconsistencies seem to show up getting onto the road or getting
873
00:48:07,680 --> 00:48:10,040
off the road at the terminal ends of the drive.
874
00:48:10,040 --> 00:48:11,040
Right.
875
00:48:11,040 --> 00:48:14,840
We still don't have a true park and on park scenario, you know, that works every single
876
00:48:14,840 --> 00:48:16,440
time.
877
00:48:16,440 --> 00:48:20,360
We still don't have a perfect unprotected left hand turn scenario that works every single
878
00:48:20,360 --> 00:48:21,360
time.
879
00:48:21,360 --> 00:48:28,120
But once you get out into the flow of traffic, it's really, really good at managing whatever
880
00:48:28,120 --> 00:48:29,760
you throw at it.
881
00:48:29,760 --> 00:48:33,840
The speed profiles where a game changer, those of you on Hardware 3 that are getting speed
882
00:48:33,840 --> 00:48:37,040
profiles for the first time, like here's a really good example.
883
00:48:37,040 --> 00:48:41,320
We're in a 45, you would not have standard lit up right now.
884
00:48:41,320 --> 00:48:43,960
You're not going to have this speed profile at 45.
885
00:48:43,960 --> 00:48:48,160
As soon as that speed limit, the perceived speed limit goes to 50, you'll see your profile
886
00:48:48,160 --> 00:48:49,920
show up.
887
00:48:49,920 --> 00:48:54,280
And another thing for you, Hardware 3 folks that are just getting these speed profiles
888
00:48:54,280 --> 00:48:58,280
for the first time, I guess it's not relevant to you right now because it doesn't work
889
00:48:58,280 --> 00:48:59,480
below 50.
890
00:48:59,480 --> 00:49:05,280
The car will not do a three point turn
or any sort of reversing maneuver if there is
891
00:49:05,280 --> 00:49:07,920
a speed profile showing.
892
00:49:07,920 --> 00:49:11,160
That's a little bit of how they've been implemented.
893
00:49:11,160 --> 00:49:14,600
So if you're creating, if you're on a Hardware 4 car and you have these speed profiles and
894
00:49:14,600 --> 00:49:18,720
you're creating a drive and maybe you got an intermediate destination, if you still
895
00:49:18,720 --> 00:49:24,960
got that profile showing, it won't do a three point turn maneuver.
896
00:49:24,960 --> 00:49:28,160
Allow it to reverse, I guess is the right way to say it because it might not always
897
00:49:28,160 --> 00:49:31,920
be a three point turn, but it will not allow the car to go into reverse.
898
00:49:31,920 --> 00:49:35,240
We'll have to see if that changes.
899
00:49:35,240 --> 00:49:38,640
I don't think it's going to change to where it'll do it with the speed profile, but I
900
00:49:38,640 --> 00:49:43,480
do think that the speed profiles will get better at disappearing at the appropriate
901
00:49:43,480 --> 00:49:49,840
times so that you can allow the vehicle to do the reversing that it might need to do
902
00:49:49,840 --> 00:49:51,040
for the situation.
903
00:49:51,040 --> 00:49:55,640
It gets itself in.
904
00:49:55,640 --> 00:49:57,520
So what do you think?
905
00:49:57,520 --> 00:49:58,520
Any changes?
906
00:49:58,520 --> 00:50:01,640
Did anything feel different to you guys watching it?
907
00:50:01,640 --> 00:50:03,760
I was clapping my hands a lot.
908
00:50:03,760 --> 00:50:04,880
I do know that.
909
00:50:04,880 --> 00:50:08,840
There were a lot of scenarios that the car handled really, really well today that I perhaps
910
00:50:08,840 --> 00:50:12,960
hadn't seen evolve into the scenario before.
911
00:50:12,960 --> 00:50:15,280
I was really happy with the crosswalking guard.
912
00:50:15,280 --> 00:50:17,640
I've never actually had that happen before.
913
00:50:17,640 --> 00:50:21,840
It did the right thing, but I don't know that it did the right thing because it was a crossing
914
00:50:21,840 --> 00:50:26,760
guard or just a VRU, a vulnerable road user crossing the road in a jaywalking kind of a
915
00:50:26,760 --> 00:50:32,400
fashion that the car has obviously been very good at managing and doesn't even matter.
916
00:50:32,400 --> 00:50:37,000
Maybe the way it handles VRUs covers that use case.
917
00:50:37,000 --> 00:50:41,520
We talked a lot about the reading of signs and the size of the models and those sort
918
00:50:41,520 --> 00:50:44,040
of things earlier in the drive.
919
00:50:44,040 --> 00:50:49,360
There's a lot to think about there about whether or not reading signs is here.
920
00:50:49,360 --> 00:50:53,360
A big one is the no turn on red and the no turn on red in this situation.
921
00:50:53,360 --> 00:50:58,080
I saw one the other day that was like when you got two right lanes, it's like no turn
922
00:50:58,080 --> 00:51:00,400
on red unless you're in the right lane.
923
00:51:00,400 --> 00:51:02,400
I don't know if the car knows how to do that yet.
924
00:51:02,400 --> 00:51:10,080
That was at a situation down off of Interstate 95 earlier this week.
925
00:51:10,080 --> 00:51:14,520
But then we saw some scenarios in the highway where it did some good planning, but then
926
00:51:14,520 --> 00:51:19,480
also giving some room to some disabled vehicles on the side of the road.
927
00:51:19,480 --> 00:51:23,480
It did try to back up into a parking chain, but that was after I told it to park and I
928
00:51:23,480 --> 00:51:25,040
hit the start button.
929
00:51:25,040 --> 00:51:31,120
I had the control there, but it definitely did not render or stop emergency stop or
930
00:51:31,120 --> 00:51:33,280
anything with that thin chain.
931
00:51:33,280 --> 00:51:38,720
I still think we have a vulnerability there with very thin chains that are blocking our
932
00:51:38,720 --> 00:51:42,520
way.
933
00:51:42,520 --> 00:51:48,560
It managed a dynamic situation at five points and found us a new route on College Road.
934
00:51:48,560 --> 00:51:50,600
It did everything just fine.
935
00:51:50,600 --> 00:51:51,600
Getting us here.
936
00:51:51,600 --> 00:51:55,160
It could have been a Robo taxi today.
937
00:51:55,160 --> 00:51:59,200
I can see the future coming where Robo will be possible.
938
00:51:59,200 --> 00:52:03,600
I don't think it will be possible everywhere in every situation, but if Tesla can truly
939
00:52:03,600 --> 00:52:08,640
figure out how to crowdsource the data the car is inferring itself and give that data
940
00:52:08,640 --> 00:52:12,480
back to the fleet, that is going to be a game-changing technology.
941
00:52:12,480 --> 00:52:15,440
That will be something that Tesla gets to write a paper about.
942
00:52:15,440 --> 00:52:20,960
That will be something that Tesla is contributing to the community that is working on this problem
943
00:52:20,960 --> 00:52:24,440
if in fact they are the first ones to solve it.
944
00:52:24,440 --> 00:52:28,480
I do think that the memory layer that John Gibbs Doctor Know-it-all talked about earlier
945
00:52:28,480 --> 00:52:33,280
this week with that paper is an important part of localization of data that we need
946
00:52:33,280 --> 00:52:36,320
to think through a little bit more and maybe we will have some more conversations on that
947
00:52:36,320 --> 00:52:37,880
in the future.
948
00:52:37,880 --> 00:52:45,000
If the car sees something, it needs to remember it if it ever surprises the model.
949
00:52:45,000 --> 00:52:47,400
That is how we learn.
950
00:52:47,400 --> 00:52:51,960
Being a local driver here in Jacksonville at my age, I have a lot of local knowledge
951
00:52:51,960 --> 00:52:53,600
in my head.
952
00:52:53,600 --> 00:52:55,280
More than just how to drive.
953
00:52:55,280 --> 00:53:03,320
Some of its local demographics, maybe demographics is not the right word, but local information
954
00:53:03,320 --> 00:53:09,960
about how turn lanes are used, about how traffic flow manifests itself, about how people behave
955
00:53:09,960 --> 00:53:12,320
if you try to cut them off.
956
00:53:12,320 --> 00:53:15,320
All of those are things that can be localized.
957
00:53:15,320 --> 00:53:19,000
As we come up on this unprotected left turn, this is a forward-facing or protected left
958
00:53:19,000 --> 00:53:20,480
turn into traffic.
959
00:53:20,480 --> 00:53:23,440
I have seen the car handle it two different ways.
960
00:53:23,440 --> 00:53:28,080
Right now it is at the stop line, which means it could be waiting on the green arrow.
961
00:53:28,080 --> 00:53:32,080
But if it ever starts to creep out into the middle of the road, it is sort of taking on
962
00:53:32,080 --> 00:53:35,520
the turn whether the light changes or not.
963
00:53:35,520 --> 00:53:38,600
It is interesting to watch how it is doing it in this scenario.
964
00:53:38,600 --> 00:53:41,960
I guess with all the traffic, it is just like, yeah, I am going to wait here.
965
00:53:41,960 --> 00:53:44,480
But if it starts to see some gaps, you watch.
966
00:53:44,480 --> 00:53:46,640
It will creep up.
967
00:53:46,640 --> 00:53:48,560
Here is probably the first one we are going to get.
968
00:53:48,560 --> 00:53:50,280
Is it going to go for this right now?
969
00:53:50,280 --> 00:53:52,120
Or is that, see how it is creeping?
970
00:53:52,120 --> 00:53:55,160
It is creeping, it is creeping, and it is going to take it.
971
00:53:55,160 --> 00:53:56,840
It did it just fine.
972
00:53:56,840 --> 00:54:00,080
In the old days, I would not have liked that gap it chose.
973
00:54:00,080 --> 00:54:04,160
I was not confident that the car was going to continue and give the right acceleration
974
00:54:04,160 --> 00:54:05,640
to get all the way through it.
975
00:54:05,640 --> 00:54:06,640
But it did it just fine.
976
00:54:06,640 --> 00:54:09,880
I now have the confidence to know how the model Y behaves.
977
00:54:09,880 --> 00:54:13,440
In the Cybertruck right now, I probably would have been worried about that commit.
978
00:54:13,440 --> 00:54:18,080
Because the Cybertruck is committing with a very lethargic and sluggish kind of a commit
979
00:54:18,080 --> 00:54:21,520
that has not earned my trust yet.
980
00:54:21,520 --> 00:54:24,400
It has gotten me into a few binds, you could argue.
981
00:54:24,400 --> 00:54:30,040
I think that it is important to talk about all of them together because it is interesting
982
00:54:30,040 --> 00:54:37,040
to see how the models are evolving as the hardware on the vehicles allows it to evolve.
983
00:54:37,040 --> 00:54:39,040
Anyway, that is it for today.
984
00:54:39,040 --> 00:54:42,000
If you are still with me, you have been with me almost an hour.
985
00:54:42,000 --> 00:54:43,400
Tell me how many minutes you have been watching.
986
00:54:43,400 --> 00:54:46,200
I love seeing in the comments for you guys that make it all the way to the end of the
987
00:54:46,200 --> 00:54:47,200
video.
988
00:54:47,200 --> 00:54:49,320
Even if you fast forward or listen to it at double time.
989
00:54:49,320 --> 00:54:50,320
Thanks for sticking with me.
990
00:54:50,320 --> 00:54:54,640
If you are interested in listening to this audio only, look for my podcast.
991
00:54:54,640 --> 00:54:56,720
Just throw Chuck Cook in your podcast app.
992
00:54:56,720 --> 00:55:00,360
Subscribe to that and then I will pop up in your feed and you can listen to these while
993
00:55:00,360 --> 00:55:02,160
you are driving or something like that.
994
00:55:02,160 --> 00:55:03,960
I am trying to build that subscriber base.
995
00:55:03,960 --> 00:55:07,520
Spread the word to those that you think would enjoy this content.
996
00:55:07,520 --> 00:55:13,680
Of course, if you are watching on X as a subscriber or a supporter, thank you for your support.
997
00:55:13,680 --> 00:55:15,720
I appreciate you guys there.
998
00:55:15,720 --> 00:55:22,680
Anyway, this is 13.2.5 and the AI4 Model Y. We will see you guys next time.
999
00:55:22,680 --> 00:55:48,800
Have a great day everybody.