There’s a HUMAN inside Tesla FSD 12.3

AI DRIVR
16 Mar 202428:35

Summary

TLDRThe video script offers an insightful analysis of Tesla's Full Self-Driving (FSD) technology, highlighting the significant improvements in version 12.3. The AI demonstrates a more human-like driving behavior, particularly in handling unprotected turns and maintaining consistent speed. Despite some critical disengagements due to road closure misunderstandings, the overall performance is promising, suggesting that with continued updates, FSD could become even more reliable and user-friendly.

Takeaways

  • πŸš— Version 12 of Full Self-Driving (FSD) technology shows significant improvement in driving like a human, with more natural and predictable behavior.
  • πŸ›£οΈ The car's performance in unmarked intersections and parking lots has greatly improved, showing cautious and patient behavior, similar to that of a human driver.
  • 🚢 The FSD beta effectively yields to pedestrians, demonstrating a good understanding of their movements and prioritizing safety.
  • 🚦 The vehicle handles unprotected turns with more caution, creeping out to ensure visibility of oncoming traffic before proceeding.
  • πŸš—πŸ”„ The car still faces challenges with road closures, resulting in critical disengagements when it attempts to navigate through them.
  • πŸš˜πŸ‘¨β€πŸ’Ό There were instances where the car's automatic emergency braking system intervened, showing that safety systems are actively working to prevent potential accidents.
  • πŸ“ˆ The overall speed maintenance and consistency have improved, making the ride smoother and more enjoyable.
  • 🚫 The car still requires human intervention for certain maneuvers, such as making a U-turn in a small space or navigating through road closures.
  • πŸ“Œ The FSD beta's ability to anticipate other drivers' actions and react smoothly to unexpected situations is a notable improvement.
  • 🚨 Despite the advancements, there are still areas that need refinement, particularly in understanding and reacting appropriately to road closure situations.
  • πŸš€ With the rapid pace of improvement from version 12.2 to 12.3, expectations are high for the future capabilities and release of FSD technology.

Q & A

  • What is the main topic of the video transcript?

    -The main topic of the video transcript is the evaluation of Tesla's Full Self-Driving (FSD) version 12.3, focusing on its performance in various driving scenarios and comparing it to previous versions.

  • What are the two possible reasons the narrator considers for the slow rollout of version 12 of FSD?

    -The two possible reasons the narrator considers are that either the new approach using human data to train a generalized driving AI is working, or Tesla employees are remotely driving all the cars from their offices.

  • How does the narrator describe the parking lot performance of FSD version 12.3?

    -The narrator describes the parking lot performance as improved, with the FSD version 12.3 being able to handle complex situations like unmarked intersections and interacting with pedestrians more effectively than before.

  • What is the narrator's opinion on the potential release of Smart Summon in future FSD updates?

    -The narrator is excited about the possibility of Smart Summon being introduced in future FSD updates, as it could further enhance the convenience and capabilities of the self-driving system.

  • How does FSD version 12.3 handle unprotected turns compared to version 11?

    -FSD version 12.3 handles unprotected turns more cautiously and naturally, creeping forward to get a good view of incoming traffic before proceeding, whereas version 11 had more trouble with these types of turns.

  • What is the narrator's view on the AI's ability to handle a situation with a pedestrian crossing unexpectedly?

    -The narrator believes that the AI handled the unexpected pedestrian crossing situation better than a human driver might have, showing an improved understanding and reaction time compared to previous versions.

  • What are the critical disengagements mentioned in the transcript, and what was the common issue?

    -The critical disengagements were instances where the FSD system would have gotten into trouble without human intervention. The common issue was the system's inability to properly handle or understand road closures.

  • How does the narrator describe the automatic emergency braking system in FSD version 12.3?

    -The narrator mentions that the automatic emergency braking system in FSD version 12.3 seems to have been turned up, leading to an incident where the car skidded to a stop while trying to navigate a tight gap.

  • What is the narrator's overall impression of FSD version 12.3 after the test drive?

    -The narrator is impressed with the improvements in FSD version 12.3, particularly in maintaining consistent speed, handling unprotected turns more naturally, and exhibiting more human-like behavior. However, they also note the critical disengagements related to road closures.

  • What feature from previous FSD versions does the narrator miss in version 12.3?

    -The narrator misses the models for objects like trash cans and cones from previous FSD versions. In version 12.3, these have been replaced with blobs, which, while not as visually appealing, provide more information for the driver.

  • What does the narrator suggest as a potential future improvement for FSD?

    -The narrator suggests that the ability for FSD to reverse and perform actions like three-point turns on its own would be a significant future improvement, as it would resolve some of the non-critical disengagements experienced during the test drive.

Outlines

00:00

πŸš— Introducing Version 12: A Leap Forward in Full Self-Driving

The video begins with a discussion on the new approach to training a generalized driving AI using human data, highlighting the improvements in Tesla's Full Self-Driving (FSD) version 12. The host shares their belief that this version feels the most human-like yet, with notable advancements in parking lot navigation and handling unmarked intersections. Excitement is expressed over the potential release of Smart Summon in future iOS app updates and the possible return of Auto Park. The video showcases how the car confidently handles complex situations such as navigating through a busy parking lot, dealing with pedestrians, and managing tight gaps, emphasizing the significant leap in capability compared to previous versions.

05:02

🌟 Version 12's Enhanced Perception and Decision Making

This paragraph delves into the enhanced perception capabilities of FSD version 12, noting the replacement of detailed models with 'blobs' for objects like trash cans and cones, which surprisingly offer more information. The host discusses the car's ability to handle complex situations such as road closures and unprotected turns, highlighting the car's cautious approach and improved decision-making. A particular focus is on the car's interaction with pedestrians and other vehicles, showcasing how the FSD beta can anticipate and react to their movements more effectively than earlier versions. The host also expresses gratitude towards Patreon supporters, attributing the improved video production quality to their contributions.

10:04

πŸ›£οΈ Navigating Challenges: Road Closures and Construction Zones

The host discusses the challenges faced by FSD version 12 when dealing with road closures and construction zones. Despite the car's improved capabilities, it still struggles with understanding and reacting appropriately to road closures, leading to a few critical disengagements. The video provides examples of these situations, including the car's inability to perform a U-turn in a small space and its difficulty in rerouting around obstacles. However, the host remains optimistic about the future improvements, particularly once the car gains the ability to reverse on its own, which is expected to significantly enhance its navigational skills.

15:05

πŸšΆβ€β™‚οΈ Improved Pedestrian Interactions and Human-like Driving Behaviors

This section of the script focuses on the remarkable improvements in the car's interaction with pedestrians and its adoption of human-like driving behaviors. The host narrates instances where the car exhibits politeness andι’„εˆ€, such as allowing a car to merge or waiting for pedestrians to cross, even when they might not be expected. The video also highlights the car's ability to handle complex traffic situations, like navigating through a roundabout and making unprotected turns, with a level of caution and decision-making that closely mimics human drivers. The host expresses their amazement at the car's ability to read and respond to traffic signs, such as 'no right on red', and its overall progress in safety and predictability.

20:06

πŸ“ˆ Version 12.3: A Comprehensive Review and Future Expectations

In the concluding paragraph, the host provides a comprehensive review of FSD version 12.3, summarizing the significant improvements made over the previous version. They note the car's enhanced ability to maintain consistent speeds and handle unprotected turns more naturally, as well as its increased human-like behavior in traffic situations. The host acknowledges the three critical disengagements related to road closures and the four non-critical disengagements, suggesting that these issues are fixable and will likely be resolved with future updates. They express optimism about the rapid pace of improvement and the potential for full self-driving capabilities in the near future, while also contemplating the need for new ideas for their YouTube channel as the technology advances.

Mindmap

Keywords

πŸ’‘Full Self-Driving (FSD)

Full Self-Driving (FSD) refers to the advanced driver assistance system developed by Tesla that aims to enable a vehicle to navigate and operate autonomously without any human intervention. In the context of the video, FSD is being evaluated based on its performance in various driving scenarios, showcasing its improvements in decision-making and handling complex traffic situations.

πŸ’‘Human Data

Human data in the context of autonomous driving refers to the information collected from human drivers' behavior, which is used to train and improve the AI algorithms of self-driving systems. The video suggests that the use of human data has contributed to the more natural and human-like driving style exhibited by the FSD system.

πŸ’‘Parking Lot Performance

Parking Lot Performance refers to the ability of a self-driving car to navigate, park, and exit parking lots, which is a complex task involving decision-making and interaction with other vehicles and pedestrians. In the video, the FSD's parking lot performance is highlighted as having significantly improved, showcasing its capability to handle unmarked intersections and tight spaces.

πŸ’‘Unprotected Turns

Unprotected turns are maneuvers at intersections where there are no dedicated traffic signals or signs to control the flow of traffic, requiring the driver to make decisions based on the behavior of other vehicles and pedestrians. The video emphasizes the improved performance of FSD in executing unprotected turns, demonstrating its enhanced ability to assess traffic conditions and make safe decisions.

πŸ’‘Critical Disengagements

Critical disengagements refer to instances where the self-driving system is unable to handle a situation and requires immediate human intervention to prevent potential accidents or issues. In the context of the video, critical disengagements highlight areas where FSD still needs improvement, particularly in understanding and reacting to road closures.

πŸ’‘Non-Critical Disengagements

Non-critical disengagements are situations where the self-driving car disengages from autonomous mode, but the issue could be resolved without immediate human intervention or does not pose a direct safety risk. These instances indicate areas for refinement in the FSD system, such as navigating tight gaps or performing complex maneuvers like U-turns.

πŸ’‘Automatic Emergency Braking

Automatic Emergency Braking is a safety feature in modern vehicles that uses sensors and cameras to detect potential collisions and applies the brakes automatically to prevent or mitigate crashes. In the video, FSD's automatic emergency braking is highlighted as an active safety system that intervenes in certain situations, showcasing its role in maintaining safe driving.

πŸ’‘Visualization

In the context of self-driving technology, visualization refers to the graphical representation of the car's surroundings, including other vehicles, pedestrians, and obstacles, as seen through the sensors and cameras of the autonomous system. The video discusses how FSD's visualization has improved, now representing certain objects as 'blobs' for better understanding and decision-making.

πŸ’‘Road Closures

Road closures are situations where a section of the road is blocked off, preventing vehicles from passing through. In the video, road closures present a challenge for FSD, as it struggles to understand and react appropriately to these scenarios, leading to critical disengagements.

πŸ’‘Improvement Rate

Improvement rate refers to the speed and extent of advancements or progress in a technology or system over time. In the context of the video, the improvement rate of FSD is discussed in terms of the rapid enhancements made from one version to the next, indicating the potential for significant progress in the near future.

Highlights

The new approach using human data to train a generalized driving AI seems to be working, making the full self-driving (FSD) version 12 feel more human-like in its driving behavior.

FSD version 12 has shown improvements in parking lot performance and handling unmarked intersections, showcasing its ability to wait out complex situations with multiple actors involved.

Leaks in the iOS app updates suggest that Smart Summon may be coming soon, which would be a significant addition to the FSD features.

The FSD beta has demonstrated a more natural and smooth driving manner, avoiding the slow creep that signals intent to other drivers, thus feeling more competent.

Pedestrian interactions have seen considerable improvement, with the FSD beta yielding well for pedestrians, even in situations where the human driver might not have been as accommodating.

The FSD beta managed a complex maneuver of crossing multiple lanes to make a left turn at a light, showcasing its understanding of traffic patterns and lane discipline.

There's a notable difference in the way version 12 handles right turns at lights, with the system displaying more caution and better anticipation of traffic conditions.

The FSD beta's ability to handle unprotected turns has improved, with more cautious and human-like behavior, making it a safer and more predictable driver.

The beta's reaction to a pedestrian crossing in front of the car was well-handled, even when the human driver did not see the pedestrian until editing the video.

The FSD beta's automatic emergency braking system was triggered during a tight gap maneuver, demonstrating the safety systems' vigilance despite the beta's capability to handle such situations.

The beta's visualization system has replaced models for objects like trash cans and cones with blobs, which, while less aesthetically pleasing, provide more useful information for understanding the car's surroundings.

The FSD beta exhibited a better understanding of road closures and navigated more cautiously, although it still struggled with certain road closure scenarios.

The beta's ability to anticipate and smoothly handle the movements of other vehicles, even when they are indecisive or unexpected, showcases its advanced understanding of traffic dynamics.

The FSD beta's handling of a tough unprotected left turn, with its cautious creeping behavior and good visibility management, demonstrates a significant improvement over previous versions.

The beta's decision-making during a yellow light, choosing to accelerate through the intersection after initially braking, shows its capability to make quick, human-like judgments.

The FSD beta's navigation and driving behavior, particularly in complex situations like road closures and construction zones, indicate that while it has made great strides, there is still room for improvement.

The overall improvements from version 12.2 to 12.3 are substantial, suggesting that if this rate of enhancement continues, the future of full self-driving looks promising.

Transcripts

00:00

after watching this drive through San

00:01

Jose I think you'll agree one of two

00:04

things about full self-driving is true

00:06

either the new approach using human data

00:08

to train a generalized driving AI is

00:10

working or the reason version 12 has

00:12

been so slow to roll out is because

00:15

Tesla employees are the ones remote

00:17

driving all the cars from their offices

00:19

in all seriousness this really is the

00:21

most human feeling version of FSD yet

00:23

and there's some moments in this drive

00:24

you're going to have to see to believe

00:26

the first thing it's going to have to do

00:28

is escape this parking lot you can see

00:30

it pull up to this intersection pretty

00:31

cautiously and there's an approaching

00:33

car from our leftand side and also

00:35

someone leaving their parking spot from

00:37

the right hand side so it does decide to

00:39

wait it out parking lot performance in

00:41

general and especially the performance

00:44

in these unmarked intersections has

00:46

gotten really really good and I've also

00:49

seen some leaks in the IOS app updates

00:51

where it looks like actually smart

00:53

summon could be coming very soon which I

00:56

am super excited to try out and I'm also

00:59

excited that we're probably going to get

01:00

Auto Park back too you can see another

01:03

driver ahead of us leaving their parking

01:04

spot and what I love here is that it's

01:06

not coming to a full stop and doing a

01:08

slow 1 or 2 mph creep the entire time

01:12

and I know that may not seem like much

01:14

but creeping slowly really does show a

01:16

lot of intent to other drivers which is

01:18

what they're used to and makes it feel a

01:20

lot more competent there's a pedestrian

01:22

on the right hand side who just walks

01:24

out without a care in the world she

01:26

never looked back or anything I think

01:28

don't think she has a clue where here

01:30

but uh the beta does a great job

01:32

yielding for her I know there's a lot of

01:34

humans out there that wouldn't have been

01:36

quite as nice in this situation the exit

01:39

of this parking lot is unfortunately one

01:42

that is very common around here but one

01:44

that I do not like which is this

01:46

intersection right where the entrance is

01:49

it could be pretty tough to escape a

01:51

situation like this but luckily there's

01:52

a pedestrian who's walking across in

01:55

front of the car to the left and it

01:56

actually takes this opportunity and goes

01:59

for it this was extremely well done it

02:01

CH a perfect moment to pull out and this

02:03

is something that version 11 had quite a

02:06

bit of trouble with it would have been

02:07

yielding to pretty much every vehicle in

02:09

the scene now as we approach this

02:11

unprotected turn you may notice that our

02:14

leftand turn signal is on for this right

02:16

turn you can see on the navigation it

02:19

definitely knows that it has to make a

02:21

right turn but yet it has the left turn

02:23

signal on that is because we have to

02:25

make a left turn at the light which

02:27

means as soon as we get out of this

02:28

parking lot we're going to have to cross

02:30

over multiple Lanes to get all the way

02:32

over into that leftand turn lane and as

02:34

soon as traffic clears it goes ahead and

02:37

makes its move and Crosses all four

02:40

lanes at once and gets us all the way

02:43

into the leftand turn lane very well

02:46

done and I know there is going to be

02:47

some complaints about it crossing a

02:49

solid white line which we all know is

02:51

punishable by death in all 50 states so

02:54

go ahead and cry about it in the

02:55

comments now you may be able to just

02:57

barely make out this pedestrian on the

02:59

visual visualizations that I in the car

03:01

did not see at all so I thought this

03:03

person turning right was just stopping

03:05

in the road for absolutely no reason

03:08

here I did not see The Pedestrian

03:10

Crossing in front of him at all this is

03:13

one of those scenarios where I feel like

03:15

the car may have had a little bit better

03:17

of an understanding of what was going on

03:19

than I did in the car because I didn't

03:21

even know that pedestrian was there

03:22

until I started editing this video and

03:25

while that maneuver was very well

03:27

handled and very smooth I might add the

03:30

next one was definitely not we have a

03:34

right turn to make it the light ahead

03:35

and you can see a human driver squeezing

03:37

the gap between the trash can and the

03:39

car next to it and I could not believe

03:42

autopilot was about to try the same

03:43

thing but it did I'm going to let you

03:45

watch what happens

03:47

here oh my

03:50

God it actually triggers the car's

03:53

automatic emergency breaking and makes

03:55

it skid to a stop this is definitely

03:57

worth taking a closer look at that is

03:59

definitely a first for the channel you

04:01

can see that the Gap is pretty tight

04:03

here but we have seen version 12 shoot

04:05

tighter gaps in the past but I think it

04:07

was because it was heading towards the

04:09

SUV to the left as it was passing the

04:11

trash can that triggered it now you

04:13

might not know this but there was

04:14

actually another incident on version 12

04:16

that somebody recorded a it tapping

04:18

another car's bumper in a parking lot so

04:20

I have a feeling that may be the reason

04:23

that the automatic emergency braking has

04:25

been turned up to 11 here now to be

04:28

honest I'm not really sure what to file

04:30

this disengagement under I'm going to go

04:32

ahead and call it a non-critical

04:34

disengagement because to be honest I

04:36

think the car had it handled I think it

04:38

would have completed that maneuver just

04:41

fine but it was the automatic emergency

04:43

systems that overrode its decision and

04:46

brought it to an abrupt stop I seem to

04:48

believe in version 12's abilities even

04:51

more than the car does we do go ahead

04:53

and pull off to the side of the road

04:55

because we have reached our destination

04:57

and I go ahead and put another one in

04:59

and re-engage while the car is doing its

05:02

best to try to get around this trash can

05:04

here I think it's interesting to point

05:06

out that the models for a lot of things

05:08

including trash cans and cones and all

05:11

that are completely gone with version 12

05:14

you can see they've been replaced with

05:15

kind of just blobs that show up on the

05:17

visualization and although the blobs

05:19

might look a little bit ugly I think

05:21

they actually give you a little bit more

05:23

information and I'm hoping that they

05:25

take over the entire driving

05:27

visualization someday now we we have a

05:30

left turn to make here but as you may be

05:32

able to see off to the left the road is

05:34

closed there is enough room to get

05:36

around those cones though so let's see

05:39

what it wants to do here you can see a

05:43

very slow creep into the intersection I

05:45

almost feel like it knows it shouldn't

05:48

turn left here but it's still trying to

05:50

figure out a way to do it and it sits

05:52

here for quite a while until a car

05:55

approaches from behind us and at that

05:56

point it goes for it which does cause

05:59

our first critical disengagement because

06:02

unlike the last video where the road

06:05

closure said Road closed except for

06:07

local traffic this one is a real road

06:10

closure and I did not want to interrupt

06:13

whatever was going on over there so

06:15

looks like it's still having a bit of

06:17

trouble in those road closure situations

06:20

it's funny in all the road closures I

06:23

put it in it almost feels like it knows

06:25

it's not the right thing to do but

06:27

always ends up just trying it anyway

06:29

ways we're actually going to try to

06:31

navigate through that exact same road

06:32

closure later in the drive to see if the

06:34

same outcome happens and as we fast

06:37

forward to the next moment of Interest I

06:38

wanted to give a quick shout out to my

06:41

patreon supporters cuz I saved up every

06:43

dollar you guys have sent for months and

06:45

months and used it to buy a proper

06:48

editing computer which makes making

06:50

videos like this a lot easier cuz I

06:52

really was maxing out my previous

06:55

computer making these videos so thank

06:57

you for directly supporting the channel

06:58

and always know that every dollar I get

07:00

from patreon directly goes into

07:02

improving quality on the channel the

07:04

driver in front of us is a little bit

07:06

indecisive about his right turn up here

07:08

and you can see he slows down and then

07:10

speeds up and ends up making the ride at

07:12

a later time but full self-driving is

07:15

able to remain extremely smooth through

07:17

all of this it doesn't even slow down as

07:19

he's making the next right version 12

07:21

seems to be able to anticipate what

07:23

people are going to do really really

07:26

well and even when they do something

07:28

unexpected it's still still remain

07:30

smooth another really good example of

07:32

that up here we're on a pretty narrow

07:34

road where only one car fits at a time

07:36

and you can see it give the rideway to

07:38

this car but only slows down a little

07:40

bit and just maintains speed as it moves

07:42

over and then continues right on going

07:46

also love how early it offsets for

07:47

pedestrians compared to version 11

07:50

giving them no doubt that we see them

07:52

and we're controlling for them and there

07:54

was one specific really incredible

07:57

pedestrian interaction that happens a

07:58

little bit later in the video kind of a

08:01

funky intersection here where we have to

08:03

make this right turn and then make the

08:05

immediate left on that street that you

08:06

can see there and it gets a little bit

08:08

tripped up by this incoming car but as

08:11

soon as it was clear that he was going

08:12

to stop it goes ahead and proceeds no

08:15

problem we are about to reach our

08:18

destination and this time it actually

08:20

does not pull over it just kind of stops

08:23

in the road and it was fine cuz there

08:24

was nobody behind us so I just went

08:26

ahead and put in a new navigation route

08:27

real quick but kind of curious I don't

08:30

know the reason why sometimes it hunts

08:32

for a spot to pull over and other times

08:35

it just kind of stops in the road and

08:37

although it's doing a really good job on

08:39

these streets with no Lane lines or

08:40

anything going to go ahead and fast

08:43

forward until we get some more

08:44

interesting scenarios cuz there's a lot

08:46

we got to see in this video coming up

08:48

here we have our first pretty tough

08:50

unprotected left turn and the speed

08:52

limit on this road is 40 but as you can

08:54

see by the model y passing in front of

08:55

us traffic is Flowing a little bit

08:57

faster than that it does have to create

08:59

creep really far out here even over the

09:01

crosswalk in order to have any

09:03

visibility of incoming traffic and after

09:05

the car passes that comes from the right

09:08

it creeps out a little bit more make

09:10

sure it's safe and then proceeds you can

09:12

see it crossing right over those Lan

09:14

lines there taking the human path

09:16

through that turn for sure now it did

09:19

get pretty lucky in that unprotected

09:20

turn because there wasn't a lot of

09:22

traffic but I think unprotected turns

09:24

have actually been improved quite a bit

09:26

this version seems to be much more

09:28

cautious at intersection like this that

09:30

are kind of blind because of traffic

09:32

parked on both sides there was no creep

09:34

wall displayed in the visualizations

09:36

there but it did an excellent job of

09:38

creeping out right to the Limit before

09:40

proceeding when it had a good view on

09:42

both sides intersections like this are

09:44

pretty dangerous and unfortunately

09:47

extremely common around here but again

09:50

you can see how it creeps very very

09:52

slowly and kind of does one final stop

09:55

at the very end here before proceeding

09:58

confidently this seem to be pretty

10:00

consistent and it's nice because this is

10:02

exactly how humans behave in

10:04

intersections like this we creep out to

10:06

just before the point where we're

10:08

starting to obstruct traffic and then

10:09

take a look and then proceed when it's

10:11

safe there's a bus in our lane and

10:14

instead of staying behind it it actually

10:15

moves over to get beside it which is

10:18

probably the same thing I would have

10:19

done but there's actually a car ahead of

10:21

the bus and an immediate merge for a

10:24

moment it almost felt like it was

10:25

slowing to let the car in in front of us

10:27

but when they were slow to proceed off

10:29

the the light it just went for it

10:31

probably the same thing I would have

10:32

done in that situation and again loving

10:35

the way it's ignoring the lane lines

10:37

here and Crossing them very early you

10:40

can see it's uh pretty patient for this

10:42

unprotected left turn here I think the

10:44

last version would have just went for it

10:46

right now but this version stays a

10:48

little bit more patient and lets the

10:49

next car pass it does seem like they've

10:52

dialed back the assertiveness of these

10:54

unprotected turns which is probably a

10:56

good thing I must say that the amount of

10:58

progress I'm seeing in areas like those

11:00

compared to just one version ago is

11:03

really incredible and if these are the

11:05

kind of improvements we can expect going

11:07

forward 2024 is going to be a wild year

11:12

for full self-driving coming up here is

11:15

one more example of its creeping

11:16

Behavior at this uncontrolled

11:18

intersection with no signs or anything

11:20

you can see it just goes right to the

11:22

point where traffic is approaching slows

11:24

down and then proceeds once it can

11:26

actually see and we have a right to turn

11:30

coming up and based on our previous

11:32

experiences you'd think it'd be going

11:34

for it right now there's a huge gap and

11:36

it can easily fit in there but it does

11:39

not I think it probably learned its

11:42

lesson from the last time it tried to do

11:44

that I'm just kidding that's not a real

11:46

thing but that is one of the side

11:48

effects of having it completely AI based

11:51

is that you never really know what it's

11:54

going to do in any situation it really

11:56

makes things pretty interesting there is

11:58

a cyc to our right in an oncoming car

12:01

approaching and it decides to shoot the

12:03

Gap even running over the center line a

12:06

little bit which was extremely

12:08

human-like and probably how everybody

12:10

would have treated that situation that

12:12

is an area where older versions

12:13

struggled quite a bit now we've seen

12:16

quite a few pretty humanlike moves out

12:18

of the beta so far but this next one

12:21

definitely tops it it's probably one of

12:23

the most human things I've ever seen it

12:25

do we have a right turn to make at this

12:28

St light ahead and traffic in front of

12:31

us begins slowing down and they actually

12:33

come to a full stop here and a car

12:36

approaches from the right hand side out

12:37

of that parking lot instead of pulling

12:39

up behind the car in front of us which

12:41

would have blocked this guy into the

12:42

parking lot it takes the polite approach

12:45

and lets this guy go he even waves

12:47

thanks before he goes this was an

12:49

absolutely incredible move I remember

12:52

not that long ago full self-driving

12:54

wouldn't even drive over these green

12:57

markings on the road because it was

12:58

scary of them look how far we have come

13:02

and when I posted that clip on X there

13:04

were a few people that said the car

13:05

should have just taken the ride of way

13:07

which would have mean blocking him in

13:09

there and usually I am on team just take

13:11

your ride of way and don't be polite but

13:13

in that scenario I don't think the car

13:15

did anything wrong at all and I think

13:17

that was the correct move now our

13:20

navigation point is right up here off to

13:22

the left and about 100 ft and it does

13:25

seem like it just wants to come to a

13:28

stop in the middle of the road here

13:30

instead of trying to pull over again not

13:33

really sure when it decides to pull over

13:36

versus when it just stops in the middle

13:37

of the street but interestingly after it

13:39

sees this car approach it decides to

13:42

start moving again that is something

13:44

I've noticed with version 12 in general

13:47

is that if there's another car in the

13:48

scene it seems to make it kind of behave

13:51

differently like when we were at that

13:53

construction zone and a car pulled up

13:55

behind it it made it move and that is

13:57

something that that's pretty consistent

13:59

version 12 seems to have a little bit of

14:01

a sense of urgency I guess you could

14:03

call it when there's other traffic

14:05

around uh does end up just coming to a

14:07

complete stop here and unfortunately

14:11

it's brought itself down a dead end road

14:14

so after choosing a new navigation route

14:16

you can see it has to do a uturn in this

14:20

little court at the end of the road here

14:22

now version 12 can actually do u-turns

14:25

but it cannot back up so let's see if

14:27

it's able to complete the turn in this

14:29

small space starting out strong swinging

14:32

the wheel to the right but doesn't quite

14:35

turn hard enough to the left in order to

14:37

complete the maneuver and ends up just

14:40

stopping here which does cause our

14:42

second non-critical disengagement of the

14:45

drive cuz it needed a little bit of

14:48

human help at least until it has the

14:50

ability to reverse on its own and I did

14:53

only back up a little tiny bit here to

14:55