Chix2

🐿🐿🐿

[Lincoln @WaitWhat]

THIS
IS
INCREDIBLE!

The officer motions to back up and FSD backs up. Then the bus starts turning and FSD backs up a little more.

[Tesla @Tesla]

Engineering tests of the first production Cybercab have begun in Austin

[GreekSage @GreekSage]

$1T 가 넘는 규모 회사가
$44B 현금을 가지고 있고
지구 최초 완성된 자율주행 기술이 있고
휴머노이드 개발 마무리 단계이고

AI 대격변의 시대 기회가 눈앞에 있는데,

무엇이 걱정인가.
얼마나 흥미로운가.

[Elon Musk @elonmusk]

Happy New Year!

2026 will be a banger

[Chix2 @Chix215]

2026년은 인프라에 의존하는 가짜 자율주행이 한계를 드러내고, 스스로 생각하는 진짜 자율주행이 LEVEL2라는 껍데기를 벗고 시장을 통합하기 시작하는 원년이 될 것이다. 🐿️🐿️🐿️

[Mario Nawfal @MarioNawfal]

🇺🇸 SAN FRAN BLACKOUT – WAYMO FROZE, TESLA DROVE

Waymo’s robotaxis got a little too real last night - by completely shutting down when San Francisco’s power outage knocked out traffic lights.

Meanwhile, Teslas on FSD? Kept rolling. No drama, no headlines - just handling chaos like it’s a walk in the park.

This is what happens when you train your AI on billions of real-world miles instead of coddling it in a simulation padded with perfect data and wishful thinking.

Waymo bet on maps and order. Tesla bet on mess - and won. When the lights go out, the difference isn’t theoretical. It’s traffic.

Source: @Tesla_AI, @elonmusk

[Tesla AI @Tesla_AI]

FSD is trained on billions of real-world miles, including power outages

📸 @edgecase411

[Ashok Elluswamy @aelluswamy]

And so it begins!

[Tesla @Tesla]

KITT is now real

[GreekSage @GreekSage]

자율주행은 [끝]
이미 말했다.

물론 사람들은 낮은 가격에 주식 사는걸 극도로 꺼려하기 때문에

충분히 오르고서야 사고싶어 할것.

[Tsla Chan @Tslachan]

$TSLA 🇰🇷
BREAKING : I just experienced FSD (Supervised) for the first time in Korea.

The vehicle is Model X and the FSD version is *V14.1.4.

We have yet to see any official cases of V14 being applied outside of the United States and Canada.

I've just completed my first FSD run for about an hour.
(I've experienced about 10,000km of FSD in the U.S.)

Except for the parking lot, there was never a case where I intervened during the FSD drive.

The first impression of the FSD that works in Korea is that it is very amazing and a great achievement of the Tesla AI team.

Although there was one case where I went off the road without following the navigation, the FSD thought to itself and drove on the right path.

The overall experience in Korea was very good, such as turning left, turning right, U turn, joining lanes, and changing lanes.

It's kind of like... an American driver driving in Korea on an international driver's license.

If more data is generated in the future and the number of users increases, higher achievement of FSD in Korea is very much expected.

I can't wait for more people to experience FSD in Korea!
(Tesla Korea is a HW4 vehicle that purchased FSD and will update the FSD (Supervised) in the future for vehicles suitable for VIN number 5or7.

[Tesla @Tesla]

With FSD Supervised engaged, you're 7x less likely to be involved in an accident

https://t.co/AaKZlWvuTR

[Andrej Karpathy @karpathy]

I took delivery of a beautiful new shiny HW4 Tesla Model X today, so I immediately took it out for an FSD test drive, a bit like I used to do almost daily for 5 years. Basically... I'm amazed - it drives really, really well, smooth, confident, noticeably better than what I'm used to on HW3 (my previous car) and eons ahead of the version I remember driving up highway 280 on my first day at Tesla ~9 years ago, where I had to intervene every time the road mildly curved or sloped. (note this is v13, my car hasn't been offered the latest v14 yet)

On the highway, I felt like a passenger in some super high tech Maglev train pod - the car is locked in the center of the lane while I'm looking out from Model X's higher vantage point and its panoramic front window, listening to the (incredible) sound system, or chatting with Grok. On city streets, the car casually handled a number of tricky scenarios that I remember losing sleep over just a few years ago. It negotiated incoming cars in tight lanes, it gracefully went around construction and temporarily in-lane stationary cars, it correctly timed tricky left turns with incoming traffic from both sides, it gracefully gave way to the car that went out of order in the 4-way stop sign, it found a way to squeeze into a bumper to bumper traffic to make its turn, it overtook the bus that was loading passengers but still stopped for the stop sign that was blocked by the bus, and at the end of the route it circled around a parking lot, found a spot and... parked. Basically a flawless drive.

For context, I'm used to going out for a brief test drive around the neighborhood to return with 20 clips of things that could be improved. It's new for me to do just that and exactly like I used to, but come back with nothing. Perfect drive, no notes. I expect there's still more work for the team in the long march of 9s, but it's just so cool to see that we're beyond finding issues on any individual ~1 hour drive around the neighborhood, you actually have to go to the fleet and mine them. Back then, I processed the incredible promise of vehicle autonomy at scale (in the fully scaleable, vision only, end-to-end Tesla way) only intellectually, but now it is possible to feel it intuitively too if you just go out for a drive. Wait, of course surround video stream at 60Hz processed by a fully dedicated "driving brain" neural net will work, and it will be so much better and safer than a human driver. Did anyone else think otherwise?

I also watched @aelluswamy 's new ICCV25 talk last week (https://t.co/RdaM23kvez) that hints at some of the recent under the hood technical components driving this progress. Sensor streams (videos, maps, kinematics, audio, ...) over long contexts (e.g. ~30 seconds) go into a big neural net, steering/acceleration comes out, optionally with visualization auxiliary data. This is the dream of the complete Software 1.0 -> Software 2.0 re-write that scales fully with data streaming from millions of cars in the fleet and the compute capacity of your chip, not some engineer's clever new DoubleParkedCarHandler C++ abstraction with undefined test-time characteristics of memory and runtime. There's a lot more hints in the video on where things are going with the emerging "robotics+AI at scale stack". World reconstructors, world simulators "dreaming" dynamics, RL, all of these components general, foundational, neural net based, how the car is really just one kind of robot... are people getting this yet?

Huge congrats to the team - you're building magic objects of the future, you rock! And I love my car <3.

[Tesla @Tesla]

FSD Supervised expanding to Korea soon

[Tesla Korea @tesla_korea]

FSD 감독형
Next Destination: Korea
Coming Soon

[Tsla Chan @Tslachan]

$TSLA
캐시우드가 오늘 진행한 인터뷰 :

“테슬라에 대한 2030년 목표가격은 $2,600 입니다. 그 중 90%는 로보택시에서 발생합니다.”

[GreekSage @GreekSage]

2025 Q3 House of Dragon earning call

머스크의 이 한마디가 모든것 이었다고 생각.

"모든 것은 명확해졌다.
Dragon들의 총공격이다"

[Dirty Tesla @DirtyTesLa]

Walking in front of FSD 14.1.2

[Tesla @Tesla]

FSD Supervised V14.1 now rolling out

Highlights include
– Arrival Options
You can now select where FSD Supervised should park at the end of your trip: parking lot, on the street, driveway, parking garage or curbside

– Driver Profile Sloth 🦥
Lower speeds & more conservative lane changes compared to Chill

You should also notice overall improvements in smoothness & confidence

[레이어드 @LayeredInvest]

일론머스크 보상안 관련해서,

시총기준은 12개의 트렌치로 되어 있는데,

1번 트렌치 : $2.0T (주가 : $619)
2번 트렌치 : $2.5T (주가 : $774)
3번 트렌치 : $3.0T (주가 : $929)

---

12번 트렌치 : $8.5T (주가 : $2,632)

보상을 받기위해서는 시총목표 및 운영목표를 모두 달성해야 함

$TSLA

[GreekSage @GreekSage]

몇년만 지나도 이 시총이 커보이지 않을것.
모두들 마지막 퀘스트를 깨는 장면을 실시간으로 보길 바란다.
그리 오래 걸리지 않을것.