🐓TeslAp

Apple / Tesla

[🐓TeslAp @plaid42]

The end of next year

[Elon Musk @elonmusk]

@techiedani The brutal reality of the situation will hit like a tsunami towards the end of next year

[🐓TeslAp @plaid42]

@doki_jerry 이런거때매테슬람들이조롱당함ㅋㅋㅋㅋㅋㅋ

[🐓TeslAp @plaid42]

@innotiva100 잘가세요 ㅋㅋ 지난분기에 인도못한 15000대가 로보택시용이라고할때부터 알아봣음ㅋㅋㅋㅋㅋ

[🐓TeslAp @plaid42]

@CyberGwon 제발매도하고 나가라좀ㅋㅋㅋㅋ어그로그만끌고 ㅋㅋㅋㅋㅋㅋ

[🐓TeslAp @plaid42]

@Tslachan 와... 트레이드인으로 HW3갖다주고 중국산HW4받아온 사람은 바보되어버렷군요...ㅜㅜ ㅋㅋㅋㅋ

[🐓TeslAp @plaid42]

@ganziboy11 보유비중이커지니 기관입장에서는 기계적으로매도하는거죠

[Tesla @Tesla]

Over 10 billion miles driven on FSD Supervised

https://t.co/AaKZlWvuTR

[Tesla @Tesla]

Purpose-built for autonomy

Cybercab in production now at Giga Texas

[Elon Musk @elonmusk]

First (supervised) FSD approval in Europe!

Congratulations to the Tesla team and thank you to the regulatory authorities in the Netherlands for all the hard work required to make this happen.

[🐓TeslAp @plaid42]

@tesla2moon Unsupervised는 멀고도험하군요 ㅎㅎ

[Sawyer Merritt @SawyerMerritt]

BREAKING: Tesla has officially released FSD V14.3

I'm downloading it in my Model Y right now. Here's everything that's new:
• Improved parking location pin prediction, now shown on a map with a P icon.
• Increased decisiveness of parking spot selection and maneuvering.
• Rewrote the Al compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
• Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping - driven by training on hard RL examples sourced from the Tesla fleet.
• Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
• Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
• Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
• Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.

Upcoming Improvements:
• Expand reasoning to all behaviors beyond destination handling.
• Add pothole avoidance.
• Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.

[🐓TeslAp @plaid42]

@XFreeze 쇼핑몰에는 urban charger가 있었으면 좋겠는데.. 너무 빨라도 점거수수료 문제가 ㅜ

[🐓TeslAp @plaid42]

@TeslianGen2 아이폰모먼트가오고있군요..

[🐓TeslAp @plaid42]

@TePalmania 무슨5만대를 YL로미리만들어둡니까 희망회로가너무심하네요 ㅋㅋ 로보택시용으로 만들어둔거라는거보다 더 어이없음

[뮤 @rar2028]

약속의 4월 첫 이벤트🎉

스타트를 잘 끊어야 됩니다!!!!

🟢4월 2일: 인도량 발표
🔴4월 첫주: V14.3 릴리즈
🔴4월 10일: 네덜란드 FSD 승인
🔴4월: 사이버캡 양산 시작
🔴4월 중: 옵티머스3 공개
🔴4월 중: 로드스터 공개
🔴4월 말: 1분기 실적 발표

오늘 이벤트 서프라이즈를 위해 모두

테멘🙏

[🐓TeslAp @plaid42]

@elonmusk Of course!!!

[Elon Musk @elonmusk]

Stand By Me

[🐓TeslAp @plaid42]

@Teslaconomics 1분기의 문제는 인도량이 아닌듯. 생산량과 인도량의 갭차이 그리고 생각보다 부진했던 ESS부문이 더큰 문제였던듯.
물론 월가 컨센보다 부진했던 것도 한몫했지만

[Teslaconomics @Teslaconomics]

For anyone that thinks Tesla is sucking in EV sales… you should take a look at Q1 2026 pure EV deliveries of other companies:

• Tesla: 358,023 (*official today*)
• BYD: 310,389
• NIO: 83,465
• XPeng: 62,682
• GM: ~25,900
• Rivian: 10,365
• Ford: 6,860
• Lucid: ~4,985

[🐓TeslAp @plaid42]

@StarLight_Tsla 와 본진털리는흉기.. 이젠 멀티를 본진처럼 운영해야 ㅜㅜ