전차남(이직)

64K posts

전차남(이직)

전차남(이직)

@leejik

전기차 알려주는 남자. 전차남. 베타뉴스 대표, 엘제이팜 대표. Media Entrepreneur/news/IT/technology/ gadget/news

서울 Katılım Temmuz 2009
53.5K Takip Edilen47.1K Takipçiler
전차남(이직)
FSD 13.1이 무척 기다려 집니다. 몇가지 개선이 되었으면 좋겠습니다. 우선 고속도로에서 중앙에 그려진 화살표 같은거를 무서워해서 급하게 차선을 바꾸는 행위, 차선을 잘못 선택하는 행위, 가끔씩 너무 느리게 가서 뒷차에게 미안한 마음 느끼게 하는 증상, 단속카메라 근처에 가면 속도를 줄이는 행위, 등등이 개선 되었으면 좋겠습니다.
Dirty Tesla@DirtyTesLa

FSD 14.3.1 with a fast and smooth highway drive 😎

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Tesla Aaron L
Tesla Aaron L@TeslaAaronL·
Tesla’s handling is top-tier and rock-solid.
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前田謙一郎 Ken Maeda
前田謙一郎 Ken Maeda@Kenmaeda77·
5月6日にノルウェー・オスロ🇳🇴で開催される Nordic EV Summit 2026 のメインステージに登壇します。 セッションタイトル:「Are we facing Carmageddon?」(私たちはカーマゲドンを迎えるのか?) 伝統的な自動車メーカーは、EVシフトの加速、中国勢の強力な競争、欧州の規制強化、そして技術サイクルの短縮化により、大きなプレッシャーに直面している。本セッションでは、これが従来メーカーにとって「カーマゲドン(破滅)」を意味するのか、それとも新たな成長と適応の道が開けるのかを議論します。 私は日本市場の視点から、自動車メーカーの電動化状況や日本の電動化トレンドについてインサイトをお伝えします。 パネリスト: Julia Poliscanova(Transport & Environment, Senior Director Vehicles & E-mobility) Raed Kadri(Ontario Vehicle Innovation Network (OVIN) Head) モデレーター: Roger Atkins(Electric Vehicles Outlook Founder) 5月6日にオスロ近郊におられる方は、ぜひセッションにお越しください。
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ΛI DRIVR
ΛI DRIVR@AIDRIVR·
"20% faster reaction time" seems like an understatement FSD 14.3 reacts SO quickly that the visualizations can't even keep up... watch as the path planner reacts to the yellow light before the screen even shows it
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마녀코믹스
마녀코믹스@witchcomics·
다이어트에 성공하면 저랑 데이트해주세요🔥 👇뚱띠(였던)공x떡대수 <러브짐> 무료 보기👇
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前田謙一郎 Ken Maeda
前田謙一郎 Ken Maeda@Kenmaeda77·
テラファブのサイトがオープンしている。ガルダシェフスケールについても。イーロン・マスクは本当に私たちを銀河文明へ連れて行ってくれそうだ🪐
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Tesla AI
Tesla AI@Tesla_AI·
New release of FSD Supervised now starting to roll out This update brings 20% faster reaction time to further increase safety, among many other improvements Full release notes below Full Self-Driving (Supervised) v14.3 includes - 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. - Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed. - Mitigated unnecessary lane biasing and minor tailgating behaviors. - Increased decisiveness of parking spot selection and maneuvering. - Improved parking location pin prediction, now shown on a map with a (P) icon. - Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles. - 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. - 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.
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
Tesla FSD upcoming improvements: • Pothole avoidance • Expanded reasoning to all behaviors beyond destination handling • Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions
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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.

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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
FSD V14.3 installed. Time to record some videos.
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
Tesla FSD V14.3 first drive impressions: • Highway follow distance is more comfortable • Quicker take off from stop signs after coming to a complete stop • Highway lane change hesitation from previous versions seems gone for me • The navigation routes it takes are still sometimes confusing • It understood detour signs correctly on its way to a Supercharger, but got confused after with how to navigate to the Supercharger. It eventually figured it out. • For the most part, FSD does seem to be choosing parking spots closer to the designation, which is good, but I'm not noticing a big change in parking behavior overall. • Blinker activates later than previous version of FSD, a nice improvement • Speed profiles seem mostly the same Overall, I'm not noticing huge changes vs 14.2.2.5 in my first couple of drives, so I need more time with it. V14.3 does need some smoothening out, but I expect that with a bigger dot release like this. V14.3 feels like it's setting the stage for something larger to come, and that further reasoning capabilities will be added in future FSD updates.
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Sawyer Merritt
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.
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
For the first time ever, Tesla ranked as the #1 imported car brand in South Korea on a quarterly basis, effectively shattering the long-standing dominance of players like BMW. Not just in EVs — across vehicles of all fuel types. Tesla registrations in March skyrocketed +330% YoY. evwire.com/p/tesla-south-…
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Ming
Ming@tslaming·
$TSLA 🇰🇷 The South Korean Ministry of Land, Infrastructure, and Transport has issued a stern warning to Tesla owners: attempting to illegally enable FSD is a criminal offense 🚨 This move comes after Tesla Korea identified a software vulnerability linked to unauthorized activation attempts, officially reporting the flaw as a significant cybersecurity threat. According to the Ministry, several cases have surfaced abroad where owners used external "jailbreak" devices to bypass Tesla’s software locks and activate FSD. With these methods and open-source code circulating online, Korean officials are concerned that local drivers might attempt the same modifications on unauthorized vehicles. Currently, FSD is only legally permitted in South Korea for the U.S.-made Model S, Model X, and the Cybertruck. Source: koreajoongangdaily
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돈생걍사
돈생걍사@TSLA_Bitcoin·
나왔다!! 모델 Y L (6인승) 한국 출시!!! 🇰🇷😱 가격은 6499!! 미쳤다!!!! 🚀🚀
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Tsla Chan
Tsla Chan@Tslachan·
Tesla is hitting big innings in Japan and South Korea, key Asian markets.
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前田謙一郎 Ken Maeda
前田謙一郎 Ken Maeda@Kenmaeda77·
モデル3 🌸🇯🇵 10周年おめでとうございます。
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前田謙一郎 Ken Maeda
前田謙一郎 Ken Maeda@Kenmaeda77·
テスラのFSD自動運転で新宿駅前を通る。日本🇯🇵でも今年認可され、イーロンがポストしていたように日本のサービス拠点やスーパーチャージャーへの投資が加速すると一気にメジャーな車になるだろう。
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전차남(이직)@leejik·
우리나라는 테슬라 FSD가 완벽히 지원 되는 나라에 해당 되구나.
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