faultbugs

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faultbugs

@faultbugs

Tesla Model 3 owner(2020 model 3 SR+ & 2024 model 3 LR). Rumor Buster. If you wanna know the true facts of Tesla China. Just follow me.

China Katılım Mart 2011
1.2K Takip Edilen1.2K Takipçiler
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faultbugs
faultbugs@faultbugs·
For Tesla's FSD info, I strongly suggest that you read what @jamesdouma writes. And for FSD in China, I strongly suggest you follow me. If there's any confirmed news on that, I will let you know immediately. There are so many many rumors of Tesla China and FSD stuff on this platform even some famous accouts are spreading fake news about this again and again. I do think you need some true facts about this. And that is why I ask you again and again to follow me.
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Ryan Zohoury
Ryan Zohoury@RyanZohoury·
Franz spotted driving the Cybercab down the 405 through Los Angeles
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faultbugs
faultbugs@faultbugs·
FSD八月份过审那个消息,假的。目前没有任何确定消息。一切皆有可能。
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GUTE_RachelHan
GUTE_RachelHan@GuteslaX·
중국 내 테슬라 FSD가 승인 절차를 “순조롭게” 진행 중이며, 2026년 8월 전면 배포 가능성이 제기되고 있다. V13 완전형 배포를 건너뛰고 V14를 바로 적용하며, 구독형 모델로 전환해 월 600위안 이상이 예상된다는 신뢰도 높은 루머다.
GUTE_RachelHan@GuteslaX

⭕️[Rumor] Tesla FSD V14 to launch in China after regulatory approval, full rollout expected in August… shift to subscription model at 600+ RMB/month According to Chinese Tesla community sources and local bloggers, Tesla’s Full Self-Driving (FSD) is currently undergoing regulatory approval in China, with a potential full-scale rollout targeted for August 2026. This information should be treated as a high-confidence rumor, as there has been no official confirmation. Two key points stand out. First, the approval process appears to be aimed at broad deployment rather than limited testing, suggesting meaningful progress within China’s strict autonomous driving regulatory framework. Second, Tesla may skip V13 and directly introduce FSD V14, likely to better handle the complexity of Chinese driving environments with the latest stack. In addition, Tesla is expected to transition from a one-time purchase model to a subscription-based model, with pricing potentially exceeding 600 RMB per month, referencing the $99/month pricing in overseas markets. This indicates a broader shift toward positioning FSD as a continuously improving AI-driven service, rather than a static software feature.

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Dirty Tesla
Dirty Tesla@DirtyTesLa·
@mweinbach 👎 Use this as the dislike button if you don't have it yet
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Max Weinbach
Max Weinbach@mweinbach·
Dislikes are here
Max Weinbach tweet media
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The Humanoid Hub
The Humanoid Hub@TheHumanoidHub·
Ashok Elluswamy, Tesla's AI lead, during a GTC discussion, highlighting the fundamental similarity in AI approaches for self-driving cars and humanoid robots: - Hierarchical decision making is useful, but it has to be done as part of the same decision-making process as lower-level controls. - We haven't seen the long tail of humanoid robotics, but Tesla has seen the long tail of self-driving, where high and low-level decisions have to be jointly made at a pretty high framerate. - Optimus's architecture is designed in a similar way, where there's a hierarchy but it's all running as part of the same model and the latencies involved in decision making are well modeled. - This architecture will scale quite well with humanoid robots. - The distinction of the decision-making levels is only in the developer's mind. For the model, it's a continuous space of decision making, where there are dials available to make them more fine or coarse. - Humanoids have more sensor modalities and higher degrees of freedom compared to self-driving, but the fundamental constraints remain the same: you need to make real-time decisions. There's obviously a hierarchy to these control signal outputs, but the lowest frequency cannot be too low, because the safety of the robot cannot depend upon things running at very low frequencies.
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phil beisel
phil beisel@pbeisel·
Tesla’s forthcoming AI5 uses a half-reticle design, which is crucial for yield. A reticle defines the imaging area of a lithography machine, fitting two chips per shot effectively doubles yield. This means the Tesla chip design team had to carefully manage die features, for instance dropping the older ISP (and classic GPU) to make room for more AI cores. By contrast, NVIDIA’s Blackwell fills nearly a full reticle, making it a single-reticle design. If Tesla hits its compute and efficiency targets with AI5 in this half-reticle format, it’s almost like cutting fab requirements in half. And this has a big impact on Terafab, especially if it carries forward for AI6, AI7, etc.
phil beisel tweet media
phil beisel@pbeisel

Terafab may be the most essential vertical integration Tesla has ever undertaken— and it is truly non-optional. It will take years to build and will test even Elon’s speedrunning abilities to the limit, but that won’t stop him from trying. The breakthrough likely lies in overhauling the overall facility’s cleanroom model. By moving wafers in sealed pods with localized micro-environments, the fab no longer needs a monolithic ultra-clean space. Elon’s line about “eating cheeseburgers and smoking cigars” on the fab floor isn’t silly, it’s the practical reality of a radically simpler, cheaper, faster approach that could finally change the economics of chipmaking. This is all forced by the brutal “pinch” in chip supply. Tesla must produce on the order of 100–200 billion AI chips per year just to saturate its roadmap. That volume powers: FSD cars & Robotaxis (tens of millions of vehicles needing AI5 inference for near-perfect autonomy), Physical Optimus (scaling from thousands today to millions per year, each requiring AI5/AI6-level compute), Digital Optimus (the new xAI-Tesla software agents for digital/office automation, running massive inference clusters), Space-based data centers (AI7/Dojo3 orbital compute for GW-scale training and inference beyond Earth limits). AI5 delivers the ~10× leap for vehicles and early robots; AI6 shifts focus to Optimus + terrestrial DCs; AI7 goes orbital. No external foundry (TSMC, Samsung, etc.) can deliver that scale or timeline— hence the Terafab launch. Without it, the entire robotics + autonomy future hits a brick wall. Terafab isn’t optional; it’s the only way forward.

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faultbugs
faultbugs@faultbugs·
@NotATeslaApp @elonmusk The key point is not Grok ,but is all vehichels can use advance Voice assist.Currently, in China, only AI 4 can use it. That is what they need to do. Make HW 3 great again!
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Yun-Ta Tsai
Yun-Ta Tsai@yunta_tsai·
Even people in Lamborghinis turned their heads at the Cybercab. The radiant magic is like the golden ticket from Charlie’s Chocolate Factory that inspires wild imagination.
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SETI Park
SETI Park@seti_park·
과장해서 말하자면 반도체 제조공정은 “과학”이라면, 배터리 제조공정은 “예술”이라고 할 수 있지 않을까 싶습니다. 신약 개발이나 고분자 합성 해보신 분들이면 아실겁니다. 화학 분야는 “손 맛”이라는 것이 존재한다는 것을요. 🤣🤣🤣
SETI Park tweet media
SETI Park@seti_park

Elon Musk의 Terafab 선언 이후 배터리 vs 반도체 기술 난이도 논쟁이 활발해진 것 같습니다. 제 생각을 하나 얹다면, 두 분야는 주도하는 기술 분야의 특성이 달라, 각각 서로 다른 난점이 있다고 생각합니다. 배터리 제조과정의 경우, 화학적 특성이 주도한다고 생각합니다. 양극재 소성이나 전해질 주입, 활성화 공정 등에서 일어나는 화학적 반응은 ‘브라운 운동’처럼 불규칙하고 창발적으로 진행되는 경향이 있습니다. 반면 마스크를 통한 증착, 노광 및 식각 공정 등으로 진행되는 반도체 제조과정의 경우, 전자적 특성이 주도한다고 생각합니다. 즉, 반도체 공정은 훨씬 세밀한 공정을 요하지만, (배터리 제조공정에 비해) 통제가 용이하며, 불확실성이 적다고 생각합니다. 이러한 특성들을 고려할 때, 저는 Elon Musk는 배터리 보다는 반도체에 더 fit 하며, 따라서 만약 Terafab을 실제로 진행한다면, 건식 4680 프로젝트 보다는 시행착오를 덜 겪을 것이라고 생각하고 있습니다. 물리학에 기반한 제1원칙(First Principles) 사고방식을 가지고 있는 Elon Musk에게는 Random하고 Chaotic한 Chemical world 보다는 Control 가능한 Electronic world가 더 어울린다고 생각하기 때문입니다. 😉

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𝐶ℎ𝑎𝑟𝑙𝑒𝑠
日本在1月之后调整的EV购车补贴,除了比亚迪和大众,其他厂商都有不同程度的上调。 身在日本的王局不得抗议几句?
𝐶ℎ𝑎𝑟𝑙𝑒𝑠 tweet media
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faultbugs
faultbugs@faultbugs·
我都快忘了,这哥们本身就是卖激光雷达的🤣🤣🤣
faultbugs tweet media
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faultbugs
faultbugs@faultbugs·
从特斯拉出名的David,这么快就接商单了??? @CharlesXBoy
faultbugs tweet media
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faultbugs
faultbugs@faultbugs·
@thejefflutz The key point: It is scripted behavior instead of autonomy.
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faultbugs
faultbugs@faultbugs·
@pbeisel Digital Optimus could be Tesla’s local-first, cloud-light equivalent of OpenClaw, purpose-built for automotive edge computing devices. You can read what I wrote a couple of days before.
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phil beisel
phil beisel@pbeisel·
Terafab may be the most essential vertical integration Tesla has ever undertaken— and it is truly non-optional. It will take years to build and will test even Elon’s speedrunning abilities to the limit, but that won’t stop him from trying. The breakthrough likely lies in overhauling the overall facility’s cleanroom model. By moving wafers in sealed pods with localized micro-environments, the fab no longer needs a monolithic ultra-clean space. Elon’s line about “eating cheeseburgers and smoking cigars” on the fab floor isn’t silly, it’s the practical reality of a radically simpler, cheaper, faster approach that could finally change the economics of chipmaking. This is all forced by the brutal “pinch” in chip supply. Tesla must produce on the order of 100–200 billion AI chips per year just to saturate its roadmap. That volume powers: FSD cars & Robotaxis (tens of millions of vehicles needing AI5 inference for near-perfect autonomy), Physical Optimus (scaling from thousands today to millions per year, each requiring AI5/AI6-level compute), Digital Optimus (the new xAI-Tesla software agents for digital/office automation, running massive inference clusters), Space-based data centers (AI7/Dojo3 orbital compute for GW-scale training and inference beyond Earth limits). AI5 delivers the ~10× leap for vehicles and early robots; AI6 shifts focus to Optimus + terrestrial DCs; AI7 goes orbital. No external foundry (TSMC, Samsung, etc.) can deliver that scale or timeline— hence the Terafab launch. Without it, the entire robotics + autonomy future hits a brick wall. Terafab isn’t optional; it’s the only way forward.
phil beisel tweet media
Elon Musk@elonmusk

Terafab Project launches in 7 days

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