A few days ago, I spoke with an older couple at a retirement community who drove their @Tesla Model Y from New Hampshire to Connecticut using FSD (Supervised) without a single intervention.
I also recently spoke with a 89-year-old woman who uses FSD for most of her driving, saying that it has had a hugely positive impact on her independence and ability to get out and do things.
Stories like these were almost unheard of not that long ago.
This week, I've seen more first-time FSD user reviews on my 𝕏 feed than ever from people who were completely blown away by it. Every week it seems that I'm reading more positive FSD reviews from the media as well.
We're also finally starting to see more and more countries get FSD (Supervised) approval.
Still a ways to go, but it really feels like FSD is going more mainstream than ever before and adoption is accelerating. Exciting times.
استفاده از AI اینقدر به آدمها خصوصاجوانترها حس/توهم دانایی و توانایی داده که دیگه یادگیری،تجربه وفهمیدن رو گذاشتن کنار.به تبعش برای کسایی که عمیقا چیزی رومیدونن یا تجربه بیشتری دارن ارزشی قائل نیستن!
البته توخالی بودن کسایی که قبل ازAIخودشون رو دانانشون میدادن هم بیتاثیرنبوده
@aafarhoodi شاید به همون دلیلی که وقتی مادربزرگ آریایی میخواد فیلترچی رو نفرین کنه؛ شکایت خودش به درگاه ایزد منان رو با ذکر اسم پروتوکل فیلتر شده، نرخ packet loss و jitter اعلام میکنه. و همچنان کسی نمیدونه چرا؟!
@AntonMartyniuk Tbh, these are basic topics from more than a decade ago. A developer who doesn't know about CTE which introduced in SQL Server 2005 would better to go and learn basics!
Train the AI behind real-world robots
We’re hiring Data Labelers to annotate images and videos to train Optimus & autonomous systems.
You’ll work with real production data & directly impact how these systems learn and operate in the real world
Come join!
https://t.co/Q0F4WY5zNy
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to several factors (completion of technical verification, regional adaptation & relevant regulatory approvals), we can't provide definitive dates at the moment, but will provide updates on a rolling basis
@ICTIRI بهتر نیست کسی که اختیار یا اجازه نظر دادن در مورد اینترنت رو داره، بیانیه بده؟!
شما حتی اجازه و شهامت اسم بردن از متولی اینترنت و قطعکنندهاش رو ندارید.
نظر شما از نظر اعتبار و اهمیت، هیچ فرقی با نظر یک شهروند زیمباوهای برای متولی اینترنت ایران نداره!
This is the moment NVIDIA should be seriously worried.
In the next couple of weeks DeepSeek V4 will be launched. It’s a direct attack on the entire AI stack that American companies have spent years locking down. Full “de-NVIDIA-ization”, a complete shift away from CUDA into Huawei’s CANN ecosystem, running on Huawei Ascend chips. That means one thing, breaking the dependency that made NVIDIA untouchable.
35x faster inference vs early versions. Nearly 3x the performance of NVIDIA’s H20 on a single card. 40% less energy consumption. Over 95% CUDA compatibility with migration times collapsing from months to hours.
Even Jensen Huang has already admitted it. If this works at scale, it’s a “terrifying outcome” for US companies.
Because here’s the real problem, this isn’t happening in isolation.
Chinese tech giants like Alibaba, ByteDance, and Tencent are already ordering hundreds of thousands of Ascend chips. Market share is shifting fast, domestic chips now at 41%, NVIDIA slipping to 55% in China’s AI server market.
Additionally DeepSeek V4 is reportedly offering API costs at a fraction of US competitors. $300 for massive workloads that would cost $2,500+ on OpenAI models, or even $5,000 on Anthropic.
So this isn’t just about one model. It’s about China building a fully independent AI stack, chips, frameworks, models, and applications. Completely outside of US control.
NVIDIA doesn’t just lose sales. It loses its grip on the global AI standard.
🚨 Elon Musk's comment on the importance of the machine that makes the machines at Tesla 🎙️
"Tesla believes strongly in making things. Apple and Google do not. It's a philosophical difference. We believe that manufacturing technology is itself subject to a tremendous amount of innovation. In fact, we believe there's more potential for innovation in manufacturing than in the design of a car—by a long shot. This is just a philosophical difference. Perhaps we are wrong. But we believe in manufacturing, and a company that values manufacturing as highly as we do will attract the best minds in manufacturing.
Our success or failure will not be because of competition. It will be our capability to make a high-quality product at a price people can afford.
To accelerate a sustainable future, Tesla had to scale up production volume as quickly as possible. That is why Tesla engineering transitioned to focus heavily on designing the machine that makes the machines—turning the factory itself into the product."
اگر به فرزندانتون اسبسواری و تیراندازی و فیلان رو یاد ندادید اشکالی نداره، ولی سر جدتون مفهوم false dilemma رو اول یاد بدید، بعد حسابی ذهنشون رو برای تحلیل درستش تمرین بدید.
في تقلّب الأحوال، علم جواهر الرجال...
کم نبودن رفاقتهای +۲۰ سالهای که با بلاک کردن تموم شدن، و برعکس تصورات قبلیم، چقدر شرافت و تعقل کالای نایابی بود بین کسانی که روزی همکلام بودیم.
چی میشه که «جان» دهها کودک، و رؤیای پرپر شدهشون رو دستمایه توجیه مطامعتون میکنید؟