BitG 🧲

@cz_binance @0xBanez x.com/bitg_meme/stat…

@0xBanez 👍😁

变0了，响应速度还是很快的

Physically accurate simulations allow Tesla to generate countless variations, test different reward functions, and iterate rapidly at scale in reinforcement learning (RL). This is the core advantage of Tesla's approximately 100,000 H100 computing cards in its Cortex cluster—capable of running massive real-time simulations of all eight cameras in parallel, a feat unmatched by other companies. Tesla's strategy is clever: Real-world fleet data: Discovering and collecting key long-tail scenarios High-performance simulations: Safely, frequently, and on a large scale, training on hazardous/rare scenarios

Simulation is used to reproduce extremely rare or dangerous scenarios where we don’t have enough data, despite millions of cars on the road. For example: you’re driving down a narrow two-lane road when a pedestrian trips and falls into the road. The right decision is to slow down as much as possible and choose a glancing impact into the oncoming car, rather than run over and kill the pedestrian. This is the classic Trolley Problem, but with a vast number of variations.

If you want to know who has a chance to compete with FSD, apart from the nasty quantization tail that can only be solved with Hardware In the Loop for training, you should also look at the compute. Elon mentioned that you need one H100 to simulate one HD camera at real-time speed. That translates to eight H100s for the complete system. Simulation is necessary for Reinforcement Learning (RL), one of the most potent methods for training a neural network. Tesla has roughly 100,000 H100s available in Cortex. This is enough to simulate 12,500 full eight-camera systems in parallel. This is the best-case scenario, excluding gradient descent and all other overhead. Assuming the average driving speed of simulated scenarios is 50 km/h, you can simulate about 100 million km per week. However, you need to run each scenario several times — once per gradient descent iteration (or epoch). So if you assume 100 epochs (a reasonable ballpark guesstimate), you are down to 1 million km of RL training per week. If you want to reach superhuman safety, you need to train over several million kilometers. Considering you will need many iterations to add new scenarios, improve the reward function, try different network architectures, etc., you cannot get this done within a reasonable time if you do not have this amount of compute. Only Tesla has it. Nobody else is close. PS: To avoid any misunderstanding, I want to stress that I do not mean that millions of kilometers of data capture are enough to develop FSD. You need billions of miles captured by your fleet to discover the critical scenarios needed to train FSD (I explained that in a previous article).

@cz_binance @0xTraderYi x.com/bitg_meme/stat…

@0xTraderYi 刚听说另外那哥们也老早就IPO一个公司了。这三个人财神歌唱的。。。👍

能把两个币圈千亿老板玩成这样， 涂磊也是牛逼的 孙宇晨那时候天庭还没那么饱满， 现在的他天庭饱满，面相相当的富贵。 是不是偷偷去打了玻尿酸做了医美

@tetsuoai It could indeed significantly improve accessibility to mental health services, especially for patients who have difficulty booking appointments with doctors or face high costs.

AI can now prescribe psych meds in Utah. ArthurMacwaters and Legion Health turned something that looked regulatorily impossible into a $19/month reality. That could expand mental health access for tens of millions of people.

@elonmusk @sbarna @ianmSC @ShineboxHukster The real battle has just begun; we must continue to eliminate these cancers without the slightest slackening.

@sbarna @ianmSC @ShineboxHukster True

One of the funniest things I’ve ever read is people saying “woke is dead” Woke is not dead. It is embedded in every institution, the entire education system, and much of the judiciary. And it is thriving. Religions do not die just because of one political setback.

@jiamingqiu369 @heyibinance @cz_binance

@BitG_MEME @heyibinance @heyibinance @cz_binance 大快人心

@mayemusk @grok I really love Maye's book 📖, "人生由我," which I've read three times already. I'm looking forward to Mom's new book, "永恒." I think it will definitely help even more women after it's published. 0xb16a14a4b814739d4430875b7ab9a687398a4444 @mayemusk

Thank you to my CAA China agents for a wonderful tour of a small part of the Great Wall of China 😍😍 It was absolutely amazing to see the vast fortifications, watchtowers and fortresses. The wall stretches over 13,000 miles. You can read all about it on @grok . Also, how do you like the Great Wall ice cream? 😋

@mayemusk @grok I really love Maye's book 📖, "人生由我," which I've read three times already. I'm looking forward to Mom's new book, "永恒." I think it will definitely help even more women after it's published. 0xb16a14a4b814739d4430875b7ab9a687398a4444 @mayemusk

@cz_binance @carriexinhen @0xTraderYi x.com/BitG_MEME/stat…

@carriexinhen @0xTraderYi 🤣👍

@Leonard_Aster 🥷

You can now build on Aster permissionlessly, leverage the private infrastructure and liquidity. Join list of great builders that are already building on Aster.

“币安的本质是三件事：第一是做出好产品，第二是服务好用户和员工，第三是做好与监管的沟通。” - @heyibinance #Binance #BNB

@cz_binance x.com/cz_binance/sta… Space exploration shall be funded globally using #crypto. Investors shall have their names inked on the blockchain. @cz_binance #Binance  #BNB

You can safely assume anyone who claims to be able to help you list your project on Binance (CEX) is a SCAMMER, especially if they say they know CZ or is a good friend, etc. 99.999% of the time, I don't know them. If I do, I will put them on a blacklist. Stay SAFU! 🙏

Space exploration shall be funded globally using #crypto. Investors shall have their names inked on the blockchain. @cz_binance #Binance #BNB

0xf9f54bc46b532b551b96ce28df8a7edef65d4444 SpaceXcoin ？