Sandy Zhu
1.8K posts


Sandy Zhu retweetledi

🔥重磅!Tesla Semi正式量产,第一辆车已下线!
4680电池+800V架构,能耗从2降至1.7kWh/英里,运营成本仅柴油卡车的1/2至1/4。10万英里可省5-7万美元,2年内回本!
更炸裂的是:搭配Robotaxi全自动驾驶后,卡车可24小时运行,利用率提升5倍,运输成本从1.6-2美元/英里暴降至0.4-0.5美元!食品等商品运输成本占总成本10-20%,全面普及后将降至1-2%,相当于给整个经济体一次超级减税!番茄等商品落地成本有望砍掉2/3!
这不是卡车,是生产力核弹!
#TeslaSemi #Robotaxi #FSD

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@dlw20202020 现实问题是,如果不雇印度人就没有足够的利润,甚至可能竞争不过星巴克。而且Tims也早已不是加拿大公司,最大股东好像是一家巴西的公司。
中文

@LaurenceMister 那我就不看了,原本还打算致敬一下。被你这么一说,算了吧。对现在的电影真的是没脾气了!感觉钱都花在了宣传上,就没用在好好拍片上!
中文

@danielfoch 5minutes charge for 400-600km range, I am buying a bomb!
English

这个国家以及很多人欠拜登一个道歉。拜登肯定不完美,但他是一个及格的政客以及总统。
另一个嘛,别说总统了,连做人都不配。🤮🤮🤮
Adam 🇬🇧🇺🇦@Adam65207241
川普又在4月23日的直播会议中睡着了。 如果乔·拜登这么做,媒体会把它当成国家紧急事件,连续一周进行铺天盖地的恐慌报道。 但当川普这么做时,川粉就视而不见,因为这场闹剧能维持他们的收视率和钱包鼓鼓的。
中文
Sandy Zhu retweetledi

An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture.
I opened the playlist at 2am and ended up watching three of them back to back.
His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra.
Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach.
Here's the story almost nobody tells you.
Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds.
The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away.
The decision quietly changed how the world learns math.
For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb.
Strang inverted the entire curriculum.
He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood.
His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct.
The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room.
For 62 years.
The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet.
Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos.
His final lecture was in May 2023.
The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out.
His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right.
That was it. No book promotion. No farewell speech. No legacy management.
The man whose teaching is the foundation of modern AI just thanked the audience and went home.
20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge.
The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free.
The most important math course of the 21st century is sitting one click away from you. Most people will never open it.

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