Un-common sense

Just a post to explain how competitive it is at top IIMs for placements. My profile was 9/9/8 with BTech in CS from IIIT Delhi+fresher. 2 SDE Interns - Jio& a start-up, decent projects and avg ECA. Meanwhile I got 0 shortlists for consulting at IIM C in SIP not even from Big 4.

Potential 2x in 3 yrs - Wk2 This idea has the potential to go through the Munger's famous Lollapalooza effect. If stars align it can offer 6-8x also in 4-5 yrs. Has massive asymmetry of returns!

Friends need some guidance....Have to take a call for a very close relative on choosing MBA College.. Options are IIM Indore or SP Jain.. In case someone has a sense of this please guide. My own knowledge is dated so want something more relevant

Potential 2x in 3yrs-Wk3 It is the largest player in an industry where volumes grew at 15% p.a. over last 10yrs and should continue to grow 15% over the next 10yrs Essentially a structural story at a cyclical low. Stock is down ~66% from ATH. Cycle is now changing Thread👇

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.

I presented Shree Pushkar Chemicals & Fertilisers Ltd ($SPCFL) last weekend at Valuepickr Kolkata meet. Founded 1993. Evolved from dye intermediates → fully integrated chemicals + India's 5th largest SSP fertiliser manufacturer. CMP: <₹300 | Mkt Cap: <1000Cr | PE: <13x 2/N

🚨 Someone built an AI that reads candlestick charts the way GPT reads English. Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free. It's called Kronos. The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns. Every other model treats financial data like weather data. Kronos treats financial data like financial data. Here's what it does: → Price forecasting. Feed it candlesticks. It predicts where price goes next. → Volatility prediction. Forecasts how volatile an asset will be before it happens. → Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe. → 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more. → 4 model sizes. 4M params runs on a laptop. 499M for max accuracy. → Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly. Here's the wildest part: → 93% more accurate than the leading time series model → 87% more accurate than the best non-pretrained baseline → All zero-shot. No fine-tuning. Out of the box. Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year. This runs on your laptop. Few lines of Python. Free. Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face. 11.6K GitHub stars. 2.4K forks. MIT License. 100% Open Source.

In 1999, Samsung's chairman used his personal fortune to pay off Samsung Motors' debts. Why would a controlling shareholder bail out a failing subsidiary he could have let die? Economists thought this was altruism. It's not. It's math.