Terrible service from @Hitachi_India The AC service team refusing to resolve issue for months

Apt quote for financial planning

This could be the beginning of a new era in spacetech for India. Congratulations team Skyroot!

𝟭𝟯 𝗝𝘂𝗹𝘆 𝗺𝗮𝗿𝗸𝘀 𝘁𝗵𝗲 𝗯𝗶𝗿𝘁𝗵𝗱𝗮𝘆 𝗼𝗳 𝗼𝘂𝗿 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 & 𝗠𝗲𝗻𝘁𝗼𝗿, 𝗦𝗶𝗱𝗱𝗵𝗮𝗿𝘁𝗵𝗮 𝗕𝗵𝗮𝗶𝘆𝗮. Today, we celebrate his vision of empowering people with knowledge and enabling independent thinking to make more informed decisions. As a tribute, we are launching two initiatives: 🔎 𝗔𝗲𝗾𝘂𝗶𝘁𝗮𝘀 𝗟𝗲𝗻𝘀 – A knowledge app from Aequitas, created to make our knowledge and perspectives more accessible. 👩‍🎓 𝗔𝗲𝗾𝘂𝗶𝘁𝗮𝘀 𝗖𝗮𝗺𝗽𝘂𝘀 𝗖𝗘𝗢 – A student leadership initiative designed to bring financial literacy and independent thinking closer to young minds, early in their journey. Our team reflects on 𝘸𝘩𝘢𝘵 𝘩𝘦 𝘵𝘢𝘶𝘨𝘩𝘵 𝘶𝘴, 𝘸𝘩𝘢𝘵 𝘸𝘦 𝘤𝘰𝘯𝘵𝘪𝘯𝘶𝘦 𝘵𝘰 𝘭𝘪𝘷𝘦 𝘣𝘺, 𝘢𝘯𝘥 𝘸𝘩𝘢𝘵 𝘸𝘦 𝘢𝘳𝘦 𝘤𝘰𝘮𝘮𝘪𝘵𝘵𝘦𝘥 𝘵𝘰 𝘤𝘢𝘳𝘳𝘺𝘪𝘯𝘨 𝘧𝘰𝘳𝘸𝘢𝘳𝘥. To know more about Aequitas Lens & Aequitas Campus CEO, click here: cutt.ly/Eyeq52eD #CelebratingSiddhartha #TheMultibagger #TheAequitasWay

"Strive not to be a success, but rather to be of value." — Albert Einstein

Passives are the future of investing #cpc26

Here’s the world’s 2nd largest solar farm: Bhadla Solar Park 🇮🇳 ~2.25 GW ~56 km² ~10M panels ~1.4M homes powered Built fast. Fully operational. Massive scale. India isn’t slowing down—it’s scaling up. Solar isn’t limited by tech—only by will. ⚡ #Solar #Bettrification #BESS

Yesterday I was at Belapur District Court for a matter pending since 4 years - I requested permission to speak to the Hon Judge - told him that in the last 4 years we have got 49 dates and still there no progress - It was a plea to direct the police to file an FIR and investigate since Police have been acting indifferent….. he confirms he will pass the order the same day and upload - and then what do I see in evening? “Parties and Advocate Absent” and it’s postponed to May 2026. Am I missing something? @bombaybench @MLJ_GoI @indialegalmedia

India's asset management industry has quietly had one of its busiest 6-month stretches for deal activity in years. Five transactions. Multiple global buyers. And most investors still haven't connected the dots into a single thesis. Thread below.

The silent winner of Dhurandhar movie - Bookmyshow App "As Indians, we're very shy, but me and my team at Bookmyshow is bloody good at what we do. We have 25 competitors today but we’re ahead because of our focus on the Indian consumer." - Ashish Hemrajani (Bookmyshow Owner)

*"Buy on the sound of cannons, sell on the sound of trumpets" ----- Nathan Rothschild*

I’m just about to turn 65. I’ve been employed as an airline pilot for 36 years. I’m reasonably intelligent, but admittedly far from a wunderkind, and with no offers to work for the JPL or NASA. Pretty much an average guy who’s outstanding at being humble. At at age 64, I had to learn how to fly the most complex and advanced airliner currently in service, the Airbus A350. I had flown the relatively simplistic Boeing 767 for the past 25 years, and had never flown an Airbus, which is completely different in almost every way from a Boeing. I was the oldest person to attempt going through the Delta’s A350 Initial Qualification training program. I was warned that even much younger pilots were finding the training to be extremely challenging, and that because of my age, success might not be an option. It was an extremely complex airplane. The training manual is literally 7000 pages long. Countless Training videos, 6 weeks of simulators, extremely difficult electronic and oral exams. “It can’t be done, old guy”, many said. BULLSHIT! I went through the training and actually had an easy time of it. It was no more challenging than when I went through MD-11 training in 1991, at age 34, even though the A350 was a much more difficult training program. I had no decline in my learning ability in 30 years, and aced the very challenging program without any trouble. If I can maintain my ability to easily learn complex tasks into my mid-60’s, hell, anyone can. To answer the question: For some it might be age 30, or 40, or 50, etc, etc. However, everyone is different. Some people are still extremely lucid and able to learn well into their 90’s. Don’t assume. Don’t count yourself out at any age. Don’t be prejudiced against older people and sell them short, because many of them are still as sharp or even sharper than you. Treat all people well, especially older people, because in the blink of an eye you’re going to be one of them, and you’re going to love it when someone treats YOU with dignity and a little bit of respect. Credit to the respective owner ✍️

Undoubtedly the most transparent and well managed investment vehicle is the Mutual Fund

India’s top 500 companies. One majestic spread of opportunity. 🦚 Presenting Motilal Oswal Nifty 500 Index Fund — broad markets, single smart move. Invest now: tinyurl.com/3uy44bd5 #Nifty500 #IndexFund #MotilalOswalAMC

WARNING Massive AI hype being built in a sudden burst (and most of it fake) 1) A scary article: I was surprised to read a long article on Twitter (X) claiming it's just 6-12 months before a Covid-like event changes this world. It claims this will be the AI-event, where most white-collar jobs worldwide would be gone, because AI is that good now. That article got 100 M plus views. Clearly, people are spooked (naturally). So the psy-op has worked. (and I saw other similar dark articles too) 2) Suddenly many influencers are pushing the same narrative, and it so turns out that media reported many are being paid heavy sums by AI firms to push their story (that AI singularity is arriving). But if AI is "revolutionary", does it need an influencer push? No. This should be a clear signal it's hyped. 3) A correction in IT stocks' and SaaS stock's prices is suddenly creating a doom scenario about these companies dying any moment now, with second- and third-order effects on entire economy. Stock investors who haven't studied AI technicals are automatically assuming it's all over, dead, gone, finished. WRONG. NO. 4) What is the truth, and what's most likely to happen? In my opinion, based on years of observing AI trends, reading and learning AI technology, and doing AI at various levels, my take is as follows. I urge you to read this, and preserve your sanity. Please don't panic, nothing catastrophic is happening anytime soon. A) IPO pressure: AI firms are going crazy pushing their God-narrative, as many giant IPOs are lined up soon. They need public to buy their paid subscriptions or else the story goes kaput. So they are creating a false hype. It's shameful, anti-social and deeply hurtful. (Almost all AI firms released doom-scenarios just before their next funding rounds; investors who haven't learnt technology fall for it; pure FOMO. This playbook is so repetitive it's comical) B) OpenAI is spooked: Sam Altman has lost the lead he temporarily managed to build against Google and others, and now his loss-making enterprise isn't the darling of any investor any more. He's terrified. C) Elon Musk's Grok does not have the traction in consumer space anyway near what's needed to make it a profit-making entity. So with many other capex-heavy AI firms. But the GPU / TPU hungry AI ops need more capex each day, not less. It's a dead-end for most except cash rich Googles. D) Enterprise AI is patchy, lagging, slow, choppy: Anyone who has ever built a company, or run a large department, or consulted a business enterprise knows how random, undefined, tacit, and unstructured most of the real world work actually is. No way is AI ever going to replace humans doing those very complex things on a daily basis. No way. Not tomorrow, not in 10 years. NO. (I am not even beginning to get into 'regulated' industries' needs) E) Consumer AI is cool, but has limits: The more AI regular humans (of all ages) use, the more the artificiality of it becomes apparent to anyone. The novelty cannot sustain the commercial numbers needed to make AI (foundation models) profitable. OpenAI and Perplexity would never have given free tiers for most Indians otherwise. They desperately need folks to stick to this opium. F) LLMs aren't solved, Hallucinations aren't zero: The structure of any LLM is such that it will ALWAYS hallucinate, no matter how much fine-tuning humans do. In most sensitive business operations, you cannot allow LLMs to control the core data at all. Can you run an airline with a Generative AI system (LLM-based) that's 98% accurate? Can you run a precision-mfg. operation at 97% accuracy? Can you run a financial services firm with 95% accuracy? NO. NEVER. So the deterministic, old-fashioned computer software ERP will go nowhere. Nowhere at all. LLMs will be good as a top layer on those ERPs to glean insights, nothing more. [ None can 'train away' hallucinations in a probabilistic LLM model, using larger datasets. You are actually claiming I'll build a dice that lands a 4, or a 6, each time ] G) Agents aren't magical, humans aren't going anywhere: Multi-step agentic AI is being touted as the final solution where one founder sitting alone can run 100 agents and build an empire. Try doing that once, experience the frequent breakdowns, see the regular edges and new complexities, and you will realize that other than the most mundane of tasks, nothing else will be seamless. Yes, Voice AI agents are good, and many in the developing world are now deploying those, but that's hardly a cutting-edge technology that'll replace all humans. H) IT and SaaS firms are going nowhere: Ironically, the more AI happens in enterprises, the more will be the need for humans to supervised and orchestrate those bits and pieces of AI, to ensure nothing flies off the rails. The complex software code that Claude and Codex can write only changes the nature of work for the human coders who now have to check the AI code thoroughly for the many edge cases in real world. The nature of IT and SaaS work will change, some companies that can't innovate and adapt will vanish, but many new ones will emerge in their place. (Yes, there'll will be some much-deserved disruption in short-term, and the non-innovating IT firms will have deserved every bit of it) I) If IT and SaaS are dead, why are AI firms hyping: Ask this simple question - if AI is indeed killing IT and SaaS, then why are AI firms spending massive sums hyping their wares? They need spend nothing and still earn the spoils. But they know the truth. J) The China angle: Models from China - many of them open-sourced - are getting better and more competitive. Many of them are cheaper, or free (for now). OpenAI complained recently that they are stealing from American models (via "distillation"). Imagine, just imagine - OpenAI that stole entire internet work of creative work is complaining the Chinese are stealing from it. A dacoit crying that thieves broke into his house. Rich. You think these are signs of singularity? Ha! The judicial backlash on stolen content and profiteering off of it hasn't even begun in most jurisdictions. (now imagine what happens to American LLM-makers when Chinese models gain traction everywhere) K) Downside of mindless AI already visible: Take just one example: In education everywhere, students, parents and teachers are all realizing that mindless AI use is harming the process of learning, not aiding it. The sensible, guarded and limited way AI should be brought into pedagogy hasn't even been given a proper thought. Students are just doing "cognitive offloading", and turning into non-thinking beings. This is bound to collapse sooner than later. Humans as species don't learn this way - it's a long, tortuous and slow process, always. L) AI is normal technology: Serious researchers from the AI field have for years argued that AI is being hyped unnecessarily out of proportion, turned into Snake Oil like propositions, and most of AI's predictive powers are anyway not better than that of astrology. AI's ability to talk to use like humans has totally stumped normal people, and anthropomorphism has kicked in. Since no ERP talked to use like a human would, the computer revolution came about without the singularity fears. M) AI in law and judiciary: The impact will be on the grunt work. It will be cut down substantially. But no judge will outsource their cognition to AI, now will any lawyer. The fact that an LLM can read a complex document fast and summarise it means nothing if it hallucinates. And LLMs will forever hallucinate; that's their structure. (so you'll need humans to sign off on LLM outputs) N) Enterprise AI's lessons: Every company that has mindlessly gone in on AI has learnt that employees just stopped using it if it didn't adapt to the existing workflows. AI cannot magically alter anything: it can speed things up (with hallucinations), it can generate beautiful stuff (needed or not) and it can help save some time, but the company-to-company needs are so different, it cannot be force-fit on all in one shot. (that is what foundation LLM firms are trying to do). Remember: Enterprise work is not just code. It’s messy data, old legacy systems, compliance needs, multiple integrations, business context, human complexities, and more. Services firms are going nowhere. O) AI has no solutions for the human situation: Fertility rates everywhere are dropping. Humans are being converted into permanently marketable selves. Consumption comfort has made us soft, and our morality is totally adrift. AI doesn't solve any of this, it just force-multiplies most of it. We built it. It reflects what we are. 5) So what should you do? a) Read up on AI. Its technical side. How LLMs are created. What they just cannot do. What they can. Why they aren't superhuman at all. Why AI is a good but normal set of technologies. b) Think why regulated industries (at least 25) cannot hand over their future to AI, LLMs, and GenAI. c) Check the history of Indian IT and how it kept rebooting itself to suit a new era (from Y2K, to outsourcing, to SaaS backend support, to much more). d) Check how human societies eventually revolt when artificiality starts overpowering natural human interactions. e) Be prepared for more hype and nonsense. Sadly, the AI firms won't stop at it at all. They need more humans to subscribe to their paid tiers, and fear seems to be the chosen weapon. Tragic. [I am subscribed to more than 10 such paid AI tools currently, and know exactly what's good and what's not, and why no singularity is arriving] f) Adapt your work, and bits of it, to AI tools that can adjust to the workflow well. Let your discretion be supreme. g) If AI is the shiny new tap, IT is the plumbing behind it. Remember: Elon Musk's predictions have mostly gone wrong Geoffrey Hinton's predictions have gone wrong Mustafa Suleyman's predictions have gone bust Yet they keep predicting. Sad part: We are living in an age of bullshit. And LLMs are excellent bullshitting machines. The reason the AI Bros are continuing doing so is no one is holding them accountable for their nonstop lies. But what about AGI: If AGI is ever built, it won't be by any one company. The technology diffuses rapidly each day. So multiple AGIs in multiple hands. Goes without saying governments will capture (claim) that technology almost immediately. If that day ever arrives, UBI is happening too. Finally: Your brain, running on just 20 watts, continues to outthink LLMs fueled by the energy of an entire planet. Never underestimate yourself. And stop falling prey to AI hype.

Meet Professor Shivanand Mankekar. India's most Reclusive Investor. > Born in Mumbai in late 1950s in a Maharashtrian household. > Taught Financial Management at JBIMS (Jamnalal Bajaj Institute of Management Studies) Mumbai for over 30 years. > Two of his Famous students include the Billionaire banker Mr. Uday Kotak and Mrs. Chanda Kochhar (Ex-CEO ICICI Bank). > Today his disclosed portfolio is worth Rs. 2,050 Crores. Worth more than Rs.2,300 Crores in entirety. > He shot to fame when his stake in Pantaloons rose from Rs. 30 Lakhs in year 2002 to Rs. 190 Crores in 2007. > In 2012, he bought 1.02% in United Spirits for Rs. 300 Crores which he sold for Rs. 450 Crores in 2014. > Uday Kotak once spoke of Mankekar’s first lecture. “Professor asked ‘How do you value a company?’ Someone said, “By net profit”, somebody else said, “By assets”. He said, ‘All wrong. You value a company on its cash flow.’ > He bet very early on L&T, Castrol, and Sesa Goa, and later, Infosys, Wipro, and Bharti Airtel. > He stayed in a 700sqft apartment in Mahim, Mumbai while having portfolio running into thousand crores. > As per reports, Neighbours knew him only as a simple, routine-driven professor, very few had any clue about his massive investment success. > Today he and His son Kedar, who is also a professor at Welingkar College in Mumbai, invest through family owned HUF. > They believe in concentrated portfolio and pay a huge importance to ROCE and Free cash flow in a company. Truly Inspiring person. 👏🏻🙌🏻

Invest beyond borders. Two global opportunities. One launch window. The NFO for Parag Parikh IFSC S&P 500 Fund of Fund and Parag Parikh IFSC Nasdaq 100 Fund of Fund is open from 23rd February to 16th March 2026. Explore international exposure through GIFT City.

Today, we reflect on the values and principles that continue to guide our journey. On the birth anniversary of Our Founder, Late Mr. Parag Parikh, we remember his clarity of thought, long-term approach, and unwavering commitment to doing what is right for investors. His philosophy remains embedded in the way we think, invest, and serve. #FoundersDay

A good day to remember him. A small fund started in 2013 which has given us an astonishing CAGR of 19.23% since launch. There will be periods of underperformance & outperformance. We must take them in our stride as he would have. @npparikh6