Neelendra Nath

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Neelendra Nath

Neelendra Nath

@neelendranath

Traveler. Storyteller. Entrepreneur. 🌏✈️ 58 Countries Thinking, Designing, Building | #Mumbai #London #Patna 🇮🇳/acc

Mumbai, India Katılım Haziran 2009
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Neelendra Nath
Neelendra Nath@neelendranath·
Everyone who fights a monster isn't a hero. More often than not, it's the monsters who keep fighting each other.
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Luccas
Luccas@Shery_cricket·
A girl in our class had millions of followers and reminded everyone about it every single day. One of the boys asked her once what she actually wanted to do after school. She laughed and said: “I already make more money than your parents.” Everyone awkwardly laughed except one quiet dude in the corner. Later that semester, the teacher paired them together for a business competition. She spent the whole week filming TikToks while he handled everything himself. On presentation day, the judges loved the project. They asked who created the financial plan and marketing strategy. Before the quiet guy could answer, she smiled and said: “We both worked on it equally.” The quiet guy looked confused for a second… then calmly opened the edit history on the screen. Her name appeared exactly zero times. The judges stared at her. The class started whispering. Then he said: “Her biggest contribution was choosing the font.” The room exploded laughing while she sat there speechless.
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Bhargavi
Bhargavi@bhargavizaveri·
India is desperate for stable foreign capital. INR is in a virtual free fall. Yet, there is an *absurd* bottleneck nobody talks about: the RBI’s FIRMS portal — mandatory for FC-GPR filings and therefore for receiving FDI share capital — has been down for weeks. As a result, inward remittances for legitimate equity investments into Indian companies are getting stuck because founders literally cannot complete regulatory filings. At a moment when the country needs every dollar of productive FDI it can attract, this is exactly the kind of invisible bureaucratic friction India should not be imposing on itself. @RBI @RBIsays @NITIAyog @nsitharaman
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Neelendra Nath
Neelendra Nath@neelendranath·
First time in San Francisco and now I get it why they say what they about this place. The energy is palpable.
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Neelendra Nath
Neelendra Nath@neelendranath·
@ChandanRaj_ASIC Congratulations @ChandanRaj_ASIC ! Been following your journey for sometime, and remember the challenges you were facing with local infrastructure and administration. You have really come a long way. Good luck for the future!
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Chandan Raj
Chandan Raj@ChandanRaj_ASIC·
🌍 From Muzaffarpur (Bihar) to the world! Proud to share that Suresh Chips and Semiconductor has delivered and continues to power cutting-edge projects across the USA, UK, Netherlands, Ireland, Germany, Singapore, China & Taiwan. Global vision, rooted in Bihar. 🇮🇳
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Anish Moonka
Anish Moonka@anishmoonka·
There's a clay tablet with the founding charter of a 12-partner company on it. Twelve merchants pooled 33 pounds of gold to start the firm. The contract has the partner names, the starting capital, the profit split, and the penalty for cashing out early. The tablet is nearly 4,000 years old. It was found at a site called Kanesh, in central Turkey. Archaeologists have dug up 23,500 of these clay records there, most of them business documents: receipts, loan contracts, shipping orders, lawsuits. The houses they were stored in eventually burned. The fire baked the clay solid and preserved every record. The merchants came from Assur, in modern-day Iraq. They loaded donkeys with tin and cloth and walked them 1,000 kilometers across mountain passes to Kanesh, roughly the distance from New York to Atlanta. Each donkey carried about 180 pounds and the trip took two to three months. They came home with silver and gold. The company ran for twelve years under a merchant named Amur Ishtar. A third of the profits went back to the investors. Pull your share out early and the firm gave you four kilos of silver per kilo of gold, half the normal rate. Locked-up money was meant to stay locked up. That one company was just a tiny piece. The tablets show a complete economy with partners suing each other in commercial court, husbands writing home about prices, and wives writing back complaining the husband had been gone too long. A woman named Ahatum quietly lent silver to four different men over nine years. People bought up other people's loan documents and used them as collateral for new loans, the same thing Wall Street does today with mortgage-backed securities. One merchant got caught smuggling tin in his underwear to dodge a 10% import tax. In 2019, four economists from Harvard, Sciences Po, Chicago, and Virginia ran the tablet numbers through a gravity model, the math economists use today to predict how much two countries will trade based on size and distance. The Bronze Age numbers matched modern trade numbers almost exactly. Trade fell off with distance at nearly the same rate it does between countries today. The paper ran in the Quarterly Journal of Economics. There was no economic theory yet. The idea didn't even have a name. The word "capitalism" wouldn't be coined for another 3,800 years, and Adam Smith was 3,700 years away from writing a sentence about markets. Just a guy named Pushu-ken writing a clay tablet to his business partner about a shipment of cloth, and a woman in Assur recording who owed her how much silver. Capitalism was already there, doing its full job, almost four thousand years before anyone wrote down a theory of how it worked.
Hayek-Club Weimar@WeimarClub

Niemand hat den "Kapitalismus" erfunden. Kapitalismus ist das, was freie Menschen von Natur aus tun - Waren und Dienstleistungen zu ihrem eigenen Vorteil tauschen.

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Neelendra Nath
Neelendra Nath@neelendranath·
Some journeys kill the joy of arriving. Especially, if the journey includes a 15 hour long flight after a 7 hour layover. Hello New York!
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Neelendra Nath
Neelendra Nath@neelendranath·
How is this not called Dragon Fruit?
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Narendra Modi
Narendra Modi@narendramodi·
Today, India takes a defining step in its civil nuclear journey, advancing the second stage of its nuclear programme. The indigenously designed and built Prototype Fast Breeder Reactor at Kalpakkam has attained criticality. This advanced reactor, capable of producing more fuel than it consumes, reflects the depth of our scientific capability and the strength of our engineering enterprise. It is a decisive step towards harnessing our vast thorium reserves in the third stage of the programme. A proud moment for India. Congratulations to our scientists and engineers.
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Rahul Sagar
Rahul Sagar@rahulsagar·
How many times the term "propaganda" appears in the @Wikipedia entry for Dhurandhar 2 25 Wolf Warrior 2 3 Top Gun: Maverick 1
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Neelendra Nath
Neelendra Nath@neelendranath·
While it is aesthetically pleasing, the teaser of Namit Malhotra's Ramayana lacks soul. It doesn't excite, doesn't make you want to watch more or look forward to more teasers & trailers.
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Zaffar 🇮🇳
Zaffar 🇮🇳@Zaffar_Nama·
You will not believe it but I knew about Jameel Jamali's reality right from Dhurandhar 1. The way he looked back at Hamza for the first time while he was putting on his slippers in his car, I knew he was hiding it.
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Andy Masley
Andy Masley@AndyMasley·
Each frontier AI model seems to use a little under a year's worth of a square mile of farmland's water to train. I think about this as the country having 4 square miles of farmland sectioned off to grow some of the most popular consumer products in history.
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Guillermo Rauch
Guillermo Rauch@rauchg·
Obsession is the mother of invention
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Aakash Gupta
Aakash Gupta@aakashgupta·
We’re spending $200B+ a year on data centers to power AI. One company raised $11M, grew human brain cells on a chip, and the cells taught themselves to play a 3D shooter in a week. Cortical Labs grew 200,000 human neurons on a silicon chip and taught them to play Doom. The cells navigate, target enemies, and fire weapons in real time. Their previous game, Pong, took 18 months on older hardware. Doom took a week. An independent developer with zero biotech experience built the integration using a Python API. The neurons did the rest. That compression from 18 months to one week tells you everything about where this is going. Here’s what the “can it run Doom” crowd is missing: each CL1 unit costs $35,000. A full 30-unit server rack draws 850 to 1,000 watts total. Your brain runs on 20 watts. A single GPU cluster training an LLM can draw megawatts. The energy economics of biological compute are orders of magnitude better than silicon, and that gap scales. The investor list tells you who’s paying attention. Horizons Ventures, Blackbird, and In-Q-Tel, the CIA’s venture arm. In-Q-Tel doesn’t fund science projects. They fund intelligence infrastructure. 115 units started shipping in 2025. Cortical Labs is now selling “Wetware-as-a-Service” through the Cortical Cloud. Developers can deploy code to living neurons remotely without touching a lab. They’re pricing access at the level of a software subscription while the hardware runs on real human brain cells derived from adult skin and blood samples. The Doom demo is marketing. The platform play is a bet that biological neurons will eventually outperform silicon at exactly the tasks AI struggles with most: real-time adaptation under uncertainty, learning from minimal data, and processing ambiguity without brute-force compute. The question was never “can it run Doom.” The question is what happens when it can run everything else.
Curiosity@CuriosityonX

🚨: A petri dish of human brain cells just learned to play DOOM

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Neelendra Nath
Neelendra Nath@neelendranath·
AI won't take the job the way 'taking your job' is perceived. But, it will make it possible to have 15 hour weeks. So, if you are not able to productively utilise the remaining 25 hours, you indeed are staring at joblessness.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Citadel Securities published this graph showing a strange phenomenon. Job postings for software engineers are actually seeing a massive spike. Classic example of the Jevons paradox. When AI makes coding cheaper, companies actually may need a lot more software engineers, not fewer. When software is cheaper to build, companies naturally want to build a lot more of it. Businesses are now putting software into industries and tools where it was simply too expensive before. --- Chart from citadelsecurities .com/news-and-insights/2026-global-intelligence-crisis/
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