Sainath 🇮🇳

Happy 16th Birthday @sachin_rt @ChemzPrashi @san2787

Happy birthday Sachin Tendulkar. Nothing can truly capture the immense burden he has borne for over two decades & the unbelievable following he has around the world. But this prize winning picture by Atul Kamble of him walking out at the Wankhede for his last test innings comes pretty close!

The West poured $50 billion into fast breeder nuclear reactors and abandoned every single one. India poured $900 million and just achieved criticality on the first commercially viable one outside Russia. The US spent $15 billion. Gave up. Japan spent $12 billion. Their Monju prototype had one sodium fire in 1995 and never recovered. The UK spent $8 billion. Germany spent $6 billion. France, Italy, all walked away. Six of the richest nations on Earth concluded this technology was too hard and too expensive to pursue. India started building in 2004 with an initial budget of $420 million. Twenty-two years, a dozen missed deadlines, and a cost doubling later, the Prototype Fast Breeder Reactor at Kalpakkam just sustained a controlled fission chain reaction. The reactor is now alive. The reason India never quit is a constraint most people have never thought about. India has only 1-2% of the world's uranium reserves. For a country of 1.4 billion people trying to build energy independence, that's a death sentence if you're running conventional nuclear. But India has 25% of the world's thorium. The single largest national reserve on Earth. The problem: you can't just burn thorium the way you burn uranium. A physicist named Homi Bhabha designed a three-stage nuclear program in the 1950s specifically to solve this. Stage 1: burn natural uranium in heavy water reactors, collect plutonium as a byproduct. Stage 2: feed that plutonium into fast breeder reactors, where it breeds MORE plutonium AND converts thorium into fissile uranium-233. Stage 3: burn thorium directly at scale. India just entered Stage 2. Seventy years after Bhabha drew it up on paper. The math on the thorium endgame is wild. At current energy consumption rates, India's thorium reserves could power the country for over 700 years. Most nuclear nations are playing a uranium game with maybe 80-100 years of runway. India is playing a completely different game with a 7x longer fuel supply. The West quit because uranium stayed cheap and sodium coolant is terrifying. It catches fire on contact with air. It explodes on contact with water. Russia's BN-600 had 27 sodium leaks and 14 sodium fires between 1980 and 1997. And Russia kept going anyway because Russia doesn't quit nuclear projects. India watched all of that and kept going too. When you have 1% of the uranium but 25% of the thorium, the engineering difficulty stops being a reason to quit. It becomes the price of admission to a 700-year energy supply that nobody else can access.

Reminds me of the old BSNL broadband days when high-speed internet was only available between 2:00 AM - 8:00 AM.

@chadwahl @eliano @christjine @MarketWatch Ontology and FDE are easy words to borrow. Much harder to make them behave like a real system.

This might be one of our greatest inventions not only for the unique output we create but the legions of copycats that are destined to fail because they think they can just copy without the culture, tech, and product that it requires. Most would be better off being original than trying to copy.

A deep dive on Palantir’s FDEs by @christjine was published yesterday in @MarketWatch “For years, the rest of Silicon Valley dismissed the FDE role as an unserious gig. Investors shared this opinion, arguing that Palantir was more of a glorified consultancy than a legitimate tech company…. Now companies are looking to copy Palantir’s approach. Revered today as the “hottest” job in tech, the FDE title is plastered across job boards and employed by companies ranging from AI startups to software-as-a-service behemoths racing to carve out their sphere of influence in the burgeoning enterprise-AI market.” marketwatch.com/story/palantir…

@chadwahl @ygorz01 That is interesting. Almost feels like ontology solved the hard part early, and models just made that layer much more powerful.

@icyanide9 @ygorz01 We have been doing AI with the Ontology since inception. The difference now is the stochastic models vs deterministic models. Either way the ontology was the grounding mechanism and the orchestration to drive decisions.

I was in an agentcamp this week. If you thought bootcamps were a rocket ship, wait until you experience an agentcamp. The ambition is 10x.

@chadwahl @ygorz01 Was curious about this and keep thinking about it - Ontology was doing the hard part even before AI, so was it designed for this moment, or did AI just expose its importance?

@ygorz01 We use our AI FDE along with our Ontology as the backbone but we use multiple different models depending on the task, all are available in the platform.

I worked 20 years for a child sex trafficking rescue group. I want you to know this: 90% of Lost Children Are Found Within 30 Minutes. That statistic should both comfort you and wake you up. Most lost children are found quickly. But the ones who aren’t? They usually made one mistake. And here’s the uncomfortable truth: It’s often the exact thing most parents teach them. We tell our kids: “If you get lost, come find me.” It sounds logical. It sounds empowering. It’s WRONG! The Mistake Most Lost Children Make: When children realize they’re separated, they do three things almost automatically: They panic. They wander. They try to find you. Every step makes them harder to locate. From a search standpoint, movement creates chaos. Parents retrace their steps. Security scans zones. Staff lock down areas. Search works best when movement stops. When a child keeps walking, they move outside the original search radius. Helpers are looking where they were last seen — not where they’ve wandered. Stillness increases probability. Movement expands the problem. The first lesson is not “go find me.” It’s this: Stop. Stay. Yell. Why Stillness Wins: Think like a search team. If a child stays put: Parents can retrace steps. Security can scan systematically. Helpers converge to one fixed location. The search radius remains small. If a child keeps moving: The search area expands. Adults pass each other. Missed connections multiply. Minutes stretch into hours. Stillness keeps the math on your side. Teach Them Who to Approach: The second mistake we make as parents? We say, “Find an adult.” Not any adult. Not the nearest stranger. Children need a filter. Teach them to look for, if at all possible: A mother with children. Caregivers who already have kids with them are statistically among the safest people to approach in public settings. They are visible, stationary, and more likely to engage quickly. It’s a clear, concrete instruction. Children don’t process vague categories like “safe adult.” They process visuals. “Find a mom with kids” is visual. A Phone Only Helps If the Number Is Known: We often assume phones solve everything. They don’t — unless your child can use one. Even young children can memorize a 10-digit phone number with repetition. But you must train it. Practice it like a song. Sing it in the car. Chant it at bedtime. Turn it into rhythm. Repetition becomes recall. In an emergency, recall matters more than theory. The Code Word Rule: One more layer of protection. Choose a private family code word. Something only your household knows. If someone approaches and says: “Your mom sent me.” Your child asks: “What’s the code word?” No word. No go. This simple rule eliminates manipulation attempts instantly. It gives your child agency without requiring them to evaluate character. Real Safety Is Training — Not Luck! We don’t get safer by hoping. We get safer by practicing. Teach: • Phone number • Code word • Stop, stay, yell • Find a mom with kids Multiple skills. Simple instructions. Clear visuals. Five minutes of training can replace hours of panic. This isn’t about fear. It’s about preparation. Because when a child gets separated, the clock starts. And what they do in the first minute determines what the next thirty look like. That’s real protection.

@hyperindexed Crazy speed.. so hard to catch up

Hard to describe the product velocity across Palantir right now…insane 🌊

Sunil Gavaskar said, “the DJ shouting ‘Boom, Boom, Bumrah’ in between deliveries is totally unfair. In between overs it’s fine, but why do it in between the deliveries, it’s a World Cup game”.

For the next 10 years, India should completely avoid war politics and, outside of strategic defense, just focus on growth politics. Stable, steady, progressive policies for business & investment capital. We have the talent + more coming back now. Key is to avoid unforced errors.

An ex-Palantir employee once told me a harrowing story about their first assignment at the company: they were asked, with zero real experience, to go and fix a major global problem with a small team, under extreme time pressure…all with relatively little support from Palantir’s upper ranks. It sounds so lame to say “I can’t share more details,” but…I can’t! This person figured it out, solved the problem, and credited this and other similar experiences at Palantir with shaping them to an extreme degree. Palantir produces a crazy number of founders, and many have reported similar “forged in fire” stories. Ever since hearing the first story, I’ve wanted to know how the company works. Turns out a large part of the answer is @ssankar. It’s hard to describe how excited I get by a new @JeremySternLA profile. This one delivered, yet again. This isn’t about Palantir’s stock price or valuation (which, frankly, isn’t at all interesting to us). It is about a man on a mission.

Let’s understand what this team did. Meta has approximately 600,000+ GPUs. Their most junior researcher can reserve 4000 GPUs for tinkering. This team got 4000 GPUs for training, and they still pulled it off. They have proved to the world that India CAN. I keep coming back to this picture, because despite very humble beginnings, ISRO today is an institution which is globally best at what they do. This team has started with global best in its weight class. I’m excited to where we will go. Thank you team!

10-minute delivery in India isn't magic. It's really good engineering. @albinder and @letsblinkit built tech that most people never see. We went deep on how it works.

After a certain age, your parents slowly become your children. They ask simple questions, repeat stories, and depend on your patience the way you once depended on theirs. Very few understand this role reversal. What looks like innocence or inconvenience is really time coming full circle. Don’t correct them harshly. Don’t rush them. Care for them the way they once protected you. This is not a burden. It is repayment, quietly wrapped as love.

Introducing Livedocs, a general data agent The best way to analyze data with AI

Lifespan is overrated. Healthspan is what really matters. Living to 95 means nothing if your last decade is spent in decline. It’s all about how many healthy, fit, mobile years you truly get on this planet.

@PodSandy @DearS_o_n 🤣

@DearS_o_n Thank you @icyanide9 for taking this picture. It went viral now.