For now , Bring Japanese TBM manufacturers to India for local assembly and technology transfer. For future & Long term : Fund BEML to fast-track indigenous TBM development This was inevitable; our shortsightedness was failing to anticipate it and build alternatives in advance.

China is rolling out even more export controls. Just days after draft export controls on AI, biotech, and solar, China is now adding or updating export controls on dual-use items: - Drones - Construction machinery - Dredging equipment

Datacenters 2027: The Year of Acceleration, +50GW in a Single Year 60GW Under Construction, SemiAnalysis Leading Indicators, 1.3T of Lease Contracts Signed YTD, The Shortage Could Move to Chips newsletter.semianalysis.com/…

Indian Startup IPOs: How They've Done 2026 🟢 Shadowfax: +133% 🟢 Kissht: +103% 🟢 Moneyview: +75% 🟢 Amagi: +58% 🟢 Rentomojo: +44% 🟢 Shiprocket: +34% 🟢 Aye Finance: +19% 🔴 Purple Style Labs: -6% 🔴 Fractal: -18% 🔴 AceVector: -22% 🔴 Turtlemint: -56% 2025 🟢 Ather Energy: +358% 🟢 Meesho: +105% 🟢 Groww: +101% 🟢 Lenskart: +61% 🟢 Urban Company: +54% 🟢 BlueStone: +51% 🟢 PhysicsWallah: +23% 🔴 Capillary: -5% 🔴 Pine Labs: -25% 🔴 Wakefit: -29% 🔴 ArisInfra: -35% 2024 🟢 BlackBuck: +118% 🟢 TBO Tek: +77% 🟢 ixigo: +55% 🟢 Go Digit: +5% 🔴 MobiKwik: -18% 🔴 Unicommerce: -23% 🔴 Swiggy: -40% 🔴 Ola Electric: -53% 🔴 FirstCry: -62% 2023 🟢 Honasa: +40% 🟢 ideaForge: +9% 🟢 Zaggle: +3% 🔴 Yatra: -32% 2022 🔴 Delhivery: -16% 🔴 Tracxn: -60% 2021 🟢 Eternal: +328% 🟢 Nazara: +204% 🟢 RateGain: +95% 🟢 CarTrade: +86% 🟢 Nykaa: +84% 🟢 PB Fintech: +9% 🔴 EaseMyTrip: -3% 🔴 MapmyIndia: -12% 🔴 Paytm: -21% Before 2021 🟢 Info Edge, 2006: +7,807% 🟢 IndiaMart, 2019: +234% 🟢 Justdial, 2013: +35% 🔴 Matrimony, 2017: -45% 30 of 50 are green! Return from IPO issue price to NSE closing price on 16 Oct 2026, adjusted for bonus issues, splits and rights issues. Source: NSE.

Hegseth on China: The single largest buildup in modern history, but maybe in world history, is what China is building out in the Pacific. Every single day, we're ensuring that our department is prepared to deter any change in the status quo that they might want to have on the first island chain or the second island chain or the South China Sea or in the Pacific.

BREAKING 🚨: China Chinese Stock Market has now traded red for 10 consecutive weeks, its longest losing streak in history 📉 📉

“All of this is going to pass.” -Jensen Huang yesterday $NVDA

Ben Horowitz: “The most dangerous thing going on in AI is Anthropic and Bill Gates” “Anybody can go say, ‘AI is going to kill us,’ and you'll be on every major news station and every newspaper and so forth. I think it's extremely dangerous, though, when it comes from Bill Gates because he is so credible, because he did build Microsoft, and people think of him that way, and then certainly he's been a big political donor, so he has a lot of political juice, particularly on the Democratic side. The big risk that everybody talks about is that the models are going to recursively self-improve, and then they're going to take off, and then they're going to become so smart and run away from us. Well, what would be the preconditions for that? Ali Ghodsi from Databricks had a great formulation of, ‘Well, what would be the preconditions for that?’ And he had four preconditions. One is that the next model has to require fewer GPUs than the last. The second thing is the next model has to take less time to train. And then the accuracy of the next model has to be better than the last, so it's got to be a better model. And then finally, it's gotta keep happening again and again and again. Zero of those four have been met. We're not on track for any of those four to be met, and so we're really talking about a risk that's entirely theoretical at this point that we're not mapping to.”

JP Morgan calls for a re-rating in memory stocks: - The memory S/D inbalance is deepening - Rising AI/hyperscalers CAPEX - Rising HBM content per AI accelerator - HBM/DRAM wafer tradeoff becoming steeper with HBM4E consuming 4x more wafers per bit than DRAM - SCA/lTA framework is significantly improving the forward visibility for memory producers Just observe how cheap the Memory Big 3 have become: Samsung: 2.99x FY2027 earnings SK hynix: 2.72x FY2027 earnings Micron $MU: 4.96x FY2027 earnings Samsung and SK hynix are trading BELOW 3x next year's earnings, that is quite insane. Why? Is 2028 going to be a horrible year compared to 2027? No, 2028 profits will be even higher than 2027. What about 2029, will that year become horrible then? Nope, profits may moderate a bit but there is no sign of any earnings collapse with AI demand continuing to rise. $MU $SKHY $SNDK $005930.KS $DRAM

Anthropic co-founder Jack Clark tells the IMF the world is about to go from 10 million scientists to 10 billion (almost all virtual): “According to UNESCO estimates, there are approximately 10 million scientists in the world. And even with only 10 million scientists, we have too few humans to oversee the work of today, too few laboratories to do material science analysis, too few biological labs to develop and test new drugs, and too few large pieces of scientific equipment in space or on the Earth for the experiments we want to run. "Tell me what happens when instead of 10 million scientists, we have a billion virtual scientists directed by our own 10 million. Or 10 billion [virtual scientists]. That's the world predictably coming right for us. And we have to get ready. If we do get ready, we are going to be in a better position to translate the intelligence of AI systems into gains for us all. You know, longer, healthier lives, more energy, more food, more wealth.”

₹3,300 crore. 6 million chips/day. $31M (₹300 Cr) FY27 revenue target. 𓇲🇮🇳 Fabs take half a decade to pour silicon. Advanced packaging delivers commercial cash flow in months. 🌐 Kaynes Technology’s pivot from EMS into OSAT is an inflection point for India’s semiconductor roadmap: • Commercial velocity: Sanand plant targeting ₹300 crore by FY27, focused on automotive, industrial power, and EV. • Scale: Capacity to process 6 million chips per day under ISM 1.0. • The foreign tech reality: CEO Raghu Panicker’s candid assessment: climbing from standard assembly to advanced packaging requires technology transfers and tier-1 global equipment partnerships. Three takeaways: 1. OSAT is the pragmatic beachhead: Greenfield fabs dominate headlines. Advanced packaging (heterogeneous integration, multi-chip modules) defines real competitiveness. OSAT delivers yield experience, customer qualification, and revenue without multi-year gestation. 2. Domestic demand de-risks capacity: Unlike pure export hubs, India has captive pull from EV powertrains, smart meters, grid digitization, and industrial automation. 3. Capital is local. Know-how is global: PLI and domestic balance sheets fund the plants. Packaging yields require deep process mastery. Strategic foreign partnerships aren’t a compromise, they compress the learning curve by a decade. Deeptech sovereignty isn’t built in isolation. It’s won by mastering packaging execution and embedding into global supply chains. @kaynes_tech @kaynessemicon @AshwiniVaishnaw @SemiconIndia By @ananta__agarwal #Semiconductors #MakeInIndia #DeepTech #OSAT #ISM Article below...👇

24GW for datacenters in just China is insane. That's almost as much as Europe, the Middle East, Africa, and the rest of the Asia-Pacific combined The US is still over twice that at 56GW but buildouts here take >2x as long (China is doing <12 mo for 100MW) and we have almost <3x China's power capacity, which is a gap that's much harder to close

China is building around 69 power semiconductor fabs (under construction, planned, or ramping) across 58 suppliers 15 are planned, 29 are under construction, and 25 are ramping up production

We went from: > Anthropic could wipe out humanity > Astra is AGI > Software is worthless To: > AI isn’t even that useful > Anthropic’s growth is disappointing > OpenAI has zero moat In like a month. Crazy how the human mind works, huh?