MKD @ 127.0.0.1 2x💉 🍉

I use 1B+ tokens a month on AI and not one rupee of it stays in India. That, not the Fable ban, is the real sovereignty problem. A sovereign model is the one layer of this entire stack we could have cloned in a weekend. Weights are downloadable; Deepseek, Kimi and GLM already proved frontier-grade intelligence is a few thousand GPU-hours and an RLHF pipeline away. The layers underneath the model - power, copper, fabrication, ports, rare earths - are where India has ZERO position, and no amount of national pride changes that. Quick recap for anyone who missed it: on 12 June the US Commerce Department slapped an export-control order on Fable 5 and Mythos 5, three days after Anthropic shipped them. It covered every foreign national, including Anthropic's own non-US staff, so the only compliant move was to kill both models globally. India is reportedly their 2nd largest market, which is why the good folks on X went crazy. 5 things are true at once, and the panic flattens them into a single grievance: 1. This is bullish for open weights, not bearish. Take one frontier lab off the board and demand doesn't vanish; it reroutes to the next lab on the pareto frontier of cost x performance. I run 10x the token volume on Deepseek as I do on Opus despite paying for the $100 Claude plan, because it gets me ~90% of the output at a 1000x less the cost. Pure Jevons paradox: token cost falls 100x, usage spikes >100x, the price elasticity of intelligence is effectively infinite. The VCs aren't the subsidy anymore; the heavy users are the revenue. 2. Every input I pay for sits outside the country. Power from US gas, solar, wind. GPUs the Taiwanese built from rare earths which China rations. Substrates and optics from Japan. Racks built by Dell and SMIC. Data centres in Texas and Virginia. My AI bill has the lowest domestic value capture of anything I buy - pure dollar outflow that leaves and never comes back. 3. Blaming Infosys and TCS for not building a lab is lazy. Vishal Sikka pointed Infosys at roughly this future and got pushed out in 2017; the forward-leaning bet left with him. With hindsight it's one of the most expensive governance calls in Indian corporate history. But it's a symptom of the incentive structure, not the cause. 4. Even with a sovereign model, it wouldn't matter. Under 100 million Indians have ever used an AI that Google doesn't serve them for free. The number willing to pay tens of dollars a month is a few million. You cannot underwrite frontier-scale capex against that base. 5. This is a sequencing problem decades deep. While the Dutch were spinning ASML out of Philips with Carl Zeiss optics, HMT was importing watch movements from Citizen and Seiko because we couldn't cut our own steel accurately. My grandparents in Calcutta queued hours, several times a week, for baby formula at the same time Shenzhen was growing its economy ten-thousand-fold in 40 years by letting free markets run; we spent the same decades dismantling a licence raj that still isn't gone.