Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor.
It’s happening faster than we thought, and the implications deserve greater attention. https://t.co/OVVPJO7VQx
Discussed AI, compute infrastructure, data and digital public infrastructure at the UN ECOSOC Operational Activities For Development Segment today and how the UN development system can support developing countries in harnessing these tools for sustainable development.
🇭🇰🇨🇭 For the first time ever, Hong Kong has overtaken Switzerland as the world's top wealth hub.
$2.95 trillion in offshore wealth versus Switzerland's $2.94 trillion, driven by Chinese money and a 2025 IPO boom.
Asian hubs are growing at 9% a year compared to Switzerland's 6%, and the gap is only going to widen.
Source: Reuters
Back when I used to bring my kids to the Himalayas every year. Little explorers. I miss those days, and I look forward to more to come. Himalayas make solid kids.
In 1972, Nepal made a radical capital bet.
To process the national census, His Majesty’s Government leased the country’s very first mainframe, the IBM 1401, at a staggering cost of Rs. 125,000 per month. A decade later, they scaled that capacity by acquiring the fourth-generation ICL 2950/10.
To outsiders at the time, importing massive computing infrastructure into a developing nation seemed like an expensive luxury.
In reality, it was an early masterclass in technological sovereignty. Our leadership recognized that national data required state-of-the-art tools to drive long-term economic planning.
Today, we stand at an identical technological inflection point.
With His Balen's Government holding a clear public mandate to build the infrastructure of a $100 Billion economy, the mandate to secure sovereign compute capacity has returned.
The global AI ecosystem runs on one fundamental constraint: high-density GPU power.
As international data centers collide with unprecedented power grid limitations and skyrocketing operational overheads, Nepal holds a distinct, structural competitive advantage to anchor the next generation of global AI infrastructure.
Our Leverage? Abundant, highly cost-effective, and entirely renewable hydroelectric energy.
By developing localized, sovereign GPU data center infrastructure, we can catalyze a profound economic shift across three core pillars:
🚀 Sustainable AI Compute: Powering energy-intensive LLM training and global inference engines utilizing 100% clean, renewable domestic energy.
📈 Shifting from Consumption to Export: Moving Nepal from a passive importer of foreign technology to a net exporter of high-margin AI services, API infrastructure, and localized digital assets.
🛡️ Securing Digital Sovereignty: Ensuring our cultural data and national digital ecosystems are trained on our own soil, protected by our own frameworks, and powered by our own grid.
At Himalaya AI Labs, we operate on the absolute principle that infrastructure dictates economic destiny.
Just as the nation pioneered early computing adoption in South Asia five decades ago, we now possess the exact convergence of renewable energy, technical engineering talent, and political runway required to architect Nepal’s digital future.
The conversion of raw flowing water into high-value digital capital is the defining macroeconomic opportunity of this decade.
The future belongs to the architects of compute.
Let us build it here.
#SovereignAI #TechInfrastructure #GreenCompute #ExecutiveLeadership #AIInference #SiliconPeaks
An AI model trained on only 2.5 hours of operator data ran a real excavator remotely over @Starlink.
Two and a half hours of watching a human, and the machine can dig on its own.
The labor economy is about to look very different, very fast.