A language dies every 40 days. 38% of webpages from 2013 are already gone. We built seed vaults for biodiversity. Why haven't we built knowledge vaults, training AI models on endangered languages, traditional medicine, and martial arts lineages before the last practitioners are gone?
Some decisions can't wait for perfect information. Growing up in post-war Vietnam, I watched my father make hard calls that changed lives. Three days into Boston's biggest blizzard since 2015, I'm thinking about what it means to make the call on AI when the data isn't coming.
Most people focus on which AI model to use. But the quality of your results depends more on context than model choice. Here's what context actually is, why most of it is hidden from you, and what that means for getting better results.
A 2025 year-end analysis of the stablecoin chain explosion, tokenized deposits, and what the fragmentation means for cross-border payments.
Retrieval gives agents information. Context gives them decision logic, constraints, and workflows. This deep dive explains why RAG cannot solve decision-making and why the context layer becomes essential infrastructure.
AI agents can execute actions, but they can't decide which action is correct. Finance exposes this gap more clearly than any domain. Here's why context, not compute, becomes the bottleneck.
A practitioner's warning to friends who aren't paying attention to AI. The transformation is already here, and most people won't see the punch until it lands.
Companies are racing to add AI everywhere. But most are strapping rockets to donkeys and calling it innovation. Real transformation requires rebuilding systems, not just adding layers on top.
Fintech's future isn't being shaped in the U.S. or Europe. It's emerging in Lagos, Ho Chi Minh City, and Buenos Aires, where stablecoins and digital rails solve survival challenges.
