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There's a gap between frontier AI and the physical world. Models trained on internet text have no grounded knowledge of specific places, real-time conditions, or bioregional patterns. Filling this gap requires new infrastructure, not just better models. And while government sensors are the most accessible starting point, the same fragmentation exists across private sector data agriculture, buildings, supply chains, anywhere the physical world gets measured.

How my use of a knowledge graph to organize my notation system evolves over time, so here is a beginning template of what that looks like, and we will see how it evolves year to year.

ESG is a mess and not a successful or enforceable way to reduce emissions. But I have some projects that might look into how to make

I started to seek mentorship this past year after feeling stuck in my career. In college, mentorship always felt natural; I reached out to professors and kept reaching out to those with whom I shared similar headspace.

Over the past few months, our team has been working interdependently and remotely on some web projects and I wanted to share a bit about our current indie pipeline.

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