The cover story of this week’s edition of The Economist is a long look at the present state and future trajectory of the global solar industry. I was fortunate to have the chance to speak with the newspaper and provide thoughts on an industry I’ve looked at closely for almost two decades.
This post is the first in a series examining the economics and environmental benefits of AI’s demand for electricity.
This entry of Machine Readable is a conversation between Nat Bullard, Chief Strategy Officer, Halcyon, and Vicky Homan, GTM Lead, Halcyon. Among the many hats she wears, Vicky is an integral part of Halcyon’s customer-facing team and is also our record-holder for most queries submitted via Halcyon’s platform.
Information platforms that interact with large language models (LLMs) are built with a fundamental advantage: users can engage with them in natural language through written queries and requests. They can do so not just quickly and iteratively, but creatively as well.
Halcyon has been pounding a very specific drum since the start: we are awash in energy transition and decarbonization information, and of a type and volume that overwhelms any human information capability to index, classify, or rank.
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