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.
It’s a safe bet that anyone reading this post works with information. You either create it through your business processes, or absorb it to feed those processes. In fact, you probably both create and consume important information constantly, even if you have not thought of information in a producer-consumer way.
What will it take to move the global economy from a higher-carbon to a lower-carbon state?
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