Halcyon

One of my favorite reads so far this year. What can one learn not just from working in and on large language models for a decade - but also learn from working with them as well? William Hakim lays it out eloquently and usefully: the best models keep getting better and general purpose capabilities push the frontier of what is possible further and faster. But, specialization matters too, not so much in terms of model tuning but rather, in terms of deciding what to do with them. Compelling specific use of general purpose technology comes from two factors: domain expertise, and understanding customer workflow. Neither of those factors can be abstracted away into a model. As Will says, "I am incredibly excited to be part of the next two years of AI development. But reflecting on technology’s past has reminded me that the utility of future technological advances remains grounded in the same old fundamentals: understanding the domain, and understanding the user." As for me, I'm excited to keep learning and musing on what can be, and will be, as we work with AI dedicated to decarbonization and building the future. https://lnkd.in/gED8-qUB

Last week, we told you (our LinkedIn friends) about the value hidden in utilities' Integrated Resource Plans. This week, we're going to show you! https://lnkd.in/gF48FkG3 In this post, we demonstrate parsing utility filings by the 10s. Please DM me if that's of interest, or especially if parsing IRPs at really big scale (100s or 1,000s) is of interest! I'm happy to share some Halcyon data.

Utility filings are so deeply valuable for clean energy development and also... a bit painful to read. In this week's Halcyon blog post, I share some ways that climatetech companies can gain huge benefits from the two essential filings for intestor-owned utilities: ✨ Integrated Resource Plans and Rate Cases. ✨ At the end of the post, I begin to explore how you can work with a Large Language Model co-reader to get maximum useful information from these filings with minimum pain. There's more to come on that in Part II, next week! (Heartfelt thank you to Sharon Reishus, who has much, much more knowledge than I do on this topic, for editing.) https://lnkd.in/gQrAiZg8

When you’re in the trenches building, amazing things reveal themselves that you could never have foreseen at the outset.✨☺️ Life imitates art and all that. I have been hard at work creating a product/market fit course for climate software startups and along the way I found an incredible launch partner in Koray Parmaks from Carbon Zero Capital. 🚀 Koray, a Founder/CEO turned investor, and his partner Eric Tong, are putting $ from their exits into climate startups.💚 Together, we are offering an invite-only bootcamp to help selected founders gain conviction on the path to Strong PMF.🧗♀️🦾 💰At the end of the bootcamp, Carbon Zero Capital will make investments in bootcamp grads that meet their PMF criteria.💰 Yes, for real. Our PMF bootcamp helps early stage stage climate founders hit their next milestones📈: -> Progress $0-500k, $500k-3M ARR -> Increase % customers that truly love your product -> Patch your leaky bucket (funnel) -> Right-size your unit economics -> Raise your next round If you want to join the bootcamp or learn more, request access at https://lnkd.in/g3yrQQvi !!🤘

👋 #ClimateTech friends! I'm excited to announce that I'll be sharing my story of how I came to be at @Halcyon and some of what we're up to at @The Engine Accelerator's Tough Tech Summit next week! 📆 Along with some industry luminaries, I'll be presenting during the "Perspectives: Enlightening Talks" session from 11am-12pm next Wednesday Oct 9 at the Westin. 🤝 If you'll be in Boston next week and you're interested in learning about how we're using #AI to help solve some tough energy information problems, I'd love to chat here or drop me a line at klaessig@halcyon.eco Check out the full agenda here: https://lnkd.in/gQPwUbmW #ToughTechWeek

👋 #ClimateTech friends! I'm excited to announce that I'll be sharing my story of how I came to be at @Halcyon and some of what we're up to at @The Engine Accelerator's Tough Tech Summit next week! 📆 Along with some industry luminaries, I'll be presenting during the "Perspectives: Enlightening Talks" session from 11am-12pm next Wednesday Oct 9 at the Westin. 🤝 If you'll be in Boston next week and you're interested in learning about how we're using #AI to help solve some tough energy information problems, I'd love to chat here or drop me a line at klaessig@halcyon.eco Check out the full agenda here: https://lnkd.in/gQPwUbmW #ToughTechWeek

The One Where a Large Language Model Goes to Climate Week. Last week I (along with many thousands of you on LinkedIn) was in New York City for Climate Week. I've been attending for more than a decade, since it was a side show of the UN General Assembly. These days, it can feel like the main show, particularly for those working in energy and decarbonization. Any human attending the hundreds of separate events runs into the limits of time and space. It's impossible for any person to see more than a small fraction of the available talks, and see any but a tiny quantum of fellow travelers in town. We all operate in edit moment, and it can be frustrating to know what you're missing. But - this sort of scale is not a problem for a large language model. So, we sent one (so to speak) to Climate Week, and I wrote about it. Click through to see a bit of what I asked Halcyon to help me discover, and what I learned. Happy reading. https://lnkd.in/gexyqbkH