forecasting

The list of potential uses for AI in climatetech is growing fast: developing better materials, optimizing solar farms, integrating renewables and microgrids. But many of these are still theoretical. We wanted to find a real-world application that changed the way we make climatetech. So we decided to come up with our own test run. Back in March Duncan Campbell, vice president at Scale Microgrids, used ChatGPT to code some battery dispatch software and tweeted about his experience. Duncan isn’t a professional software developer, but he still came up with some promising results.  Could a non-coder like Duncan use AI to do the work of several climatetech coders? We invited Duncan to do it again and ramped up the challenge. We recruited Seyed Madaeni, CEO and co-founder of Verse to create a challenge for Duncan. Seyed is an expert in AI and the software used in electricity markets. He routinely sends “problem statements” to his team of software developers to create new software. This time, he sent a problem statement to Duncan that reflects real world conditions, one that we might actually assign to real engineers to solve. The challenge? Develop battery dispatch software using ChatGPT.  In this episode, Duncan presents his results to Shayle and Seyed. They talk about things like: The different methods of optimizing battery dispatch, from old-school Excel sheets to more sophisticated software written by coders Seyed’s process of assigning a problem statement to his engineering team and the simplified version he sent to Duncan Duncan’s process of iteratively working with ChatGPT-4 to develop and debug the code  Why working with ChatGPT is like working with a bunch of really fast, but really inexperienced junior coders If you want to see the code that Duncan wrote with ChatGPT, click here.  Watch the conversation on YouTube. Recommended Resources: Carbon Copy Live: How AI could supercharge climatetech The Wall Street Journal: Why AI Is the Next Big Bet for Climate Tech Catalyst is a co-production of Post Script Media and Canary Media. Support for Catalyst comes from Climate Positive, a podcast by HASI, that features candid conversations with the leaders, innovators, and changemakers who are at the forefront of the transition to a sustainable economy. Listen and subscribe wherever you get your podcasts. Catalyst is supported by Scale Microgrids, the distributed energy company dedicated to transforming the way modern energy infrastructure is designed, constructed, and financed. Distributed generation can be complex. Scale makes it easy. Learn more: scalemicrogrids.com.

For the past few winters, researchers have been intentionally flying into snowstorms. And high in those icy clouds, the team collected all the information they could to understand—how exactly do winter storms work?

With more accurate data could come more accurate predictions about whether a storm would cause treacherous conditions that shut down schools, close roads and cancel flights. NPR science correspondent Nell Greenfieldboyce recently took to the skies for one of these flights and shares her reporting with us today.

Read more of Nell's reporting on this NASA effort: https://n.pr/3lk9utH

Want to hear about other storm chasing happening in the name of science? Email us at shortwave@npr.org.

Learn more about sponsor message choices: podcastchoices.com/adchoices

NPR Privacy Policy

It has been a while since we discussed private equity on the show, so I was excited for this week’s conversation. My guest is Dan Rasmussen, the founder of Verdad advisers. Dan worked in private equity and has spent years studying the entire field. Dan identified several key drivers of private equity’s outsized returns: size, value, and leverage. His firm uses these factors as a starting point to build a portfolio of public equities that behave like their private brethren. We cover a ton of ground, discussing the prospective returns for equities, forecasting, and tons of investing strategies. Please enjoy this conversation with Dan Rasmussen.   For more episodes go to InvestorFieldGuide.com/podcast. Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub. Follow Patrick on Twitter at @patrick_oshag   Links Referenced Subscribe to Dan The Gospel According to Michael Porter Tobias Carlisle Steven Pinker E.O. Wilson   Books Referenced What Works on Wall Street, Fourth Edition: The Classic Guide to the Best-Performing Investment Strategies of All Time Quantitative Value, + Web Site: A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors Expert Political Judgment: How Good Is It? How Can We Know? Superforecasting: The Art and Science of Prediction   Show Notes 2:03 – (First Question) – The current state of private equity investing        4:09 – The three myths of private equity  6:51 – Taking a deeper dive into the myth of growth through operational improvements 9:29 – What Works on Wall Street, Fourth Edition: The Classic Guide to the Best-Performing Investment Strategies of All Time  11:25 – Valuations for private market investment and where they’re going  14:03 – Private equity companies that have a higher chance of delivering results that exceed expectation  16:39 – Other observations on the private equity space that would be interesting to investors considering the asset class  19:33 – Importance of being very purposeful in picking your reference classes 19:42 – Subscribe to Dan  22:03 – How do the lessons Dan has learned in private equity translate to his investment strategies  25:21 – How do you apply purely technical, systematic thinking into public market investing  29:23 – Analyzing leveraged stocks and the value they could create  30:06 – How Dan thinks about the direction of debt vs just the level  33:11 – Predicting a firms ability to deleverage  35:20 – How Dan’s company whittle down a company and are able to see value beyond their quantitative screens  41:29 – How does Dan think about the global vs US opportunity set  44:22 – What originally drew Dan to the Japan market  47:03 – How do rising rates impact Dan’s strategy in investing in highly leveraged companies 55:03 – Porter’s five forces 55:25 - The Gospel According to Michael Porter 1:00:51 – How Dan thinks about competitive advantage 1:04:41 – Exploring Dan’s personal process in pursuit of his ideal strategy 1:05:19 – Quantitative Value, + Web Site: A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors 1:05:20 – Tobias Carlisle 1:06:27 – Steven Pinker 1:06:28 – E.O. Wilson 1:07:11 – What other markets pique Dan’s interest 1:09:39 – Why there is such a focus on small for Dan 1:11:24 – Expert Political Judgment: How Good Is It? How Can We Know? 1:11:28– Superforecasting: The Art and Science of Prediction 1:12:54– What was it like writing the book 1:17:19 – If Dan was going to write another book today, what would it be about 1:19:08– Kindest thing anyone has done for Dan   Learn More For more episodes go to InvestorFieldGuide.com/podcast.  Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub Follow Patrick on twitter at @patrick_oshag