All that 48th week of the year wildness
Dear Friends and Followers,
Welcome to the 148th content block of The Lindahl Letter, a journey we've been sharing every Friday, exploring the intersections of technology, society, and more. This week, let's dive into a topic that perfectly captures the spirit of this 48th week of the year: “All that 48th week of the year wildness.”
🚀 Link of the Week: A Musical Interlude with a Twist
In the midst of this whirlwind week, I want to share with you a little oasis of calm. Our link of the week features the Denver, Colorado-based band Foggy Mountain Spaceship and their newly released cello banjo soundscape track, "Ethereal Rainfall" [1]. It's a few minutes of meditative respite from the bustling AI news cycle, a musical journey that blends traditional and modern influences. Listen here and let the serene tones wash over you:
🔥 Exploring the Fusion of Auto-GPT and Election Models
This week, our focus shifts to the fascinating intersection of machine learning and political science. We're delving into the use of Auto-GPT in election modeling - a frontier where technology meets governance. For those unfamiliar, Auto-GPT, developed by Toran Bruce Richards, is described as “...the heart of the open-source agent ecosystem” [2].
The process of integrating Auto-GPT with election models is intricate and transformative:
Data Preparation: This initial step involves cleaning the data, filling in missing values, and ensuring a fair representation of various demographic groups. It's the foundation of our modeling work.
Training Phase: Auto-GPT is fed with rich election data, learning from historical outcomes and voter behavior, thereby shaping its understanding of electoral dynamics.
Evaluation and Tuning: After training, the model is rigorously evaluated and fine-tuned, enhancing its predictive accuracy.
Real-time Forecasting: The final stage sees Auto-GPT offering dynamic, real-time election forecasts, continually adapting as new data comes in.
This blend of AI and political analysis is not just about predictions; it's about deepening our understanding of electoral processes and potentially reshaping how we engage with politics.
🔗The Weekly Reading Log
Yannic Kilcher shared this video on YouTube: “What is Q-Learning (back to basics)”
West Roth “Q* Did OpenAI Achieve AGI? OpenAI Researchers Warn Board of Q-Star | Caused Sam Altman to be Fired?”
I went back and looked at this paper from 2004: Dean, J., & Ghemawat, S. (2004). MapReduce: Simplified data processing on large clusters. https://storage.googleapis.com/pub-tools-public-publication-data/pdf/16cb30b4b92fd4989b8619a61752a2387c6dd474.pdf
I’m on the waitlist for https://stability.ai/stable-video
I read this article about Q* from the MIT Technology Review https://www.technologyreview.com/2023/11/27/1083886/unpacking-the-hype-around-openais-rumored-new-q-model/
Zelikman, E., Wu, Y., Mu, J., & Goodman, N. (2022). Star: Bootstrapping reasoning with reasoning. Advances in Neural Information Processing Systems, 35, 15476-15488. https://proceedings.neurips.cc/paper_files/paper/2022/file/639a9a172c044fbb64175b5fad42e9a5-Paper-Conference.pdf
Lightman, H., Kosaraju, V., Burda, Y., Edwards, H., Baker, B., Lee, T., ... & Cobbe, K. (2023). Let's Verify Step by Step. arXiv preprint arXiv:2305.20050. https://arxiv.org/pdf/2305.20050.pdf?trk=public_post_comment-text
This video was pretty good on Q* guessing “What Is Q*? The Leaked AGI BREAKTHROUGH That Almost Killed OpenAI”
I read this Langchain blog on “Deconstructing RAG” https://blog.langchain.dev/deconstructing-rag/?ref=langchain-blog-newsletter
🌟 Looking Ahead: The Lindahl Letter’s Upcoming Topics
As we continue our journey, here's a sneak peek at what's ahead:
Week 149: Sentiment Analysis
Week 150: Voter Models
Week 151: Exit Polls
Week 152: Automating Election Forecasts
Week 153: Expert Panels
💌 Share the Knowledge
If you found this edition enlightening, consider sharing it with a friend. For those new here, welcome aboard! You can subscribe to The Lindahl Letter for weekly insights, arriving every Friday.
Thank you for being a part of this journey. Here's to another week of exploration and discovery.
Warm regards,
Dr. Nels Lindahl
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