Issue #252

July 24, 2024

This week's book is "Working with Network Data" by J. Bagrow and Y.-Y. Ahn. Networks are the keystone concept necessary to understand a wealth of real-world complex systems whose behavior is characterized by interactions between individual components. In this book, J. Bagrow and Y.-Y. Ahn, two leading researchers in the field of Complex Networks, introduce readers to the fundamental concepts of Network Science and how to apply them to practical datasets. Their hands-on approach will get you up to speed quickly, allowing you to develop effective approaches to understanding your own network datasets.

Working with Network Data

1. Working with AI (Part 2): Code Conversion [blog.withmantle.com]
2. Overcoming the limits of current LLM [seanpedersen.github.io]
3. GPT-4o mini: advancing cost-efficient intelligence [openai.com]
4. Friendship and Social Fitness [robkhenderson.com]
5. Every Way To Get Structured Output From LLMs [boundaryml.com]
6. The Man Who Thought Too Fast [newyorker.com]
7. Open Source AI Is the Path Forward [about.fb.com]
8. Here’s What Happens When You Give People Free Money [wired.com]

• Nonlinear computation with linear systems (P. L. McMahon)
• A psychedelic state arises from desynchronized brain activity (P. D. Petridis)
• A Formulation of the Trilemma in Proof of Work Blockchain (T. Nakai, A. Sakurai, S. Hironaka, K. Shudo)
• Machine learning in physics: A short guide (F. A. Rodrigues)
• Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency (A. Birhane, M. McGann)
• Fair coins tend to land on the same side they started: Evidence from 350,757 flips (F. Bartoš, A. Sarafoglou, H. R. Godmann, A. Sahrani, D. K. Leunk, P. Y. Gui, D. Voss, K. Ullah, M. J. Zoubek, F. Nippold, F. Aust, F. F. Vieira, C.-G. Islam, A. J. Zoubek, S. Shabani, et al)
• SpreadsheetLLM: Encoding Spreadsheets for Large Language Models (Y. Tian, J. Zhao, H. Dong, J. Xiong, S. Xia, M. Zhou, Y. Lin, J. Cambronero, Y. He, S. Han, D. Zhang)

Andrew Gelman - Bayes, statistics, and reproducibility

July 24, 2024

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