Issue #249
June 19, 2024
This week's book is "Co-Intelligence" by Ethan Mollick. This book provides an essential and balanced guide to navigating the age of artificial intelligence (AI). Author Ethan Mollick offers a pragmatic perspective on AI's capabilities and limitations, showing how it can effectively augment human abilities. The book's key strength is Mollick's "Four Rules of Co-Intelligence" framework for seamlessly integrating AI into work and life. He demystifies complex AI concepts through engaging examples and practical advice. Mollick paints an optimistic yet grounded vision where humans and AI collaborate harmoniously, complementing each other's strengths to drive innovation. His book equips readers to confidently leverage AI's power while preserving human ingenuity and ethics. In the rapidly changing AI landscape, "Co-Intelligence" is an invaluable resource for business leaders, educators, students, and anyone seeking to thrive by harnessing the benefits of human-AI co-intelligence. Mollick's work provides a roadmap for gaining a competitive edge through co-intelligent collaboration.
- 1. Anthony Fauci: The first three months [theatlantic.com]
- 2. CUDA for AI β Intuitively and Exhaustively Explained [towardsdatascience.com]
- 3. What is intelligent life? [aeon.co]
- 4. A Long Guide to Giving a Short Academic Talk [benjaminnoble.org]
- 5. Automating Complex Business Workflows with Cohere: Multi-Step Tool Use in Action [cohere.com]
- 6. New algorithm discovers language just by watching videos [csail.mit.edu]
- 7. How Meta trains large language models at scale [engineering.fb.com]
- β’ Fundamental Dynamics of Popularity-Similarity Trajectories in Real Networks (E. S. Papaefthymiou, C. Iordanou, F. Papadopoulos)
- β’ ChatGPT is bullshit (M. T. Hicks, J. Humphries, J. Slater)
- β’ The influence of cross-border mobility on the COVID-19 epidemic in Nordic countries (M. Shubin, H. K. Brustad, J. E. MidtbΓΈ, F. GΓΌnther, L. Alessandretti, T. Ala-Nissila, G. S. Tomba, M. KivelΓ€, L. Y. H. Chan, L. LeskelΓ€)
- β’ An algorithm to build synthetic temporal contact networks based on close-proximity interactions data (A. Duval, Q. J. Leclerc, D. Guillemot, L. Temime, L. Opatowski)
- β’ Can Language Models Serve as Text-Based World Simulators? (R. Wang, G. Todd, Z. Xiao, X. Yuan, M.-A. CΓ΄tΓ©, P. Clark, P. Jansen)
- β’ Step-by-Step Diffusion: An Elementary Tutorial (P. Nakkiran, A. Bradley, H. Zhou, M. Advani)
- β’ Bridging the Digital Divide: Mapping Internet Connectivity Evolution, Inequalities, and Resilience in six Brazilian Cities (N. Gozzi, N. Comini, N. Perra)
Creating a Doom-style 3D engine in C
All our videos are also available in our YouTube playlist.
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