Issue #247
June 9, 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. Python Notebooks for Fundamentals of Music Processing [audiolabs-erlangen.de]
- 2. Heuristics on the high seas: Mathematical optimization for cargo ships [research.google]
- 3. No physics? No problem. AI weather forecasting is already making huge strides. [arstechnica.com]
- 4. Scientists should use AI as a tool, not an oracle [aisnakeoil.com]
- 5. ROOT: analyzing petabytes of data, scientifically [root.cern]
- 6. 5 myths about platform engineering: what it is and what it isn’t [cloud.google.com]
- 7. Why, after 6 years, I’m over GraphQL [bessey.dev]
- • Quantifying the impact of misinformation and vaccine-skeptical content on Facebook (J. Allen, D. J. Watts, D. G. Rand)
- • Deception abilities emerged in large language models (T. Hagendorff)
- • Post-January 6th deplatforming reduced the reach of misinformation on Twitter (S. D. McCabe, D. Ferrari, J. Green, D. M. J. Lazer, K. M. Esterling)
- • A survey on text generation using generative adversarial networks (G. H. de Rosa, J. P. Papa)
- • Analogies Explained: Towards Understanding Word Embeddings (C. Allen, T. Hospedales)
- • Graph structural complexity (A. A. Snarskii)
- • Infection patterns in simple and complex contagion processes on networks (D. A. Contreras, G. Cencetti, A. Barrat)
- • A First Course in Monte Carlo Methods (D. Sanz-Alonso, O. Al-Ghattas)
Generative AI in a Nutshell
All our videos are also available in our YouTube playlist.
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