Welcome to the Juneteenth edition of the Data Science Briefing! This month, we are celebrating our 5th anniversary! Thank you for helping to make these five years a great success.

As usual, we have a few surprises planned for this month. This week, we are slightly redesigning the Data Science Briefing newsletter. I hope you enjoy it!

As announced earlier this month, you can now find all of our written content in a single location: The Data For Science substack! All the previous posts in G4Sci and Viz4Sci can now be found there, as well as all of the most significant Medium posts. Check it out!

During the course of this month, select paid posts will be available for free, giving you a taste of the content that awaits you as a subscriber. This week, all the Epidemiology posts are free to read.

And, as always, the most recent posts in each series are always free to read. The most recent post on the Epidemiology series, Epidemiology 303: Metapopulation Models, explores how to connect multiple populations through a travel matrix. In the graph subsection, you'll find all you need to know about k-core Decomposition, while in the Visualization section, you can explore The Effects of Vaccination through a WSJ visualization.

In our regularly scheduled content, we ask what is intelligent life, dive into a Long Guide to Giving a Short Academic Talk and explore How Meta trains large language models at scale.

On the academic front, we consider how ChatGPT is bullshit, The influence of cross-border mobility on the COVID-19 epidemic in Nordic countries, and dive into an elementary step-by-step tutorial on Diffusion Models.​

This week's book recommendation is "Co-Intelligence" by Ethan Mollick. You can find all the previous book recommendations on our website. In this week's video, we have a video on how to Create a Doom-style 3D engine in C.

Data shows that the best way for a newsletter to grow is by word of mouth, so if you think one of your friends or colleagues would enjoy this newsletter, go ahead and forward this email to them. This will help us spread the word!

Semper discentes,

The D4S Team

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 — 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]

• ​Fundamental Dynamics of Popularity-Similarity Trajectories in Real Networks (E. S. Papaefthymiou, C. Iordanou, F. Papadopoulos)
• ​ChatGPT is bullshit​ (M. T. Hicks, J. Humphries, J. Slater)
• ​The influence of cross-border mobility on the COVID-19 epidemic in Nordic countries​ (M. Shubin, H. K. Brustad, J. E. Midtbø, F. Günther, L. Alessandretti, T. Ala-Nissila, G. S. Tomba, M. Kivelä, L. Y. H. Chan, L. Leskelä)
• ​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)
• ​Can Language Models Serve as Text-Based World Simulators?​ (R. Wang, G. Todd, Z. Xiao, X. Yuan, M.-A. Côté, P. Clark, P. Jansen)
• ​Step-by-Step Diffusion: An Elementary Tutorial​ (P. Nakkiran, A. Bradley, H. Zhou, M. Advani)
• ​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

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All the videos of the week are now available in our Youtube playlist.
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