Welcome to the 265th edition of the Data Science Briefing!
The next edition of the LLMs for Data Science webinar is coming up in just over a week, and exceptionally on lucky Friday, the 13th of December. Register now!
In our regularly scheduled content, we explore the Beautiful Math of Bloom Filters, dive into the Advent of Code 2024, explore Smaller Models for Efficient GPU Inference and An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability.
On the academic front, we go beyond a binary theorizing of prosociality, explore computational reproducibility in computational social science and Large Language Models as Markov Chains.
This week's book recommendation is "The Atomic Human: What Makes Us Unique in the Age of AI" by N. D. Lawrence. You can find all the previous book recommendations on our website. In this week's video, we have a tutorial on How To Use Cursor AI For Beginners.
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Semper discentes,
The D4S Team
This week's book is "The Atomic Human: What Makes Us Unique in the Age of AI" by N. D. Lawrence. The book presents a compelling exploration of what defines humanity in the context of advancing artificial intelligence. The central thesis revolves around the idea that our vulnerabilities and imperfections, rather than our technological capabilities, are what truly characterize us as human beings. The book argues that while AI can replicate certain aspects of human thought and behavior, it fundamentally lacks the emotional depth, moral judgment, and ability to navigate complex, ambiguous situations that define human experience.
Lawrence emphasizes the importance of our flaws and social connections in fostering growth and creativity. He posits that these qualities allow us to form cultures and communities that go beyond mere survival, highlighting the unique aspects of human decision-making through historical examples. This perspective challenges the prevailing narrative that positions AI as a competitor to human intelligence, instead suggesting that AI should be viewed as a tool that complements but does not replace our intrinsic human qualities.
This book serves as an engaging examination of what it means to be human in an era increasingly defined by technological advancements, prompting readers to reflect on the essence of humanity amidst the rise of intelligent machines.
- The Beautiful Math of Bloom Filters [nyadgar.com]
- Advent of Code 2024 [adventofcode.com]
- A family of compact language models [github.com/huggingface]
- Sparse Llama: Smaller Models for Efficient GPU Inference [neuralmagic.com]
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KlongPy: High-Performance Array Programming in Python [github.com/briangu]
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An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability [adamkarvonen.github.io]
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A statistical approach to model evaluations [anthropic.com]
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A Visualization of Europe's Non-Bubbly Economy [geekway.substack.com]
- Higher-order connectomics of human brain function reveals local topological signatures of task decoding, individual identification, and behavior (A. Santoro, F. Battiston, M. Lucas, G. Petri, E Amico)
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Beyond a binary theorizing of prosociality (C. Shen, Z. He, H. Guo, S. Hu, J. Tanimoto, L. Shi, P. Holme)
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Computational reproducibility in computational social science (D. Schoch, C.-h. Chan, C. Wagner, A. Bleier)
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Characterizing the Fragmentation of the Social Media Ecosystem (E. Di Martino, A. Galeazzi, M. Starnini, W. Quattrociocchi, M. Cinelli)
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Large Language Models as Markov Chains (O. Zekri, A. Odonnat, A. Benechehab, L. Bleistein, N. Boullé, I. Redko)
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Physics in Next-token Prediction (H. An, Y. Song, X. Li)
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LLMs as Method Actors: A Model for Prompt Engineering and Architecture (C. Doyle)
How To Use Cursor AI For Beginners
All the videos of the week are now available in our Youtube playlist.
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