Data Science Briefing #266


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Dec 11th

Next webinar:
Dec 13, 2024 - LLMs for Data Science [Register]
Count down to 2024-12-13T18:00:00.000Z

Welcome to the Dec 11th edition of the Data Science Briefing!

The next edition of the LLMs for Data Science webinar is coming up at the end of the week, on lucky Friday, the 13th. There's still a few open seats so register now so you don't miss out!

2025 is shaping up to be a great year, full of new content and learning opportunities. The next edition of our Advanced NLP with Deep Learning webinar has just been announced for Jan 22, 2025. This will be a complete revamp of the old course, taking advantage of PyTorch and covering some of the latest developments. Registrations are already open! A revamped version of the long form Natural Language Processing video is also coming soon!

In our regularly scheduled content, we learn how Meta built large-scale cryptographic monitoring, meet Google's state-of-the-art quantum chip, and wonder How close is AI to human-level intelligence.

On the academic front, we quantify reputation and success in art, understand why the bird flu pandemic hasn't started yet, dive into Semantic Retrieval at Walmart and the Strong Friendship Paradox in Social Networks.

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 documentary on Ilya: the AI scientist shaping the world.

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 "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.


  1. How Meta built large-scale cryptographic monitoring [engineering.fb.com]
  2. Meet Willow, our state-of-the-art quantum chip [blog.google]
  3. The GPT Era Is Already Ending [theatlantic.com]
  4. The optimal amount of fraud is non-zero [bitsaboutmoney.com]
  5. The unplanned impact of mathematics [nature.com]
  6. AI Hallucinations: Why Large Language Models Make Things Up [kapa.ai]
  7. How close is AI to human-level intelligence? [nature.com]


Ilya: the AI scientist shaping the world

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