Issue #260
October 16, 2024
- 1. Introducing Netflix’s TimeSeries Data Abstraction Layer [netflixtechblog.com]
- 2. LeetCode was HARD until I Learned these 15 Patterns [medium.com/algomaster-io]
- 3. Diffusion for World Modeling [diamond-wm.github.io]
- 4. Scaling laws of optimization [francisbach.com]
- 5. Transforming colors with matrices [lisyarus.github.io]
- 6. Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think [sihyun.me]
- 7. This AI Pioneer Thinks AI Is Dumber Than a Cat [wsj.com]
- • A global dataset of 7 billion individuals with socio-economic characteristics (M. J. Ton, M. W. Ingels, J. A. de Bruijn, H. de Moel, L. Reimann, W. J. W. Botzen, J. C. J. H. Aerts)
- • Quantifying the use and potential benefits of artificial intelligence in scientific research (J. Gao, D. Wang)
- • Analyzing differences between discursive communities using dialectograms (T. Enggaard, A. Lohse, M. A. Pedersen, S. Lehmann)
- • Generalized contact matrices allow integrating socioeconomic variables into epidemic models (A. Manna, L. Dall’Amico, M. Tizzoni, M. Karsai, N. Perra)
- • The Dynamics of Social Conventions in LLM populations: Spontaneous Emergence, Collective Biases and Tipping Points (A. F. Ashery, L. M. Aiello, A. Baronchelli)
- • GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models (I. Mirzadeh, K. Alizadeh, H. Shahrokhi, O. Tuzel, S. Bengio, M. Farajtabar)
- • Machine learning and information theory concepts towards an AI Mathematician (Y. Bengio, N. Malkin)
Essential Mathematics For Aspiring Game Developers
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