Issue #258
October 3, 2024
- 1. Did a top NIH official manipulate Alzheimer's and Parkinson’s studies for decades? [science.org]
- 2. If your AI seems smarter, it's thanks to smarter human trainers [reuters.com]
- 3. What I tell people new to on-call [ntietz.com]
- 4. How to Learn Rust in 2024: A Complete Beginner’s Guide to Mastering Rust Programming [blog.jetbrains.com]
- 5. How agent-based models powered by HPC are enabling large scale economic simulations [aws.amazon.com]
- 6. NotebookLM’s automatically generated podcasts are surprisingly effective [simonwillison.net]
- 7. Five ways to reduce variance in A/B testing [bytepawn.com]
- • Deeper but smaller: Higher-order interactions increase linear stability but shrink basins (Y. Zhang, P. S. Skardal, F. Battiston, G. Petri, M. Lucas)
- • A Brief History of Blockchain Interoperability (R. Belchior, J. Süßenguth, Q. Feng, T. Hardjono, A. Vasconcelos, M. Correia)
- • The potential impact of AI innovations on US occupations (A. A. Septiandri, M. Constantinides, D. Quercia)
- • Geometric Scaling Law in Real Neuronal Networks (X.-Y. Zhang, J. M. Moore, X. Ru, G. Yan)
- • Wastewater-based Epidemiology for COVID-19 Surveillance and Beyond: A Survey (C. Chen, Y. Wang, G. Kaur, A. Adiga, B. Espinoza, S. Venkatramanan, A. Warren, B. Lewis, J. Crow, R. Singh, A. Lorentz, D. Toney, M. Marathe)
- • To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning (Z. Sprague, F. Yin, J. D. Rodriguez, D. Jiang, M. Wadhwa, P. Singhal, X. Zhao, X. Ye, K. Mahowald, G. Durrett)
- • Newton's financial misadventures in the South Sea Bubble (A. Odlyzko)
Fine-tuning Large Language Models (LLMs)
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