Issue #161
June 26, 2022
- 1. LaMDA’s Sentience is Nonsense - Here’s Why [lastweekin.ai]
- 2. Entropy: Why Life Always Seems to Get More Complicated [https://jamesclear.com]
- 3. Researchers Can Duplicate Keys from the Sounds They Make in Locks [kottke.org]
- 4. YaLM 100B parameter language model [github.com/yandex]
- 5. Introducing PyScript [lwn.net]
- 6. Dolt is Git for Data! [github.com/dolthub]
- 7. The Internet Origin Story You Know Is Wrong [wired.com]
- 8. A Data-Centric Introduction to Computing [dcic-world.org]
- 9. Where are all the crypto use cases? [evanjconrad.com]
- 10. Does one simple rule underlie learning in the brain? [actu.epfl.ch]
- • Eigenvalue ratio statistics of complex networks: Disorder versus randomness (A. Mishra, T. Raghav, S. Jalan)
- • Bayesian Workflow (A. Gelman, A. Vehtari, D. Simpson, C. C. Margossian, B. Carpenter, Y. Yao, L. Kennedy, J. Gabry, P.-C. Bürkner, M. Modrák)
- • A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks (T. Hilsabeck, M. Arastuie, K. S. Xu)
- • Diffusion approximation of a network model of meme popularity (K. A. Oliveira, S. Unicomb, J. P. Gleeson)
- • A Bounded-Confidence Model of Opinion Dynamics with Heterogeneous Node-Activity Levels (G. J. Li, M. A. Porter)
- • LinkBERT: Language Model Pretraining with Document Link Knowledge (M. Yasunaga, J. Leskovec, P. Liang)
- • Intervention strategies for epidemic spreading on bipartite metapopulation networks (B. Wang, L. Yang, Y. Han)
- • Link Prediction on Complex Networks: An Experimental Survey (H. Wu, C. Song, Y. Ge, T. Ge)
Bayesian Statistics
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