What I am reading: Q2 2024

Summer reading.

Here are articles or newsletters that have gone around in Q2 2024 that I have read or found interesting. But, I would love some new recommendations!

See my previous post for more general newsletters that I follow.

Single posts or articles that were interesting:

• Musings on Building a Generative AI Product (LinkedIn)
• LAB-Bench: Measuring Capabilities of Language Models for Biology Research (FutureHouse)
• DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines (preprint)
• Assessing the limits of zero-shot foundation models in single-cell biology (preprint)
• What are the best long form lectures on YT? (X/twitter thread)
• AI models collapse when trained on recursively generated data

sessionInfo

pander::pander(sessionInfo())

R version 4.3.0 (2023-04-21)

Platform: aarch64-apple-darwin20 (64-bit)

locale: en_US.UTF-8||en_US.UTF-8||en_US.UTF-8||C||en_US.UTF-8||en_US.UTF-8

attached base packages: stats, graphics, grDevices, utils, datasets, methods and base

loaded via a namespace (and not attached): digest(v.0.6.31), R6(v.2.5.1), fastmap(v.1.1.1), xfun(v.0.39), cachem(v.1.0.7), knitr(v.1.42), distill(v.1.6), memoise(v.2.0.1), htmltools(v.0.5.5), rmarkdown(v.2.21), cli(v.3.6.1), pander(v.0.6.5), downlit(v.0.4.2), sass(v.0.4.5), jquerylib(v.0.1.4), withr(v.2.5.0), compiler(v.4.3.0), rstudioapi(v.0.15.0), tools(v.4.3.0), bslib(v.0.4.2), evaluate(v.0.20), Rcpp(v.1.0.10), yaml(v.2.3.7), jsonlite(v.1.8.4) and rlang(v.1.1.1)