Quoting from Olivia Guest et al. (2025) "Against the Uncritical Adoption of AI Technologies in Academia."

In Google's new paper, "An AI system to help scientists write expert-level empirical software" an AI supposedly "invents" new methods in bioinformatics and infectious disease modeling & forecasting.

Dotfiles, VM setup scripts, R "verse" packages, and dev containers

NIH budget, AI, R, Bluesky & Science, state of biotech, AI in higher ed, R packages Top 40, structural variation, statistical power, Python documentary, Manhattan Project, tidymodels, ...

Biobank-scale relatedness estimation, SNP calling and phasing with long RNA-seq reads, predicting expression-altering promoter mutations with DL, cross-species filtering for comparative genomics, ...

RAND corp AIxBio report, AI accelerating: GPT-4b for stem cell reprogramming; AI is slowing down; UVA SDS on Bluesky; LLMs and education; Python needs R's CRAN;

Developing an R package using the OpenAI Codex agent in Positron

Using R and the GitHub API to get licensing information for GitHub repos for sequencing-related companies, one-shot with GPT-5.

Best AI for R, the weight of a cell, R+MCP, AI is a mass delusion event, AI hiring freezes, Quarto+Positron, biology moonshots, Julia for R users, AI hallucination, nf-core advisories...

Genome annotation, viral genome clustering, metagenomic diagnostics, SV analysis on ONT reads, functional prediction, gene loss, DNA damage/repair, CRISPR metagenomics, LLM lit review, ...

ChatGPT can be (mis)used to conduct scientific peer review with a predetermined outcome.