This week OpenAI and Anthropic launched their health/bio updates. While both companies are leaning into consumer-facing health concierges, Claude now has better tooling for life science researchers.

Reply to ‘Genome engineering for conservation might be a game changer but only with the incorporation of Indigenous voices’ in Nature Reviews Biodiversity

Not behind, but at the forefront: On feeling overwhelmed by AI progress, and why that means you're exactly where you need to be.

The science of responsible innovation, rv (uv for R), just quit, R updates (R Data Scientist, R Works), 5 things in biosecurity, why benchmarking is hard, open science (?), papers &

R + AI, uv, RAG+Zotero, Quarto books, Codex in Positron, Positron assistant &

NSF reorg, Science in 2050, 2025 LLM recap, R+Python, R Data Scientist, virtual cells, genomics in 2026, Claude Code course, AI and labor, how uv got so fast, Anthropic/biotech, papers+preprints

Part 3 in a series of posts going back 14 years

On finding joy in slow, imperfect code in an age of copilots, agents, and chatbots. 1.2k words, 5 min reading time.

AI creates an education challenge, not just a job crisis. We haven't built systems to help people to continue learning and connect them to new opportunities.

If an AI produces something useful it's because of your own skill in model choice, prompting, and steering. If not, it's because the model is a useless lying machine that can't follow directions.

R updates (R Data Scientist, R Weekly), AI accelerating wet lab bio research, Docker hardened images, LLMs in review, machinal bypass, science funding, new papers.