The way LLMs can be a little stubborn when interpreting data visualizations, bringing new meaning to digging for your data and learning along the way, and the latest addition to the futureverse that seems too good to be true, but it is real! Plus an amazing Shiny app tailored made for this very podcast.
Episode Links
This week's curator: Jonathan Kitt - @jonathankitt.bsky.social (Bluesky)
LLMs interpret plots well, until expectations interfere
Students, software, and soil flux
futurize: Parallelize Common Functions via a "Magic" Touch
Entire issue available at rweekly.org/2026-W05
Supplement Resources
{bluffbench} https://simonpcouch.github.io/bluffbench/
{neonSoilFlux}: An R package for continuous sensor-based estimation of soil CO2 fluxes https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210x.70216
Building an R Weekly Highlights Podcast Assistant! https://jokasan.github.io/r-weekly_chatbot/
Supporting the show
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A new way to think about value: https://value4value.info
Get in touch with us on social mediaEric Nantz: @
[email protected] (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)
Mike Thomas: @
[email protected] (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter)
Music credits powered by OCRemix
Sunken Secrets - Super Mario 64 - Fishy - https://ocremix.org/remix/OCR02909
Serenity & Grace - Chrono Cross -timaeus222 - https://ocremix.org/remix/OCR04143