Episode Details

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/

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• Get in touch with us on social media
  • Eric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)
  • Mike Thomas: @mike_thomas@fosstodon.org (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