Issue 2026-W05 Highlights

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} {neonSoilFlux}: An R package for continuous sensor-based estimation of soil CO2 fluxes Building an R Weekly Highlights Podcast Assistant! Supporting the show Use the contact page at to send us your feedback R-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby , and then head over to the R-Weekly Highlights podcast entry on the index. A new way to think about value: 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 - Serenity & Grace - Chrono Cross -timaeus222 -

You can listen to Issue 2026-W05 Highlights online on Radio and Podcast. Open the player on this page to stream the available audio.

Issue 2026-W05 Highlights is an episode from R Weekly Highlights by Eric Nantz.

This episode is 00:40:26 long.

This episode was published on Jan 28, 2026.

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