01/22/2026
What happens to science education when ChatGPT can generate a fluent, plausible-sounding answer for almost anything—instantly?
In Episode 9 of My Robot Teacher, we sit down with UC Davis biophysicist Jon Sack to explore what "AI literacy" really means in science classrooms. Spoiler: it's not just about avoiding plagiarism.
Jon argues that the core of scientific thinking isn't getting answers—it's learning to "kill your darlings" and stay curious anyway. It's tolerating disconfirmation. It's resisting the dopamine hit of plausible certainty that LLMs deliver on demand.
We dig into:
→ Why resilience is the method, not just a soft skill
→ How to redesign assessments so students can't outsource the thinking
→ What AlphaFold teaches us about cheap hypotheses and expensive verification
→ The big question: if we're co-evolving with AI, how do we keep student agency intact?
Whether you teach science, work in higher ed, or just want to understand how AI is reshaping learning—this one's for you.
🎧 Listen now:
Apple Podcasts: https://podcasts.apple.com/us/podcast/ep09-resilience-over-right-answers-rethinking-science/id1818032413?i=1000746228976
Spotify: https://open.spotify.com/episode/6Or5PGJd9Pc7CJzeBK11hr?si=baSCEdIKTCGUHSkrvDmwvA
YouTube: https://www.youtube.com/watch?v=jJ1Cprh2TEQ
Science education after ChatGPT: what happens when students can outsource the thinking, and still turn in something that looks right? In this episode of My R...