The Curiosity Current: A Market Research Podcast

There are a few genuinely interesting ideas - the Screenome finding that people switch tasks every 7-10 seconds, and the prediction-vs-explanation distinction - but much of the runtime is spent on personal parenting anecdotes and restating that 'humans are complex' in many ways.

“people were spending maybe 7 to 10 seconds doing any one thing before they did something else”

“They write it about a minute a time and then they'll do something else in between unrelated to writing the paper”

The Screenome second-by-second methodology and the connoisseurship-of-questions framing (Polanyi) are relatively fresh, and the speech-recognition analogy for prediction beating theory is a good non-obvious point, but the AI-won't-take-your-job and 'lean in, don't run away' material is well-worn.

“these computational linguists and said, you know, we might not need to know how, how language works”

“the answer in this one literature is the question. It is deciding what's important to try to know about”

Byron Reeves is a genuinely high-caliber, relevant guest - a chaired Stanford professor who authored landmark media-psychology books, ran the Screenome Project, and worked with Microsoft Research and industry, directly relevant to research methods and AI.

“chaired professor at Stanford University with appointments in communication, symbolic systems, and the Graduate School of Education”

“he's authored landmark books such as The Media Equation and Total Engagement”

There are a couple concrete specifics (5-second screenshots, a year of capture, ~a million screens, 7-10 second switching, Viewpoints AI) but most claims remain abstract, with no hard market-research data, dollar figures, or named brand case studies.

“capture a screenshot of what people were doing on their computers or their smartphone every 5 seconds”

“we collect a million of Molly's screens over the course of a year”

The hosts ask reasonably structured questions and share a relevant strawberries anecdote, but they rarely push back or challenge claims - the AI-simulation skepticism is raised then left to the guest to soften, and long stretches drift into co-host personal parenting chat rather than probing.

“What kinds of questions do you think that AI simulations are well suited to answer?”

“what questions before they dive in headfirst should they be asking”