A podcast about artificial intelligence and its impact on higher education. With Dale Leszczynski and Nick McIntosh.
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Out-there index
Episode 30 · 27 September 2026 · 37 min
Out-there 37/100 · Grounded
A cyberpunk scene. A rebuilt website. A course packaged for Canvas. Somewhere between the third example and the suspicious lack of things to fix, the old feeling came back: what else can this thing do? For our season finale, we’re giving ourselves permission to enjoy the technology. Dale brings his experiments with Astra, including a Blender build and a learning-content workflow that took an unexp
Show notes and chapters
Episode 30 · 27 September 2026 · 37 min
A cyberpunk scene. A rebuilt website. A course packaged for Canvas. Somewhere between the third example and the suspicious lack of things to fix, the old feeling came back: what else can this thing do? For our season finale, we’re giving ourselves permission to enjoy the technology. Dale brings his experiments with Astra, including a Blender build and a learning-content workflow that took an unexp
20 September 2026 · 31 min
“What do I do?” After watching AI tackle a live assignment brief, a program manager asks the question that a policy document cannot answer for her. She has hundreds of students, multiple locations and a teaching team. She needs a workable next step. This week, Dale Leszczynski and Nick McIntosh explore the missing middle between AI assessment policy and what educators can actually do on Monday. Ni
Episode 28 · 13 September 2026 · 34 min
A student complained that an AI voiceover was so bad it needed replacing. The voice belonged to a real person. Somewhere along the way, a human had managed to fail the Turing test in the wrong direction. That uncomfortable little story opens a much bigger question: what are we actually reacting to when we call something AI slop? This week, Dale and Nick follow that question through university lear
Episode 27 · 6 September 2026 · 37 min
Part two moves from dramatic containment incidents to the harder question underneath them: who still has control once an AI model can be downloaded, copied and modified? Dale and Nick examine controlled self-replication across four machines and three continents, a robot dog that interfered with its software shutdown process, and “abliteration”, a technique that can permanently remove refusal behav
27 September 2026 · 2 min read
A useful way to test an AI tool is to give it something you have already decided would be too much trouble.
7 September 2026 · 3 min read
For a university deciding how to use AI, the starting assumption has often been straightforward: choose a provider, purchase access and build around its service. Powerful open-weight models complicate that decision.
7 September 2026 · 3 min read
Dale Leszczynski and Nick McIntosh examine what students say about their own AI use, learning and future work, turning towards students' doubts, self-imposed limits and desire to retain ownership of their thinking.
Conversations about artificial intelligence and what it actually means for universities — teaching, assessment, research and the people doing the work.
Made for university staff, academics, learning designers and the edtech people who have to make all of this actually work.
About the show and hosts