You Don't Learn AI From Trend Reports — You Learn It by Poking at It

You Don't Learn AI From Trend Reports — You Learn It by Poking at It

There's no dramatic moment where you suddenly believe in AI. It's usually something small and slightly embarrassing — a task you dreaded that suddenly has another gear. In this episode of Adjunct Intelligence, Dale Leszczynski and Nick McIntosh skip the trend reports and walk through the exact moments AI actually clicked for them: an image prompt that synthesised an idea, a tiny tool built during a Canvas outage, a system that started connecting their thinking, and the reasoning summary that changed how they read every answer. Every moment comes with something practical you can try this week — no roadmap, no keynote voice. [00:00] — How belief in AI begins [01:52] — Setting the episode's ground rules  [04:07] — Moment one: image generation [07:21] — When the image understood intent  [10:30] — Classroom uses, stock photo death  [11:31] — Moment two: building tiny tools  [14:28] — The Canvas hack workaround  [16:43] — Start small, build narrow tools [18:50] — Moment three: chief of staff [26:05] — Moment four: the reasoning chain 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.

So, we need to talk about world models

This week on Adjunct Intelligence, Dale Leszczynski and Nick McIntosh work through one of the busiest weeks in recent AI history. World Labs' Marble is publicly available. Google DeepMind's Genie 3 is generating navigable photorealistic 720p worlds at 20–24 frames per second. Gemini Omni Flash has rolled out to the Gemini app, Flow, and YouTube Shorts for free, with multi-turn conversational video editing where the physics actually holds. Meanwhile, Mira Murati's Thinking Machines Lab published its first technical paper — interaction models, a full-duplex architecture deliberately built to keep a person in the loop. And Andrej Karpathy has quietly joined Anthropic. Three trajectories, all landing in front of educators at once. [00:00] A teaching prompt this week  [02:01] A decade of world models  [03:57] Marble and Genie 3 land  [04:47] Gemini Omni rolls out free  [07:29] Simulation as pedagogy now  [09:38] The always-on agent arrives [12:42] Plot twist in voice AI  [14:21] Interaction models, not turn-based  [16:24] A field analyst, a speedboat  [22:36] A surprise transfer this week 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.

The AI Tutor Flopped, So They Built the AI University

Khan Academy's AI tutor Khanmigo quietly flopped — students didn't use it, teachers walked away, and Khan Academy's own chief learning officer admitted she isn't seeing the revolution she was promised. So instead of fixing the tutor, Khan Academy, TED and ETS announced a new institution: the Khan TED Institute, a sub-$10,000 AI-era degree shaped with corporate partners including Google, Microsoft and McKinsey — and not a single university. Dale Leszczynski and Nick McIntosh work through what it means when the companies selling AI tools also build the credentials that certify them, why student resistance to imposed AI is rational rather than technophobic, and what a healthier alternative actually looks like in practice. [00:00] — The clinical trials analogy [02:30] — Steelmanning the skills gap  [05:20] — Who's at the founding table  [06:00] — The South Korea precedent  [07:41] — Enclosure, not disruption  [10:03] — The always-on chatbot  [11:30] — Why students push back  [15:40] — Who steers the technology  [20:05] — The broken career ladder  [24:35] — Why universities can't leave 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.

The Legitimacy Winter: Why AI's Real Problem Isn't Capability

The AI trust story isn't what most people think it is. In this episode, Dale and Nick work through a cluster of signals — a dramatic enterprise market share reversal, a 50-point gap between expert and public confidence in AI, a $17 million university contract already under faculty petition, and teenagers harassing delivery robots on TikTok — and argue they're all pointing at the same thing: capability isn't the problem anymore. Legitimacy is. From procurement traps and surveillance affordances in institutional AI, to a thought experiment about social license and AI rights, this is the episode for anyone trying to make sense of what "responsible adoption" actually looks like when the ground is moving under your feet. [00:00] — Violence, brand aversion, data [00:46] — Welcome and framing [01:47] — Enterprise market flips to Anthropic [03:29] — Identity signal, not capability signal [05:09] — Pentagon, OpenAI, Anthropic diverge [06:47] — Southeast Asia: tool-first, not brand-first [07:17] — Stanford AI Index 2026 trust gap [08:25] — Anthropic drops safety pledge [09:46] — Should expert confidence carry more weight? [12:42] — CSU's $17M OpenAI contract [13:37] — Faculty petition: don't renew it [ 14:38] — Procurement cycles vs lab timelines [15:23] — What do you actually anchor on? [16:47] — ASU's ethics layer approach [18:42] — 82% use consumer AI anyway [19:38] — Why university platforms always die [20:46] — Institutional AI as surveillance affordance [22:42] — Legitimacy winter, not capability winter [24:13] — Clanker as cultural leading indicator [25:18] — AI tribal sorting in the classroom [27:14] — The AI rights question [28:00] — Social license thought experiment [29:08] — Social license is the whole game [31:15] — The educator's role in a trust winter 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.

Mollie Dollinger on the HE Decay Narrative — and Why It's Wrong

Professor Mollie Dollinger, Director of Assessment 2030 at Curtin University, joins Dale and Nick to push back on the story dominating coverage of higher education — that universities are in decay, students are cheating en masse, and no one inside the sector knows what to do about AI. The conversation covers TEQSA's voluntary action plans, why 65% of students worry about their own cognitive development, what shadow IT says about overworked staff, why society no longer trusts graduates, burnout research, the Einstein agent thought experiment, and the argument that the academy has centuries of expertise the tech industry is currently ignoring. [00:00] — The decay narrative pushback  [05:00] — Brookings student cognitive concerns  [07:30] — Why the bad story sticks  [09:50] — What's actually happening inside  [13:30] — Shadow IT and unapproved tools  [16:00] — Chatbots and AI tutors  [19:55] — Student success beyond jobs  [28:46] — Burnout and admin burden  [33:35] — Redesigning learning around AI  [41:12] — Who counts as expert 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.