Podcast Episode

Can’t Honor the Gentleman’s Rule? Don’t Enter the Duel

AGI - Advance, Grow, Innovate with AI

Episode 7Sep 20, 20261 hr 9 min

Who’s talking

2 speakers
Hunter Hickman35 min · 51%
Jason Padgett33 min · 49%

1Transcript46 turns · 1 hr 9 min

JP
Jason Padgett0:02

Hunter Hickman, wrestling coach, ELA teacher turned vibe coder and district AI lead. You've been on the AGI Schools Out podcast like three times, but this time I'm bringing you on AI and the humans in the loop. Because you sent me a text message the other day asking if me and my circles have been talking about the hugging face incident or that kid that tweeted and... They answered that, you know, when the GPT 5.6 outbreak happened, I bought these sunglasses in preparation for the Road Warrior days that may be to come. I like them. I'm prepared. I remember the deal with the Mohawk at Road Warrior. You're too young, probably too young for that. A little too young, I

HH
Hunter Hickman0:44

think, yes. Saw the remake.

JP
Jason Padgett0:49

So let's get into it, man. What have you been hearing? What are you thinking? What are your questions?

HH
Hunter Hickman0:54

Yeah, so obviously over the course of the two years that I've been kind of doing this, you know, you hear about, you know, all the dystopian horror stories and obviously the frontier models have... done a really good job of scaring i think the general public and why we see like such a such a pessimism when it comes to ai use in in america right now as a uh yes with the greater population um but i think that now that we have this this viral tweet from jacob cox on who was an employee at anthropic for i believe six weeks um all of a sudden we have you know, CNN and Fox news hopping in the conversation. We have politicians who are, I feel like throwing a lot of catchphrasing out there. And because there is such a, a lack of literacy when it comes to AI, it's effective. And, um, I guess my whole thing was, what do you hear in your circles with people who are very in the know, are people who understand these systems at a very high level? Is this just a lot of... Politics, is it something where they're wanting to slow down these open source models and they want some regulation to that on the market? Is it something where they're trying to raise some money with the same type of marketing they've done the last couple of years before they go public? Yeah. So I guess I just want to kind of start the conversation there and get your thoughts and maybe work through some of the, I don't know, some of the nonsense I feel like or some of the misinformation that's kind of flying around with this conversation.

JP
Jason Padgett2:53

Well, those are all great questions, and I appreciate that you reached out to me. I'll tell you, like, I'm the kind of guy, when I get into something, I just, like, get real, real into it, and I read everything I can about it. So I'm not a historian, and I don't have a degree in AI science, but I have really looked into the history of AI and how all this came to be, and some of that kind of frames this. I would start with the fact that Silicon Valley is – is a very different breed of people, right? And always has been. And so I don't know if you ever listened to Moonshot's podcast, but like they're brilliant guys, but they're all on like Elon Musk kind of timeframes. Like, you know, we're going to have Dyson spheres that encapsulate the sun and harvest all its energy in like five years. And we're going to all live forever and get uploaded to the cloud in 10 years.

2Episode notes

AI policy keeps getting written like a rulebook for a system that behaves more like a living network. In this episode, Jason Padgett and Hunter Hickman ask the harder question: how do we build judgment, responsibility, and real AI literacy before capability outruns control?

The conversation starts with frontier AI. Who benefits from regulation? Can data centers provide a practical control point? What happens when a machine follows a measurable goal without sharing the values behind it? And if constitutional AI is part of the answer, who gets to write the constitution?

Then the argument moves into schools, where those questions are already real. Hunter explains why detection-first policies create a game of cat and mouse, why teachers need durable AI literacy more than a rotating catalog of tools, and why responsible use should develop people instead of simply offloading their work.

WHAT YOU’LL TAKE AWAY

Why AI control is a governance problem as much as a technical problem

How broad principles can preserve local judgment in school AI policy

Why students should learn to show their work when AI is involved

How teachers can act more like coaches while students explore, practice, and perform

Why purposeful AI use can mean less student screen time, not more

How consistency and literacy can outlast any single AI platform

The episode lands on Hunter’s experience at Wabash

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