I just can't get over how little we hear from academics RE: AI. It shows a clear disinterest and I feel like if they did bother to say anything it would be, "Proceed with caution while we study this further." Instead it's always the giant corporations with vested interest in this technology succeeding. It's just so painfully transparent.

Tragedy of the commons? Everyone wants to use it, no one wants to put forward the resources to maintain it.

In this year of 2025? No. But it still is basically setting oneself for failure from the perspective of Graphene, IMO. Like, the strongest protection in the world (assuming Graphene even is, which is quite a tall order statement) is useless if it only works on the mornings of a Tuesday that falls in a prime number day that has a blue moon and where there are no ATP tennis matches going on. Everyone else is, like, living in the real world, and the uniqueness of your scenario is going to go down the drain once your users get presented with a $5 wrench, or even cheaper: a waterboard. Because cops, let alone ICE, are not going to stop to ask you if they can make you more comfortable with your privacy being violated.

Headlines have length constraints

Sorry for the late reply, I had to sit and think on this one for a little bit. I think there are would be a few things going on when it comes to designing a course to teach critical thinking, nuances, and originality; and they each have their own requirements. For critical thinking: The main goal is to provide students with a toolbelt for solving various problems. Then instilling the habit of always asking "does this match the expected outcome? What was I expecting?". So usually courses will be setup so students learn about a tool, practice using the tool, then have a culminating assignment on using all the tools. Ideally, the problems students face at the end require multiple tools to solve. Nuance mainly naturally comes with exposure to the material from a professional - The way a mechanical engineer may describe building a desk will probably differ greatly compared to a fantasy author. You can also explain definitions and industry standards; but thats really dry. So I try to teach nuances via definitions by mixing in the weird nuances as much as possible with jokes. Then for originality; I've realized I dont actually look for an original idea; but something creative. In a classroom setting, you're usually learning new things about a subject so a student's knowledge of that space is usually very limited. Thus, an idea that they've never heard about may be original to them, but common for an industry expert. For teaching originality creativity, I usually provide time to be creative & think, and provide open ended questions as prompts to explore ideas. My courses that require originality usually have it as a part of the culminating assignment at the end where they can apply their knowledge. I'll also add in time where students can come to me with preliminary ideas and I can provide feedback on whether or not it passes the creative threshold. Not all ideas are original, but I sometimes give a bit of slack if its creative enough. The amount of course overhauling to get around AI really depends on the material being taught. For example, in programming - you teach critical thinking by always testing your code, even with parameters that don't make sense. For example: Try to add 123 + "skibbidy", and see what the program does.