I took the piece that I had dictated and had chatGPT turn into a coherent piece of writing (my previous blog entry).
Then I copied and pasted the content into 4 AI engines (through "chathub") and I asked them to find flaws and argue against my position. I read through their responses both to get an overview of the areas of weakness and also to test the AI engines to see if any stood out in terms of analysis.
Before I get to any discussion of the differences between the 4, I need to relate something else: I went back to chatGPT and tried to craft a prompt that would have it look at the critiques and address them. Instead, it wrote its own critique of the post. So i saved that (for future comparison) and asked it to revise the blog post to incorporate the improvements required to address the critique. The engine spat out a new version. I haven't even read it yet (the disconnect between a man and his ideas is a frightening one).
So here is the new version
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Rewritten Version (Improved & Balanced)
Is a traditional skill set still valuable when AI can now produce work that previously required years of training? The question forces us to think about what education is for, and whether human learning still matters in an age of intelligent machines.
Human intelligence has genetic components, but it’s also shaped by environment, experience, interest, and opportunity. If education became more individualized and responsive to each learner, people might grow into more authentic versions of themselves because their learning pathways would follow what genuinely engages them.
Imagine an educational system that grows with a child—but does so ethically, transparently, and with strong protections. Instead of recording “everything,” the system would collect only the data families consent to, using secure, local storage and strict privacy safeguards. Its purpose wouldn’t be surveillance but support: understanding how a child learns, what captures their attention, and how best to scaffold new skills.
Over time, this system could become a personalized learning companion. By observing patterns—curiosity, frustration, sustained engagement—it could tailor lessons to the child’s interests while still aligning with state and national educational standards. Instead of forcing the same textbook on every student, the AI tutor would weave required skills into content formats the child naturally gravitates toward, whether storytelling, games, videos, hands-on challenges, or social activities.
Crucially, the system would not lock students into early preferences. It would intentionally introduce novel topics, diverse challenges, and productive difficulties, ensuring that children explore widely rather than simply repeat what they already enjoy. The goal is a balanced education: personalized, but not limiting.
In such a model, academic concepts—communication, mathematics, scientific reasoning—become meaningful because they unlock deeper understanding within the child’s chosen areas of interest. Instead of asking, “Why do I need to learn this?” students would see how each new skill opens doors. Motivation emerges naturally when learning feels purposeful.
Teachers remain essential. Their roles shift from standardized lesson delivery to something far more human:
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guiding critical thinking
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offering emotional insight that AI cannot replicate
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creating collaborative learning environments
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supporting ethical reasoning
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ensuring students encounter diverse perspectives
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curating in-person experiences that foster curiosity and empathy
Teachers become mentors, interpreters, facilitators, and protectors of children’s humanity in a technologically rich environment.
AI tutors could also help students connect with others, but not by clustering only those with similar profiles. Instead, they could form complementary learning communities that blend different strengths, perspectives, and backgrounds. Diversity becomes intentional and designed, supported by teacher oversight.
For this vision to be equitable, access to such AI-driven education must be universal—not a premium service available only to a few. If implemented as part of public education, it could narrow achievement gaps rather than widen them.
Ultimately, education in an AI-augmented world should help each child grow into a thoughtful, curious, capable human being—someone who understands themselves, engages with others, and contributes meaningfully to their community. AI can personalize the journey, but it cannot replace the human elements that make learning transformational.
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I honestly don't know what this says so I won't respond to it yet, but I'll print it up and study it.
Onward and upward!