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Today’s AI is Economically Unsustainable for Education

Michael Feldstein · Jun 16, 2026 · Leave a Comment

It’s the economics, stupid.

This is not about the Canvas Hack

Michael Feldstein · May 22, 2026 · Leave a Comment

One reason I haven’t commented on the Canvas hack yet is that I swore off writing about LMS news years ago. But this story isn’t really about Canvas or LMSs. It’s about the fact that education, through educational technology, is under attack by sophisticated cybercriminals. They started with hospitals some time ago. Now they’re coming […]

e-Literacy and Changing Times: Emerging Themes for Learning Impact

Michael Feldstein · May 19, 2026 · 4 Comments

I wrote “Dammit, the LMS” in 2014. The diagnosis still holds. What’s changed is that I now work at the place that’s structurally positioned to do something about it — and AI is forcing the conversation EdTech has been postponing for two decades. Some thoughts ahead of 1EdTech’s Learning Impact conference.

Claude Interviews Me About How AI Works

Michael Feldstein · May 3, 2026 · 2 Comments

Claude Opus and I discuss the myths and possibilities about how AIs work, focusing on my paper, “Distinctions Worth Preserving”.

The Missing Pieces of the Skills Economy are the Skills and the Economy

Michael Feldstein · Apr 21, 2026 · 2 Comments

An economy is based on how we decide to value something. “Skills” as items of value in an economy do not have stable value or even a stable definition. We can have a skills economy. We just need to accept that the definition and value of a skill in an economy comes from agreement among market participants, not from an ontology.

An Explanation of AI that Could Be Wrong (Which is Good)

Michael Feldstein · Apr 14, 2026 · Leave a Comment

I haven’t been writing much in the past two years because I’ve been going back to school, after a fashion. I’ve been trying to apply everything I’ve learned in the cognitive sciences to what I’m learning about AI. This post finally shares my passion project.

Literally Nobody Understands AI. That’s bad.

Michael Feldstein · Mar 23, 2026 · Leave a Comment

AIs have weird failure modes that we don’t understand yet. That’s likely because the industry has not been rigorously studying them yet. We need to recognize the reality of where we are so we can minimize risk of disasters.

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