Launch HN: Bloomy (YC S26) – AI-powered mastery learning for K-12

How do you solve for "meaning?" Is there some implicit expectation that kids arrive with motivation to discover meaning, or some extrinsic rewards?

As AI essentially commoditizes the mechanical aspects of learning, this is the question we find ourselves asking.

I would like to share our journey running a microschool (where our kids go, along with 40 others now) and how we use AI and what we think about its role.

Some useful context, because this really has informed our approach. I am an engineer turned neuroscientist and the co-author of a popular nonfiction book on the mind (and I share this here because the hard effortful self-driven work of crafting this book taught me more about the mind than anything else in my PhD or later). This work, done during the pandemic when learning was coming online, was what pushed us into setting up the school and gave us the courage to work on it from first principles and not rely on any off-the-shelf alternative pedagogy (montessori, waldorf etc). We looked at (and continue to work on) the full-stack of philosophy, pedagogy, process, practice. So the "what should they learn" is also met with "why should they learn this" and also "how should they be learning this"

The *single biggest* learning for us, which we are now able to articulate clearly, is that schools are set up to fail because there is a well-intentioned but misguided focus on measurement (what are they learning). This gravitational pull results in a focus on mechanics (the most easily measurable thing; long division, periodic tables). This results in a narrow focus on concepts (what David Perkins terms elementitis). Most importantly, what gets left out is meaning. Why should I care about this? With a well-intentioned curriculum and an administration pipette we basically leach out agency and meaning.

So we try to solve for meaning. Our biggest worry with AI is that it focuses entirely on mechanics, with very little meaning. Adults and kids are learning to discount AI-content as automated and inauthentic. We derive meaning from connection. AI can help with the mechanics, but only when meaning has been established. Without this clear-eyed understanding and buy-in we basically have chromebooks all over again, which flattened learning to 2D screens and accomplished nothing (if you look at literacy numeracy scores)

Chatbots are great if you start with meaning and motivation. I already care about the why, so I will socratically find my way to the how and what. But if we do not care about it, which really is the biggest malaise (why should a child who has not yet explored the world or literature they like care about foreshadowing or plot mountains?) Sure, the AI could make it easier, but the kids still need to care?

Wrote about our meaning > motivation > mechanics > measurement revelation and the usual unfortunate inversion here https://blog.comini.in/p/schooling-has-a-meaning-crisis-para...

We need many more people approaching education with ideas and experiments, so thank you and good luck!

You've chosen to use the most generic AI-generated prose, when you could have licensed or hired writers to craft thoughtful, rich passages. I doubt you've consulted any serious standardized test item writers in the construction of what is essentially a standardized test item-based curriculum. This is the pedagogical equivalent of a Lunchable--mass produced, wrapped in plastic, and basically nutrition-free.

For each attempt, I would keep the skill, item variant, number and specificity of hints, revisions, elapsed time, and whether the final reasoning came from the student. Advancement could require an unaided success on a new item plus a delayed check later in the session or on another day. The tutor's own explanation should never count as evidence that the learner mastered the step it just supplied.

This also gives teachers and families a more useful explanation than a single mastery percentage. “Can solve independently, but does not retain it after a day” and “can solve with one conceptual hint” point to different next lessons. That distinction seems especially important when the chat interface is both teaching the skill and measuring it.