GM. This is The Great Unlock, your weekly cheat sheet for the AI revolution in K–12. We filter out the noise, red-pen the bad takes, and give stickers to those earning them.

Today's deep dive: what a neuroscientist and the world's leading researcher on awe accidentally revealed about the design problem with AI in education — and the one comment that reframes it completely.

Let's unlock it.

Andrew Huberman and Dr. Dacher Keltner weren't talking about education. They were talking about something more important.

In the most recent episode of the Huberman Lab podcast, Andrew Huberman sat down with Dr. Dacher Keltner — professor of psychology at UC Berkeley and the world's leading researcher on the science of awe. They talked for two and a half hours about wonder, connection, and the emotional architecture of a well-lived life. The conversation never mentioned EdTech. Never mentioned classrooms. Never mentioned AI strategy.

That is exactly why every district leader building an AI plan should listen to it.

1. WHAT THE RESEARCH ACTUALLY SHOWS

Keltner has spent thirty years studying awe — the emotion that occurs when we encounter something vast that transcends our current understanding of the world. The data is striking. Awe quiets the default mode network, the internal noise machine responsible for anxiety and self-focus. It reduces inflammation. It activates the vagus nerve. In a study of adults seventy-five and older, weekly awe walks produced measurable reductions in physical pain. Six years later, the same group showed better brain health.

Awe is also the mechanism of collective belonging. When brains synchronize at a concert, a sporting event, or in a classroom moment where something genuinely lands — these are neurophysiological events, not soft outcomes. They build the kind of human beings who can handle a hard world.

Keltner is precise about what awe requires. In the episode, he describes technology's relationship with it plainly:

Read that as a diagnostic for your EdTech stack. Most adaptive platforms are optimized for small. They deliver content calibrated to what students already know. They remove friction before it can stretch a student's frame of reference. They measure success by completion. None of those things are awe. They are, in Keltner's framework, its direct opposite.

2. THE SOCIAL MEDIA PARALLEL

The conversation pivoted when Keltner described his concern about social media: algorithmically designed to confirm and provoke, not to expand. Going to movies is down 40%. Shared musical experiences are in decline. We scroll alone. And none of it is memorable — which Keltner notes is one of the clearest signals that something is broken, because genuine awe, by definition, never forgets you.

Then Huberman said the thing that reframes the entire AI in education debate. In discussing whether technology could ever deliver on the human connection it promised, he raised the possibility that AI might be different — that it could offer the opposite of what social media delivered, restoring rather than replacing the conditions for real human gathering, shared attention, and genuine encounter.

He called it optimistic. He wasn't wrong to.

3. THE GREAT UNLOCK THESIS, APPLIED

The core thesis of this newsletter is a deceptively simple inversion: learning should be the constant, and time should be the variable. That is an argument about design. It says the system should bend to the student's developmental arc — not the other way around.

Keltner's awe research extends that argument into the emotional dimension. A learning system built around the constant of student capacity — not just cognitive capacity, but the capacity for wonder, connection, and collective belonging — would look nothing like what most districts are deploying today.

Huberman's point about AI is that the technology could, in principle, help build those conditions at scale. But AI does not solve the design problem. It amplifies whatever design you bring to it. An awe-hostile system powered by AI will kill awe faster and at greater scale. An awe-designed system could deliver something the classroom has always needed more of: time, vastness, and the experience of being part of something that matters.

Not more personalization. More vastness.

What Keltner's research means for the systems you're responsible for.

Keltner didn't study classrooms. He studied veterans, elderly adults, concert audiences, and people standing in front of T-Rex skeletons. But the mechanism is the same wherever it shows up. The implications for K–12 design are direct.

Keltner's design framework for awe is simpler than most district strategic plans. A little nature. Public art. Opportunities for moral beauty. Face-to-face interaction. Collective movement. Big ideas. He notes that cities, gyms, and climbing walls are getting this right. Many schools are not.

The question to bring to your next curriculum conversation: is your AI or EdTech stack making the learning environment bigger or smaller? More fragmented or more integrated? That single lens resolves most of the vendor evaluation problem.

Not smarter tools. Bigger rooms.

The phrase that shows up in every pitch deck — and what to ask about it.

You will hear this in every vendor demo this year. The SEL platform. The community-building feature set. The AI that 'fosters belonging.' It sounds like exactly what Keltner is calling for. Most of the time, it is its direct opposite.

Here is how most platforms actually deliver 'connection.' The student completes an activity. The platform shows them that their classmates also completed the activity. There may be a reaction button. There may be a leaderboard. The student scrolls. The student forgets. Sound familiar?

Keltner's definition of the enemy of awe is not technology — it's self-focus, fragmentation, and the absence of memorable shared experience. A platform that routes every interaction through an individual account and generates individual engagement metrics is not building the neurophysiological conditions for awe and belonging. It is replacing them with the appearance of them.

The test is not what the platform says it does. The test is what students remember a week later. If the honest answer is nothing specific, you have your answer.

  Not togetherness metrics. Togetherness.

Keltner's research confirms what the best teachers have always done.

Keltner describes one of his favorite studies: an awe walk for elderly adults. The instruction was not complicated. Go from small to vast. Look at a leaf. Then look at the whole pattern of leaves. Listen to one child laugh. Then let the whole playground's laughter become a symphony. Small to vast. That was the entire protocol.

The best teachers do this without needing a protocol. They stop the lesson at the moment when something genuinely surprising has surfaced. They wait. They let the silence work. They point at the thing and say — without the word — did you feel that? That is not a soft pedagogical choice. That is awe engineering. It is the most cognitively generous thing a teacher can do, because it is handing the student an experience their nervous system will remember long after the content has faded.

The research Keltner cites is unambiguous on this. Awe is one of the fastest pathways to collective belonging. The shared epiphany in a classroom is not a distraction from the curriculum. It is the curriculum arriving at its destination.

The shout-out this week goes to every teacher who has looked at a schedule and decided to stay in the moment anyway. Who let the bell interrupt something real, instead of letting the bell determine when real things could happen.

Source: Huberman Lab, "Cultivating Awe & Emotional Connection in Daily Life | Dr. Dacher Keltner," April 6, 2026. Keltner, D. (2023). Awe: The New Science of Everyday Wonder.

Not more engagement. More awe.

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That's all the unlock for today. Tune in next week.

Stay awesome, you unlockers!

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