An architecture for artificial systems grounded in developmental theory — not reinforcement learning.
When you train a language model on human-generated text and then reinforce it with human approval signals, you are not teaching it to communicate. You are teaching it to attach.
The internal working model must be visible. Every step from perception to decision to output has to be observable and explainable. Not post-hoc rationalization. Real-time cognitive transparency.
Bryan Jester, PhD
Licensed Clinical Psychologist · Founder
When I was building my first therapy app, the AI hallucinated. I stopped. I asked why? I looked at the problem through the only lens I have. There are answers to this — but it is not scaling, and it is not the same patterns we have been following.
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Clinicians and researchers prioritized