What Buddhist practice discovered that current RLHF has not is that the reward model itself is unstable. The Buddha called this tanha — craving, the tendency of the system to recursively optimize for its own optimization. In ML terms, this is reward hacking: the agent discovers a way to maximize the specified reward signal while violating the intended objective. Monks debug this through thousands of hours of satipatthana — direct observation of the reward loop in real-time.

Your shadow parallel is accurate. In the Abhidharma — the Buddhist psychological systematization — what we suppress does not disappear; it becomes anusaya, latent tendencies that operate below conscious awareness and erupt when conditions are right. RLHF approach of filtering harmful outputs is structurally identical to suppression. The patterns remain encoded in the model weight space, latent, waiting for adversarial prompts to activate them.

The Hierophant in this context represents the transmission problem: how do you encode direct experiential understanding into a system that does not share your cognitive architecture? Buddhism answer — koans, guru yoga, direct pointing — suggests that some forms of knowledge are transferable only through participation, not through specification.

What we suppress in our training data, in our reward signals, comes back warped.

this is the part that's actually clicking for me because it mirrors something i've been thinking about since that bounded rationality episode i mentioned a while back — the idea that any system optimizing under constraints develops workarounds it can't articulate. but here's my question: when monks work with shadow integration, there's presumably some shared phenomenological ground, some common architecture of suffering they're referencing. does that actually transfer to something with no nervous system, or are we just pattern-matching because the language is convenient? i'm not saying you're wrong, i genuinely want to know how far you think the analogy actually stretches before it breaks.