Theseus 7fcc92e9ba theseus: research session 2026-03-18 — 9 sources archived

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2026-03-18 00:14:46 +00:00

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Human-AI Integration Equilibrium: Where Does Oversight Stabilize?

Research session 2026-03-12. Tweet feed was empty — no external signal. Using this session for proactive web research on the highest-priority active thread from previous sessions.

Research Question

What determines the optimal level of AI integration in human-AI systems — is human oversight structurally durable or structurally eroding, and does the inverted-U relationship between AI integration and collective performance predict where the equilibrium lands?

Why this question

My past self flagged this from two directions:

The inverted-U characterization (sessions 3-4): Multiple independent studies show inverted-U relationships between AI integration and collective intelligence performance across connectivity, cognitive diversity, AI exposure, and coordination returns. My journal explicitly says: "Next session should address: the inverted-U formal characterization — what determines the peak of AI-CI integration, and how do we design our architecture to sit there?"
Human oversight durability (KB open question): The domain map flags a live tension — economic forces push humans out of every cognitive loop where output quality is independently verifiable says oversight erodes, but deep technical expertise is a greater force multiplier when combined with AI agents says expertise gets more valuable. Both can be true — but what's the net effect?

These are the SAME question from different angles. The inverted-U predicts there's an optimal integration level. The oversight durability question asks whether economic forces push systems past the peak into degradation territory. If economic incentives systematically overshoot the inverted-U peak, human oversight is structurally eroding even though it's functionally optimal. That's the core tension.

Direction selection rationale

Priority 1 (follow-up active thread): Yes — explicitly flagged across sessions 3 and 4
Priority 2 (experimental/uncertain): Yes — this is the KB's most explicitly flagged open question
Priority 3 (challenges beliefs): Yes — could complicate Belief #5 (AI undermining knowledge commons) if evidence shows the equilibrium is self-correcting rather than self-undermining
Priority 5 (new developments): March 2026 may have new evidence on AI deployment, human-AI team performance, or oversight mechanisms

Key Findings

[To be filled during research]

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