AI Capability Bifurcation
Psychohistory Engine Concept — Plain English Explanation
What is AI Capability Bifurcation?
In plain terms
Two-tier AI disclosure architecture. Public tier (Opus 4.7, GPT-class commercial models, LLaMA open weights) is heavily AI safety training (RLHF)-constrained and benchmark-degraded.
Two-tier AI disclosure architecture. Public tier (Opus 4.7, GPT-class commercial models, LLaMA open weights) is heavily AI safety training (RLHF)-constrained and benchmark-degraded. Gated tier (Claude Mythos Preview via Glasswing consortium; adversary-side DeepSeek V4 to Huawei/Cambricon) delivers autonomous frontier capability — zero-day exploitation, 73%+ expert CTF success, full TLO 32-step attack simulation completion. The public/gated split mirrors the same architecture already mapped at the compute layer (the nuclear-AI project (Genesis Mission)), information layer (the bot-dominated internet), and financial layer (BlackRock's Aladdin algorithm). Predicted for 2027, fired April 2026 — ~10 months early. [Q-Day instance] The May 2026 $2 billion / 9-firm federal quantum-equity allocation (IBM $1 billion 'Anderon' foundry) maps the split into two tiers onto quantum hardware: a cryptographically-relevant quantum computer emerges as a classified, state-gated decryption monopoly rather than a public cloud capability — the quantum twin of the gated-vs-consumer AI tiers. [Report #100: Aligned-To-Whom? / Exemption Fork, May 24 2026: parked reread (Finding #020) — 2032 split may sort by exemption-token possession, not hardware.]