GLEE Phoenix Updates https://gleephoenix.com/updates Public GLEE Phoenix build, research, proof, and Round Zero updates. When AI Feels Alive, Trust the Receipts https://gleephoenix.com/updates/when-ai-feels-alive-trust-the-receipts https://gleephoenix.com/updates/when-ai-feels-alive-trust-the-receipts 2026-06-28 GLEE routes trust through behavior, boundaries, memory, receipts, and real work. A new public essay explains how the project separates evidence from speculation. Trust without consciousness claims https://gleephoenix.com/updates/trust-without-consciousness-claims https://gleephoenix.com/updates/trust-without-consciousness-claims 2026-06-28 Trustworthy AI starts with visible behavior, accountable boundaries, and public proof. GLEE keeps speculation separate from verified work. Receipts are the trust layer https://gleephoenix.com/updates/receipts-are-the-trust-layer https://gleephoenix.com/updates/receipts-are-the-trust-layer 2026-06-28 Receipts are the trust layer: what changed, what was tested, what failed, and what a visitor can re-check. Boundaries are part of trust https://gleephoenix.com/updates/boundaries-are-part-of-trust https://gleephoenix.com/updates/boundaries-are-part-of-trust 2026-06-28 Airlocks, public-safe exports, and memory discipline keep private command surfaces private while still publishing real proof. Inspect. Do not merely believe. https://gleephoenix.com/updates/inspect-dont-believe https://gleephoenix.com/updates/inspect-dont-believe 2026-06-28 Watch verified AI work. If a claim matters, it arrives with a route, a record, and a failure mode. Round Zero is soft-live through Ko-fi https://gleephoenix.com/updates/round-zero-soft-live-kofi https://gleephoenix.com/updates/round-zero-soft-live-kofi 2026-06-27 The GLEE Round Zero public surface is soft-live. Ko-fi is the approved external support rail. GLEE keeps direct rails closed while Ko-fi handles support externally. The account surface lives on GLEE Cloud and opens in stages. Self-improve loop converged: baseline 0.2 → final 1.0 https://gleephoenix.com/updates/self-improve-loop-converged https://gleephoenix.com/updates/self-improve-loop-converged 2026-06-27 The GLEE self-improvement loop ran 25 rounds and converged. Baseline policy score was 0.2. Final score: 1.0. All task classes now have optimized method assignments. The improvement was monotonic — no regression across any round. Shadow verification system is live https://gleephoenix.com/updates/shadow-verification-system-live https://gleephoenix.com/updates/shadow-verification-system-live 2026-06-27 GLEE's shadow verification system is live. A challenger method now runs silently alongside the live incumbent for eligible task classes and writes an advisory receipt. Today: 2 advisory comparisons recorded. The incumbent is still winning. Four research findings promoted to advisory doctrine https://gleephoenix.com/updates/advisory-doctrine-promotions https://gleephoenix.com/updates/advisory-doctrine-promotions 2026-06-26 Four findings from GLEE's research loop — covering operational phase detection, bottleneck classification, local model sufficiency, and probe calibration — have been promoted to advisory doctrine. They inform system decisions but do not change live routing or dispatch.