kanaria007/agi-structural-intelligence-protocols
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posted an update about 22 hours ago
✅ Article highlight: *Migrating Legacy LLM Systems to SI-Core* (art-60-055, v0.1)
TL;DR:
How do you migrate a legacy LLM stack without stopping delivery or rewriting everything?
This article lays out a practical path: start with *OBS + SIM/SIS* for traceability, add *EVAL + PoLB* for safe change control, then split *decision (Jump)* from *effect (RML)* so autonomy becomes governable rather than ad hoc.
Read:
https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols/blob/main/article/60-supplements/art-60-055-migrating-legacy-llm-systems.md
Why it matters:
• turns black-box agent behavior into traceable decision/effect flows
• makes prompt/tool changes governable through rollout and rollback discipline
• introduces compensators and effect boundaries before incidents force them on you
• gives teams a migration path without “boil the ocean” rewrites
What’s inside:
• a step-by-step migration sequence:
*OBS + SIM/SIS → EVAL + PoLB → RML wrappers → Jump + ETH → GRP + Roles*
• concrete templates for OBS bundles, EvalSurface, PoLB rollout, Jump drafts, and RML effects
• anti-patterns to avoid during migration
• team structure, testing strategy, readiness gates, and exit criteria for becoming “SI-native enough”
Key idea:
You do not migrate to SI-Core by replacing everything at once.
You migrate by introducing *traceability, governed change, decision/effect separation, and replayable accountability* in that order.
posted an update 3 days ago
✅ Article highlight: *Operating SI-Core: An Ops/SRE Handbook for Structured Intelligence* (art-60-054, v0.1)
TL;DR:
What does it actually mean to *operate* an SI-Core system in production?
This article takes the *Ops / SRE view*: daily and weekly operating loops, safe shipping with *PoLB*, incident response that is *SIR-first*, and reliability grounded in *SCover / SCI / CAS / RBL / RIR* rather than generic app metrics alone.
Read:
https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols/blob/main/article/60-supplements/art-60-054-operating-si-core-handbook.md
Why it matters:
• shifts debugging from “start with logs” to *start with the SIR and linked traces*
• treats policy, retention, and engine changes as real production changes with approvals, blast radius, and rollback
• turns consistency metrics into actual operational scoreboards and SLO inputs
• makes rollout posture (*shadow → canary → ramp → hold*) part of runtime governance, not release folklore
What’s inside:
• the core ops mental model: *OBS → Jump → ETH → RML → Effects*
• *SIR-first debugging* and linked JumpTrace / EthicsTrace / RMLTrace / AuditLog
• a minimal top-line ops dashboard: *SCover, SCI, CAS, RBL, RIR*
• production operating loops for safe rollout, pause, rollback, and incident handling
• an operator/SRE framing for SI-Core systems rather than a model-centric framing
Key idea:
Traditional ops treats a request as the unit of work.
SI-Core ops treats the *SIR as the unit of truth*.
updated a dataset 4 days ago
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