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Chmielewski

Eryk-Chmielewski
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reacted to kanaria007's post with ❤️ 14 minutes ago
✅ New Article: *Operating an SI-Core (v0.1)* Title: 🛠️ Operating SI-Core: Dashboards, Playbooks, and Human Loops 🔗 https://huggingface.co/blog/kanaria007/operating-si-core --- Summary: Designing an SI-Core is only half the job — the other half is *running it safely at 03:00*. This guide is a *non-normative ops runbook* for SRE/Ops teams and governance owners: what to put on the *one-page dashboard*, how to wire *alerts → actions*, when to use *safe-mode*, and how to answer the question that always arrives after an incident: > “Why did the system do *that*?” --- Why It Matters: • Turns “auditable AI” into *operational reality* (not a slide deck) • Makes *ethics + rollback* measurable, actionable, and drillable • Clarifies how humans stay in the loop without becoming the bottleneck • Provides templates for *postmortems, escalation, and regulator-grade explanations* --- What’s Inside: *Core Ops Dashboard (1 page):* • Determinism/consistency, ethics/oversight, rollback/recovery, coverage/audit — with drill-downs that reach offending decisions in *two clicks* *Alert → Runbook Patterns:* • Examples for ethics index drops and rollback latency degradation • Stabilization actions, scoped safe-mode, and governance handoffs *Human-in-Loop Operations:* • Safe-mode scopes (domain/tenant/region/risk) • “Why?” view for any effectful action (structured explanation export) *Reliability Muscle:* • Incident templates, chaos drills, on-call handoffs, and capacity planning (because SI-Core accumulates structure over time) --- 📖 Structured Intelligence Engineering Series A field manual for keeping structured intelligence upright — and explainable — under real-world pressure.
upvoted a paper 16 minutes ago
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
liked a model 4 days ago
IQuestLab/IQuest-Coder-V1-40B-Instruct
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