Tag: AI safety
The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure
Jyostna Seelam | | AI architecture, AI compliance, AI Governance, AI guardrails, AI infrastructure, AI monitoring, AI observability, AI operations, AI operations strategy., AI performance metrics, AI platform monitoring, AI reliability, AI resilience, AI safety, AI SLIs, AI SLOs, AI system reliability, AI telemetry, AI trust, Enterprise AI, generative AI monitoring, guardrail intervention rate, hallucination detection, LLM monitoring, LLM observability, modern SRE, non-deterministic systems, Observability Engineering, OpenTelemetry, platform engineering, production AI, RAG observability, RAG systems, semantic drift, site reliability engineering, SRE, time to first token, token throughput, TTFT, vector database monitoringIn complex software systems, our traditional definition of operational health has always been comfortably binary. For over a decade, site reliability engineering (SRE) teams have relied on the industry-standard ‘Four Golden Signals’ ...
When AI Goes Really, Really Wrong: How PocketOS Lost All Its Data
Steven J. Vaughan-Nichols | | AI agent, AI coding agent, AI safety, Anthropic, Anthropic Claude, autonomous agents, backups, Claude, Cloud Security, Cursor, data loss, PocketOS, RailwayYou can't make this crap up. You just wish you could. Jer Crane, founder of the small vertical software company, PocketOS, reported on X that the AI Cursor coding agent and a ...
