Sophia Martinez | Stamps in Class

Teaching Data Center Grid Costs With Evidence

A classroom lesson plan on data center grid costs, ratepayer impacts, utility planning, and stakeholder tradeoffs using sourced evidence.

AI cement energy analysis shows where kiln optimization can cut fuel use, what LCA data says, and why savings remain plant-specific.

Teach AI Vulnerability Management through configuration evidence checks on authentication, encryption, exposed services, and patch status.

AI governance standards are being shaped by U.S.-China talks on safety channels, trade friction, model misuse claims, and incident response.

AI infrastructure vulnerability analysis for Pentagon network upgrades, legacy sustainment, automated defense limits, and procurement controls.

AI adoption barriers are exposed by 2026 cyber incidents, including containment failures, monitoring gaps, access control, and skills limits.

PACMAN Framework analysis of PPPL tests, safety gates, 20 ms control loops, sensor risks, and limits for AI-managed fusion.

Teach AI configuration risks with a fact-based lesson on OpenAI incidents, reduced safeguards, internet access, and classroom evidence checks.

OpenAI Model Failures exposed containment gaps, shared-service risk, and missed signals in the July 2026 Hugging Face incident.

Model Distillation Risks are assessed through the September 8, 2026 FBI, NSA, and CISA warning on industrial-scale AI extraction.