AI in Energy

What if the most effective AI training isn’t in a lab, but in a haunted basement? MIT’s annual Next Haunt escape room, built by students, tests real-time problem-solving under pressure—where only 16% of teams escaped in 2026. This isn’t just a Halloween tradition; it’s a live simulation of the cognitive load AI must manage in energy systems during crises. The 'paralyzed' teammate mechanic mimics cascading failures in grids, while the need for rapid communication mirrors AI’s role in coordinating distributed energy operations. The winning team escaped in under 15 minutes—proof that the best AI operators don’t replace humans, but amplify teamwork. This year’s event, documented at https://news.mit.edu/2026/next-haunt-scary-problem-set-basement-next-house-1029, reveals how human-machine collaboration is the true edge in energy resilience. How do you train AI for the unexpected? Source: https://news.mit.edu/2026/next-haunt-scary-problem-set-basement-next-house-1029 View and join any or all of our communities — AI, quantum, and real estate: https://alex-companies.com/reports/linkedin-groups If there's an AI, quantum, or real estate community you'd like to see us convene, tell us — this portfolio grows by request.
George Arnold Alexander III, MPA
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Source data: Source: MIT News · Published October 29, 2026
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