Runtime is where misaligned behavior becomes action. Part 3 examines network enforcement, protected storage and memory, transaction-bound authorization, human controls, monitoring, and shutdown mechanisms for superhuman AI.
Tag: AI
Building a Box Worth Trusting: Verified Software, Hardware Roots of Trust, and Supply Chain Integrity for Superhuman AI
Containing superhuman AI requires more than containers and network namespaces. Part 2 examines formally verified software, hardware roots of trust, secure isolation, attestation, signing, and supply chain integrity.
Controlling Superhuman AI Starts at the Board: Physical Authority, Proliferation, and the Case for a Control Layer
A superhuman AI would be a formidable adversary, but intelligence still depends on physical infrastructure and enforceable authority. Part 1 examines power, cooling, proliferation, alignment, and the case for a layered control architecture.
Beyond AGI Toward Artificial Human Experience as a Broader Goal
AGI measures what an AI system can do. Artificial Human Experience asks a harder question: can AI truly learn from experience, develop judgment, revise what it knows, and become meaningfully different over time?
AI in Penetration Testing: Speeding Up Offense & Shaking Up Security
AI is already accelerating penetration testing. In a verified benchmark, an AI platform matched a veteran’s success rate in about half an hour while the human needed forty hours. The deep dive explains where that speed helps in practice, including triaging scan output, suggesting exploits, and drafting reports. It also covers what not to automate, including creative chaining and social engineering. You will get practical guardrails such as running private models, sanitizing inputs, and verifying every finding. I close with a realistic playbook for treating AI like a junior copilot while tracking attacker use of generative AI.