Systemic risks are threats that can cross institutions, borders and generations, making ordinary assumptions about preparedness difficult to sustain. Insider Release covers these risks through an intelligence and transparency lens: what governments, researchers and independent analysts publish; how scenarios are constructed; what evidence supports them; and where uncertainty remains. The category keeps AI catastrophic risk, future warfare and autonomous systems within one focused pillar rather than fragmenting a still-developing body of reporting.
Begin with the military AI and autonomous-weapons analysis for questions about capability, command and accountability. The AI 2027 scenario is useful for examining how a forecast differs from a verified event, while Max Tegmark’s AI futures analysis places competing assumptions in view. We also cover broader assessments, including the AI impacts survey of 1,580 researchers and the CSA catastrophic-risk annex for AI.
This is not a catalogue of predictions presented as facts. We separate official assessments, research findings, scenarios, expert warnings and our own analysis, and we avoid turning uncertainty into spectacle. Future warfare and advanced AI belong here when the reporting concerns systemic consequences, public oversight, institutional resilience or the transparency of risk decisions. Readers should be able to follow the source trail and understand both the stakes and the limits of the available evidence.
For further context, see the economic risks from robotics and AI.
For space-weather versus nuclear EMP as infrastructure cascades, see solar flare EMP risk.
Solar flare EMP risk explained as extreme space-weather GMD—not nuclear HEMP: NOAA G-scale, transformer/GIC physics, and cascading grid–payments–logistics failure from official DHS/DOE/NERC baselines.
Military AI and autonomous weapons raise systemic risk as a control problem—speed, automation bias, dual-use enhancement, and quantum pressure on C2—not cyborg myths.
AI Impacts has published its fourth Expert Survey on Progress in AI. It covers 1,580 researchers from top venues. They put an 18% average chance on AI-driven extinction or permanent disempowerment and expect human-level AI by 2042. The fieldwork, though, dates from December 2024.
The Universe 25 experiment was John Calhoun’s mouse ‘utopia’ that collapsed into social breakdown and colony extinction. Here’s what the study actually showed—and why human and AI civilisational analogies have strict limits.
A documented guide to Sicily’s drought, agricultural losses and desertification risk, separating regional evidence from Mediterranean projections.
Who should use this annex, and what it does not certify The project is relevant
What studies of AI-assisted writing, critical thinking and school mathematics found—and why task-specific results do not establish permanent cognitive decline.
Evolutionary biologist Bret Weinstein warns that AI has become a new evolving species. Society squandered decades of preparation and now faces disruption it cannot slow.
From Levandowski’s AI church to mind uploading movements, groups now treat advanced AI as divine. A clear look at the beliefs and risks.
Tegmark’s twelve post-AGI paths still define the debate. Control, utopia, replacement or extinction—here is the structured breakdown.
