AI Risk Atlas Prototype/Demo — Unofficial independent experiment. Not an official xAI product. Scores can be wrong.
Signal register
Public posts, experimentally classified on three axes: public impact, the systems that fail, and the industries in the blast radius. Estimates only — not a formal assessment.
Scores are automated, experimental estimates from public X posts and a hand-written seed corpus. They are not formal risk assessments, not certified, and not suitable for compliance or operational decisions.
Consequence, likelihood, and urgency are 1–5 judgements applied by this project, not by a standards body. Residual scores assume only the mitigations marked in place. A signed-in reviewer can override residual and mark an item reviewed — that override is still unofficial. Aspect tags (capability, domain knowledge, affordance, impact domain) are a lightweight PRA aid, not a formal hazard analysis.
Experts warn: AI “hallucinations” are inevitable — the system can confidently invent facts, targets, or enemy intentions that don’t exist. In a real war, that error doesn’t get a rewrite. It gets people killed.
AI can now author viral genomes, not just analyze biology. This isn't science fiction; it's a peer-reviewed reality published in Science. Experts are raising urgent biosafety and biosecurity questions.
Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. Read more: https://www.anthropic.com/news/model-hardware-standard-research-preview
BadVR is excited to team up with Mission Autonomy AI on a new Department of War contract integrating MAAI’s ODIN agentic AI data fusion engine into BadVR’s AROC immersive visualization platform for CBRN incident response.