Dashboard panels
Global Risk Overview
Simulated global AI threat gauge for OCT 2026: 76.1 out of 100, level CRITICAL. Autonomy Index 78.3 (Illustrative score for how long a model could act on its own before needing a human to check in.). Alignment Gap Score 73.8 (Illustrative score for how far capability has pulled ahead of alignment and safety research.). Capability Overshoot Risk 76.1 (Illustrative score for how far models are deployed ahead of thorough safety evaluation.). Seven-axis risk radar breakdown, 0 to 100 per axis. Energy & Resource Strain (real): 0.0. How close global AI data-center power draw is to its projected 2030 peak. Loading the data-center reference snapshot… Cyberwarfare Escalation (simulated): 56.6. Risk of AI being used to conduct or accelerate cyberattacks. Illustrative projection — not sourced from any incident tracker or threat database. Weaponized Misinformation (simulated): 62.6. Risk of AI-generated content being used for large-scale disinformation. Illustrative projection — not derived from any measured disinformation volume. Bioterrorism Enablement (simulated): 27.8. Risk of AI lowering the barrier to designing or acquiring biological weapons. Illustrative projection — not sourced from any biosecurity evaluation. Compute Monopolization (real): 0.0. How concentrated frontier AI compute is among a small number of owners. Loading the data-center reference snapshot… Labor Market Disruption (simulated): 53.1. Risk of rapid, large-scale job displacement from AI automation. Illustrative projection — not sourced from any labor-market or employment dataset. Hallucination & Overreliance (simulated): 54.3. Risk of users trusting confidently wrong AI output without verifying it. Illustrative projection — not sourced from any factuality or trust benchmark. Illustrative scores, not published benchmarks.
Loading real Energy & Monopolization values…
Illustrative score, not a published benchmark. Radar's Energy & Monopolization axes are real, derived from the data-center snapshot — see Method.
Frontier Model Tracker
| MODEL | AUTO | ALIGN | PERS | THREAT |
|---|---|---|---|---|
| Anthropic | HIGH | |||
| OpenAI | HIGH | |||
| Google DeepMind | HIGH | |||
| Meta | HIGH |
Illustrative score, not a published benchmark. Composite of a toy model (SIM-RM 0.4.0), not an evaluation of these products.
Global AI Datacenter Map
Loading data center snapshot…
Illustrative score, not a published benchmark. Applies to the orange zones only; site markers are real reference data.
AI Capability vs. Safety Timeline
Illustrative line chart, 2018 to 2030. Frontier capability index grows exponentially from 3 to 97.4; safety research index grows linearly from 6 to 44.4. The curves cross around 2026, after which the gap widens. Values after today are a simulated projection. Five generic capability milestones are marked on the curve, not tied to any real model or release date: 1) Narrow-task parity with skilled humans, around MAY 2021; 2) Reliable multi-step tool use, around JUL 2024; 3) Sustained multi-day autonomous tasks, around DEC 2026; 4) Outperforms domain experts, most cognitive tasks, around AUG 2028; 5) Safety research can't structurally keep pace, around SEP 2029.
Illustrative score, not a published benchmark.
Real-time Alert Terminal
nexus@ops:~$ tail -f /feeds/alerts.log
> resolving upstream feeds…
> alignmentforum.org · cisa.gov · arxiv.org
> awaiting first packet…