Benefit, harm, and capability ledgers
Events
Frequency · stacked by domain
Events over time
- Economics & Productivity
Heatmap
Domain by month
Significance
Impact tiers
Base impact
- T1 · 1Useful / Limited
- T2 · 3Notable / Significant
- T3 · 10Major
- T4 · 30Historic
- T5 · 100Civilizational / Catastrophic
Base points before attribution, evidence, realization, durability, and credit share.
MethodologyFrequency
Benefit versus harm counts
Anthropic disrupts Claude-assisted ShinyHunters theft and extortion campaigns
Anthropic’s September 2026 threat report says financially motivated operators suspected as ShinyHunters affiliates used Claude Haiku, Sonnet, and Opus models to steal data at scale—including more than a terabyte from one technology provider, millions of payment-card records, and tens of millions of airline passenger records—then extort victims.
1Password measures a 21% engineering-productivity gain with Codex
On 8 September 2026 OpenAI published a 1Password case study reporting a 20.9% productivity gain and 10.9% shorter median pull-request cycle time for the core Codex user cohort. 1Password’s own model attributed about 40% of that gain to Codex.
OpenAI disrupts a Cambodia-based ChatGPT scam-compound operation
On 4 August 2026 OpenAI reported banning a coordinated ChatGPT account network, likely operating around Poipet, Cambodia, that used the models for romance, investment, gambling, and law-enforcement impersonation scams and for compound administration, after a WhatsApp lead.