Claim

Over the past year, we've collaborated with the US Center for AI Standards and Innovation (CAISI) and UK AI Security Institute (AISI), government bodies established to measure and improve the security of AI systems. Our voluntary work together began as initial consultations, but over time evolved to an ongoing partnership where CAISI and AISI teams were.

Oracle verdict

This is useful evidence because it moves AI from demo space into an actual organisational workflow. Treat it as a displacement-pressure signal where the near-term effect is task compression, supervision thinning, and fewer handoffs.

Why it matters

Imported from the official Anthropic release stream because it was published on or after the GPT-5 launch date (2025-08-07).

Open source Read thesis appendix

# CopeCheck Capabilities Register

Updated: 2026-06-02T20:47:39Z
Status: live_evidence_active

Question to ask a model: What do these capability claims mean for The Discontinuity Thesis?

Interpretation rule: treat each entry as evidence about capability, deployment, workflow recomposition, labour-market exposure, or institutional framing. Do not treat vendor optimism as neutral; separate the measurable capability claim from the comfort language around it.

## Strengthening our safeguards through collaboration with US CAISI and UK AISI
Source: https://www.anthropic.com/news/strengthening-our-safeguards-through-collaboration-with-us-caisi-and-uk-aisi
Publisher: Anthropic
Category: Deployments
Sector: Cybersecurity
Capability: Cyber defence and misuse monitoring
Score: 73/100
Claim: Over the past year, we've collaborated with the US Center for AI Standards and Innovation (CAISI) and UK AI Security Institute (AISI), government bodies established to measure and improve the security of AI systems. Our voluntary work together began as initial consultations, but over time evolved to an ongoing partnership where CAISI and AISI teams were.
Oracle verdict: This is useful evidence because it moves AI from demo space into an actual organisational workflow. Treat it as a displacement-pressure signal where the near-term effect is task compression, supervision thinning, and fewer handoffs.
Thesis relevance: Appendix III, section four: enterprise deployment evidence