From ea7905bb488fbefb464b088586e1b71776ec154b Mon Sep 17 00:00:00 2001 From: TheFlow Date: Sun, 26 Oct 2025 12:01:22 +1300 Subject: [PATCH] fix(i18n): remove all hardcoded text from architecture.html - complete i18n coverage --- public/architecture.html | 46 ++++++++++++++++++++-------------------- 1 file changed, 23 insertions(+), 23 deletions(-) diff --git a/public/architecture.html b/public/architecture.html index 09e1047d..bbc1ec0e 100644 --- a/public/architecture.html +++ b/public/architecture.html @@ -59,7 +59,7 @@

- The Challenge: Behavioral training (Constitutional AI, RLHF) shows promise but can degrade under adversarial prompting, context pressure, or distribution shift. + The Challenge:

Our Approach: External architectural enforcement that operates independently of the AI's internal reasoning—making it structurally more difficult (though not impossible) to bypass through prompting. @@ -97,23 +97,23 @@

@@ -128,23 +128,23 @@ @@ -325,7 +325,7 @@ - Tip: Click the central "T" to see how all services work together +

@@ -354,7 +354,7 @@

-

Click any service node in the diagram (colored circles) or the central "T" to learn more about how Tractatus enforces AI safety.

+

@@ -466,23 +466,23 @@
  • - No dedicated red-team testing: We don't know how well these boundaries hold up against determined adversarial attacks. +
  • - Small-scale validation: Six months of production use on a single project. Needs multi-organization replication. +
  • - Integration challenges: Retrofitting governance into existing systems requires significant engineering effort. +
  • - Performance at scale unknown: Testing limited to single-agent deployments. Multi-agent coordination untested. +
  • - Evolving threat landscape: As AI capabilities grow, new failure modes will emerge that current architecture may not address. +
@@ -490,23 +490,23 @@
  • 🔬 - Independent researchers to validate (or refute) our findings +
  • 🔴 - Red-team evaluation to find weaknesses and bypass techniques +
  • 🏢 - Multi-organization pilot deployments across different domains +
  • 🤝 - Industry-wide collaboration on governance standards and patterns +
  • 📊 - Quantitative studies measuring incident reduction and cost-benefit analysis +