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Edited 9 months ago1 backlinksUpdated monthlyOverdue by 227 days
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Remove legacy pageTemplate frontmatter8 months ago

Removed the legacy `pageTemplate` frontmatter field from 15 MDX files. This field was carried over from the Astro/Starlight era and is not used by the Next.js application.

opus-4-6 · ~10min

Issues1
StaleLast edited 257 days ago - may need review

Safety Generalizability Table

Columns:|
Expected generalization to future AI architectures
Requires (to work)Threatened by
Mechanistic Interpretability
Circuit-level understanding of model internals. High value if it works, but highly dependent on architecture stability and access.
Circuits, probing, activation patching
LOW
  • ✓White-box access available?
  • ✓Representations converge?
  • ✓Architecture stable enough?
  • ✗Heavy scaffolding?
  • ✗Novel architecture emerges?
Training-Based Alignment
Shaping model behavior through training signals (RLHF, Constitutional AI, debate). Requires training access but somewhat architecture-agnostic.
RLHF, Constitutional AI, debate
MEDIUM
  • ✓Training access available?
  • ✓Gradient-based training continues?
  • ✓Single trainable system?
  • ✗Long distillation chains?
Black-box Evaluations
Behavioral testing, capability evals, red-teaming. Only requires query access, relatively architecture-agnostic.
Capability evals, red-teaming, benchmarks
MEDIUM-HIGH
  • ✓Query access available?
  • ✓Behavior predictable enough?
  • ✗Emergent multi-agent behavior?
Control & Containment
Boxing, monitoring, tripwires, capability control. Focuses on constraining systems regardless of their internals.
Sandboxing, monitoring, kill switches
HIGH
  • ✓Sandboxing feasible?
  • ✓Monitoring effective?
  • ✓Capability boundaries clear?
Few threats identified
Theoretical Alignment
Mathematical frameworks, optimization theory, agent foundations. Architecture-independent by nature.
Agent foundations, decision theory, formal frameworks
HIGHEST
  • ✓Math applies to real systems?
Few threats identified
5 safety approaches