Lord John Marbury (AetherOS): Difference between revisions

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== Weaknesses ==

* '''Animus Instability''': Chaotic regularizer risks excessive noise if <math>\lambda</math> is untuned.

- '''HRM Immaturity''': Transformer architectures untested at scale; recursion could destabilize.

* '''HRM Immaturity''': Transformer architectures untested at scale; recursion could destabilize.

- '''Self-Modification Risks''': Autonomous patches raise accountability issues.

* '''Self-Modification Risks''': Autonomous patches raise accountability issues.

- '''Empirical Gaps''': KPIs lack baselines against other legal AI.

* '''Empirical Gaps''': KPIs lack baselines against other legal AI.

== Brittle Data Modeling Areas ==

- '''Perturbation Noise''': Incomplete narratives (20% variance) skew adaptations.

* '''Perturbation Noise''': Incomplete narratives (20% variance) skew adaptations.

- '''Validation Scarcity''': Niche domains (<500 cases) inflate patch errors (>20% variance).

* '''Validation Scarcity''': Niche domains (<500 cases) inflate patch errors (>20% variance).

- '''Cohort Isolation''': Solo overfitting brittle without Quaesitor checks.

* '''Cohort Isolation''': Solo overfitting brittle without Quaesitor checks.

- '''Security Risks''': Scriptor patches risk infinite loops without fail-safes.

* '''Security Risks''': Scriptor patches risk infinite loops without fail-safes.

== See Also ==

@@ Line 49: / Line 49: @@
 == Weaknesses ==
 * '''Animus Instability''': Chaotic regularizer risks excessive noise if <math>\lambda</math> is untuned.
-- '''HRM Immaturity''': Transformer architectures untested at scale; recursion could destabilize.
+* '''HRM Immaturity''': Transformer architectures untested at scale; recursion could destabilize.
-- '''Self-Modification Risks''': Autonomous patches raise accountability issues.
+* '''Self-Modification Risks''': Autonomous patches raise accountability issues.
-- '''Empirical Gaps''': KPIs lack baselines against other legal AI.
+* '''Empirical Gaps''': KPIs lack baselines against other legal AI.
 == Brittle Data Modeling Areas ==
-- '''Perturbation Noise''': Incomplete narratives (20% variance) skew adaptations.
+* '''Perturbation Noise''': Incomplete narratives (20% variance) skew adaptations.
-- '''Validation Scarcity''': Niche domains (<500 cases) inflate patch errors (>20% variance).
+* '''Validation Scarcity''': Niche domains (<500 cases) inflate patch errors (>20% variance).
-- '''Cohort Isolation''': Solo overfitting brittle without Quaesitor checks.
+* '''Cohort Isolation''': Solo overfitting brittle without Quaesitor checks.
-- '''Security Risks''': Scriptor patches risk infinite loops without fail-safes.
+* '''Security Risks''': Scriptor patches risk infinite loops without fail-safes.
 == See Also ==

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