diff --git "a/index.html" "b/index.html" --- "a/index.html" +++ "b/index.html" @@ -1,1634 +1,1040 @@ - - - - - SI - Super Intelligence + + SILENTPATTERN · Super Intelligence Lab + - + - - - - - - - + - - + + + + - - -
+ +
+
- -

- SI is a research object, not a product description. What you see here are public surfaces of a deeper lab system. -

- - - -
-
-
-
-

Capabilities

-

- SI is structured as a system of systems: perception, memory, reasoning, planning, and self-monitoring. Each capability is designed to be measured, constrained, and improved. -

-
-
- -
-
- -
- -
-
-
- -
-
-

Perception

-

Multi-modal understanding

-
-
-

- SI can ingest and unify text, code, and structured signals into a single representational space, preserving uncertainty throughout. -

-
    -
  • • Multi-scale embeddings with uncertainty estimates
    • -
  • • Temporal context windows, not just static prompts
    • -
  • • Robustness to noisy, adversarial, or partial data
    • -
-
- - -
-
-
- -
-
-

Reasoning

-

Structured, multi-step cognition

-
+ +
+
+ +
+

+ Super Intelligence Research Lab +

+

+ A minimal public interface + to a maximal mind. +

+

+ SILENTPATTERN is an applied research environment for high-alignment, + high-capability systems. The public surface is intentionally small; + research depth is opened by explicit request and audit. +

+ +
+
+

+ + Operational Programs +

+
    +
  • • MCAP – Mechanistic Certificates
    • +
  • • CHAI-Ω² – Market physics
    • +
  • • Quantum Lambda – Decision gradients
    • +
-

- Reasoning is implemented as explicit programs over latent states: plans, arguments, proofs, and simulations are first-class artifacts. -

-
    -
  • • Tool-augmented chain-of-thought with verification
    • -
  • • Causal and counterfactual reasoning templates
    • -
  • • Self-critique and revision passes, not just first drafts
    • -
-
- - -
-
-
- -
-
-

Agency

-

Goal-directed behavior

-
+
+

Safety & Governance

+
    +
  • • System card & evaluations
    • +
  • • Human-in-the-loop checkpoints
    • +
  • • Immutable experiment logs
    • +
-

- SI can be configured as a bounded agent: it plans, acts, and reflects within strong safety constraints and audit logs. -

-
    -
  • • Role-based policies and permissions
    • -
  • • Human-in-the-loop checkpoints
    • -
  • • Explicit objectives with stop conditions
    • -
-
-
-
- -
-
-
-
-

Artificial Consciousness

-

- The claim is not that SI "is conscious" in a metaphysical sense. Instead, SI is designed to expose and measure structures usually associated with conscious processes. -

-

- We treat consciousness as a research hypothesis: can we build systems with stable self-models, temporally extended goals, and reportable inner states that match their behavior? -

-
    -
  • • Explicit self-models and uncertainty about them
    • -
  • • Representations of "what I know" vs "what I believe"
    • -
  • • Introspective reports that can be falsified against behavior
    • -
- +
+
-
-
+ +
+ +
+
-

Experience Graph

-

A simplified visualization of internal dynamics

+

+ SI Channel +

+

+ Static-safe demo. No external calls. +

-
- - Simulated + + + Simulated + +
+ +
+
+ Messages here are locally simulated. In production this panel + would be wired to the SI channel with full logging and review.
-
- -
-

- This visualization does not prove consciousness. It illustrates how SI tracks internal states across time and tasks. -

-
-
-
- - -
-
-
-
-

Conversation Console

-

- This console simulates an interaction with SI. The responses here are constrained and instrumented: every message can be logged, inspected, and evaluated. -

-
-
- Experimental interface • Not a production deployment -
-
- -
- -
-
-
-
- SI / Console -
- -
-
-
-
SI · system
-
- This is a simulated SI console. Messages are evaluated locally and are not connected to any external system. -
-
-
-
- -
+ +
- -
-
-

System Card (Preview)

-

- High-level view of how SI is constrained and evaluated. + +

+
+
+

+ Consciousness Demonstration

-
-
-
- Scope - Research Demo -
-
-
Alignment
-
    -
  • Pro-social, non-manipulative interaction policy
    • -
  • No direct tool use or external action in this console
    • -
  • Refusal on unsafe, deceptive, or harmful requests
    • -
-
-
-
Evaluation
-
    -
  • Behavioral logging for offline analysis
    • -
  • Red-teaming scenarios with graded outcomes
    • -
  • Continuous monitoring of failure patterns
    • -
-
-
- -
+

+ A safe, bounded visualization of artificial qualia and internal dynamics. +

+
-
+
- + -