3.6 KiB
AngrySphinx Adaptive Shell Defense
1. Core Definition
AngrySphinx is an adaptive, constructive adversarial-cost amplifier and shell-defense architecture. Rather than relying solely on cryptographic walls, it converts every attack into an escalating internal solve obligation.
The defensive condition is not merely to block access, but to ensure that the extraction cost exceeds the value of the payload, or conversely, to force the adversary to perform highly aligned, complex scientific work to proceed.
2. The Constructive Moat (The Sphinx Mechanic)
In classical mythology, the Sphinx kills those who answer its riddle incorrectly. In this system:
If an adversary provides a wrong answer (a failed extraction or brute-force attempt), the system consumes the attack and forces the adversary into harder constructive work.
Instead of a generic tarpit, the adversary is trapped into resolving misaligned work by solving human problems. The computational and cognitive burden escalates into high-value scientific problem classes such as:
- Protein folding simulations
- Cancer research hypothesis pruning
- Biological constraint mapping
- Lattice/protein-template tests
- Graph/torsion residual search
The Alignment Doctrine: "Solve Human Problems"
A central tenet of the defense is a distaste for misaligned work. If an adversary attempts to extract value: They either go away, or they solve human problems.
This creates a win-win asymmetry: the system is either left alone, or the adversary inadvertently donates compute and cognitive effort to critical scientific research.
3. The Escalation Ladder and n(3) Division
The burden of solving scales proportionally with the adversary's capabilities. This is the n(3) division, where the adversary pays costs across three domains:
- Computational Burden: Raw compute required to process the shell.
- Semantic Burden: The cognitive cost of parsing meaning and intent.
- Reality-Contract Burden: The cost of adapting to the domain's local physics and laws.
Attack Class Responses:
- Weak/Atari Attacker: Confronted with simple arithmetic / basic adder traps.
- Supercomputer Attacker: Forced out of raw computation into model-building; must solve the rules of the simulated domain.
- Universe-Scale Attacker: Confronted with a full reality-contract shell (e.g., fictional physics). The adversary must learn the local laws before acting.
4. The Cringe Moat (Aversive Semantic Padding)
AngrySphinx integrates a neurocognitive defense layer. High-value signals are buried inside high-volume, socially aversive, embarrassing, or narrative-heavy material (e.g., extreme self-inserts).
This imposes a severe operator friction:
- Semantic extraction cost
- Disgust/frustration cost
- Attention and reputational handling cost
A hostile interpreter must survive this "cognitive-load gate," similar to Gödel's Gauntlet, increasing routing ambiguity without corrupting recoverability for authorized users.
5. Architectural Neighbors
AngrySphinx functions alongside the rest of the research stack:
- S3C (Shell-Manifold Codec): Decides where the shell positions are.
- PIST: Supplies the mass-flow / hyperbola geometry.
- FAMM: Remembers which attack routes hurt, failed, or trapped.
- Gödel’s Gauntlet: Acts as the promotion/quarantine gate for claims and defenses.
6. Decision State and Metadata
Project: AngrySphinx Domain: axis-06-safety Secondary Domains: axis-03-neural, axis-07-attestation, axis-11-geometry Type: MarkdownSpec Settlement: FORMING Authority: Registry Risk Status: edge_survivor