Multi-Perspective Reasoning Without Compression
Most AI systems compress everything into a single "best" answer, averaging away disagreement and flattening nuance. Savanax preserves the disagreement. 18 philosophical frameworks analyse decisions independently—then we map the tensions between them.
The Savant Cognition Insight
Savant cognition research shows something counterintuitive: exceptional abilities often emerge when normal "top-down" neural compression is reduced. Where most brains automatically categorise and average sensory input, savants sometimes perceive raw detail—seeing what's actually there rather than what they expect.
rTMS studies demonstrate this can be temporarily induced: suppress the "averaging" circuits and latent perceptual abilities emerge.
The question: What if we could suppress AI's Bayesian priors the same way?
The Mechanism: Corpus Isolation
Large Language Models blend everything in their training data into smooth, consensus-seeking responses. Savanax prevents this through architectural isolation.
Traditional LLM
- xSingle model sees all training data
- xCompeting viewpoints averaged together
- xMinority perspectives diluted
- xConflicts resolved into consensus
Savanax Approach
- +18 separate RAG branches with isolated corpora
- +Each framework grounded in its own literature
- +No cross-contamination between perspectives
- +Tensions preserved and mapped explicitly
18 Philosophical Frameworks
Each framework has its own corpus, embedding space, and prompting strategy. They don't know what the other frameworks think—until the synthesis layer maps their disagreements.
Kantian Ethics
Universal moral law, duty-based reasoning
Utilitarian
Consequential analysis, greatest good
Care Ethics
Relational impact, vulnerability consideration
Virtue Ethics
Character development, practical wisdom
Disability Studies
Social model, inclusion by design
Power-Structural
Systemic inequality, hidden assumptions
Ecological
Environmental impact, sustainability
Indigenous
Long-term thinking, relationality
Pragmatist
Practical consequences, what works
Existentialist
Authenticity, individual meaning
Stoic
Resilience, what can be controlled
Buddhist
Interdependence, suffering reduction
Confucian
Social harmony, role obligations
African Ubuntu
Community interconnection, humanity
Feminist
Gender dynamics, invisible labour
Legal-Regulatory
Compliance, precedent, liability
Economic
Resource allocation, incentives
Technological
Implementation feasibility, technical debt
System Architecture
23 microservices orchestrated to maintain strict isolation while enabling meaningful synthesis.
Ingestion
Gather diverse source material for isolated corpora
Processing
Maintain strict separation between philosophical frameworks
Reasoning
Generate independent viewpoints without cross-contamination
Synthesis
Surface disagreements instead of averaging them away
Presentation
Present the full spectrum of analysis to humans
Interactive Architecture
Explore the full Savanax system. Click on any node for details, and use the flow buttons to follow data through the pipeline.
Applications
Where does multi-perspective reasoning without compression actually matter?
Policy Analysis
When stakeholders have genuinely different values, averaging isn't neutral—it's political. Savanax surfaces what each framework would prioritise and why.
Ethical Decisions
Complex ethical questions don't have consensus answers. Instead of pretending they do, map the full landscape of reasonable disagreement.
Research Synthesis
Academic fields often have competing paradigms. Savanax can analyse evidence through each paradigm's lens without collapsing into false consensus.
Commentary Platform
The aXai platform uses Savanax to generate multi-voice commentary on disability and technology topics—preserving disagreement as a feature, not a bug.
Technical Stack
Interested in Multi-Perspective AI?
Whether you want to apply this architecture to your own domain or just want to discuss the research, I'd love to hear from you.