PhD Research Architect: Taste & Agent Steering Simulator

Steering & Epistemology ARCHITECT

Researcher Stance Taste vs Blind Delegation

Research Domain Scenario

Verification Stringency (Tau) 0.82

Low stringency accepts plausible hallucinations; high stringency requires formal proof kernels or counterexample survivorship.

Concurrent Autonomous Threads 4

1 literature synthesizer, 1 conjecture formalizer, 1 adversarial counterexample agent, 1 empirical ablation worker.

Research Flight Telemetry Live Metrics

Active Branches 3 Optimal width

Novelty Index 88 Deep theoretical link

Hallucination Rate 0.04 Bounded error

Breakthroughs 2 Formal kernels verified

Pruned Fallacies 5

Seductive benchmark restatements and circular proofs eliminated before compute waste.

Conjecture Inspector VERIFIED

Implicit Bias via Stochastic Gradient Flow

ID: node-3-sgd-invariance • Depth: 3 • Confidence: 94.8%

Active Mathematical Conjecture

lim_{t → ∞} θ(t) = argmin_{θ: f(X;θ)=y} ||θ - θ_0||_{Riem} under non-convex manifold geodesics.

Agent Swarm Stream Live verification passes

Architect's Axiom

"The AI becomes the amplifier. But your understanding determines what gets amplified. Knowing when a result is genuinely novel vs a restatement of known mathematics is the entire human role."