2.0B Neural Engine Online GQA 20:4 · 28 Layers Continuous Plasticity Active Convex: dependable-swordfish-420
General Discussion Mode: Auto MoE
Welcome to Continual AI. I am conditioned on the 2.0 Billion parameter Continual Transformer with dynamic Mixture-of-Experts routing, KV-cache acceleration, and dual-system memory consolidation.

Ask me a query, or teach me new facts in the Living Memory tab. My synaptic weights and memories adapt continually without catastrophic forgetting.
Interactive Memory Studio
Living Episodic Knowledge Base · Provenance-Tracked Vectors · Zero-Drift Protection
Total Memories --
Active Contexts --
Avg Epistemic Surprise --
Memory Footprint --
Teach New Memory
Instant Observation

Every ingested fact is vector-indexed with provenance and immediately available for grounded reasoning.

Vector Similarity Probe
Real-time Cosine

Test how any query or hypothesis scores against active episodic vectors before grounded generation.

Episodic Knowledge Explorer
Loading living memories...
Fast-Trace Associative Matrix (Hippocampal Fast Tier)

Sub-millisecond associative plasticity buffer that rapidly binds novel query-target vectors prior to slow consolidated weight promotion.

Dimension128 × 128 (Float64)
Learning Rate (η)0.1500
Weight Decay (λ)0.0050
Total Plastic Writes142 updates
Candidate Weight Promotion Journal

Safe-mode continuous learning gate: weight updates are proposed, evaluated across held-out anchors, and promoted without catastrophic regression.

{
  "safe_mode": true,
  "journal_status": "LOCKED_ADVISORY",
  "held_out_drift": "0.0000 bits",
  "active_candidates": 0,
  "last_promotion": "APPROVED_BIT_EXACT"
}
Autonomous Sleep & Dreaming Cycle (Phase 6.4)

Biological consolidation engine: replays high-salience memories, synthesizes contrastive dream queries, anneals fast Hebbian traces, and verifies zero catastrophic forgetting.

Cycle Status
AWAKE / READY
Synaptic Energy Dissipated
0.0000 ΔE
Zero-Forgetting Audit
0.0000 bits drift
Live Synthetic Dream & Consolidation Log
// Awaiting sleep cycle activation...
Self-Directed Curiosity & Standing Sleep Daemon (Phase 6.5)

Proactive inquiry engine: scans episodic vector space for epistemic uncertainty, formulates exploration hypotheses, and maintains an autonomous non-blocking sleep daemon.

Active Proactive Inquiries & Hypotheses
[Sparse Frontier] What happens at the boundary conditions of distributed RoCE networking under packet loss? Uncertainty: 0.78
Rationale: High epistemic sparsity detected in infrastructure vector cluster.
2.0B Mixture-of-Experts Architecture
2,000,512,000 Parameters
Transformer Layers
28
Hidden Dimension
d = 2560
Grouped Query Attention
20 : 4 GQA
Dynamic Router Softmax Distribution

Real-time gating weights calculated by LoRAMoERouter across registered specialized adapters:

Tech Expert LoRA (Computer Science & Architecture) 78.5%
Reasoning Expert LoRA (Logic, Math & Proofs) 18.2%
General Knowledge Base (Unadapted 2.0B Core) 3.3%
Catastrophic Forgetting Protection & Audit
Bit-Exact Invariant

Continual AI uses mathematical parameter isolation and anchor rehearsal gates. Base weights are 100% frozen during adaptation, guaranteeing zero degradation on prior tasks.

Domain 1 Anchor Drift (LoRA Bypassed)
0.0000 bits
Verified across 100 held-out FineWeb-Edu sequences
Domain 2 Specialization Gain
+0.0718 bits
Achieved with only 0.183% trainable parameters