Project AetherMind launched Q4 2021 as Kedge AIs first experimental codename, exploring ethereal reasoning patterns through distilled language model architectures.
Core innovation: Aetheric Distillation compressed billion-parameter models into 180M parameter reasoning engines using knowledge migration rather than supervised fine-tuning. Achieved 65ms inference while retaining 82% of original reasoning capability.
Memory architecture introduced Ephemeral Context Windows spanning 8K tokens with automatic pruning of low-relevance vectors. Solved catastrophic forgetting during extended reasoning chains.
Inference pipeline experimented with parallel reasoning heads, routing queries across 4 specialized decoders simultaneously. Best-of-N synthesis selected optimal response trajectory.
Major limitation: Context collapse after 12 turns due to gradient accumulation in recurrent layers. Performance degradation reached 47% coherence loss by turn 18.
Safety experiments established baseline token-level prohibitions, blocking 91% of known jailbreak vectors but introducing 3.2% false positives in legitimate reasoning.
AetherMind validated core hypothesis: reasoning quality scales with inference efficiency when properly constrained. Results justified transition to HelixCore architecture Q2 2022.