Ternary Gradient Accumulation for Training
The AI remembers itself across restarts — state continuity with provable identity.
Explore the Vision
Discover this technology through five complementary perspectives — from technical architecture to partnership outcomes. Each layer reveals a different aspect of how this innovation creates value.
The AI remembers itself across restarts — state continuity with provable identity.
What It IS
Technical VisionThe architectural essence — what makes this technology work
An AI agent powering down, its complete state crystallised into a ternary snapshot — every weight, every activation, every context token preserved. Upon restart, the crystal reconstitutes perfectly. The same mind resumes, provably identical. Continuity of digital self.
Abstract
Methods for ternary gradient accumulation during model training, enabling efficient distributed training with reduced communication overhead.
Visual Essence
An AI agent powering down, its complete state crystallised into a ternary snapshot — every weight, every activation, every context token preserved. Upon restart, the crystal reconstitutes perfectly. The same mind resumes, provably identical. Continuity of digital self.
Technology Domains
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