Verace V1
A next generation AI architecture, open source
Verace V1 launched on August 4, 2026 with 4 votes, #2,153 of 23,274 launches that month and more than 75% of that year's launches.
What it does
Verace V1 replaces four standard transformer subsystems (attention, KV cache, mixture-of-experts, fixed-depth compute) with continuous, manifold-constrained alternatives: linear-cost attention via an orthogonal state update, O(1) memory with no KV cache, no cross-device expert dispatch, and real per-token adaptive depth. Every manifold and conservation claim is backed by an executable test, not just derived on paper. Reference implementation only, no pretrained weights yet.
Verace is a frontier AI lab based in India, researching and developing next-generation foundation models.
We research and develop new kinds of Foundation models, pushing past the limits of today's Large Language Models. A next generation AI architecture, open source. Four standard transformer subsystems replaced with continuous, manifold constrained alternatives. We present a 5-dimensional geometric model governing the large scale structure, topology, and evolution of the multiverse, extending the 13-axiom White Hole cyclic cosmology framework of Choudhary. The global 5D manifold M 5 \mathcal{M}^5 M 5 is parameterized by four spacetime coordinates ( x , y , z , t ) (x, y, z, t) ( x , y , z , t ) and an independent 5th canonical quantum-phase coordinate Φ ∈ [ 0 , 2 π ) \Phi \in [0, 2\pi) Φ ∈…from verace.in
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