GONO adapts Adam's momentum using measured gradient directional consistency to better navigate plateaus and oscillations while matching Adam's convergence rate.
Advances in Neural Information Processing Systems , volume=
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Agentic AI systems with DAG topologies are claimed to deliver exponentially superior generalization and sample efficiency compared to monolithic scaling for achieving AGI.
citing papers explorer
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Directional Consistency as a Complementary Optimization Signal: The GONO Framework
GONO adapts Adam's momentum using measured gradient directional consistency to better navigate plateaus and oscillations while matching Adam's convergence rate.
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Position: Agentic AI System Is a Foreseeable Pathway to AGI
Agentic AI systems with DAG topologies are claimed to deliver exponentially superior generalization and sample efficiency compared to monolithic scaling for achieving AGI.