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UNIFIED MASTER TELEMETRY GLOSSARY & METRIC SPECIFICATION MyceliaLM Cognitive Architecture & MASSIF Latent Trajectory Framework Continuous SDE Kinematics, Closed-Loop Governors, Pressure Tensor Diagnostics, and Live Dashboard Telemetry Daniel Solis -- Principal Investigator, Dubito Inc. / Ergo Sum AGI Safety Systems Oct...
Abstract of Cache-Fused Kinematic Rails: Ex-Ante Silicon Alignment via In-Vivo KV-Cache Metric Grafting Current Large Language Model (LLM) alignment relies primarily on post-hoc, output-level correction mechanisms such as external API meta-governors, Reinforcement Learning from Human Feedback (RLHF), or post-generation...
This is an updated version. The changelog is at the end. Abstract of Beyond Scalar Loss: An Empirical Observatory for Persistent Ballistic Flow and Hidden Descent in Transformers Scalar training loss provides a necessary but incomplete description of neural optimization. It records task error but does not directly reve...
Updated version. Fore details see changelog infra. Abstract of Beyond Loss Convergence: The Geometric Convergence Index and the Crystallization Horizon of Transformer Manifolds Determining when Large Language Model (LLM) pre-training is structurally complete remains one of the most critical open challenges in artificia...
Abstract of Cache-Fused Kinematic Rails: Ex-Ante Silicon Alignment via In-Vivo KV-Cache Metric Grafting Current Large Language Model (LLM) alignment relies primarily on post-hoc, output-level correction mechanisms such as external API meta-governors, Reinforcement Learning from Human Feedback (RLHF), or post-generation...
Abstract of Beyond Loss Convergence: The Geometric Convergence Index and the Crystallization Horizon of Transformer Manifolds Determining when Large Language Model (LLM) pre-training is structurally complete remains one of the most critical open challenges in artificial intelligence. Contemporary foundation model pipel...
Abstract of Beyond Loss Convergence: The Geometric Convergence Index and the Crystallization Horizon of Transformer Manifolds Determining when Large Language Model (LLM) pre-training is structurally complete remains one of the most critical open challenges in artificial intelligence. Contemporary foundation model pipel...
Abstract of Cache-Fused Kinematic Rails: Ex-Ante Silicon Alignment via In-Vivo KV-Cache Metric Grafting Current Large Language Model (LLM) alignment relies primarily on post-hoc, output-level correction mechanisms such as external API meta-governors, Reinforcement Learning from Human Feedback (RLHF), or post-generation...
The Thermodynamics of Neural Optimization: Critical Surfing, Persistent Individual Ballistic Flow, and the Kinematic Rail Cognitive Operating System Author: Daniel SolisAffiliation: Founder & Lead Researcher, Dubito Inc. / Cognitive Constitution ProjectContact: solis@dubito-ergo.comCredentials: NVIDIA Inception Program...
ABSTRACT The ILIAD research programme poses a central question: do ReLU networks possess an intrinsic simplicity bias analogous to Solomonoff induction, and can this bias be characterized through the geometry of the fiber? We argue that this question admits a complementary formulation in the language of continuous-time...
ABSTRACT The ILIAD research programme poses a central question: do ReLU networks possess an intrinsic simplicity bias analogous to Solomonoff induction, and can this bias be characterized through the geometry of the fiber? We argue that this question admits a complementary formulation in the language of continuous-time...
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