🪴 Satwik Panigrahi
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Applying memory as reasoning to economic world models
articles
3Jane Protocol — Revolutionizing DeFi Lending
Abstract plans reduce search complexity by pruning irrelevant action sequences
Agent trajectories through organizational state space encode implicit ontology
Bootstrap your own latent: A new approach to self-supervised Learning
Context graphs capture decision traces, not just current state
Context graphs function as organizational world models that enable simulation
Contrastive learning prevents model collapse by pushing apart positive and negative examples
Decision traces enable agents to reason from organizational precedent
Energy-based models assign compatibility scores rather than computing probabilities
Enterprise context requires resolving entities across disparate systems
Every new AI capability jump enables new product categories to come into mainstream
Exponential Moving Average creates stable learning targets in self-supervised systems
Facts with temporal validity windows enable queryable event histories
Hierarchical abstraction enables predictions across different temporal scales
JEPA — Joint Embedding Predictive Architectures
JEPA separates world understanding into three specialized components: context encoder, target encoder, and predictor
JEPA training requires balancing four objectives to prevent trivial solutions
Latent variables in JEPA enable single models to represent multiple plausible futures
Linear probing tests whether learned representations are linearly separable
Masked prediction tasks force models to learn semantic relationships between image regions
Orchestration and context layers must remain tightly coupled for agent effectiveness
Satwik's Values and Code
Self-supervised learning generates training signals from data structure itself
Synthesis from multiple observations creates higher-order facts
Systems of record capture what but not why decisions were made
The things I have built
Vision Transformers process images by treating patches as sequential tokens
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Feb 11, 2026
Applying memory as reasoning to economic world models