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A benchmark comparing frontier models with a proprietary investment model points to a larger shift: durable AI advantage in asset management will come less from renting the newest model and more from compounding institutional judgment into structured, trainable knowledge.

A customer-facing introduction to the new Prediction Market mode inside the Someo Park AI investing frontend.

— An Intelligent Signal, Portfolio Monitoring, and AI Research Platform for Retail Investors by Someo Park Investment Management

Abstract Cross-era comparison of NBA players’ historical standing has long relied on media narratives and subjective consensus, lacking a unified, falsifiable quantitative framework. Drawing on financial asset-pricing theory, this paper constructs a five-module evaluation system: (1) an **era inflation index** built from league offensive rating and pace, converting nominal output into real output anchored to the 1995-96 season; (2) a **structural era adjustment** layered on t

Where AI Meets Offline-Social-Networking: A Revolution in "Connection as an Asset" Introduction: Finding the North Star of "Value Connection" in a Desert of Information In an era of hyper-digitalization, we face a paradoxical reality: while we possess thousands of digital "friends," we often experience profound alienation in physical gatherings. At high-end summits, industry forums, or elite parties, people still fall back on inefficient social patterns—blindly swapping busin

— A Deep Dive into the AI-Powered Political & Economic Value Alignment Platform by Someo Park Investment Management Introduction: Every Dollar is a Vote, Every Stance is Power In the third decade of the 21st century, we are witnessing the dawn of the "Conscious Consumption" era. Every transaction, every click, and every investment decision serves as a vote for the world you wish to inhabit. However, the reality remains opaque: fragmented data, algorithmic echo chambers, and c

1. Introduction: The Foundational Status and Evolutionary Challenges of Feature Engineering In the theoretical framework and practical application of machine learning, model performance is not empty talk but is deeply rooted in the quality and representation of input data. Features are the inputs to machine learning algorithms. They constitute the cornerstone for models to perceive and understand complex real-world phenomena and are the starting point for all subsequent learn

Abstract The private credit market is plagued by inherent structural frictions, including severe illiquidity, opaque valuations, high...

Reference List Stanford Online. (2025, Apr 29). Stanford CS25: V5 | Large Language Model Reasoning, Denny Zhou of Google DeepMind ...

In the grand confluence of the digital economy and decentralized technology, we are witnessing a profound paradigm revolution. The core...