Investing in Intelligence:
Human and Artificial
From a fascination with how great investors think to a drive to engineer that mindset into technology.
Marcos Florencio
Software EngineerInvesting in Intelligence:
Latest Writings
Thoughts on investing, technology, and anything in between.
October 27, 2025
Designing self-improving agents
High-level analysis of Darwin-Gödel Machines as a technique to design self-improving agents.
Read More →October 21, 2025
Adding Ephemeral Tools to MCP
How ephemeral tools represent a meaningful step toward making MCP more adaptive, efficient, and user-centric.
Read More →Scientific Writings
Academic papers and research in computer science.
Mechanistic Interpretability in the Presence of Architectural Obfuscation
ArXiv preprint ArXiv 2506.18053, 2025
Architectural obfuscation - e.g., permuting hidden-state tensors, linearly transforming embedding tables, or remapping tokens - has recently gained traction as a lightweight substitute for heavyweight cryptography in privacy-preserving large-language-model (LLM) inference.
View Publication →An End-to-End Homomorphically Encrypted Neural Network
ArXiv preprint 2502.16176, 2025
Every commercially available, state-of-the-art neural network consume plain input data, which is a well-known privacy concern. We propose a new architecture based on homomorphic encryption which allows the neural network to operate on encrypted data.
View Publication →Open-Source Projects
Contributions to the open-source community.
P2P AI Hedge Fund
A peer-to-peer AI hedge fund platform enabling collaborative investment strategies through decentralized technologies.
Rust
shell
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Research
Reference codebase for several AI functionalities - fine-tuning, embedding, neural nets, among others
Python
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