AI Research.
Human Clarity.

A philosophical exploration of what intelligence truly is—across humans, animals, and machines—arguing that our failure to understand intelligence means we're building powerful AI systems without knowing what we're actually creating.

The fabric of the internet is shifting. In under three years, we may very well see PHD level silicon intelligence in many domains. LLMs are rapidly proving capable of playing a human-like role in combining memory, reasoning, and tool utilization to accomplish higher-order tasks.

As software creation moves from talented developers to mountains of GPUs trained on their prior output, we are seeing competing visions for how the tech stack of intelligence will evolve. I

The inputs which underpin economic activity are shifting. The networks of capital and labor which drove the 20th century are rapidly giving way to those of the 21st: networks of data and compute. Data is the raw material. And compute is increasingly the means by which it is converted into a “finished product”. In services-driven economies, intelligence is the product.

This report explores the evolution and competitive landscape of AI agent frameworks, which serve as the “bodies” enabling AI models to interact with the real world. It analyzes both Web2 and Web3 agent frameworks, their strengths, weaknesses, and future implications for enterprise automation, decentralized AI (DeAI), and the broader economy.

The Year Ahead for Crypto 2025 – Full Series: AI+DePIN DeFi Gaming Infrastructure Markets The Year Ahead...@RaminNasibov If 2023 was the year AI broke the Internet, then 2024 was the year AI broke financial markets...

The following report is a layman’s exploration into the AI value-chain: a peek into the awesome resources being deployed by the hyperscalers and the emergent decentralized AI ecosystem, assisted by cryptography & distributed incentives, aiming to present a viable alternative.