A critique of Andrej Karpathy's AGI timeline, arguing that AI systems, not just LLMs, will replace knowledge workers sooner than his definition suggests.
A guide to building a Model Context Protocol (MCP) server that connects to the Marvel API, demonstrating how to integrate external APIs with AI systems.
Distinguishes between Functional AGI (replacing knowledge workers) and Technical AGI (true generalization), arguing Functional AGI's societal impact matters most.
Explores practical aspects of building trust in AI systems, focusing on trust in the development process, results, and the company itself.
Explores the 3D framework (Decomposition, Data, Deployment) for designing and deploying effective machine learning systems in business contexts.
