Ai

An educational guide explaining the concept of an agent harness – the software layer that surrounds a large language model to manage tools, memory, orchestration, and context for real‑world AI agents.

Model governance is the end-to-end process by which organizations establish, implement and maintain controls around the use of models, covering documentation, version control, back‑testing, monitoring, and observability for both traditional financial and AI/ML models.

An interactive explorer that models how different levels of AI capability and adoption could affect US GDP, growth, unemployment, and wages by 2030, based on the paper *Economic Scenarios for Transformative AI* (Korinek et al., 2026).

An overview of OpenAI's speculated GPT-6 Astra model, focusing on its anticipated capabilities in reasoning, multimodal understanding, and enterprise integration, and how it could shape future work and AI adoption trends.

McKinsey QuantumBlack insights article that surveys the current landscape of artificial intelligence adoption, impact, and trends across industries, highlighting maturity levels, use‑case ROI, talent gaps, and emerging risks.