AI to Super Intelligence: What the Rename Actually Changed
The US renamed AI to Super Intelligence in Sept 2026. A six-layer breakdown of what changed - and what didn't - in definitions, standards, adoption, and search.
Exploring how AI reshapes the way humans think, learn, and create.
Exploring how AI reshapes human intelligence, thinking, and learning — and what it means to become more capable in the age of AI.
The US renamed AI to Super Intelligence in Sept 2026. A six-layer breakdown of what changed - and what didn't - in definitions, standards, adoption, and search.
How AI is used in quantitative trading today — LLM factor generation, portfolio optimization, execution — and where the evidence still falls short.
Two radiologists use the same AI. One learns from her mistakes; the other never hears about them. Why judgment diverges even when the tool doesn't.
High-quality AI output depends less on prompt templates and more on domain expertise, structured thinking, and the ability to guide AI through complex workflows.
AI slows down because of memory bandwidth, KV cache growth, and power limits—not just compute. Understand the physics behind cloud and local AI lag.
Why is ChatGPT slow, expensive, and confidently wrong? Four flaws baked into the Transformer's DNA — and the challengers (Mamba, diffusion LLMs) at the gate.
Current AI interaction models assume synchronous presence. This breaks when agent tasks take minutes, not milliseconds. A five-dimension framework for batch processing, async delegation, and trust-calibrated notifications.
Generative AI in security operations: what agentic triage really fixes, where context sets the ceiling, and how analysts build judgment without repetition.
AI is absorbing standardized work in IT operations and predictive maintenance. See what it can't replace, plus a three-question test for your own tasks.
What generative AI really changes for freight planners and rate analysts: decision rights, exceptions, unit economics, and a practical upskilling path.
AI is hollowing out standardized education work. Discover how educators can reposition their careers, use AI workflows, and move toward higher-value learning design in the post-Chegg era.
An 18-month discovery cycle, a Nobel lab's open-source antibody, an FDA clinical hold. We examine the evidence on AI drug development—and who keeps their job.