Definition
AI Winter
Period of reduced funding and interest in artificial intelligence.
From the episode “AI Is Quietly Stealing Your Life's Work”Hear it on the podcast1 episode
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Related terms in AI Fundamentals
AI nativeAn organization designed around AI agents from the start, rather than adding AI to existing processes.AI safetyThe field focused on keeping AI systems reliable and preventing them from causing harm, especially as they get more powerful and widely used.AI slopLow-effort, mass-produced AI content with little story or craft.AI tech stackThe combined software, hardware, and compute that supports an AI product end to end, from data and training to deployment and monitoring.AI wrapperA thin product that is mostly a call to a model like ChatGPT, with little defensible logic of its own. Competitors can replicate it within a month because there is nothing beneath the API call.AlgorithmA set of step-by-step instructions for solving a problem or completing a task, a bit like a recipe.Algorithmic monocultureWhen many organizations rely on the same or very similar models, algorithms, or training data, so they all share the same blind spots and failures.Ambient AIAI that operates continuously in the background of an environment or workflow, providing value without requiring explicit user initiation or interaction. Ambient AI monitors, processes, and acts on data streams without being summoned - generating outputs that appear in the user's environment as relevant context, completed tasks, or proactive recommendations. Examples include AI that sweeps news feeds to surface relevant competitive intelligence in a marketing dashboard, systems that pre-populate spreadsheets from incoming emails, and tools like Aryn that process documents and deliver structured outputs to downstream systems without the user ever opening an AI interface. The contrast is with reactive AI (chatbots, on-demand tools) that require the user to initiate each interaction.