Paradigm
A standard way of doing things or a model that shapes how something is done, especially in science or technology.
A paradigm is like a standard way of doing things or a widely accepted model. Think of it as the common approach or framework that guides how people think about and solve problems in a particular field.
For example, before smartphones, the paradigm for mobile phones was primarily making calls and sending texts. Smartphones introduced a new paradigm by adding internet browsing, apps, and touchscreens, fundamentally changing how we use mobile devices.
A paradigm refers to a fundamental model or pattern that shapes understanding and practice within a discipline. In AI, this can manifest as dominant architectural choices (e.g., transformers), prevailing training methodologies, or established benchmarks for evaluation.
Shifts in paradigms often occur when new approaches demonstrate significantly superior performance or enable entirely new capabilities, leading to a reorientation of research and development efforts.
The concept of a paradigm is relevant as frontier AI labs are rapidly evolving core technologies. Google's search redesign suggests a potential paradigm shift in how users interact with information, moving beyond simple queries to conversational AI.
- Google just redesigned the search box for the first time in 25 years — here’s why it matters more than you think.Google · VentureBeat AI ·
- Ep 86: Yann LeCun on Leaving Meta, Breaking The LLM Paradigm, & Why Hinton is WrongMeta · Unsupervised Learning ·
- Google Gemini
- Google's search redesign indicates a shift in the paradigm of information access, integrating AI conversation into the search box.
The term 'paradigm' was popularized by philosopher of science Thomas Kuhn in his 1962 book 'The Structure of Scientific Revolutions'. He used it to describe a distinct set of concepts or thought patterns, including theories, research methods, postulates, and standards for what constitutes legitimate contributions to a field. Source ↗
Ask your preferred AI assistant to explain a complex topic, like quantum computing, in simple terms. Then, ask it to explain the same topic using an analogy. This demonstrates how AI can adapt its output based on different explanatory paradigms. Observe how the AI structures its answers, the vocabulary it uses, and the overall approach to conveying information. This showcases the flexibility of AI models in adopting different communication styles.
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Questions people ask
- What is a paradigm shift?
- A paradigm shift is a fundamental change in the basic concepts and experimental practices of a scientific discipline. It's a major change in how people think about something.
- How do paradigms apply to AI?
- In AI, paradigms can refer to dominant approaches like deep learning, specific model architectures like transformers, or new ways of interacting with AI, such as conversational search.
First seen on Subvolts May 19, 2026. Updated Sep 15, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.