Novel Content Generators
If you’ve used LLMs (Large Language Models) like ChatGPT, Gemini or Claude, you’ve already engaged with Generative AI! That’s right — Generative AI is a form of artificial intelligence that creates new content or outputs based on data input.
Then … Now
The precursors to Generative AI were Predictive AI (think image recognition or spam filters) and human-devised rule-based AI (like early spellcheckers or traditional bank fraud detection systems).
While earlier systems either followed explicit rules or learned patterns to make predictions, Generative AI takes things further — it learns from vast datasets (via machine learning) to generate entirely new and original outputs. Predictive and rule-based systems were limited: the former forecasted outcomes based on known patterns, while the latter required manual updates whenever a rule changed.
In contrast, Generative AI is flexible, adaptive, and creative. It responds to diverse prompts and produces outputs ranging from text and code to music and images. Earlier systems operated strictly within predefined boundaries, making them effective for narrow, structured tasks, but not capable of creativity or generalization.
Real World Examples
Have a look at these real world examples using Generative AI in the form of ChatGPT & Napkin AI:
New Frontiers
And here’s a CHATGPT generated infographic showing possible future Generative AI possibilities versus what’s available today:
Generative AI is redefining human-technology interaction, setting a new standard for how we engage with machines in daily life. From personalized learning experiences that adapt to your progress, to AI on your phone that speaks foreign languages in your own voice and tone, the possibilities are boundless, and the perceived convenience and improvement to daily life, immense, and as yet, uncharted.
