The Evolution of Chatbots: From ELIZA to GIconvo

1966 — ELIZA: The Birth of Chatbots

The story begins with ELIZA, created by Joseph Weizenbaum at MIT. ELIZA mimicked a psychotherapist, responding to users’ statements with simple pattern-matching rules. While limited, it was the first program to make people feel like they were “talking” to a computer.

1990s — The Rise of Rule-Based Chatbots

Decades later, chatbots like ALICE (Artificial Linguistic Internet Computer Entity) emerged. Built with AIML (Artificial Intelligence Markup Language), ALICE used pre-set rules to respond to human inputs. It could answer questions — but only those it was programmed for.

2000s — Smarter Assistants Appear

With the boom of the internet, customer support bots started appearing on websites. They could handle basic FAQs but still couldn’t truly “understand” language. Then came early voice assistants like Siri and Cortana, introducing the world to spoken AI.

2010s — The Era of Machine Learning

This decade changed everything. Chatbots began using machine learning and natural language processing (NLP). Instead of being programmed with fixed rules, they learned from data — improving with every interaction. Chatbots like Replika and Google Assistant blurred the line between human and machine conversation.

2020s — Generative AI and Conversational Intelligence

Now, we live in the era of Generative AI. Tools like ChatGPT and GIconvo use massive neural networks that can reason, summarize, and create. They don’t just repeat — they think, understand, and respond like humans.

2025 — GIconvo: The Next Step in Open AI Conversations

Enter GIconvo — built to make AI truly free and accessible to everyone. Unlike most platforms, GIconvo lets people chat, learn, and create without restrictions. Whether you’re a student, developer, or creator, GIconvo is your intelligent companion that adapts to your needs.