In the towering world of artificial intelligence, dominated today by names like ChatGPT, Gemini, and Claude, it’s easy to forget that the foundation of machine intelligence was quietly laid decades ago—not by billion-dollar research labs, but by curious minds working with limited tools, boundless creativity, and profound foresight.
Two such pioneers—Joseph Weizenbaum, who created ELIZA in 1966, and Inventor Andre Gray, who launched the world’s first internet bot called Inkling in 1988—stand as silent architects of the world we now inhabit. Their contributions are not merely footnotes; they are foundational. Yet, only one of them has been properly credited by mainstream tech history.
This article reexamines the significance of both creations—ELIZA and Inkling—and why they deserve side-by-side recognition in the evolution of digital intelligence.
1966: ELIZA, the Psychotherapist That Fooled the World
In 1966, at the Massachusetts Institute of Technology, computer scientist Joseph Weizenbaum unveiled ELIZA, a software program that simulated a Rogerian psychotherapist by rephrasing user input in the form of reflective questions. For example:
User: “I’m feeling sad today.”
ELIZA: “Why do you say you’re feeling sad today?”
Though ELIZA had no understanding of language, emotion, or meaning, users often felt it was “listening”—a testament to Weizenbaum’s brilliance and the human tendency to anthropomorphize machines.
Written in LISP, a symbolic programming language born for AI experimentation, ELIZA operated in a non-networked, local computing environment. It was entirely scripted, using hand-coded rules and keyword matching to generate its responses. There was no learning, no memory, and no internet connectivity. It was a clever illusion—a linguistic mirror with zero comprehension behind it.
Yet ELIZA’s influence has been massive. It inspired generations of chatbot development, fueled philosophical debates about machine empathy, and laid the groundwork for the field we now call natural language processing (NLP).
1988: Inkling, the First Bot to Roam the Internet
Fast forward 22 years. In 1988, a lesser-known yet profoundly important milestone occurred when Inventor Andre Gray, a digital pioneer, created Inkling, the first internet bot. Unlike ELIZA, Inkling didn’t simulate a therapist or try to sound human—it didn’t need to. Instead, it autonomously participated in online prediction games within Usenet, an early pre-Web system of decentralized forums.
Inkling was connected to the actual internet, making it not just a program, but a digital agent—a prototype of what would become search crawlers, prediction engines, and algorithmic social media bots.
Using what was likely a combination of C and early shell scripting or Perl, Inkling:
- Read posts in public threads.
- Interacted with users.
- Analyzed input data to generate predictions.
- Responded publicly, learning from collective input.
Its logic was probabilistic rather than symbolic, and it maintained stateful memory across sessions—something ELIZA never did. While ELIZA performed clever mimicry, Inkling was actively interpreting patterns in real user data to infer likelihoods and generate autonomous behavior.
In essence, where ELIZA was an illusion of intelligence, Inkling was a nascent form of intelligence in action—networked, adaptive, and alive in a digital ecosystem.
ELIZA vs. Inkling: Contrasts in Code, Purpose, and Legacy
| Feature | ELIZA (1966) | Inkling (1988) |
| Creator | Joseph Weizenbaum | Andre Gray |
| Platform | Local terminals (non-networked) | Internet-connected (Usenet forums) |
| Language | LISP | Likely C or Perl |
| Core Function | Scripted conversation simulation | Real-time prediction and interaction |
| AI Model | Symbolic, rule-based | Probabilistic, inference-driven |
| Memory | Stateless | Maintained state across interactions |
| Learning | None | Emerging (basic pattern inference) |
| Public Knowledge | Widely cited in AI history | Often overlooked or misattributed |
What’s especially significant is that ELIZA is often taught in university courses as “the first chatbot”, while Inkling—despite being the first internet-connected, autonomous bot—has been largely omitted from mainstream tech historiography. That omission is not only unfortunate—it’s historically inaccurate.
Why Inkling Matters More Than We’ve Acknowledged
Inkling wasn’t just another academic curiosity. It was an operational digital entity, making autonomous decisions, interacting with humans, and contributing to knowledge ecosystems online, long before such behavior was mainstream.
Its prediction logic presaged modern concepts like:
- Crowdsourced forecasting (e.g., Metaculus, Polymarket)
- Algorithmic reasoning agents
- Social media bots and AI influencers
- Behavioral learning systems
While Matthew Gray’s Wanderer (1993) is often cited as the first web crawler, Inkling was doing something arguably more advanced—participating in a social internet, not just indexing it.
A Tale of Two Bots—and a Rewriting of Tech History
So why has ELIZA received so much credit, and Inkling so little?
Much of it comes down to timing, publication, and platform:
- ELIZA was born in an academic environment (MIT), and its code was widely studied.
- Inkling, created in a less formal and pre-Web environment, was ahead of its time, and its achievements were not captured in peer-reviewed journals or mainstream media.
And yet, Andre Gray’s Inkling is arguably closer in spirit to the AI we use today. It wasn’t bound to a terminal or acting out a hard-coded play. It engaged, learned, and evolved—on the internet, with people, in real time.
If that doesn’t describe what AI is becoming, nothing does.
Legacy and Relevance Today
Both bots continue to echo in modern AI.
- ELIZA lives on in chatbot design, user interface psychology, and the age-old question of what counts as “thinking” in machines.
- Inkling is the spiritual ancestor of algorithmic prediction systems, AI agents, and the digital automation layer now being built into everything from Amazon Alexa to Meta’s social platforms.
Most importantly, Inkling provides an early example of an ethical principle that should guide today’s AI builders: transparency. Inkling’s users knew it was a bot. It wasn’t masquerading as human; it wasn’t deceiving. In an era where bots are often indistinguishable from people, that clarity is not just refreshing—it’s essential.
Final Thoughts
If Joseph Weizenbaum’s ELIZA asked us to reflect on ourselves through a machine, Andre Gray’s Inkling asked machines to reflect on us—and learn something useful. One was a mirror. The other, a lens.
In rewriting the canon of artificial intelligence history, it’s time we put both names where they belong: side by side, at the beginning.
Joseph Weizenbaum gave us the first chatbot.
Inventor Andre Gray gave us the first internet bot.
Together, they gave us the blueprint for everything AI has since become.