Eliza chatbot

Author: p | 2025-04-23

From early age chatbot ELIZA to modern-day chatbot ChatGPT, we’re going to represent you throughout the entire history of chatbots. 1. ELIZA. ELIZA was created by

GitHub - ShashankaShekharSharma/ELIZA-Python-Chatbot: ELIZA Chatbot

In 1964, an MIT computer scientist by the name of Joseph Weizenbaum developed one of the world‘s first chatbots. He named it Eliza, after the Eliza Doolittle character from George Bernard Shaw‘s play Pygmalion, who learned to speak with an upper-class accent. Eliza was a simple program by today‘s standards, but a revolutionary proof of concept. Using basic pattern matching techniques, it could engage in seemingly intelligent dialog with a human user, playing the role of a Rogerian psychotherapist. Many of the users who interacted with Eliza came away feeling that the software truly understood them and empathized with their problems, despite "her" often nonsensical or generic responses.This phenomenon came to be known as the "Eliza effect"—the tendency for humans to anthropomorphize technology and read more into a computer‘s apparent "intelligence" than is really there under the surface. Eliza was in many ways an elaborate illusion, a clever matching of user input to pre-written scripts to mimic the appearance of understanding. But the fact that it was so effective at this illusion revealed something profound about human psychology and our often irrational relationship with machines.Fast forward over half a century later, and the ideas pioneered by Weizenbaum and Eliza are more relevant than ever. We are living in the age of the chatbot, with AI-powered conversational agents like Siri, Alexa, and ChatGPT becoming household names. The global chatbot market is projected to reach $5.8 billion by 2028, according to Emergen Research. Platforms like Google‘s DialogFlow make it easier than ever for businesses and developers to build their own chatbots and virtual agents.How Eliza WorkedWhile today‘s chatbot platforms are far more sophisticated than Eliza, they share the same fundamental DNA. At their core, they rely on similar techniques of natural language processing (NLP), pattern matching, and templated responses to engage in lifelike dialog.So how did Eliza actually work under the hood? The system operated on a few core principles:User input was scanned for keywords and phrase structures that might indicate a certain topic, question type, or emotional state. Eliza had a dictionary of dozens of words like "mother", "father", "hate", "depressed", etc. that it treated as significant.If a relevant pattern was found, Eliza would retrieve a matching transformation rule specifying how to permute the user‘s input and fill in the blanks of a canned response template. The rules were ranked, so the most specific matches were preferred.The transformed response would be output back to the user, typically turning their statement into a question, or offering a generic empathetic reflection or encouragement to elaborate. If no specific patterns matched, Eliza would rely on a collection of universal default responses that could apply to anything, such as "Please go on", "Tell me more

36nw/Eliza-Chatbot: Eliza chatbot w/ GUI in Python

Over up to 29% of US call center positions in the coming years. At the same time, the technology will also create many new roles at the intersection of AI, design, and business strategy.Major tech companies like Google, Amazon, and Meta are heavily investing in conversational AI as a key interface and platform of the future. Through a combination of in-house development, startup acquisition, and ecosystem building, they aim to make their virtual agents and development tools essential infrastructure for every organization. Independent players like Ada, Drift, and Intercom are also innovating to bring chatbots to the masses.The Ghost in the MachineAs we reflect on the trajectory from Eliza to the present, what deeper insights can we glean? In many ways, the story of chatbots is the story of the Eliza effect writ large—the gradual shedding of the illusion that computers can meaningfully converse and understand as humans do. At first, we are beguiled by the clever mimicry and projection of intelligence. Like the Turing test of old, we are quick to anthropomorphize anything that can string words together in a somewhat sensible way. Some residue of that lives on in the way people name their Alexas and Siris and say "please" and "thank you" to them.But as the conversational interfaces grow more sophisticated and ubiquitous, the mask begins to slip. We have more interactions that break the spell, where the chatbot gets stuck in a loop, ignores context, or spits out incoherent nonsense. The more capable they become, the more glaring their remaining limitations appear.Gradually, we come to see that, no matter how impressively fluent, today‘s chatbots are still just glorified pattern matching machines, statistical guessers trained to optimize for the illusion of intelligence. Even GPT-3, for all its remarkable language modeling power, does not truly comprehend the world or have a stable sense of self that persists from one interaction to the next. Its responses are fundamentally a form of procedural generation, remixing and recombining its training data in new ways.But perhaps that is changing as well. As transformative as the jump from Eliza to today‘s chatbots has been, we may be on the cusp of something even more profound with the next generation of large language models and reinforcement learning systems. The question of machine sentience, once in the realm of science fiction, is now being seriously contemplated.In the long arc of conversational AI, Eliza was the first spark, the proof that within the rigid, unfeeling logic of code, something altogether more lifelike could emerge. In a time when computers were seen as cold number crunchers, Eliza hinted at the ghost in the machine, the deeper mysteries of language, intelligence and the human mind.Nearly 60 years later,

Eliza AI: A Pioneira dos Chatbots / Eliza AI: The Chatbot

Since she just made a new friend, which is Darwin, but she knows she can't go through life without talking to people. So the shaman decides to get Eliza back to the way she was. Before the shaman gets ready to get Eliza to able to talk to people again, Eliza tells him to give her a minute, and she walks up to Darwin in another mud pool. Eliza sadly tells Darwin that their time to talk to each other can't go on forever, and she needs to talk to her family, and they're going to be able to understand each other anymore. Darwin gets sad about it, but Eliza tells him there's nothing she can do about it. The shaman then asks Eliza if she's ready, and she walks up to him. The shaman then uses his scepter and casts another spell on Eliza and causes her to able to talk to people again. After the spell is cast on her, she falls into the mud pool that Darwin is in, and she could no longer understand him, much to her sadness.When Eliza and Darwin walk off, as Darwin speaks in chimp language at the shaman, he slips on the mud. Eliza quickly runs after him as he slides towards a cliff, but he falls over it and grabs onto a branch. Eliza tries to climb down to get Darwin to grab her. Darwin reaches and grabs Eliza's foot, but then the branch she was holding onto snaps, and they fall down the cliff, and Eliza then grabs onto another branch. Just as the branch was about to snap, the shaman reaches his scepter down and tells Eliza to grab on. Eliza then grabs onto the scepter and the shaman pulls them back up to safety. Eliza then thanks the shaman for rescuing them, and the shaman notices Eliza really likes Darwin, and Eliza tells him she really does.Eliza and Darwin then start to head back to the camp. Just as they were about to leave, the shaman suddenly remembers about something and tells them to wait. The shaman knows it's something he shouldn't be doing, but Eliza asks him what it is he shouldn't do. The shaman tells Eliza about another spell he heard about, which is not an easy one, but if she's willing to give it a try then he is. He tells Eliza she will be able to talk to both people and animals with this spell, but warns her if he gets it wrong, she might grow an extra head. So, Eliza decides to give it a try. So, the shaman takes out his scepter, waves it, and gives Eliza the "deluxe spell". After. From early age chatbot ELIZA to modern-day chatbot ChatGPT, we’re going to represent you throughout the entire history of chatbots. 1. ELIZA. ELIZA was created by What was the first chatbot? Eliza First Chatbot was launched in 2025 The first chatbot was ELIZA it was developed between 19 with the intention of a chatbot therapist at MIT by

GitHub - VXLX/eliza-chatbot: Just A simple Eliza chatbot in

About that", or "What does that suggest to you?"For example, consider the following sample dialog:User: I‘m feeling really depressed lately.Eliza: I‘m sorry to hear you are feeling depressed. Why do you think that is?User: Well, I recently lost my job and I‘m worried about providing for my family.Eliza: Losing a job is certainly a difficult experience. Tell me more about your concerns regarding your family.User: I‘m just stressed about paying the bills and making ends meet until I can find something else.Eliza: It sounds like this is putting a lot of pressure on you. Have you talked to your family about how you‘re feeling?The magic here is that while Eliza is merely shuffling around the user‘s own words and filling in the blanks of pre-written scripts, the overall effect is an uncanny impression of an attentive listener who is asking relevant follow-up questions. The responses feel personal and tailor-made, even though they are stitched together from generic components. The occasional non sequitur or odd remark only reinforces the sense that this is a real, spontaneous conversation with another thinking being.This is the essence of the Eliza effect—the human mind‘s powerful ability to project agency, intelligence, and understanding onto a system that is ultimately just cleverly reflecting our own thoughts back to us in disguise. We want to believe Eliza comprehends us, so our perceptions organize themselves to fit that narrative.Present and Future of ChatbotsAs impressive as it was for its time, the original Eliza had major limitations. Its conversational abilities were superficial and easily broken down with complex or unexpected input. It had no memory from one response to the next, so there was no sense of a coherent discussion progressing. And its knowledge was entirely procedural, based on the specific rules and templates that Weizenbaum hand-coded.Modern chatbot platforms aim to overcome these limitations and achieve more robust, flexible, and cognitively plausible conversational interaction. Advances in natural language processing and machine learning have driven a paradigm shift from brittle pattern matching to statistical models that can infer the latent intent behind a user‘s words, even if expressed in novel ways.Rather than trying to anticipate every possible user input from the top down, platforms like Google‘s Dialogflow use a bottom-up approach, ingesting large annotated datasets to train machine learning classifiers. With enough examples, the models learn to categorize messy, real-world natural language into standardized intents and extract relevant entities like dates, product names, and locations. This allows them to handle diverse phrasing, slang, and typos in a more flexible way.A key architectural feature of today‘s chatbots is the use of modular intent handlers and slot-filling to manage the flow of conversation. Rather than a single unstructured dialog, interactions are broken into

Eliza as a chatbot - YouTube

Discrete units, each focused on a particular goal, such as placing an order, checking a balance, or making a reservation. The chatbot keeps track of the intents that have been triggered and the relevant entities collected, and uses this to move the user through a series of steps or decision trees.Another major addition is integration with external knowledge sources and APIs to perform useful functions. Modern chatbots are not just language models, but orchestrators of services, able to tap into databases, pull live data, and take actions on the user‘s behalf. This is often accomplished through webhooks, which allow the conversational agent to hand off tasks to backend services and retrieve the results.For example, if a user tells a banking chatbot "Send $50 from my checking account to John Smith", the chatbot can parse this into a money transfer intent with entities for the dollar amount, source account, and recipient name. It can then interface with the bank‘s transaction API to validate the accounts, initiate the transfer, and confirm completion—all within the seamless context of the chat interface.Perhaps the biggest evolution from Eliza is the emphasis modern chatbots place on personalization and user-centric design. By connecting conversations to individual user profiles and tapping into interaction histories, chatbots can carry context across sessions, recall your preferences, and tailor their personality to your tastes. Over 70% of consumers now expect such personalized experiences when interacting with brands.Emotional intelligence and trust-building are also key focus areas. Researchers have found that users perceive chatbots as more intelligent and engaging when they display traits like empathy, humor, and proactive assistance. The most effective bots not only accomplish tasks efficiently, but forge an emotional connection in the process. Careful character and persona design is used to craft unique chatbot identities that put the user at ease.Looking to the near future, we can expect chatbots to become ever more ubiquitous and indispensable. Gartner predicts that by 2025, 80% of customer service interactions will be handled by AI. As natural language models grow in sophistication, we will see chatbots that can engage in increasingly open-ended, multi-turn dialog, and even act as virtual companions.At the bleeding edge are systems like GPT-3, a language model with 175 billion parameters developed by OpenAI. When given a prompt, it can generate long stretches of remarkably coherent and contextual text in almost any style. Developers are already using it to power chatbots with unprecedented fluency and range. But such powerful language models also raise ethical concerns around bias, misinformation, and the possibility of misuse.More pragmatically, the rise of chatbots is likely to entail significant economic disruption, potentially displacing millions of customer service jobs. A 2019 report from Forrester estimated that chatbots could take

36nw/Eliza-Chatbot: Eliza chatbot w/ GUI in Python - GitHub

A human man, right in front of Eliza, making her surprised.The man then cheers feeling very happy to be human again after being a warthog for a very long time. Eliza asked the man how he became a person, and he explains to her that she just broke a spell. He explains to Eliza that a very long time ago, he was a high shaman in the Sarimba tribe, and they were people who believed that animal and human spirits join together, and Eliza tells the shaman she also believes it. The shaman then tells Eliza that he couldn't stand animals, and he then angered the really high shaman after he ate his entire priced sheep. So, he then cast a spell on him, turning him into a warthog, but now thanks to Eliza, he is now a man again, as the spell could only be broken if a human really cared about him, but they figured, "Who would love a gross, disgusting, smelly animal?". Because Eliza broke the spell turning him back to normal, the shaman now gets to grant Eliza a wish. When Eliza sees the chimp again, she tries to talk to him, but the chimp hides again. Eliza then decides what to wish for, so she tells the shaman she wishes to talk to animals. So, the shaman takes out his scepter, and casts his spell on Eliza giving her the power to talk to animals. After Eliza receives the powers, she falls to the ground. The shaman then tells Eliza it's time for him to go and leaves.When Eliza wonders where the shaman suddenly went, she hears several voices coming from animals. Eliza then notices she understands the animals now. When Eliza calls out if anyone could understand her, she hears a voice say that there's a bug in her hair and asks if he can have it. Eliza looks up and sees the chimp in a tree on a branch. Eliza is amazed to hear that the chimp really said that, and the chimp is surprised to hear Eliza speaking chimp. The chimp is really happy to meet someone civilized to talk to, and Eliza is really happy to meet someone uncivilized to talk to. Eliza and the chimp then swing on vines together. Eliza then introduces herself to the chimp, and the chimp introduces himself to Eliza. However, his name is little hard to pronounce, so she decides to call him Darwin, naming him after her cousin, Lennie Darwin, who kind of looks like a monkey.Eliza and Darwin then return to her family's camp, and Eliza suggests that maybe he could stay with them. Darwin thought she'd never ask her, but he was

Eliza AI: A Pioneira dos Chatbots / Eliza AI: The Chatbot Pioneer

Tells her and Darwin to look in a single direction, and she pushes them off the branch with her wing, and then she asks them if they're starting to fester yet. Eliza though tells her they didn't mean to do that, and the vulture flies off telling Eliza to find a scavenger that cares. When Eliza starts to realize the animals aren't so friendly, a voice suddenly says to her, "Depends on who you talk to.". Eliza then suddenly sees n hartebeest walk up to her. The hartebeest then asks Eliza is she some kind of talking girl. Eliza tells him she is and she's an Eliza Thornberry and she asks the hartebeest if he happens to know what a road is. The hartebeest tells Eliza he does and "it's where those big lights just stare at you, and you don't move." Eliza then asks him if he could take her and Darwin there, and the hartebeest tells her he's free most of the day and tells her to hop on. Eliza and Darwin then get of the hartebeest's back it he gives them a ride. As the hartebeest carries Eliza and Darwin through the jungle, the hartebeest tells Eliza he knows what a road is but just doesn't know where it is. Eliza though believes she has a way to help them find their way.After asking some red birds for directions, they lead Eliza, Darwin and the hartebeest to the road. The birds then say goodbye to Eliza as they fly off and Eliza tells the birds to have a good time migrating. Eliza then sees the truck and she and Darwin get off the hartebeest's back and Eliza thanks him for giving them a ride. After Eliza says goodbye to the hartebeest and he walks off, Eliza and Darwin hurry to find the shaman. They arrive at a mud pool place and hear a burp. Eliza then finds the shaman in one of the mud pools eating a chicken leg and walks up to him. The shaman then sees Eliza saying, "Well look who it is," causing Eliza to notice he could understand her, and she asks him why did he disappear. The shaman explains to her that he just came back to his old tribal hot springs. Eliza tells the shaman that she can't talk to people anymore and she needs to talk to her family. The shaman explains to Eliza he could make her talk to animals or people, but not both, since he's never done anything that hard, so Eliza had to make a decision as the shaman asks her, "Now who do you want to talk to, people or animals?". Eliza finds it unfair. From early age chatbot ELIZA to modern-day chatbot ChatGPT, we’re going to represent you throughout the entire history of chatbots. 1. ELIZA. ELIZA was created by What was the first chatbot? Eliza First Chatbot was launched in 2025 The first chatbot was ELIZA it was developed between 19 with the intention of a chatbot therapist at MIT by

History of chatbots – From Eliza to AI chatbots

Into a response from the chatbot. The first program he designed with this chatbot was called DOCTOR, designed to imitate a Rogerian psychotherapist by either responding generically or rephrasing user input in the form of a question:Human: Well, my boyfriend made me come here.ELIZA: Your boyfriend made you come here?Human: He says I'm depressed much of the time.ELIZA: I am sorry to hear you are depressed.Human: It's true. I'm unhappy.ELIZA: Do you think coming here will help you not to be unhappy? As Weizelbaum explained in his 1976 work, Computer Power and Human Reason, he was “startled to see how quickly and very deeply people conversing with DOCTOR became emotionally involved with the computer and how unequivocally they anthropomorphized it.” He noted that even his secretary, who watched him work on the program for months and obviously knew its simple methodology, asked him to leave the room for privacy when she began conversing with it.1 This phenomenon has come to be known as The ELIZA Effect (link resides outside ibm.com). Strong AI: Systems possessing consciousness Another proposed definition sets a higher bar for AGI: an AI system possessing consciousness. As articulated by Searles, “according to strong AI, the computer is not merely a tool in the study of the mind; rather, the appropriately programmed computer really is a mind.”2Searles authored a prominent philosophical refutation of the Turing Test’s ability to prove strong AI in 1980. He describes an English speaker with absolutely no understanding of Chinese, locked in a room full of books of Chinese symbols and instructions (in English) for manipulating the symbols. He argues that the English speaker could fool someone in a different room into thinking he can speak Chinese by simply following the instructions to manipulate numbers and symbols, despite not understanding the other person’s messages nor even his own replies.3The decades of debate around the Chinese Room Argument, summarized in this Stanford Encyclopedia of Philosophy article (link resides outside IBM.com), demonstrate the lack of scientific consensus on a definition of “understanding” and whether a computer program can possess it. This disagreement, along with the possibility that consciousness might not even be a requirement for human-like performance, makes Strong AI alone an impractical framework for defining AGI. Analogies to the human brain An intuitive approach to AGI, which aims to replicate the kind of intelligence that (to our knowledge) has only ever been achieved by the

How Eliza Chatbot works? - ChatBot Pack

Afraid her parents wouldn't want him to, but Eliza tells him they would, as she'll talk them into it. Darwin then walks up to a clothesline, and Eliza asks him if he'd like to dress like them too. So, Eliza takes a blue and white striped shirt and blue shorts and puts them on Darwin and lets him look through a mirror. Nigel, Marianne and Debbie then arrive, and Eliza gets excited to tell them about her new powers. When Debbie drops a plug cable, she sees Darwin wearing her lucky top, and gets freaked out by it. Debbie then chases after Darwin to try to get it back from him, but then decides to let him keep it because he dirtied it by scratching himself on it. Eliza then takes Darwin with her to her parents. But as soon as she started to talk to her parents, Nigel and Marianne only hear Eliza speaking in chimp language. "I told you she was loon," Debbie says. Eliza then notices the shaman got the spell wrong, and now Eliza can't talk to people anymore. Eliza then hurries off with Darwin to go find the shaman, as Marianne calls to her to be back by night fall as they're later leaving for Kenya.Back in the jungle, Eliza tries to find the shaman, but she couldn't find him and fears he's probably gone forever. Eliza sadly wonders what she's going to do since she can't talk to her family anymore and fears she might be like this for the rest of her life. Eliza then sits down on a rock and started to cry, as Darwin tells her she can still talk to him. Just then, a truck passes by and she sees the shaman on board it. Eliza then runs after the truck calling to the shaman to try to get him to answer her, but he doesn't. Eliza then tries to find a shortcut through the jungle. As she and Darwin go through the jungle, Eliza wishes there's someone she could ask, but she'd probably bark at them if there was. Eliza then remembers she can talk to animals and suggests they can help her. After being unable to ask some monkeys how to get to the road and they tickle her and Darwin, they swing on a vine to another tree, and a vulture lands right next to them. Eliza nervously says hello to the vulture, and the vulture asks her if she's alright, and Eliza tells her she is. The vulture then tells them it's too bad they're way too fresh for her to eat. When Eliza tries to ask the vulture how to get to the road, she. From early age chatbot ELIZA to modern-day chatbot ChatGPT, we’re going to represent you throughout the entire history of chatbots. 1. ELIZA. ELIZA was created by

Eliza - the original chatbot - learningpages.org

"Gift of Gab" is an episode of The Wild Thornberrys. This episode of The Wild Thornberrys is a flashback episode. This episode explains how Eliza got her powers and how she met Darwin.Summary[]This is a flashback episode. It explains how Eliza and Darwin met. It also explains how Eliza got her power to talk to animals. This episode has events that has happened two years prior to the start of the series.Synopsis[]The episode starts out with Eliza as a ten-year-old wandering through the jungle in Nigeria. Then she apparently gets eaten by a giant python. Darwin supposedly saves Eliza from a bunch of witch doctors. However, Eliza tells Darwin that it was not the way she remembers it, and she starts to tell Darwin what really happened when they first met each other, and she first got her powers to talk to animals.It all started out two years ago when Eliza was ten years old. The Thornberrys were in Western Africa, shooting their very first Thornberry Documentary. Nigel was driving the ComVee on a really long road, then suddenly, he tells the family to look up in a tree as he sees a bee-eater. He gets distracted and isn't really paying attention to how he's driving. Marianne tells Nigel that maybe he'd enjoy the sights a little more if she was driving and he wasn't. Nigel suggests it's a smashing idea, and Marianne takes the wheel.At their camp site, while Marianne was filming Nigel for the first episode of Nigel Thornberry's Animal World, Eliza looked around. Eliza then suddenly sees a chimpanzee and says hi to him. The chimp then hides, and Eliza tries to speak to him in chimp language to communicate with him. The chimp understands her and walks up to her, and they start to walk together. The chimp then runs up to their table where Debbie was putting on her makeup. The chimp then jumps onto the table and scares Debbie in the process. Debbie then tells the chimp to get away from her and throws one of her makeup supplies at him, making him run off. Eliza then yells at Debbie telling her to not treat a little animal like that, and Eliza runs off to go after the chimp.Eliza goes through the jungle to try to find the chimp. While trying to find him, Eliza suddenly hears a sound. Eliza then finds a warthog with its leg caught in a bear trap, and she decides to help it. So, Eliza grabs holds of the trap and opens it, freeing the warthog's leg. As the warthog walked towards Eliza after freeing it, all of a sudden, the warthog started to transform. The warthog turns into