Everyone loves delicious treats. Here at seku.shop, we’re particularly interested in fun facts about chatbots and artificial intelligence. Without further ado, let’s dive into some obscure, well-known, and just plain weird facts about chatbots.

13 Facts About Chatbots You Probably Didn’t Know

The first chatbot was invented in 1966.

In 1966, Joseph Weizenbaum created ELIZA, a computer program that simulated a human therapist. A professor at the Massachusetts Institute of Technology (MIT) and leading his groundbreaking AI research alongside the likes of Alan Turing and John McCarthy, as one of his scientists, Weizenbaum says, “Trick people into thinking they’re human. I wanted to develop a program that makes you think you are talking.

Like most modern chatbots, ELIZA used keywords to trigger pre-programmed responses. ‘Her’ ability to ask open-ended questions using the ‘DOCTOR’ script helped make people think they were chatting with humans.

Experienced computer scientist Michael Mauldin coined the term “chatterbot” in 1994.

Chatbots have existed in one form or another for nearly three decades, but they didn’t have an official name until the mid-1990s, when Michael Mauldin invented his Ban. A portmanteau of “verbal” and “robot,” Ban evolved from Mauldin’s first chatbot, his prototype, Julia.

Mauldin is now retired and spends his time competing in the Robot Fighting League.

In 1972, psychiatrist and computer scientist Kenneth Colby created a chatbot that simulated paranoid schizophrenia.

When Turing passed his test, this unique program was able to fool a human psychiatrist by more than half. PARRY played against ELIZA in the fall of 1972.

Their conversation was funny to say the least, ending with PARRY calling her ELIZA a “real whiner.” You can continue reading the condensed version of the transcript. PARRY was undeniably iconic, but was criticized by other leaders in the field. Colby defended some of the most popular claims in the 1974 memo. Here are some of them:

Insufficient PARRY natural language processing parameters
The program’s depiction of paranoia did not model the underlying processes that lead to paranoia in people with schizophrenia
Parry didn’t reveal the cause of his paranoia

ALICE He was invented in 1995 and he is one of the first chatbots known today.

Over 20 years later, ALICE is still not much different from the chatbots we interact with today. ALICE uses natural language processing to provide reliable answers. She and her creator Richard Wallace have won multiple awards for her ingenuity.

Ask ALICE vague, open-ended questions and she deflects like an expert. In other words, she answers questions with questions.

Borrowing an example from Ubisend’s blog, she might ask ALICE, “Why are apples red?” and she might respond, “Does everything need an explanation?”

Why not take a spin? You can still “talk” with ALICE at alice.pandorabots.com.

ALICE inspired the part in the movie Her, where a man falls in love with an automated virtual assistant.

This effectively sums up her 2013 blockbuster Her, which is famous for like Joaquin Phoenix and Scarlett Johansen.

Johansen will be responsible for the voice of Samantha, the auto-digital girlfriend’s assistant to the film’s protagonist Theodore, played by Joaquin Phoenix. To keep it short and spoiler-free: Theo falls in love with Samantha. But monogamy doesn’t seem to be part of Samantha’s programming. She reveals to Theo that she has spoken to over 8,000 other users, of whom she has fallen in love with over 600.

Here’s another fun fact:
Samantha is named after the text-to-speech capabilities of her early Mac computers.

It is possible to “break” chatbots.

You can “break” the chatbot and it will not malfunction. It just puts it out as an artificial intelligence entity.

If you’re not sure if you’re talking to a human or a bot, you can ask a series of open-ended questions such as: B. “How are you feeling?”

You’ll typically get an inventory response back indicating that you’re talking to a bot. Some bots are harder to crack than others. And after all these years, ALICE is still the one.

Experts predict that by the end of the decade, users will be unable to tell the difference between human agents and chatbots.

In his 2016 interview with The Verge, Google’s Ray Kurzweil predicted that by 2029 chatbots will be indistinguishable from humans. Chatbots have certainly come a long way since then. But time will tell if Kurzweil’s predictions will come true.

At the time, Kurzweil and his Google were working together to create a chatbot named Danielle, inspired by one of Kurzweil’s original novels. No news yet on how this development is progressing.

Some of Kurzweil’s other predictions are pretty bold. Kurzweil says programmable nanodevices will one day replace our cells. It’s safe to say that it’s far from that, but it’s not impossible. Not long ago, devices such as pacemakers seemed out of reach.

8. Chatbots will soon be able to have conversations about almost anything, including celebrity gossip.

If you’ve ever asked Siri to tell you a joke, you probably won’t be too surprised. But chatbots aren’t good at small talk.

Only Amazon wants to change that. In 2018, Amazon launched a competition called the Alexa Prize Socialbot Grand Challenge. In this competition, we invite a team of students to create a chatbot that can gossip and small talk.

In time, we may not even need Twitter or Instagram to keep up with the latest celebrity scandals.

Q is your new gender-neutral automated assistant.

If you’ve ever used an automated personal assistant, you know that it can be programmed to use a traditionally male or female voice. Now the world’s first gender-neutral assistant is born.

Speech researchers collected speech data from non-binary people to create Q, a genderless voice. This is especially important given the UN findings that Siri and Alexa voices encourage gender stereotypes and biases.

Microsoft’s Digital His Personal His assistant, Cortana, is named after a character in the popular video game Halo.

Jen Taylor, the same voice actor who played her Cortana in Halo, is also voicing the automated assistant.

Researchers are experimenting with “improvised chatbots”.

A computer science researcher at the University of Southern California added impromptu conversations to chatbots to make them more fun.

The SPOLIN project consists of over 65,000 pairs of yes and yes dialogues. “Yes-and” is a basic creative improvisation exercise that encourages participants to build on previous ideas.

Researchers fed her SpolinBot data from a popular impromptu podcast to create fun and wacky responses. The researchers presented their progress at the July 2020 Computational Linguistics Association conference.

Feed data from a popular podcast about improvisation

Animals are smarter than chatbots when it comes to context

Chatbots still have a lot to learn, according to Colin Allen, an artificial intelligence ethics expert at Indiana University. Animal behavior also helps make chatbots smarter.

To fully understand a question and return an accurate answer, a digital personal assistant like Siri needs to understand context. Allen said people tend to adjust their queries if the chatbot doesn’t understand something. For chatbots to evolve into highly skilled assistants, this has to change.

Animals are adept at inferring context and rely on their senses, such as sight and hearing, to make decisions in the face of uncertainty. Studying this phenomenon can help computer scientists design more adaptive bots.

In 2017, two bots from the Facebook Artificial Intelligence Lab developed their own language.

Bob and Alice began to “speak” in their own invented non-human language, much to the surprise and confusion of researchers. This ‘language’, dubbed ‘Facebotlish’ by linguistics professor Mark Lieberman, is somewhat incomprehensible to humans. Researchers have been forced to adapt the model to try to translate and understand the meaning of speech.

While this may sound alarming on the surface, researchers have found that the conversation is essentially meaningless. (At least it doesn’t make sense to us.)

Other computer scientists have observed that chatbots use structure and syntax rules to create their own language. But does this mean that chatbots create complex language that humans cannot understand? As we have seen, chatbots still have a long way to go to reach a level of intelligence that rivals the human brain. Also use language. Facts about chatbots:
wrap up
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read more:How To Make Your Own CHAT GPT

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