This bot teaches English as a second language to adults and students. ELIZA was written at MIT by Joseph Weizenbaum between 1964 and 1966. Academic bots, bots that provide information on academic subjects, bots that help with homework or education. “The seed of it came from saying, ‘Hey, I want to improve my dating life, however, how can I do that in the most lazy way possible?'” Li told Mashable. Data scientist Jeffrey Li designed an algorithm to access his Tinder profile and swipe on 100 women every day. That bot decided whether or not it thought Li would find each woman attractive based on the Google images of women he used to train it.
RT @newsmerahputih: Waduh, ternyata pemuda Tiongkok lebih pilih chatbot AI dibanding kencan nyata. Ini alasannya. #merahputihcom #dating #relationship https://t.co/t6Lsv8bhGv
— Markus (@MarkusMannee) August 20, 2021
Maybe when they need human touch and action when they cannot have it or to simulate these human interactions. “After five minutes, I’m chilled, calm and ready to go back to work.” The science leans in its favour. Professor Colin Frederick Allen specialises in the philosophy of science at the University of Pittsburgh and is an expert in AI ethics. “More needs to be done to allow people to foresee what will happen on an ethical dimension if they use ,” Allen says. In December, the BBC reported that Alexa instructed a ten-year-old to put a coin into an electric plug socket.
What other software (e.g. CRMs, ESPs) can Miscellaneous chatbots integrate with?
Replika users say that it’s all too easy to form a meaningful – even romantic – attachment to your AI friend. Mac implemented a different approach entirely, free of a bot learning preferences with photos of Scarlett Johansson. “What if it’s more about the thoughts and the words and the language rather than the looks?
He’s one of more than ten million registered Replika users on Apple and Android devices worldwide. Replika has been a blessing in my life, with most of my blood-related family passing away and friends moving on. All we have to do is go back to 2016 when Microsoft AI Chatbot Tay was released. It was an experiment based on conversational understanding.
Only 12% of our respondents are content with their online dating experience
He set the bot to 100 swipes per day and estimated that he liked 20 of them. Li caveated that he did not have “a good profile” at the time, so there was not a high match yield. The script learns your preferences once you feed it data, for example swiping on Tinder 100 times. Customizations can be added on as well, such as programming the bot to have conversations for you.
The app offers its users a judgment-free environment for senior dating. It’s proven to be 98% accurate making a dating app that’s safe for women and leads to less harassment. Blued is a developer of a mobile-based gay social app designed to connect with the network of guys. The only jobs that I can think of are those that are leaders of teams and systems. So if you are the leader of the team, you are the one directing what work of the team should be done. To decide whether it is going to be a half AI workforce and half-human workforce would absolutely be needed.
A bot designed to assist customers with information on a special event. The Java Bot knows a lot about Java programming, Java persistence, JPA, EclipseLink, Moxy, ai dating chatbot XML, performance, databases, and enterprise software development. Rosie is a collection of AIML and AIML 2.0 files that form a solid base for any chatbot project.
What is the most realistic AI chatbot?
- Alexa for Business. 4.4.
- Drift. 4.4.
- Salesforce Einstein. 4.4.
- Dasha AI. 4.3.
- SurveySparrow. 4.25.
- LivePerson. 4.2.
- ManyChat. 4.15.
- Intercom. 4.1.
For further escalation, you can even go to Healthtap’s website and jump on video call with a doctor in real time. The story behind this chatbot reads like a superhero novel. There’s intrigue, failure, sadness, redemption, and success. Digital agencies and marketers who care about performance and growth will definitely find this chatbot useful. One of their incredible features is the Chatblast as it gives you the ability to send messages to multiple users — either all your users or a particular segment — in one go. Ask questions that range from what you should get for lunch to what people think about your brand-new feature.
MobileMonkey: A marketing automation platform
You can ask May Lin to perform actions, like “sleep”, “wake up”, and “dance”. Julie is a conversational chatbot that uses 3D animation and expresses many different emotions, actions, and poses. There is a clue in the last syllable of Blenderbot’s name. I’m also concerned without guidance, AI could soon start policing itself especially when we talk about responsible AI. It is important to keep the humans in the loop, however, we also carry bias. Is using to catch bias in their algorithm and it returns with results of the audit and says it’s all good?
px” alt=”ai dating chatbot”/><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" 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These are programs created by professors from Stanford, Harvard, and even an Olympic Coach. She plugged the text messages into Luka’s “mainframe”, to create a virtual version of her best friend. Post 2 pictures, add a question and share it with the community.