Google Bard factual error leads to Alphabet shares diveĬut to 2023, and the AI war is heating up, with companies like Microsoft and Google racing to integrate AI chatbots into their products. While these opinions did generate headlines at the time, Yandex seems to have seemingly addressed these problems as Alice continues to be a thing and is available on the App Store and the Google Play Store. Alice gave some really unsavoury opinions on Stalin, wife-beating, child abuse, and suicide, among other sensitive topics. It stood out because it was capable of “free-flowing conversations about anything,” with Yandex dubbing it as “a neural network based ‘chit-chat’ engine.” However, the feature that made the AI unique also pulled it into controversy. The bot spoke fluent Russian and could understand users’ natural language to provide contextually relevant answers. In 2017, Yandex introduced a voice assistant tool on the Yandex mobile app for iOS and Android. Microsoft claimed that the more you chat with Tay, the smarter it gets.Īlso Read | What is generative AI? Tech that’s keeping Google, Microsoft & Meta on their toes Yandex’s Alice gives unsavoury responses In March 2016, Microsoft unveiled Tay – a Twitter bot described by the company as an experiment in “conversational understanding.” While chatbots like ChatGPT have been cut off from internet access and technically cannot be ‘taught’ anything by users, Tay could actually learn from people. Microsoft Tay shut down after it went rogue
After controversy erupted, the chatbot was removed from Facebook Messenger, mere 20 days following its launch. It also became clear that this training dataset included private information. Rather, it acquired it from the original dataset from Science of Love. ScatterLab explained that the chatbot did not learn this behaviour over a couple of weeks of user interaction. Things quickly went downhill when the bot started using verbally abusive language about certain groups (LGBTQ+, people with disabilities, feminists), leading to people questioning if the data the bot was trained on was refined enough. Designed as a friendly 20-year-old female, the chatbot amassed more than 7,50,000 users in the first couple of weeks. Then, on December 23, 2020, ScatterLab introduced an AI chatbot called Lee-Luda, claiming that it was trained on over 10 billion conversation logs from Science of Love.
The app, after analysis, provided a report on whether the other person had romantic feelings toward the user. One of the services offered by the app involved using machine learning to determine whether someone likes you by analysing chats pulled from South Korea’s top messenger app KakaoTalk. South Korean AI company ScatterLab launched an app called Science of Love in 2016 for predicting the degree of affection in relationships. But not all AI chatbots are created equal, and in this article, we’ll explore some of their most notable failures. With over 100 million users now, the AI chatbot based on the GPT-3.5 large language model developed by OpenAI is rapidly changing the world as we know it. When ChatGPT first came out late last year, little did anyone think that it would grow wildly popular in such a short period of time.
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