No, but OpenAI CEO Sam Altman said a few months ago that GPT-4 was coming. Current estimates predict a release date sometime in 2022, probably around July-August. Despite being one of the most anticipated news about artificial intelligence, there is little public information about GPT-4: what it will be like, its characteristics or capabilities.Generative Pre-Trained Transformer 3 (GPT-3) is a language model that uses deep learning to generate human-like text (output). Not only can it produce text, but it can also generate code, stories, songs, etc.GPT-3 has been publicly available since 2020 via the OpenAI API; since March, OpenAI has said that GPT-3 is used in more than 300 different applications by "tens of thousands" of developers and produces 4.5 billion words a day.The so-called Turing test is a three-person game in which a computer uses written communication to try to trick a man who is questioning him into thinking he is another person. Despite great advances in artificial intelligence, no computer has ever passed the Turing test.The 65-year-old Turing test was successfully passed if the computer was replaced by a human more than 30% of the time during a series of five-minute keyboard conversations.Sofia's dialogue is generated through the decision tree, but is uniquely integrated with these outputs. According to The Verge, Hanson often exaggerates and “grossly deceives” about Sofia’s capacity for consciousness, for example agreeing with Jimmy Fallon in 2017 that Sofia is “basically alive”.Each judge participated in a text conversation with each of the five bots; at the same time, they talked to the man. A total of 300 interviews were conducted. In Warwick's view, this made Goostman the first machine to pass the Turing test.Fast forward to 2014 - Eugene Goostman, a computer program that simulated a 13-year-old boy from Ukraine, made headlines claiming to have passed the Turing test. The bot convinced 33% of human judges that it was a man (read some of the transcripts of the conversation here).The next most obvious and significant limitation is that the GPT-3 has limited input and output sizes. It can receive and eject 2,048 linguistic tokens, or about 1,500 words. That’s a significant number of words and more than previous iterations of GPT, but still quite limited.Arithmetic performance up to 5 digits with great precision. Common language translation (improvement over GPT-2) Writing stories with a good ending. Predicting the last words of sentences by contextual recognition.GPT-3 is a big step forward in the world of AI, and when used properly, is a great opportunity in the world of support. We are excited about its usefulness today and its potential use in the future.