different tasks while having human-like conversations
The use of Artificial Intelligence (AI) continues to develop rapidly. San Francisco-based OpenAI recently made its latest creation, the ChatGPT chatbot, available for free public testing. It is designed to simulate human conversation based on user input and can answer virtually anything – from physics to birthday party ideas – and from writing essays, poems and jokes to medical diagnoses. After the release of ChatGPT, hundreds of screenshots of ChatGPT chats were shared on Twitter, and many of its early followers were surprised to see the results. We look at why everyone is obsessed with it and whether it really adds skills.
ChatGPT is pretty scary, says Elon Musk
“ChatGPT is pretty scary. We are not far from strong dangerous AI,” Elon Musk said on Twitter recently. Meanwhile, Musk also has a history with the company that created ChatGPT. OpenAI was founded as a nonprofit in 2015 by Silicon Valley investors Sam Altman and Elon Musk and has attracted funding from several others, including venture capitalist Peter Thiel. In 2019, the group created a joint venture for profit to receive foreign investment. Musk resigned from the OpenAI board in February 2018 but remained a contributor.
OpenAI says that ChatGPT uses a machine learning technique called “Reinforcement Learning from Human Feedback (RLHF) and can simulate dialogue, answer follow-up questions, admit mistakes, challenge incorrect structures and reject inappropriate requests. It can be used in real-world applications such as digital marketing, creating online content, answering customer service questions, etc. From ‘What’s the best burger recipe?’ to ‘Create a piano piece in the style of Mozart’, users ask ChatGPT strange questions, and he answers them successfully.
Are your jobs at risk?
After people became aware of ChatGPT and its use, many social media users said that people’s jobs were at risk. However, we have to hold our horses as ChatGPT has its limitations. The way it generates answers – in very simple terms, by making possible guesses about which pieces of text belong together in a sequence, based on a mathematical model trained on billions of examples of text extracted from all over the Internet – makes it easy to provide. which is wrong
– Gaurav Kadam