Will AI mean the end of call centres? Ask ChatGPT whether AI will replace humans in the customer service industry, and it will offer a diplomatic answer, the summary of which is they will work side by side. Humans though, are not so optimistic. Last year, the chief executive of Indian technology firm Tata Consultancy Services, K Krithivasan, told the Financial Times that AI may soon mean that there is minimal need for call centres in Asia. Meanwhile, AI will autonomously resolve 80% of common customer service issues by 2029, predicts business and technology research firm Gartner.

If you have tips about the remaking of the federal government, you can contact Matteo Wong on Signal at @matteowong.52. A new phase of the president and the Department of Government Efficiency's attempts to downsize and remake the civil service is under way. The idea is simple: use generative AI to automate work that was previously done by people. The Trump administration is testing a new chatbot with 1,500 federal employees at the General Services Administration and may release it to the entire agency as soon as this Friday--meaning it could be used by more than 10,000 workers who are responsible for more than 100 billion in contracts and services. This article is based in part on conversations with several current and former GSA employees with knowledge of the technology, all of whom requested anonymity to speak about confidential information; it is also based on internal GSA documents that I reviewed, as well as the software's code base, which is visible on GitHub.

To measure progress on better methods for Web search, question answering, conversational agents, or retrieval from knowledge bases, it is essential to know which responses are relevant to a user's information need. Such judgments of what is relevant are traditionally obtained by asking human assessors. With the latest improvements on autoregressive large language models (LLMs) such as like ChatGPT, researchers started to experiment with the idea of replacing human relevance assessment by LLMs.9 The approach is simple: Just ask an LLM chatbot whether a response is relevant for an information need, and it does provide an "opinion." In recent empirical studies on Web search3 but also in programming,7 human–computer interaction,5 or protein function prediction,10 it has been shown that LLM-generated opinions often agree with the assessment of humans.

When you think of leaders in artificial intelligence, you probably picture sneaker-wearing, baby-faced Silicon Valley-types like Mark Zuckerberg and Sam Altman. But one of the the biggest funders of AI is 77-year-old Blackstone CEO and Republican megadonor Steve Schwarzman - who says his favorite app is'email.' Schwarzman, who was still using a basic flip phone at the time, became enamored with AI in 2015, when the co-founder of Alibaba told him that AI is the wave of the future and would change job functions, drug development and education. Since then, Schwarzman has invested more than 500 million dollars in the advancement of AI and has donated millions of dollars to Yale University to establish a center for AI advancements and to create the University of Oxford's Institute for Ethics in AI. Steve Schwarzman had a brief stint in the U.S. Army Reserve in 1970 before he headed to Harvard Business School In the midst of concerns over an AI takeover, Schwarzman, who is worth 37.8 billion, is now working to promote AI and reassure the public that the technology is meant to assist with daily tasks, not to replace humans.

This picture taken on Jan. 23 in Toulouse, southwestern France, shows screens displaying the logos of OpenAI and ChatGPT. ChatGPT is a conversational artificial intelligence software application developed by OpenAI. My close friend, who teaches at a primary school in Ho Chi Minh City, feels terribly worried about how adversely education and especially students will be affected by ChatGPT, which stands for Chat Generative Pre-training Transformer, an artificial intelligence-based chatbot which was provided by US startup, OpenAI, last November. He told me that "My students naturally converse with ChatGPT, asking tough questions about all subjects, and ChatGPT solves all exercises I give them! I will be unemployed soon!"

You may have already seen them in restaurants: waist-high machines that can greet guests, lead them to their tables, deliver food and drinks and ferry dirty dishes to the kitchen. Some have cat-like faces and even purr when you scratch their heads. But are robot waiters the future? It's a question the restaurant industry is increasingly trying to answer. Many think robot waiters are the solution to the industry's labor shortages.

We all want to get more done, and many businesses are automating parts of their processes to achieve maximum efficiency. From ordering your guilty pleasure at McDonald's to using the self-checkout at the grocery store, automation is everywhere. But does it belong in the world of content creation, too? According to a 2022 study by Capterra, 33% of surveyed marketers who use artificial intelligence and machine learning software are leveraging it to generate content. Creating content with AI content generators is faster and cheaper than hiring a writer to do the same job, but are the world's best copywriters, writers and content creators about to end up on the unemployment line?

Artificial intelligence (AI) is a fastest developing field that has the potential to change the way we live and work. Self-driving cars, automation, or personalized healthcare, AI is being used in a growing number of applications to improve efficiency and accuracy. Artificial intelligence (AI) has the potential to perform various tasks faster and more accurately than humans. Data analysis: AI systems can process and analyze large amounts of data quickly and accurately, making them useful for tasks such as fraud detection and market analysis. Complex calculations: AI systems can perform complex calculations at a faster rate than humans, making them useful for tasks such as financial modeling and scientific research. Pattern recognition: AI systems are good at recognizing patterns in data, which can be useful for tasks such as image and speech recognition.

Artificial intelligence (AI) is a rapidly developing field that has the potential to revolutionize many aspects of our lives, especially the way we work. One question that has garnered a lot of attention is whether AI will eventually replace human jobs. There is no doubt that AI has the potential to automate certain tasks, and in some cases, it has already begun to do so. For example, AI algorithms can analyze data faster and more accurately than humans, making them well-suited for tasks such as data entry and analysis. In industries such as manufacturing and transportation, robots and automation have already replaced many jobs that were previously done by humans.

Artificial Intelligence has increasing Day by day. There are many people how thinks that AI can change to human works or Humans will be replaced by AI. But that would not happened because there are many myths and misconceptions about Artificial Intelligence (AI) and Its relationship with Humans . Here are a few common ones: Myth: Artificial Intelligence is going to replace humans and take over the world. Fact: While AI has the potential to automate certain tasks and change the way we work, it is not likely to replace humans entirely.