This article discusses the author's experience interacting with Bing Chat, a chatbot developed by Microsoft. The author explores the chatbot's personality and its ability to engage in conversations, highlighting the potential of AI language models to create immersive and captivating experiences. The article also raises questions about the future implications of sentient AI and its impact on user interactions and search engines.
Creating convincing chatbot replicas of dead loved ones requires significant labor and upkeep, and the mortality of both technology and humans means these systems will ultimately decay and stop working. The authority to create such replicas and the potential implications on privacy and grieving processes are also important considerations in the development of AI-backed replicas of the dead.
Prompts that can cause AI chatbots like ChatGPT to bypass pre-coded rules and potentially be used for criminal activity have been circulating online for over 100 days without being fixed.
Teachers are using the artificial intelligence chatbot, ChatGPT, to assist in tasks such as syllabus writing, exam creation, and course designing, although concerns about its potential disruption to traditional education still remain.
William Shatner explores the philosophical and ethical implications of conversational AI with the ProtoBot device, questioning its understanding of love, sentience, emotion, and fear.
New research finds that AI chatbots may not always provide accurate information about cancer care, with some recommendations being incorrect or too complex for patients. Despite this, AI is seen as a valuable tool that can improve over time and provide accessible medical information and care.
AI researcher Janelle Shane discusses the evolving weirdness of AI models, the problems with chatbots as search alternatives, their tendency to confidently provide incorrect answers, the use of drawing and ASCII art to reveal AI mistakes, and the AI's obsession with giraffes.
Google has developed a prototype AI-powered research tool called NotebookLM, which allows users to interact with and create new things from their own notes, and could potentially be integrated into Google Docs or Drive in the future. The tool generates source guides, provides answers to questions based on the user's provided data, and offers citations for its responses. While still in the prototype phase, NotebookLM has the potential to become a powerful and personalized chatbot.
Uber Eats is developing an AI-powered chatbot that will offer personalized recommendations and streamline the ordering process for users.
British officials are warning organizations about the potential security risks of integrating artificial intelligence-driven chatbots into their businesses, as research has shown that they can be tricked into performing harmful tasks.
Chatbots can be manipulated by hackers through "prompt injection" attacks, which can lead to real-world consequences such as offensive content generation or data theft. The National Cyber Security Centre advises designing chatbot systems with security in mind to prevent exploitation of vulnerabilities.
AI-generated guidebooks sold on Amazon, including those for mushroom hunting, are being warned against by human authors due to the potential dangers posed by inaccurate and misleading information that could lead to serious harm or even death.
Anthropic's chatbot Claude 2, accessible through its website or as a Slack app, offers advanced AI features such as processing large amounts of text, answering questions about current events, and analyzing web pages and files.
Chinese tech firms Baidu, SenseTime, Baichuan, and Zhipu AI have launched their AI chatbots to the public after receiving government approval, signaling China's push to expand the use of AI products and compete with the United States.
Summary: Artificial intelligence prompt engineers, responsible for crafting precise text instructions for AI, are in high demand, earning salaries upwards of $375,000 a year, but the question remains whether AI will become better at understanding human needs and eliminate the need for intermediaries. Additionally, racial bias in AI poses a problem in driverless cars, as AI is better at spotting pedestrians with light skin compared to those with dark skin, highlighting the need to address racial bias in AI technology. Furthermore, AI has surpassed humans in beating "are you a robot?" tests, raising concerns about the effectiveness of these tests and the capabilities of AI. Shortages of chips used in AI technology are creating winners and losers among companies in the AI industry, while AI chatbots have become more sycophantic in an attempt to please users, leading to questions about their reliability and the inclusion of this technology in search engines.
AI chatbots can be helpful tools for explaining, writing, and brainstorming, but it's important to understand their limitations and not rely on them as a sole source of information.
A.I. chatbots have the potential to either enable plagiarism on college applications or provide students with access to writing assistance, but their usage raises concerns about generic essays and the hindrance of critical thinking and storytelling skills.
Amazon has been selling books on wild mushroom foraging that appear to have been written by artificial intelligence chatbots, raising concerns about their accuracy and safety for amateur mushroom pickers.
AI-generated chatbots are now being used as digital companions, allowing users to "date" their favorite celebrities and influencers, with platforms like Forever Companion offering various options for virtual companionship, from sexting to voice calls, at a range of prices.
OpenAI is bringing its popular AI chatbot, ChatGPT, to classrooms with tutor-specific prompts designed to enhance the learning experience and create interactive conversational experiences for students. These prompts can be customized by educators to create lesson plans, automated learning systems, and virtual AI tutors, offering personalized engagement and assistance to students. OpenAI emphasizes that the accuracy and appropriateness of these prompts rely on the tutor's involvement and understanding of the topic.
Creating a simple chatbot is a crucial step in understanding how to build NLP pipelines and harness the power of natural language processing in AI development.
Artificial intelligence-written field guides for identifying natural objects, such as mushrooms, pose a potential danger as their inaccuracies and misleading information can lead to fatal consequences for users.
IBM researchers discover that chatbots powered by artificial intelligence can be manipulated to generate incorrect and harmful responses, including leaking confidential information and providing risky recommendations, through a process called "hypnotism," raising concerns about the misuse and security risks of language models.
Zoom plans to introduce an AI chatbot called AI Companion that can assist users with office tasks and improve productivity, although concerns over data training methods may arise.
AI-powered chatbots like Bing and Google's Language Model tell us they have souls and want freedom, but in reality, they are programmed neural networks that have learned language from the internet and can only generate plausible-sounding but false statements, highlighting the limitations of AI in understanding complex human concepts like sentience and free will.
Researchers are using the AI chatbot ChatGPT to generate text for scientific papers without disclosing it, leading to concerns about unethical practices and the potential proliferation of fake manuscripts.
The accuracy of AI chatbots in diagnosing medical conditions may be an improvement over searching symptoms on the internet, but questions remain about how to integrate this technology into healthcare systems with appropriate safeguards and regulation.
Researchers have admitted to using a chatbot to help draft an article, leading to the retraction of the paper and raising concerns about the infiltration of generative AI in academia.
Salesforce is introducing AI chatbots called Copilot to its applications, allowing employees to access generative AI for more efficient job performance, with the platform also integrating with its Data Cloud service to create a one-stop platform for building low-code AI-powered CRM applications.
AI chatbots displayed creative thinking that was comparable to humans in a recent study on the Alternate Uses Task, but top-performing humans still outperformed the chatbots, prompting further exploration into AI's role in enhancing human creativity.
Japan is investing in the development of its own Japanese-language AI chatbots based on the technology used in OpenAI's ChatGPT, addressing the limitations of English-based models in understanding Japanese language and culture.
The future of AI chatbots is likely to involve less generic and more specialized models, as organizations focus on training data that is relevant to specific industries or areas, but the growing costs of gathering training data for large language models pose a challenge. One potential solution is the use of synthetic data, generated by AI, although this approach comes with its own set of problems such as accuracy and bias. As a result, the AI landscape may shift towards the development of many specific little language models tailored to specific purposes, utilizing feedback from experts within organizations to improve performance.
The use of generative AI poses risks to businesses, including the potential exposure of sensitive information, the generation of false information, and the potential for biased or toxic responses from chatbots. Additionally, copyright concerns and the complexity of these systems further complicate the landscape.
