The explosive growth of AI chatbots is hitting a wall: a shortage of high-quality data. This is fueling copyright lawsuits, forcing AI companies to explore unconventional data sources, and raising serious ethical questions about the future of artificial intelligence.
Dating apps like Tinder, Bumble, and Grindr are turning to AI to help users navigate the online dating landscape. These AI assistants, dubbed ‘wingmen’, offer features like conversation starters, profile optimization, and feedback on user interactions. This trend comes as dating apps face user burnout and a struggle to attract new users.
Backprop, an Estonian GPU cloud startup, has discovered that a single NVIDIA RTX 3090 GPU can power an AI chatbot capable of handling customer service requests for hundreds of users simultaneously. This finding suggests that businesses can implement AI chatbots without needing vast GPU clusters.
This article delves into the history of artificial intelligence, highlighting 12 crucial milestones that shaped its development. From Alan Turing’s groundbreaking paper to the emergence of powerful AI chatbots like ChatGPT, we explore the key advancements, challenges, and breakthroughs that have propelled the field forward.
Character.AI, the popular digital avatar startup, has introduced ‘Character Call’, allowing users to engage in real-time conversations with AI agents. This feature builds upon the company’s existing AI-generated voice technology, expanding the possibilities for interactive experiences, from language practice to roleplaying.
OpenAI founder Sam Altman has shared his thoughts on the newly released GPT-4o model, highlighting its impressive capabilities and potential. Altman described the AI’s performance as something out of a movie, particularly praising its voice and video modes for providing a natural and intuitive interface. He emphasized the significant improvement in response times, making interactions with GPT-4o feel more like real conversations. Altman also discussed the evolution of OpenAI’s vision and the potential for monetization while providing free access to billions of people. GPT-4o integrates voice, video, and text for more natural interactions, with reduced response times of milliseconds mimicking real-time conversations. The updated version will be available to both premium and basic tier users.
Despite its lesser-known status, Microsoft Copilot offers a comprehensive suite of features that surpass ChatGPT’s capabilities. From its up-to-date knowledge base to its innovative voice and image inputs, Copilot empowers users with a seamless and versatile AI experience. This article explores seven key features that make Copilot a formidable competitor to the AI giant ChatGPT.
Mark Zuckerberg, CEO of Meta Platforms, has outlined the company’s vision for the future of AI, emphasizing the transition from chatbots to more advanced ‘agents’. These agents would be able to handle more complex tasks and goals, performing multiple queries to achieve the desired outcome. Zuckerberg expressed confidence in Meta’s ability to develop leading AI models and reaffirmed the company’s long-term commitment to AI investment.
Leading tech companies are embracing the transformative power of AI-enabled chatbots to enhance customer service and deliver unparalleled experiences. These advanced chatbots leverage natural language processing (NLP) and machine learning (ML) capabilities to provide personalized assistance, resolve queries efficiently, and automate customer interactions.
Recent meetings between Nvidia founder Jensen Huang and Perplexity AI CEO Aravind Srinivas have sparked speculation about a potential partnership between the two companies. Srinivas, who posted photos of his encounter with Huang, hinted at a collaboration, mentioning that Huang uses Perplexity’s search engine “almost every day” for research, alongside OpenAI’s ChatGPT. Notably, both Perplexity AI and OpenAI utilize Nvidia’s hardware, and Nvidia is also an investor in Perplexity AI, having led a recent $73.6 million fundraise.
