Generative AI is a form of artificial intelligence that can mimic human imagination and creativity. The term "generative" refers to models’ ability to generate original content, including text, video, audio, and more.
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Using OpenAI’s video-generation tool Sora, a user can create impressive, hyper-realistic video footage from a simple text prompt. This short film features a whimsical look at a balloon-headed person navigating the world.
Daniel Ha is a venture capitalist who built a suite of AI agents to boost his productivity, both professionally and personally. At his VC firm, a troupe of agents gathers data on startups and analyzes it from competing perspectives to produce a confidence score. When his dad was diagnosed with cancer, Ha used an oncology-trained AI to help him understand the condition.
UK startup, Moth, collaborated with electronic artist ILĀ to create the world's first song using quantum-powered generative AI. The technology has the potential to help create more personalized content based on input parameters, such as music or dialogue in games.
Although the majority of Apple's profits come from iPhone, iPad, and Mac sales, CEO Tim Cook has overseen a diversification of products since the acquisition of the Beats headphone brand in 2014, including the launch of the Apple Card, Apple TV, and the Vision Pro headset.
Since ChatGPT's debut of its chatbot in November 2022, the daily use of generative AI has skyrocketed. This chart shows which chatbots are the most used around globally, from OpenAI's ChatGPT to Perplexity and DeepSeek.
It utilizes an underlying model from OpenAI—makers of ChatGPT—to assist users in creating documents, writing code, locating files, and more across Windows, Microsoft 365, Bing search and WhatsApp on desktop and mobile devices. Copilot Voice and Vision offer accessibility features for users who prefer not to use mouse/keyboard navigation.
According to a recent Goldman Sachs study, about two-thirds of current occupations over the next decade could be impacted by generative AI, potentially affecting up to 300 million jobs. While individuals may fear that companies will use generative AI to do their jobs, economists instead see enormous potential to boost productivity. The study predicts that productivity has the potential to nearly double its rate from 2010–2018 thanks to the incorporation of generative AI. Read this article to learn more about global productivity trends over the years and the varied ways in which AI may affect both productivity and the workforce at large.
Rodney Brooks wrote several decades ago about the boom and bust cycles of artificial intelligence. Starting from the 1950s excitement over ENIAC's multiplication through the second launch of then-novel neural networks, Brooks suggests AI progresses incrementally despite the hype.
In large language models, temperature adjusts the randomness in text generation by modifying how often words with lower probabilities are selected next in the sequence. Lower temperatures produce more obvious outputs while higher temperatures produce more creative responses.
Researchers describe superintelligence as an artificial intelligence system that exceeds human cognitive ability in every area. It is viewed as the theoretical evolution of artificial general intelligence, in which AI systems learn and have the capability of a typical human.
Since our ancient human relatives began using stone tools to perform tasks, humans have harnessed scientific knowledge and new technologies to expand the boundaries of our understanding of the natural world. From quantum computing and microplastics to artificial intelligence and memory, explore these topics and more with our concise yet informative overviews and expert-curated resources.