French AI chatbot Lucie pulled offline after bizarre mistakes, including claiming cows lay eggs. Developers admit the model was released too soon.
DeepSeek has gone viral. Chinese AI lab DeepSeek broke into the mainstream consciousness this week after its chatbot app rose to the top of the Apple
Chinese tech startup DeepSeek’s new artificial intelligence chatbot has sparked discussions about the competition between China and the U.S. in AI development, with many users flocking to test the rival of OpenAI's ChatGPT.
An AI chatbot backed by the French government has been taken offline shortly after it launched, after providing nonsensical answers to simple mathematical equations and even recommending that one user eat cow’s eggs.
Chinese artificial intelligence startup DeepSeek stunned markets and AI experts with its claim that it built its immensely popular chatbot at a fraction of the cost of those made by American tech tita
As artificial intelligence technologies develop at accelerated rates, the methods of governing companies and platforms continue to raise ethical and legal concerns.
He wrote, "Just found out from the ChatGPT analysis of my MRI report that I should stop doing deep squats. Very interesting because I was slowly training to do exactly that." A curious user in the comments asked,
A medical AI chatbot is not exactly news, but the way Microsoft intends to develop one certainly is. Hint: it could replace nurses.
Some mistakes are inevitable. But there are ways to ask a chatbot questions that make it more likely that it won’t make stuff up.
The DeepSeek chatbot, known as R1, responds to user queries just like its U.S.-based counterparts. Early testing released by DeepSeek suggests that its quality rivals that of other AI products, while the company says it costs less and uses far fewer specialized chips than do its competitors.
AI-driven tools harness ML algorithms to provide insights into anxiety disorders. Supervised ML models, such as logistic regression and support vector machines (SVM), are instrumental in diagnosing and classifying mental health conditions.