As artificial intelligence (AI) continues to grow and evolve, so do the types of models available to developers and businesses looking to integrate AI into their products and services. Two popular AI models currently being used are ChatGPT and DAN (Do Anything Neural). In this blog post, we'll explore the similarities and differences between these two models to help you determine which one is better suited for your needs. ChatGPT, or Generative Pre-trained Transformer 3, is a language model developed by OpenAI. It is based on the transformer architecture, which is a type of neural network that is commonly used in natural language processing (NLP) tasks, such as language translation and text summarization.

I met Dan Selsam when we were toddlers. He liked solving math problems. We both liked the show "ThunderCats." I became a comedy writer. Dan became a computer scientist.

In recent years, many artificial intelligence (AI) and robotics researchers have been trying to develop systems that can provide explanations for their actions or predictions. The idea behind their work is that as AI systems become more widespread, explaining why they act in particular ways or why they made certain predictions could increase transparency and consequently users' trust in them. Researchers at Bretagne Atlantique Research Center in Rennes and the French National Center for Scientific Research in Toulouse have recently carried out a study that explores and questions this assumption, with the hope of better understanding how AI explainability may actually impact users' trust in AI. Their paper, published in Nature Machine Intelligence, argues that an AI system's explanations might not actually be as truthful or transparent as some users assume them to be. "This paper originates from our desire to explore an intuitive gap," Erwan Le Merrer and Gilles Trédan, two of the researchers who carried out the study, told TechXplore.

A report from Bloomberg earlier this week claimed that Apple's HomePod isn't doing so well, and that the company cut orders for new hardware from suppliers. This might not shock some of you: Apple missed the all-important holiday buying season and is competing with less expensive hardware from Google, Sonos and Amazon. But is the first smart speaker with Siri already a failure, or does the HomePod simply need time to find its place? I'm not in any way surprised that the HomePod has fizzled, simply because it's a weird product with a very weird proposition. I seriously considered buying it in the run-up to its launch, but ultimately couldn't find a strong enough reason to plunk down $350.