The challenge of natural language processing

Do chatbots have feelings? Anthropic, Google, and Meta are hiring computer scientists, neuroscientists, and philosophers to find out. Nitasha Tiku (The Washington Post) explains why the search for AI consciousness has gone from fringe theory to Silicon Valley mainstream, and why ...  Show more

Do you work with machines, or for machines? Cory Doctorow, who coined the term “enshittification,” has a new book that asks exactly that. In The Reverse Centaur's Guide to Life After AI: How to Think About Artificial Intelligence Before It's Too Late, he challenges the belief tha ...  Show more

This episode reboots our podcast with the theme of Natural Language Processing for the next few months. We begin with introductions of Yoshi and Linh Da and then get into a broad discussion about natural language processing: what it is, what some of the classic problems are, and ...  Show more

AIs built on Large Language Models have wowed by producing particularly fluent text. However, their ability to do this is limited in many languages. As the data and resources used to train a model in a specific language drops, so does the performance of the model, meaning that fo ...  Show more

What does it mean to solve a problem in our universe? That's a trickier question than you might think, with some fairly high-stakes ramifications in the worlds of computing and even philosophy. In this episode of Stuff to Blow Your Mind, Robert and Joe explore the inherent log ...

In this episode, I'll be discussing the capabilities and limitations of ChatGPT, an advanced language AI model. I'll go over its power to understand and respond to natural language, and its applications in tasks such as language translation and text summarization. However, I ...