Artificial Intelligence, the History and Future – with Chris Bishop

The last five years have witnessed a dramatic resurgence of excitement in the goal of creating intelligent machines. Technology companies are now investing billions of dollars in this field, new research laboratories are springing up around the globe, and competition for talent has become intense. In this Discourse Chris Bishop describes some of the recent…

Nature of Intelligence, Episode 3: What kind of intelligence is an LLM?

Large language models, like ChatGPT and Claude, have remarkably coherent communication skills. Yet, what this says about their “intelligence” isn’t clear. Is it possible that they could arrive at the same level of intelligence as humans without taking the same evolutionary or learning path to get there? Or, if they’re not on a path to…

The Debate Over “Understanding” in AI’s Large Language Models

Abstract: I will survey a current, heated debate in the AI research community on whether large pre-trained language models can be said to “understand” language—and the physical and social situations language encodes—in any important sense. I will describe arguments that have been made for and against such understanding, and, more generally, will discuss what methods…

Melanie Mitchell – Abstraction and Analogy: The Keys to Robust Artificial Intelligence

Professor Melanie Mitchell gives the Margaret Boden Lecture for 2023 at the University of Cambridge. The Margaret Boden lectures are held annually by the Leverhulme Centre for the Future of Intelligence at Cambridge. Abstract: While AI has made dramatic progress over the last decade in areas such as vision, language processing, and robotics, current AI…

Jeff Dean (Google): Exciting Trends in Machine Learning

Abstract: In this talk I’ll highlight several exciting trends in the field of AI and machine learning. Through a combination of improved algorithms and major efficiency improvements in ML-specialized hardware, we are now able to build much more capable, general purpose machine learning systems than ever before. As one example of this, I’ll give an…