Is open source winning the AI race? In episode 58 of Mixture of Experts, host Tim Hwang is joined by Anthony Annunziata, Ash Minhas and Sarah Amos live from New York Tech Week. First, we dive into the various themes coming out of NY Tech Week, specifically practical uses of AI. Next, we analyze a couple of different reports about the impact of open source on AI. Finally, Claude 4 has some really weird behaviors. What does this teach us about AI safety and model development? All that and more on this week’s Mixture of Experts.
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
An artificial intelligence (AI) agent refers to a system or program that is capable of autonomously performing tasks on behalf of a user or another system by designing its workflow and utilizing available tools.
Applications and devices equipped with AI can see and identify objects. They can understand and respond to human language. They can learn from new information and experience. But what is AI?
AI assistants are built by a foundation model (for example, IBM Granite, Meta’s Llama models or OpenAI’s models). Large language models (LLMs) are a subset of foundation models that specialize in text-related tasks.