Does Gemini 3 live up to the hype? This week on Mixture of Experts, we analyze the release of Google’s Gemini 3 model. Next, OpenAI released a new benchmark about the impact of AI on the economy, GDPval. We debate AI automation and the job market. Then, we always talk AI agents, today we discuss some great innovations coming out of IBM Research and more. Finally, Anthropic disrupted an AI-led cyberattack, what does this mean for AI agents and malicious actions? Join host Tim Hwang and our AI experts Marina Danilevsky, Merve Unuvar and Gabe Goodhart on this week’s Mixture of Experts to learn more.
The opinions expressed in this podcast are solely the views of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
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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. It achieves this goal by designing its workflow and employing 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?
Developers build AI assistants on top of foundation models—for example, IBM Granite, Meta’s Llama models, or OpenAI’s models. Large language models (LLMs), which specialize in text-related tasks, represent a subset of foundation models.