Would you trust a humanoid robot to unload your dishwasher? This week on Mixture of Experts, we revisit 1X NEO, a new humanoid robot, as it finally enters the home, seeking to automate tasks. How far are we from this reality? Next, Japan’s copyright dispute with Sora 2, we discuss how AI training, synthetic data and IP are all impacting AI models. Finally, are there too many AI alliances? Our experts analyze the OpenAI and AWS partnership and what it means for AI infrastructure and multi-cloud strategies. Join host Tim Hwang and panelists Ambhi Ganesan, Ash Minhas and Sandi Besen on this week’s Mixture of Experts.
- 00:00 – Intro
- 01:10 – Perplexity integrates with Snapchat, Coinbase AI agents, Instacart AI assistants and Google AI chips go to space
- 02:16 – 1X NEO humanoid robot
- 15:23 – Sora 2 copyright
- 26:49 – OpenAI and AWS partnership
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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- Perplexity
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- Instacart
- Chips in space
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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.