In this episode, the DAS crew talked about the rise of multimodal AI capabilities beyond just text.
Key points covered:

Multimodal AI can process images, video, audio and more - not just text input. This provides more natural and intuitive interactions.
ChatGPT has recently added vision and voice capabilities, though access is still limited. Hosts shared hands-on experiences using vision for image analysis.
Voice interactions are not yet seamless. Hosts found the experience clunky compared to expectations.
Competitors like Anthropic and Google are also pursuing multimodal AI. Products like Claude and LaMDA are designed for it.
Numerous business use cases exist, from analyzing graphs and dashboards to providing feedback on presentations. Video analysis is a future opportunity.
Real transformation will happen when multimodal is deeply integrated into everyday apps and devices. This extends AI's capabilities greatly.
Users must rethink how they interact with AI systems. Playing and experimenting is key to developing new ideas.

Overall the episode conveyed excitement about multimodal AI enabling more natural and advanced interactions.

But seamless experiences likely require rebuilding systems around multimodal from the start.

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