Mixture of Experts
Episode 43: Deep Research, OpenAI inference chip, small VLMs, and AI agent job posting
Feb 21, 2025
In this discussion, Kate Soule, an AI and vision language models expert from Granite, Volkmar Uhlig, who leads AI infrastructure at a major firm, and Shobhit Varshney, a senior consultant on AI in the Americas, dive into the burgeoning world of deep research in AI. They explore exciting innovations from OpenAI and Google, the prospects of an OpenAI inference chip, and the rise of smaller vision-language models. The conversation wraps up with an intriguing look at a startup's quest for AI agents, pondering their role in the job market of the future.
45:51
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Quick takeaways
- The emergence of deep research features in AI tools is revolutionizing information synthesis and enhancing user inquiry capabilities, akin to human researchers.
- The potential integration of quantum computing with AI could significantly advance problem-solving approaches and operational efficiencies across diverse industries.
Deep dives
The Rise of Deep Research Features
Recent advancements in AI have led to an emergence of deep research features across various platforms, allowing users to conduct complex inquiries much like a human researcher would. This innovation follows the successful launch of DeepSeek's R1 model, which showcased exceptional reasoning capabilities, prompting competitors like Google and OpenAI to develop similar features. These tools aim to streamline the research process by automatically gathering and organizing information from multiple sources, facilitating a more nuanced understanding of complex topics. The ability for these models to create research plans and refine queries based on user needs is transforming how information is synthesized and presented.
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