Subvolts take Understand the hurdles and progress in making computers truly converse with us. Mar 19, 2020 - Developers
- Learn about the current research frontiers in natural language understanding and speech interaction for AI systems.
- Business
- Understand the potential for more intuitive AI interfaces and how they might change user engagement.
This is a solid interview with a university researcher on a key AI topic.
Percy Liang: Stanford University Professor, technologist, and researcher in AI
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
This episode of Behind The Tech features Stanford Professor Percy Liang discussing the challenges and advancements in conversational AI. They explore efforts to enable more natural human computer interaction through speech. The conversation delves into the leading edge of making computers understand and respond to human language effectively.
This episode talks about how computers can understand and talk back to us like people do. It covers the hard parts of making this happen and what scientists are doing to make computers better at chatting.
This episode offers insights into the core challenges of making AI understand and use human language, a critical area for all frontier AI labs. Listeners will learn about the current state of conversational AI and its future potential. It is for anyone interested in how AI is evolving beyond text-based interactions. This research directly impacts the development of more intuitive and accessible AI assistants and tools across Microsoft, Google, OpenAI, and Anthropic.
- HostKevin Scott
- GuestPercy LiangProfessor, Stanford University
- Guest: Percy Liang
- Guest Affiliation: Stanford University
- Show: Behind The Tech with Kevin Scott
- Length: 65 minutes
- Topic: Challenges of conversational AI
We talk with Stanford University Professor Percy Liang. They discuss the challenges of conversational AI and the latest leading-edge efforts to enable people to speak naturally with computers.
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- conversational AI
- Percy Liang
- computers that can talk and understand human language
1 h 0634 minYear in Review 2024
WithXyla Foxlin, Lisa Su, Ben Laude, Ethan Mollick
Questions people ask
- What is the main topic of the podcast episode?
- The episode discusses the challenges and leading-edge efforts in conversational AI, focusing on enabling natural speech interaction between humans and computers.
- Who is featured in this episode?
- The episode features Stanford University Professor Percy Liang.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Microsoft.