ai search

Amr and I met on a genAI panel and everything he said was both insightful and contrarian. Immediately, I knew I wanted to introduce him to you. Amr is a legend in the search space who, by the way, also founded Cloudera which went public in 2017 at a valuation of over $5B.

Dr. Amr Awadallah is a luminary in the world of information retrieval. He's the CEO and cofounder of Vectara, a company that is revolutionizing how we find meaning across all languages of the world using the latest advances in Deep Neural Networks, Large Language Models, and Natural Language Processing. He previously served as VP of Developer Relations for Google Cloud. Prior to joining Google in Nov 2019, Amr co-founded Cloudera in 2008 and as Global CTO. He also served as vice president of product intelligence engineering at Yahoo! from 2000-2008. Amr received his PhD in EE from Stanford University, and his Bachelor and Masters Degrees from Cairo University, Egypt.

Listen and learn...

1. How Amr discovered the power of "talking to software" via LLMs while at Google
2. About the history of new computing modalities
3. About the current state of generative AI
4. The technical explanation for hallucination in LLMs
5. How do we mitigate bias in LLM models and prevent copyright infringement
6. Why a semantic understanding of queries is the next frontier in search
7. The challenge faced by search providers of making money incorporating ads into LLM-based answers
8. How "grounded search" will fix the hallucination problem
9. What is a "fact" in the era of ChatGPT?
10. How long before we have "antivirus sofware for fact-checking" genAI propaganda
11. How should AI be regulated... and who is responsible for AI regulation
12. The next big idea in genAI Amr and I are ready to fund
13. Amr's advice to entrepreneurs... and to himself

References in this episode...

1. Eric Olson, Consensus CEO, on AI and the Future of Work
2. D Das, Sorcero CEO, on AI and the Future of Work
3. Seth Earley, Earley Information Science, on AI and the Future of Work
4. ChatGPT for searching scientific papers

• Google's Pixel hardware event and new devices
• Debate over adding AI to search functions - risks to accuracy?
• Laws challenging social media's First Amendment rights
• Movies released on TikTok by studios
• High production costs of Masterclass
• Streaming vs DVDs and the shrinking open web
• Spotify's attempts to expand beyond music in audiobooks
• Amazon's algorithms manipulating prices
• Supreme Court case involving copyright of legal search tools
• Paywalls and closed platforms replacing the open web
• Pushback against heroic tech biographies and access journalism
• Impacts of inexpensive screens and cameras everywhere
• Testing social media subscription models
• Using AI to create realistic fake photos and videos

Hosts: Leo Laporte, Jeff Jarvis, and Ant Pruitt

Guest: Paris Martineau

Download or subscribe to this show at https://twit.tv/shows/this-week-in-google.

Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit

Sponsors:

• kolide.com/twig
• fastmail.com/twit
• Miro.com/podcast

• Google's Pixel hardware event and new devices
• Debate over adding AI to search functions - risks to accuracy?
• Laws challenging social media's First Amendment rights
• Movies released on TikTok by studios
• High production costs of Masterclass
• Streaming vs DVDs and the shrinking open web
• Spotify's attempts to expand beyond music in audiobooks
• Amazon's algorithms manipulating prices
• Supreme Court case involving copyright of legal search tools
• Paywalls and closed platforms replacing the open web
• Pushback against heroic tech biographies and access journalism
• Impacts of inexpensive screens and cameras everywhere
• Testing social media subscription models
• Using AI to create realistic fake photos and videos

Hosts: Leo Laporte, Jeff Jarvis, and Ant Pruitt

Guest: Paris Martineau

Download or subscribe to this show at https://twit.tv/shows/this-week-in-google.

Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit

Sponsors:

• kolide.com/twig
• fastmail.com/twit
• Miro.com/podcast

The Big Themes:

• The Yext promise: Josh describes the platform as a place for "ingesting data, structuring it, and then delivering it as in the form of answers everywhere that it's needed."
• Keeping public data in sync: Yext customers want to help their consumers easily find information like hours of operation, product availability, and more, wherever they're searching. Yext helps structure that data, then automatically syncs it across various websites.
• Working across multiple clouds: Part of the reason that Yext and Redis work so well together is that both can operate in multiple clouds. Redis serves as a back-end system for Yext anywhere it has a point of presence.

The Big Quote: "As a SaaS platform, we're continually evolving. If a new place appears where consumers are looking for data, we will build an integration with them. If a new use case comes up, we will be able to satisfy it. And we're always adding new features."

 

This episode is sponsored by Redis.