Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Hannah Clark - The Product Manager. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hannah Clark - The Product Manager or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Are We Overpromising and Under-delivering on AI?

41:05
 
Share
 

Manage episode 520069177 series 2936621
Content provided by Hannah Clark - The Product Manager. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hannah Clark - The Product Manager or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

AI can solve Olympic-level math problems... and still fumble basic arithmetic. So what gives? According to Dhruv Batra, the answer lies in the “jaggedness” of intelligence—how AI can excel in some areas while completely breaking down in others. Dhruv, co-founder and Chief Scientist at Yutori, joins Hannah Clark to unpack the cognitive dissonance users feel when a model dazzles one moment and disappoints the next.

They explore how user expectations—shaped by decades of intuitive UI patterns and human conversations—often collide with the underlying limits of AI systems. From browser agents and automation to long-term feedback loops and trust-building, this conversation is a candid look at what today’s AI can actually do (and where it’s still bluffing). If you’re building with AI or trying to scope what’s possible, this one will recalibrate your expectations—in a good way.

Resources from this episode:

  continue reading

Chapters

1. Jagged Nature Of Intelligence (00:00:00)

2. Guest Introduction And Background (00:01:38)

3. Expectations Versus AI Reality (00:03:20)

4. Why Everyday Tasks Are Hard (00:06:30)

5. Human UX Patterns Machines Miss (00:10:45)

6. Shifting Consumer Behaviors (00:14:09)

7. Scoping AI Without Overpromising (00:17:41)

8. Building Trust Step By Step (00:21:06)

9. What’s Solved And What Isn’t (00:24:02)

10. Long-Running Agents And Drift (00:28:08)

11. Feedback Loops And Personalization (00:31:12)

12. Why Now For Digital Assistants (00:35:05)

13. Closing Thoughts And Next Episode (00:39:10)

108 episodes

Artwork
iconShare
 
Manage episode 520069177 series 2936621
Content provided by Hannah Clark - The Product Manager. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hannah Clark - The Product Manager or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

AI can solve Olympic-level math problems... and still fumble basic arithmetic. So what gives? According to Dhruv Batra, the answer lies in the “jaggedness” of intelligence—how AI can excel in some areas while completely breaking down in others. Dhruv, co-founder and Chief Scientist at Yutori, joins Hannah Clark to unpack the cognitive dissonance users feel when a model dazzles one moment and disappoints the next.

They explore how user expectations—shaped by decades of intuitive UI patterns and human conversations—often collide with the underlying limits of AI systems. From browser agents and automation to long-term feedback loops and trust-building, this conversation is a candid look at what today’s AI can actually do (and where it’s still bluffing). If you’re building with AI or trying to scope what’s possible, this one will recalibrate your expectations—in a good way.

Resources from this episode:

  continue reading

Chapters

1. Jagged Nature Of Intelligence (00:00:00)

2. Guest Introduction And Background (00:01:38)

3. Expectations Versus AI Reality (00:03:20)

4. Why Everyday Tasks Are Hard (00:06:30)

5. Human UX Patterns Machines Miss (00:10:45)

6. Shifting Consumer Behaviors (00:14:09)

7. Scoping AI Without Overpromising (00:17:41)

8. Building Trust Step By Step (00:21:06)

9. What’s Solved And What Isn’t (00:24:02)

10. Long-Running Agents And Drift (00:28:08)

11. Feedback Loops And Personalization (00:31:12)

12. Why Now For Digital Assistants (00:35:05)

13. Closing Thoughts And Next Episode (00:39:10)

108 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play