Episode 265 - Gemini's New Personal Inte...

Allen and Mike discuss Google's new "Personal Intelligence" feature for Gemini. They explore how it connects to your personal data like Photos, Gmail, and Docs to provide context-aware answers. The conversation covers real-world use cases, privacy concerns regarding training data, and the importance of transparency and granular control in AI systems. They also touch on the "blackmail" scenario found in other AI research and what developers can learn from Google's implementation.

More Info:

* https://blog.google/innovation-and-ai/products/gemini-app/personal-intelligence/

[00:00:30] Google's Gemini Personal Intelligence announcement

[00:01:48] Connecting personal data sources to Gemini

[00:03:45] Google's unique advantage with user data

[00:06:40] Real-world use case: Tracking travel history

[00:07:30] Potential use case: Combining health data sources

[00:09:15] Privacy: Is your data used for training?

[00:12:40] The debate: Opting in vs. privacy concerns

[00:16:30] AI safety and the "blackmail" scenario

[00:18:50] Lessons for developers: Granular permissions and transparency

[00:20:30] Verifiability and user trust

[00:23:50] Conclusion

#Gemini #GoogleAI #PersonalIntelligence #Privacy #MachineLearning #Developer #TechPodcast #AI #TwoVoiceDevs