In this episode of the AI TriPod podcast, the hosts discuss the latest advancements in AI, focusing on the Llama 4 model set, Amazon Nova Sonic, and the Google Cloud Next 2025 agent-to-agent protocol. They explore the features, benchmarks, and implications of these technologies, emphasizing the importance of open-source models and the evolving landscape of AI interactions.
Hosts of the Show
Karthick Arun - Show Host - Highschooler in 10th grade
Loveneet Pal Singh - Show Host - CS Undergrad at ASU
Arun Arunachalam - Show Host - Industry expert with 25 years of experience
Chapters
00:00 Intro
00:42 Introduction to Llama 4 and AI Models
02:45 Benchmarking Llama 4: Performance and Comparisons
05:55 Open Source vs. Proprietary Models
08:45 Cost Efficiency and Value of Llama 4
11:24 Context Window and Its Impact on Performance
14:01 Final Thoughts on Llama 4 and Future Implications
15:02 Benchmarking Model Performance
16:55 Exploring Amazon Nova Sonic
18:29 Voice Cloning and Future Possibilities
20:29 Customer Service Revolution
27:37 Agent to Agent Communication Protocol
32:26 Security Concerns in AI Communication
33:47 Outro
Sources
- https://www.youtube.com/watch?v=r8d62HsnQA0
- https://artificialanalysis.ai/models/llama-4-scout
- https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/
- https://github.com/google/A2A
- https://www.llama.com/models/llama-4/
- https://aws.amazon.com/blogs/aws/introducing-amazon-nova-sonic-human-like-voice-conversations-for-generative-ai-applications/
- https://www.theverge.com/news/646968/openai-chatgpt-long-term-memory-upgrade
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