The Cloudcast

Evaluating AI Models in 2026

• Massive Studios

Share episode

Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.

0:00 | 28:59

Aaron and Brian review some of the latest AI model releases and discuss how they would evaluate them through the lens of an Enterprise AI Architect. 

SHOW: 1003

SHOW TRANSCRIPT: The Cloudcast #1003 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET 

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" 

SHOW NOTES:

TAKEAWAYS

  • The frequency of AI model releases can lead to numbness among users.
  • Evaluating AI models requires understanding their specific use cases and benchmarks.
  • Enterprises must consider the compatibility and integration of new models with existing systems.
  • Benchmarks are becoming more accessible but still require careful interpretation.
  • The rapid pace of AI development creates challenges for enterprise adoption and integration.
  • Companies need to be proactive in managing the versioning of AI models.
  • The industry may need to establish clearer standards for evaluating AI performance.
  • Efficiency and cost-effectiveness are becoming critical metrics for AI adoption.
  • The timing of model releases can impact their market reception and user adoption.
  • Businesses must adapt to the fast-paced changes in AI technology to remain competitive.

FEEDBACK?

Head Shot

Brian Gracely

Host
Head Shot

Aaron Delp

Co-host