Are we hitting peak Gemini and are open models like Kimi K2 about to challenge GPT 5 and Claude for real developer use?In this episode, Tracy Lee, A D Slaton, and Brandon Mathis talk honestly about which models they actually lean on for daily engineering work, where Gemini falls short with tool calling, and why Claude and GPT 5 still feel more trustworthy. They dig into Kimi K2 from Moonshot Labs, how it stacks up on benchmarks and cost, and what it means for teams that care about both performance and their token bill.

They also zoom out to the bigger picture around compute, energy, and why human experience and real world knowledge are becoming the most valuable input to any model.

Tracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/

A.D. Slaton on Linkedin: https://www.linkedin.com/in/adslaton/

Brandon Mathis on Linkedin: https://www.linkedin.com/in/mathisbrandon/

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