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GenAI may have captured the spotlight. But according to Dr. Jake Trippel, co-founder and CTO of Codename 37, the real disruption is still ahead. Jake joins the podcast to explain why today’s LLM-centric stacks will hit architectural limits and how “AI fabrics” and shared memory meshes can unlock agent-to-agent collaboration across data silos.
From untangling decades of technical debt to the surprising move of model training back on-prem, Jake lays out pragmatic playbooks. He also shares how he runs “100 AI employees” today, what SaaS might look like in a bot-first world, and why education must embrace hyper-personalized learning while guarding against AI-enabled shortcuts.
Stay in touch with Jake:
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Like and subscribe to The AI Forecast to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast YouTube page.
By ClouderaGenAI may have captured the spotlight. But according to Dr. Jake Trippel, co-founder and CTO of Codename 37, the real disruption is still ahead. Jake joins the podcast to explain why today’s LLM-centric stacks will hit architectural limits and how “AI fabrics” and shared memory meshes can unlock agent-to-agent collaboration across data silos.
From untangling decades of technical debt to the surprising move of model training back on-prem, Jake lays out pragmatic playbooks. He also shares how he runs “100 AI employees” today, what SaaS might look like in a bot-first world, and why education must embrace hyper-personalized learning while guarding against AI-enabled shortcuts.
Stay in touch with Jake:
+++
Like and subscribe to The AI Forecast to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast YouTube page.