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Why the AI Compute Stack Must Be Owned by No One (with Linda Haviv), Sonic AI
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Super Data Science: ML & AI Podcast with Jon Krohn
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Why the AI Compute Stack Must Be Owned by No One (with Linda Haviv)
Super Data Science: ML & AI Podcast with Jon Krohn
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May 4, 2026
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4:15
Interview
Why the AI Compute Stack Must Be Owned by No One (with Linda Haviv)
Linda Haviv
(guest)
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Executive Summary
Open-source AI models like Gemma 4 are rapidly closing the performance gap with proprietary alternatives, increasing accessibility and fostering innovation.
Key AI infrastructure projects, including the Model Context Protocol (MCP) and Ray, are moving to vendor-neutral governance under the Linux Foundation, promoting standardization and community-driven development.
A common AI compute stack is emerging, combining vLLM, Ray, and Kubernetes, which simplifies the development and scaling of AI applications.
The trend towards local and on-device AI is accelerating, with platforms like Ollama enabling users to run powerful models on laptops and phones, even without an internet connection.
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Processed May 4, 2026
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yt-dlp + mlx-whisper + Gemini