Practical AI The Myth of Model Wars: Open vs Closed AI in 2026
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May 7, 2026 They explore whether open vs closed models still matter as AI moves into edge devices and physical systems. Small models and new chips making embedded AI affordable get spotlighted. Discussion shifts to systems, workflows, and agentic architectures becoming the real sources of value. They examine risks of relying on third-party APIs and the need for governance and modular tooling.
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Physical AI Is Becoming Mainstream
- Physical AI is rapidly moving from novelty to commonplace across retail, manufacturing, vehicles, and wearables.
- Chris Benson highlights smaller models plus a microelectronics revolution enabling low-power, device-level AI that entrepreneurs can experiment with affordably.
Small Models Democratize AI Development
- Smaller, task-specific models are democratizing AI because they run on low-power hardware and lower-cost chips.
- Benson notes people can spend a few hundred dollars to download a model and build a novel product without massive cloud spend.
Meta Shifted From LLaMA To A Closed Model
- Meta historically championed open models like LLaMA, making weights publicly available for developers.
- Daniel Whitenack recounts Meta shifting toward a closed model family called MuseSpark, reducing open-source leadership.