Local AI advocate Ahmad Osman says open models are closing gap with frontier AI

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Ahmad Osman, founder of open source AI firm Osmantic, has long championed running AI models on local hardware rather than relying on cloud-based services. At the AI Engineer World's Fair (AIEWF), he led two oversubscribed workshops demonstrating local large language models on devices ranging from laptops to GPU workstations, drawing attendees from students to enterprise executives. Osman argues that open source LLMs are increasingly viable alternatives to proprietary frontier models, with the performance gap now estimated at just four to eight months. He cautions, however, that a common misconception persists: running a model locally is not equivalent to using a fully integrated product like ChatGPT, which ships with surrounding infrastructure and tooling. Osman believes local AI is approaching a tipping point where developers and enterprises will begin treating it as serious, controllable infrastructure rather than a hobbyist pursuit.

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