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Edge Computing

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TThe Beyond Tomorrow Podcast · MIT Professor

market insight

AI models are getting small enough to run locally and act autonomously online

An MIT professor explains how the democratization of AI compute power is enabling individuals to run and train AI models locally on personal devices. He discusses the implications of people being able to deploy autonomous AI agents on the internet from their own laptops and computers.

1:51 - 2:1827s
edge-computinglocal-ai-modelsautonomous-agents

EEUVC

market insight

Why founders are ditching ChatGPT for local AI models

The discussion explores how AI models are becoming small enough to run locally on devices like iPhones, potentially shifting compute from centralized data centers to edge devices. The speakers note that developers are increasingly running models locally not just for performance, but because they keep hitting token limits on services like Claude and OpenAI.

15:47 - 16:2639s
edge-computinglocal-ai-modelsai-infrastructure

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