In this episode of Designing the Robot Revolution, David and Jacob explore whether the increasing size of large language models (LLMs) is delivering meaningful improvements or reaching a point of diminishing returns. They discuss the balance between scale and utility, questioning how much of these massive models' potential is actually being used and what a plateau would mean for ideation.

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OpenAI, Google and Anthropic are struggling to build more advanced AI

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