Gooey.AI

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Deepseek shows that the global investment and competition in AI continues to drive down marginal inference costs dramatically. This is particularly important to those of us working in the AI for impact space (e.g. with workers that don’t make $200/ hour and have thinner margins to show productivity gains). For everyone trying to leverage AI to help technicians, community health workers, small farmers, teachers, etc (eg. gooey.ai/impact), it means that at the pilot stage that we should be using the latest, most expensive intelligence models - like GPT4o-audio- with the assumption that per user costs will fall by the time we iterate & discover which AI use-cases are actually valuable and ready for scale.

This video was made using only AI: #Grok 2 beta for image generation, @runwayml to convert the image into video, and finally @GooeyAI for background audio. It only cost a whopping 50 pennies for the video gen. Will do more as I get better.