As the generative AI boom continues, startups building business models around the tech are beginning to delineate along two clear lines.
Some, convinced that a proprietary and closed source approach will give them an advantage over the swarms of competitors, are choosing to keep their AI models and infrastructure in-house, shielded from public view. Others are open sourcing their models, methods and datasets, embracing a more community-led path to growth.
Is there a right choice? Perhaps not. But every investor seems to have an opinion.
Dave Munichiello, a general partner at GV, an investment arm of Alphabet, makes the case …
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