In this episode of the a16z podcast series, a VC speaks with Ali Ghodsi about the adoption of generative AI in enterprises. Ghodsi explains that enterprises are slow to adopt due to concerns about data privacy, security, and accuracy, as well as internal conflicts over ownership of AI initiatives. They explore whether enterprises should build their own models or use larger, existing models, discussing the trade-offs between cost, accuracy, and control. Ghodsi also touches on the open-source nature of AI, its ethical implications, and the potential risks of advanced AGI, while drawing parallels to the internet boom and the role of companies like Cisco.
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