""I learned a lot about behavior, both on the side of the buyers, how people are thinking about these purchases, and the gap between what most organizations think is possible and what they can actually deploy today," she said."
""just build everything and put every company out of business? You know, they are doing a lot already: they're in consumer, they're in enterprise, they're building a device. I don't think they are going to go after every potential enterprise application,""
""Context is dynamic. It's adaptable. It's scalable. And I think what we're seeing is going beyond sort of the basic RAG towards this idea of a context graph, which is persistent,""
Aliisa Rosenthal left OpenAI after three years and joined Acrew Capital as a general partner alongside Lauren Kolodny. Rosenthal grew OpenAI's enterprise sales team from two people to hundreds during launches like DALL·E, ChatGPT, ChatGPT Enterprise, and Sora. Rosenthal met many AI startups and chose venture capital to support multiple companies' go-to-market strategies. Rosenthal identifies specialization and persistent context as key enterprise AI moats that can withstand competition from large model makers. Rosenthal characterizes context as dynamic, adaptable, scalable, and evolving beyond basic retrieval-augmented generation toward persistent context graphs.
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