AICompany knowledge and control in closed vs. open-weight AI
A post sharing Palantir CEO Alex Karp’s CNBC remarks describes his case for open-weight models: keeping proprietary knowledge, customization and control inside a company’s own environment.
TLDR
According to a post sharing his September 18 CNBC remarks, Palantir CEO Alex Karp alleged that closed-model token discounts are intended to give providers access to companies’ intellectual property to improve their models, rather than grow the market. He also alleged a lack of honest discussion or disclosure about this. The post contrasts that with his argument that open-weight models let companies keep their knowledge, customization and control within their own environments.
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Company knowledge and control in closed vs. open-weight AI
A post sharing Palantir CEO Alex Karp’s CNBC remarks describes his case for open-weight models: keeping proprietary knowledge, customization and control inside a company’s own environment.
TLDR
According to a post sharing his September 18 CNBC remarks, Palantir CEO Alex Karp alleged that closed-model token discounts are intended to give providers access to companies’ intellectual property to improve their models, rather than grow the market. He also alleged a lack of honest discussion or disclosure about this. The post contrasts that with his argument that open-weight models let companies keep their knowledge, customization and control within their own environments.