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At VB Transform 2024, IBM‘s David Cox made a compelling case for open innovation in enterprise generative AI, building on the company’s long-standing commitment to open-source technologies. The VP of AI models and director at the MIT-IBM Watson AI Lab presented a vision that both challenges and inspires the tech industry.
“Open innovation is really the story of human progress,” Cox said, framing the concept as fundamental to technological advancement. Cox emphasized the critical nature of the current moment in AI development, stating, “I think this moment is especially crucial because we all have to make decisions about where we want to invest. How do we want to avoid lock in?”
All kinds of open
The IBM executive highlighted a nuanced view of openness in AI, challenging the notion that it’s a simple binary concept. “Open isn’t just one thing. It can mean lots of things, actually,” Cox explained. He pointed out the growing ecosystem of open models from various sources, including tech giants, universities and even nation-states.
However, Cox raised concerns about the quality of openness in many LLMs. “In some cases, you’re getting something that’s more like a binary,” he cautioned. “You’re getting a sort of bag of numbers, and you don’t know how it’s produced.” This lack of transparency, Cox argued, can make it difficult or impossible to reproduce these models, undermining a key tenet of open-source principles.
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In-person passes for VB Transform 2024 are now sold out! Don’t miss outâregister …
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We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future. Learn More
At VB Transform 2024, IBM‘s David Cox made a compelling case for open innovation in enterprise generative AI, building on the company’s long-standing commitment to open-source technologies. The VP of AI models and director at the MIT-IBM Watson AI Lab presented a vision that both challenges and inspires the tech industry.
“Open innovation is really the story of human progress,” Cox said, framing the concept as fundamental to technological advancement. Cox emphasized the critical nature of the current moment in AI development, stating, “I think this moment is especially crucial because we all have to make decisions about where we want to invest. How do we want to avoid lock in?”
All kinds of open
The IBM executive highlighted a nuanced view of openness in AI, challenging the notion that it’s a simple binary concept. “Open isn’t just one thing. It can mean lots of things, actually,” Cox explained. He pointed out the growing ecosystem of open models from various sources, including tech giants, universities and even nation-states.
However, Cox raised concerns about the quality of openness in many LLMs. “In some cases, you’re getting something that’s more like a binary,” he cautioned. “You’re getting a sort of bag of numbers, and you don’t know how it’s produced.” This lack of transparency, Cox argued, can make it difficult or impossible to reproduce these models, undermining a key tenet of open-source principles.
Register to access VB Transform On-Demand
In-person passes for VB Transform 2024 are now sold out! Don’t miss outâregister …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]