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The e-commerce firm Pattern going public. It's happening today right here on the NASDAQ. The company helps brands uh uh resell goods on marketplaces like Amazon and Walmart. Joining us right now is David Wright, Pattern CEO. Good morning to you. Congratulations with Big Day. >> Go back a dozen years and tell us what was the initial idea for this company and what is it now on a relative basis to what you originally thought? >> Oh yeah, it's I mean significantly different. You know, the the way it started is ...

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Core Insights - The article discusses the significant changes in the open-source AI model ecosystem, highlighting a shift towards a more competitive and rapidly evolving landscape, particularly in the AI Agent and Model Serving sectors [4][9][61]. Group 1: Ecosystem Changes - The latest version of the open-source landscape includes 114 projects, a decrease of 21 from the previous version, with 39 new projects and 60 projects that have disappeared, indicating a significant reshuffling in the ecosystem [7][10]. - The average lifespan of projects in the AI model ecosystem is only 30 months, with 62% of projects emerging after the "GPT moment" in October 2022, showcasing a high turnover rate [10][11]. - TensorFlow has been overtaken by PyTorch, which now dominates the landscape, marking a dramatic shift in the competitive dynamics [8]. Group 2: Key Trends - The article identifies three main areas of focus: AI Coding, Model Serving, and LLMOps, which are emerging as the primary tracks in the evolving landscape [29][61]. - AI Coding has transitioned from merely assisting in code writing to becoming a comprehensive lifecycle engine, indicating a significant increase in its capabilities and market potential [43][44]. - The AI Data sector remains relatively stable but is expected to evolve as new challenges arise in the native large model era, suggesting a potential for future growth [82][88]. Group 3: Global Contributions - The United States and China contribute over 55% of the total developer population in the open-source AI space, with the U.S. leading at 37.41% [17][20]. - In specific areas, the U.S. has a dominant position in AI Infrastructure and AI Data, with contributions significantly higher than those from China [19][23]. Group 4: Licensing Trends - There is a noticeable trend towards more restrictive open-source licenses, with many new projects adopting custom agreements that allow for greater control by the license holders [90][92]. - This shift raises questions about the definition of "open source" in the current competitive environment, as some projects that are popular on platforms like GitHub are not fully open-source [94].

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Question-and-Answer SessionJust maybe starting off high level, can you update us on the separation journey? Has there been any surprises or unexpected challenges or anything that's just kind of maybe noteworthy that's come up in this process?Vimal KapurChairman & CEO So first of all, thanks, Chris, for having me here, and welcome, everybody, and good morning. I would say the spin perspective, they're progressing on schedule. We'll have our Solstice business spun off in Q4 this year. The Investor Day is on O ...

We need investment. We need more research and we need to update methodologies. Um the agencies have been starved of resources for a long time.I think a healthy discussion within the administration is a is a great thing. I' I'd love to see it and I think it should involve people outside the system as well. users um you know people who are um really relying on the numbers to um make decisions need need to provide input into that as well as methodologists.I'm not telling the bureau what to do but they collect ...