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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United States Department of Commerce data is coming to Sei.The @chainlink data standard will deliver U.S. GDP and other U.S. government macroeconomic indicators to Sei - powering institutional-grade markets with secure, trusted data.Markets Move Faster on Sei. ($/acc) https://t.co/jDOQ2msKTG ...

Group 1 - The company is on track with its separation journey, with the Solstice business expected to be spun off in Q4 of this year and the Aero spin planned for the second half of next year [1][2] - The initial spin-off of the AM segment provided valuable experience, but the complexity of the Aero spin is significantly higher, necessitating a dedicated project team [2] - The CEO has identified a larger-than-expected opportunity set in automation, driven by the convergence of cloud, data, and AI technologies [2]

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 ...

Core Vision - Chainlink aims to be the platform integrating the world into the onchain economy [1] - Chainlink has evolved from a data solution to a platform of essential services [1] Technology & Analogy - Chainlink's role is comparable to TCP/IP for the Internet and the Java Runtime [1] Key Services - Chainlink provides data, interoperability, compliance, privacy, and orchestration services [1]

Prediction Market Resources - The prediction market industry highlights @whalewatchpoly for interesting plays and movers across the Polymarket space [1] - The prediction market industry utilizes @Polysights for data and insider whale tracking, providing insights into significant market movements [1] - The prediction market industry follows @polyfactual's live streams for discussions and diverse perspectives on predictions [1] Data & Insights - The prediction market industry emphasizes the value of high-level insights and data for informed decision-making [2] - The prediction market industry anticipates @polyfactual's upcoming technology, including arbitrage bots [1]

At 830 Eastern time. We meant to get a jobs number. This is what we heard from the blast just moments ago, that the Bureau of Labor Statistics says it's experiencing a technical problem and data retrieval tools are currently not available on the websites.Are we going to see a number in 10 minutes time. I'm never going to say never, but I tell you, it makes it crystal clear you should have fired the person who was running that group. Right.Because if you didn't fire them two weeks ago, you sure as heck would ...