novatechflow

Apache Wayang is a dataflow and distributed computing framework designed for cross-platform data processing, enabling applications to be decoupled from underlying platforms. This allows for platform-agnostic application development. Wayang's cross-platform optimizer determines the most efficient execution plan across various platforms, such as Apache Flink and Apache Spark. The primary performance challenges in cross-platform execution within Wayang include heterogeneous hardware, network latency and bandwidth, data locality, resource management, vendor-specific optimizations, and abstraction overhead. This report analyzes the performance implications of cross-platform execution in Wayang, focusing on optimization strategies for major cloud providers like AWS, Azure, and GCP, as of June 09, 2025. The key benefit of Wayang is its ability to optimize execution plans across multiple platforms, potentially leading to significant performance gains compared to single-platform execution....

Claude 4 is out and I couldn't resist to push it for judging and critically review our new developed open benchmark for Deep Search Multi-Hop systems . Here's the outcome, uncut: Based on my analysis of the SynthLink GitHub repository and research on Google Natural Questions and FRAMES, here's a comprehensive comparison of these three datasets: SynthLink SynthLink is a collection of complex, multi-hop questions designed for testing deep search / deep research systems, split into categories like Historical Impact Analysis, Economic and Industrial Shifts, Environmental and Ecological Consequences, Scientific and Technological Evolution, Policy and Social Movements, and STEM and Future Tech. Key Features: Uses a scoring system that measures answer accuracy, source relevance, reasoning quality, fact-checking, and search efficiency Five evaluation metrics: F1 Score (answer accuracy), Precision@5 (source relevance), Reasoning Quality Score (RQS), Fact-Checking Score (FCS), and It...

 It's wild that even with all the cool tech we've got these days, like AI solving complex equations and doing business across time zones in a flash, so many companies are still struggling with the basics: taking care of their customers.The drama around Coinbase's customer support is a prime example of even tech giants messing up. And it's not just Coinbase — it's a big-picture issue for the whole industry. At some point, the idea of "customer obsession" got replaced with "customer automation," and now we're seeing the problems that came with it. "Cases" What Not to Do Coinbase, as main example, has long been synonymous with making cryptocurrency accessible. Whether you’re a first-time buyer or a seasoned trader, their platform was once the gold standard for user experience. But lately, their customer support practices have been making headlines for all the wrong reasons: Coinbase - Stuck in the Loop:  Users have reported being caugh...