Tag: stability
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Docker: Why Testcontainers Cloud Is a Game-Changer Compared to Docker-in-Docker for Testing Scenarios
Source URL: https://www.docker.com/blog/testcontainers-cloud-vs-docker-in-docker-for-testing-scenarios/ Source: Docker Title: Why Testcontainers Cloud Is a Game-Changer Compared to Docker-in-Docker for Testing Scenarios Feedly Summary: Learn why Testcontainers Cloud is a transformative alternative to Docker-in-Docker that’s reshaping container-based testing. AI Summary and Description: Yes Summary: The text elaborates on the challenges and risks associated with using Docker-in-Docker (DinD) in continuous…
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Slashdot: IBM Boosts the Amount of Computation You Can Get Done On Quantum Hardware
Source URL: https://tech.slashdot.org/story/24/11/14/018246/ibm-boosts-the-amount-of-computation-you-can-get-done-on-quantum-hardware?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: IBM Boosts the Amount of Computation You Can Get Done On Quantum Hardware Feedly Summary: AI Summary and Description: Yes Summary: The text discusses IBM’s advancements in quantum computing, particularly the introduction of the Heron processor version 2, which increases reliability and efficiency in calculations despite existing errors. It…
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Hacker News: Cash App migrated 400TB of data to PlanetScale’s cloud
Source URL: https://planetscale.com/case-studies/cash-app Source: Hacker News Title: Cash App migrated 400TB of data to PlanetScale’s cloud Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed overview of Cash App’s migration from self-hosted Vitess clusters to PlanetScale’s managed database solution. This transition enhanced operational efficiency, performance, and compliance while addressing the…
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Hacker News: Iterative α-(de)blending and Stochastic Interpolants
Source URL: http://www.nicktasios.nl/posts/iterative-alpha-deblending/ Source: Hacker News Title: Iterative α-(de)blending and Stochastic Interpolants Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reviews a paper proposing a method called Iterative α-(de)blending for simplifying the understanding and implementation of diffusion models in generative AI. The author critiques the paper for its partial clarity, discusses the…