Tag: multi

  • Hacker News: Double-keyed caching: Browser cache partitioning

    Source URL: https://addyosmani.com/blog/double-keyed-caching/ Source: Hacker News Title: Double-keyed caching: Browser cache partitioning Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the transition from traditional web caching models to Double-keyed Caching due to privacy concerns. This change fundamentally alters resource retrieval and storage in browsers, impacting performance and impacting web architecture strategies.…

  • Hacker News: Apple’s new AI feature rewords scam messages to make them look more legit

    Source URL: https://www.crikey.com.au/2025/01/08/apple-new-artificial-intelligence-rewords-scam-messages-look-legitimate/ Source: Hacker News Title: Apple’s new AI feature rewords scam messages to make them look more legit Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Apple’s AI features that rephrase and prioritize notifications, highlighting concerns that these functionalities may inadvertently enhance the likelihood of users falling prey to…

  • Hacker News: SOTA on swebench-verified: relearning the bitter lesson

    Source URL: https://aide.dev/blog/sota-bitter-lesson Source: Hacker News Title: SOTA on swebench-verified: relearning the bitter lesson Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in AI, particularly around leveraging large language models (LLMs) for software engineering challenges through novel approaches such as test-time inference scaling. It emphasizes the key insight that scaling…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

  • Slashdot: Religious Leaders Experiment With AI In Sermons

    Source URL: https://slashdot.org/story/25/01/08/0015223/religious-leaders-experiment-with-ai-in-sermons Source: Slashdot Title: Religious Leaders Experiment With AI In Sermons Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the innovative use of AI in religious contexts, highlighting Rabbi Josh Fixler’s experience with an AI chatbot that generates and delivers sermons. This development reflects a broader trend of religious leaders…

  • Krebs on Security: A Day in the Life of a Prolific Voice Phishing Crew

    Source URL: https://krebsonsecurity.com/2025/01/a-day-in-the-life-of-a-prolific-voice-phishing-crew/ Source: Krebs on Security Title: A Day in the Life of a Prolific Voice Phishing Crew Feedly Summary: Besieged by scammers seeking to phish user accounts over the telephone, Apple and Google frequently caution that they will never reach out unbidden to users this way. However, new details about the internal operations…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…