Tag: search
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Slashdot: Nvidia CEO: Quantum Computers Won’t Be Very Useful for Another 20 Years
Source URL: https://tech.slashdot.org/story/25/01/10/0023257/nvidia-ceo-quantum-computers-wont-be-very-useful-for-another-20-years?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia CEO: Quantum Computers Won’t Be Very Useful for Another 20 Years Feedly Summary: AI Summary and Description: Yes Summary: Nvidia CEO Jensen Huang predicts that quantum computers will not become practically useful for approximately 20 years, causing a notable drop in stock values in the quantum computing sector.…
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Cloud Blog: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-vertex-ai-rag-engine/ Source: Cloud Blog Title: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence Feedly Summary: Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be…
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Hacker News: WorstFit: Unveiling Hidden Transformers in Windows ANSI
Source URL: https://blog.orange.tw/posts/2025-01-worstfit-unveiling-hidden-transformers-in-windows-ansi/ Source: Hacker News Title: WorstFit: Unveiling Hidden Transformers in Windows ANSI Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel security vulnerability termed “WorstFit” that exploits Microsoft Windows’ character encoding and conversion mechanisms, particularly its Best-Fit behavior, leading to various forms of attacks including Remote Code Execution…
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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…