Tag: Sim
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Slashdot: White House Launches ‘Cyber Trust’ Safety Label For Smart Devices
Source URL: https://yro.slashdot.org/story/25/01/08/2225255/white-house-launches-cyber-trust-safety-label-for-smart-devices?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: White House Launches ‘Cyber Trust’ Safety Label For Smart Devices Feedly Summary: AI Summary and Description: Yes Summary: The U.S. Cyber Trust Mark has been introduced as a cybersecurity safety label for internet-connected consumer devices, allowing consumers to assess the security features of products before purchasing. The initiative, backed…
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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…
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Simon Willison’s Weblog: microsoft/phi-4
Source URL: https://simonwillison.net/2025/Jan/8/phi-4/ Source: Simon Willison’s Weblog Title: microsoft/phi-4 Feedly Summary: microsoft/phi-4 Here’s the official release of Microsoft’s Phi-4 LLM, now officially under an MIT license. A few weeks ago I covered the earlier unofficial versions, where I talked about how the model used synthetic training data in some really interesting ways. It benchmarks favorably…
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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…
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Slashdot: Nvidia’s Huang Says His AI Chips Are Improving Faster Than Moore’s Law
Source URL: https://tech.slashdot.org/story/25/01/08/1338245/nvidias-huang-says-his-ai-chips-are-improving-faster-than-moores-law?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia’s Huang Says His AI Chips Are Improving Faster Than Moore’s Law Feedly Summary: AI Summary and Description: Yes Summary: Nvidia’s advancements in AI chip technology are significantly outpacing Moore’s Law, presenting new opportunities for innovation across the stack of architecture, systems, libraries, and algorithms. This progress will not…
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Docker: Unlocking Efficiency with Docker for AI and Cloud-Native Development
Source URL: https://www.docker.com/blog/unlocking-efficiency-with-docker-for-ai-and-cloud-native-development/ Source: Docker Title: Unlocking Efficiency with Docker for AI and Cloud-Native Development Feedly Summary: Learn how Docker helps you deliver secure, efficient applications by providing consistent environments and building on best practices that let you discover and resolve issues earlier in the software development life cycle (SDLC). AI Summary and Description: Yes…
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The Register: Crims backdoored the backdoors they supplied to other miscreants. Then the domains lapsed
Source URL: https://www.theregister.com/2025/01/08/backdoored_backdoors/ Source: The Register Title: Crims backdoored the backdoors they supplied to other miscreants. Then the domains lapsed Feedly Summary: Here’s what $20 gets you these days More than 4,000 unique backdoors are using expired domains and/or abandoned infrastructure, and many of these expose government and academia-owned hosts – thus setting these hosts…