Tag: fast

  • CSA: The Future of Compliance: Shift to Proactive Security

    Source URL: https://cloudsecurityalliance.org/blog/2025/02/04/the-future-of-compliance-is-here-automation-intelligence-and-a-shift-to-proactive-security Source: CSA Title: The Future of Compliance: Shift to Proactive Security Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the evolving landscape of compliance management, highlighting the transition from traditional manual processes to automated, proactive approaches. It emphasizes four pillars of transformation: Automation, Compliance by Design, Shifting Left, and…

  • The Register: UK govt must learn fast and let failing projects die young

    Source URL: https://www.theregister.com/2025/02/04/ukgov_must_embrace_a_fastlearning/ Source: The Register Title: UK govt must learn fast and let failing projects die young Feedly Summary: Tackle longstanding issues around productivity, cyber resilience and public sector culture, advises spending watchdog The UK’s government spending watchdog has called on the current administration to make better use of technology to kickstart the misfiring…

  • Hacker News: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way

    Source URL: https://linux-howto.org/running-deepseek-r1-on-your-own-hardware-the-fast-and-easy-way Source: Hacker News Title: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a step-by-step guide to setting up and running the DeepSeek R1 large language model on personal hardware, emphasizing its independence from cloud…

  • Cisco Security Blog: AI Cyber Threat Intelligence Roundup: January 2025

    Source URL: https://feedpress.me/link/23535/16952906/ai-cyber-threat-intelligence-roundup-january-2025 Source: Cisco Security Blog Title: AI Cyber Threat Intelligence Roundup: January 2025 Feedly Summary: AI threat research is a fundamental part of Cisco’s approach to AI security. Our roundups highlight new findings from both original and third-party sources. AI Summary and Description: Yes Summary: The text discusses Cisco’s commitment to AI threat…

  • Slashdot: OpenAI’s o3-mini: Faster, Cheaper AI That Fact-Checks Itself

    Source URL: https://slashdot.org/story/25/01/31/1916254/openais-o3-mini-faster-cheaper-ai-that-fact-checks-itself?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI’s o3-mini: Faster, Cheaper AI That Fact-Checks Itself Feedly Summary: AI Summary and Description: Yes Summary: OpenAI has introduced o3-mini, a new AI reasoning model aimed at improving efficiency and accuracy in STEM task processing. This model demonstrates significant advancements over its predecessor by reducing errors and speeding up…

  • Hacker News: OpenAI launches o3-mini, its latest ‘reasoning’ model

    Source URL: https://techcrunch.com/2025/01/31/openai-launches-o3-mini-its-latest-reasoning-model/ Source: Hacker News Title: OpenAI launches o3-mini, its latest ‘reasoning’ model Feedly Summary: Comments AI Summary and Description: Yes Summary: OpenAI has launched o3-mini, a new AI reasoning model aimed at enhancing accessibility and performance in technical domains like STEM. This model distinguishes itself by fact-checking its outputs, presenting a more reliable…

  • Hacker News: Large Language Models Think Too Fast to Explore Effectively

    Source URL: https://arxiv.org/abs/2501.18009 Source: Hacker News Title: Large Language Models Think Too Fast to Explore Effectively Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “Large Language Models Think Too Fast To Explore Effectively” investigates the exploratory capabilities of Large Language Models (LLMs). It highlights that while LLMs excel in many domains,…

  • Cloud Blog: Improving model performance with PyTorch/XLA 2.6

    Source URL: https://cloud.google.com/blog/products/application-development/pytorch-xla-2-6-helps-improve-ai-model-performance/ Source: Cloud Blog Title: Improving model performance with PyTorch/XLA 2.6 Feedly Summary: For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It…

  • Hacker News: Inducing brain-like structure in GPT’s weights makes them parameter efficient

    Source URL: https://arxiv.org/abs/2501.16396 Source: Hacker News Title: Inducing brain-like structure in GPT’s weights makes them parameter efficient Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces TopoLoss, a new loss function aimed at enhancing the organization of AI models by adopting brain-like topographic structures. This approach results in superior task performance in…