Experimental News Clipping Site

Tag: scaling

  • Microsoft Security Blog: Why security teams rely on Microsoft Defender Experts for XDR for managed detection and response

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    Kurt Seifried
    in

    Source URL: https://www.microsoft.com/en-us/security/blog/2025/01/06/why-security-teams-rely-on-microsoft-defender-experts-for-xdr-for-managed-detection-and-response/ Source: Microsoft Security Blog Title: Why security teams rely on Microsoft Defender Experts for XDR for managed detection and response Feedly Summary: Microsoft Defender Experts for XDR is a mature and proven service that triages, investigates, and responds to incidents and hunts for threats on a customer’s behalf around the clock. Learn…

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

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    Kurt Seifried
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    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…

  • The Register: Amazon splashes $11B on AI datacenters in Georgia

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/08/amazons_latest_investment_is_11b/ Source: The Register Title: Amazon splashes $11B on AI datacenters in Georgia Feedly Summary: The Peach State is already home to more than 50 bit barns Amazon’s datacenter footprint in the US state of Georgia is set to swell, with an $11 billion investment proposed.… AI Summary and Description: Yes Summary: Amazon’s…

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

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    Kurt Seifried
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    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…

  • Hacker News: Nvidia CEO says his AI chips are improving faster than Moore’s Law

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    Kurt Seifried
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    Source URL: https://techcrunch.com/2025/01/07/nvidia-ceo-says-his-ai-chips-are-improving-faster-than-moores-law/ Source: Hacker News Title: Nvidia CEO says his AI chips are improving faster than Moore’s Law Feedly Summary: Comments AI Summary and Description: Yes Summary: Jensen Huang, CEO of Nvidia, asserts that the performance of the company’s AI chips is advancing at a pace exceeding the historical benchmark of Moore’s Law. This…

  • Hacker News: Google is building its own ‘world modeling’ AI team for games and robot training

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    Kurt Seifried
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    Source URL: https://www.theverge.com/2025/1/7/24338053/google-deepmind-world-modeling-ai-team-gaming-robot-training Source: Hacker News Title: Google is building its own ‘world modeling’ AI team for games and robot training Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Google DeepMind is forming a new team to focus on the development of “world models” for simulating physical environments, which aims to advance their artificial…

  • The Register: Even at $200/mo, Altman admits ChatGPT Pro struggles to turn a profit

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/06/altman_gpt_profits/ Source: The Register Title: Even at $200/mo, Altman admits ChatGPT Pro struggles to turn a profit Feedly Summary: But don’t worry, he’s ‘figured out’ AGI comment Even at $200 a month for ChatGPT Pro, the service is struggling to turn a profit, OpenAI CEO Sam Altman lamented on the platform formerly known…

  • Simon Willison’s Weblog: Quoting François Chollet

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    system automation
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    Source URL: https://simonwillison.net/2025/Jan/6/francois-chollet/#atom-everything Source: Simon Willison’s Weblog Title: Quoting François Chollet Feedly Summary: I don’t think people really appreciate how simple ARC-AGI-1 was, and what solving it really means. It was designed as the simplest, most basic assessment of fluid intelligence possible. Failure to pass signifies a near-total inability to adapt or problem-solve in unfamiliar…

  • Hacker News: The State of Generative Models

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    system automation
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    Source URL: https://nrehiew.github.io/blog/2024/ Source: Hacker News Title: The State of Generative Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive overview of the advances in generative AI technologies, particularly focusing on Large Language Models (LLMs) and their architectures, image generation models, and emerging trends leading into 2025. It discusses…

  • Hacker News: A path to O1 open source

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    system automation
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    Source URL: https://arxiv.org/abs/2412.14135 Source: Hacker News Title: A path to O1 open source Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in artificial intelligence, particularly focusing on the reinforcement learning approach to reproduce OpenAI’s o1 model. It highlights key components like policy initialization, reward design, search, and learning that contribute…