Experimental News Clipping Site

Tag: learning and adaptation

  • Slashdot: Can You Run the Llama 2 LLM on DOS?

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    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/04/21/0026255/can-you-run-the-llama-2-llm-on-dos Source: Slashdot Title: Can You Run the Llama 2 LLM on DOS? Feedly Summary: AI Summary and Description: Yes Summary: The text revolves around an innovative project by an embedded security researcher who successfully ported Llama 2, a large language model (LLM), to run on vintage DOS machines. This challenges the conventional…

  • Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data

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    Kurt Seifried
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    Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…

  • CSA: Our Shield Against Bad AI Is Good AI… But Are Your Vendors AI-Native or AI-Hype?

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    Kurt Seifried
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    Source URL: https://abnormalsecurity.com/blog/ai-native-vendors Source: CSA Title: Our Shield Against Bad AI Is Good AI… But Are Your Vendors AI-Native or AI-Hype? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the dual role of artificial intelligence (AI) in cybersecurity, highlighting how cyber criminals leverage AI for sophisticated attacks while emphasizing the necessity for…

  • Cisco Security Blog: AI Threat Intelligence Roundup: February 2025

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    Kurt Seifried
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    Source URL: https://blogs.cisco.com/security/ai-threat-intelligence-roundup-february-2025 Source: Cisco Security Blog Title: AI Threat Intelligence Roundup: February 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 emphasizes Cisco’s commitment to AI security through…

  • New York Times – Artificial Intelligence : A.I. Is Prompting an Evolution, Not an Extinction, for Coders

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    Kurt Seifried
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    Source URL: https://www.nytimes.com/2025/02/20/business/ai-coding-software-engineers.html Source: New York Times – Artificial Intelligence Title: A.I. Is Prompting an Evolution, Not an Extinction, for Coders Feedly Summary: A.I. tools from Microsoft and other companies are helping write code, placing software engineers at the forefront of the technology’s potential to disrupt the work force. AI Summary and Description: Yes Summary:…

  • The Register: Microsoft eggheads say AI can never be made secure – after testing Redmond’s own products

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/17/microsoft_ai_redteam_infosec_warning/ Source: The Register Title: Microsoft eggheads say AI can never be made secure – after testing Redmond’s own products Feedly Summary: If you want a picture of the future, imagine your infosec team stamping on software forever Microsoft brainiacs who probed the security of more than 100 of the software giant’s own…

  • Hacker News: Transformer^2: Self-Adaptive LLMs

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    Kurt Seifried
    in

    Source URL: https://sakana.ai/transformer-squared/ Source: Hacker News Title: Transformer^2: Self-Adaptive LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the innovative Transformer² machine learning system, which introduces self-adaptive capabilities to LLMs, allowing them to adjust dynamically to various tasks. This advancement promises significant improvements in AI efficiency and adaptability, paving the way…

  • Hacker News: AI Engineer Reading List

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    Kurt Seifried
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    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…