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Tag: generative AI models

  • Simon Willison’s Weblog: r1.py script to run R1 with a min-thinking-tokens parameter

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/22/r1py/ Source: Simon Willison’s Weblog Title: r1.py script to run R1 with a min-thinking-tokens parameter Feedly Summary: r1.py script to run R1 with a min-thinking-tokens parameter Fantastically creative hack by Theia Vogel. The DeepSeek R1 family of models output their chain of thought inside a …</think> block. Theia found that you can intercept…

  • Simon Willison’s Weblog: Run DeepSeek R1 or V3 with MLX Distributed

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/22/mlx-distributed/ Source: Simon Willison’s Weblog Title: Run DeepSeek R1 or V3 with MLX Distributed Feedly Summary: Run DeepSeek R1 or V3 with MLX Distributed Handy detailed instructions from Awni Hannun on running the enormous DeepSeek R1 or v3 models on a cluster of Macs using the distributed communication feature of Apple’s MLX library.…

  • Slashdot: Managing AI Agents As Employees Is the Challenge of 2025, Says Goldman Sachs CIO

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    Kurt Seifried
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    Source URL: https://it.slashdot.org/story/25/01/21/2213230/managing-ai-agents-as-employees-is-the-challenge-of-2025-says-goldman-sachs-cio Source: Slashdot Title: Managing AI Agents As Employees Is the Challenge of 2025, Says Goldman Sachs CIO Feedly Summary: AI Summary and Description: Yes Summary: The text discusses predictions from Goldman Sachs regarding the evolution of artificial intelligence (AI) in corporate environments, particularly focusing on the integration of AI as active participants…

  • Simon Willison’s Weblog: Lessons From Red Teaming 100 Generative AI Products

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/18/lessons-from-red-teaming/ Source: Simon Willison’s Weblog Title: Lessons From Red Teaming 100 Generative AI Products Feedly Summary: Lessons From Red Teaming 100 Generative AI Products New paper from Microsoft describing their top eight lessons learned red teaming (deliberately seeking security vulnerabilities in) 100 different generative AI models and products over the past few years.…

  • METR updates – METR: Comment on NIST RMF GenAI Companion

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    Kurt Seifried
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    Source URL: https://downloads.regulations.gov/NIST-2024-0001-0075/attachment_2.pdf Source: METR updates – METR Title: Comment on NIST RMF GenAI Companion Feedly Summary: AI Summary and Description: Yes **Summary**: The provided text discusses the National Institute of Standards and Technology’s (NIST) AI Risk Management Framework concerning Generative AI. It outlines significant risks posed by autonomous AI systems and suggests enhancements to…

  • 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…

  • Slashdot: Nvidia Reveals AI Supercomputer Used Non-Stop For Six Years To Perfect Gaming Graphics

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    Kurt Seifried
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    Source URL: https://it.slashdot.org/story/25/01/16/1743210/nvidia-reveals-ai-supercomputer-used-non-stop-for-six-years-to-perfect-gaming-graphics?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia Reveals AI Supercomputer Used Non-Stop For Six Years To Perfect Gaming Graphics Feedly Summary: AI Summary and Description: Yes Summary: The text highlights Nvidia’s commitment to enhancing its Deep Learning Super Sampling (DLSS) technology through a dedicated supercomputer. This focus on continuous analysis and model retraining is significant…

  • CSA: Using AI Effectively: An Intro to Prompt Engineering

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/01/15/unlocking-the-power-of-ai-an-intro-to-prompt-engineering Source: CSA Title: Using AI Effectively: An Intro to Prompt Engineering Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the importance of prompt engineering in utilizing Large Language Models (LLMs) effectively, highlighting how tailored prompts can improve the outputs from AI systems. The focus is on crafting clear instructions…

  • Hacker News: I Program with LLMs

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    Kurt Seifried
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    Source URL: https://arstechnica.com/ai/2025/01/how-i-program-with-llms/ Source: Hacker News Title: I Program with LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the author’s personal experiences and insights from using generative AI models, specifically large language models (LLMs), in programming. It emphasizes the productivity benefits derived from LLMs and introduces a tool in development…