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Tag: source models

  • Slashdot: Hacker Slips Malicious ‘Wiping’ Command Into Amazon’s Q AI Coding Assistant

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    Kurt Seifried
    in

    Source URL: https://developers.slashdot.org/story/25/07/26/0352242/hacker-slips-malicious-wiping-command-into-amazons-q-ai-coding-assistant?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Hacker Slips Malicious ‘Wiping’ Command Into Amazon’s Q AI Coding Assistant Feedly Summary: AI Summary and Description: Yes Summary: This text describes a significant security incident involving Amazon’s AI coding assistant, ‘Q,’ where a hacker successfully introduced harmful commands that could potentially wipe systems and cloud resources. The incident…

  • Simon Willison’s Weblog: Qwen3-Coder: Agentic Coding in the World

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/22/qwen3-coder/ Source: Simon Willison’s Weblog Title: Qwen3-Coder: Agentic Coding in the World Feedly Summary: Qwen3-Coder: Agentic Coding in the World It turns out that as I was typing up my notes on Qwen3-235B-A22B-Instruct-2507 the Qwen team were unleashing something much bigger: Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder…

  • Cloud Blog: The Dataproc advantage: Advanced Spark features that will transform your analytics and AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/why-use-dataproc-for-your-apache-spark-environment/ Source: Cloud Blog Title: The Dataproc advantage: Advanced Spark features that will transform your analytics and AI Feedly Summary: With its exceptional price-performance, Google Cloud’s Dataproc has evolved from a simple, managed open-source software (OSS) service to a powerhouse in Apache Spark and open lakehouses, driving the analytics and AI workloads of…

  • Scott Logic: GenAI sustainability: a review of the 2025 numbers

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    Kurt Seifried
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    Source URL: https://blog.scottlogic.com/2025/07/09/genai-sustainability-a-review-of-the-2025-numbers.html Source: Scott Logic Title: GenAI sustainability: a review of the 2025 numbers Feedly Summary: A year after predicting GenAI’s sustainability crisis, the 2024/25 financial data tells a concerning story. OpenAI’s $10 billion revenue comes with $5 billion losses, whilst Anthropic burns $3-4 billion annually. With the sector consuming over $100 billion in…

  • Cisco Talos Blog: Cybercriminal abuse of large language models

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    Kurt Seifried
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    Source URL: https://blog.talosintelligence.com/cybercriminal-abuse-of-large-language-models/ Source: Cisco Talos Blog Title: Cybercriminal abuse of large language models Feedly Summary: Cybercriminals are increasingly gravitating towards uncensored LLMs, cybercriminal-designed LLMs and jailbreaking legitimate LLMs.  AI Summary and Description: Yes **Summary:** The provided text discusses how cybercriminals exploit artificial intelligence technologies, particularly large language models (LLMs), to enhance their criminal activities.…

  • The Register: MiniMax M1 model claims Chinese LLM crown from DeepSeek – plus it’s true open-source

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/06/17/minimax_m1_model_chinese_llm/ Source: The Register Title: MiniMax M1 model claims Chinese LLM crown from DeepSeek – plus it’s true open-source Feedly Summary: China’s ‘little dragons’ pose big challenge to US AI firms MiniMax, an AI firm based in Shanghai, has released an open-source reasoning model that challenges Chinese rival DeepSeek and US-based Anthropic, OpenAI,…

  • Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploying-llama4-and-deepseek-on-ai-hypercomputer/ Source: Cloud Blog Title: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes Feedly Summary: The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be  complex and resource-intensive. Developers and…

  • Simon Willison’s Weblog: Devstral

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/21/devstral/#atom-everything Source: Simon Willison’s Weblog Title: Devstral Feedly Summary: Devstral New Apache 2.0 licensed LLM release from Mistral, this time specifically trained for code. Devstral achieves a score of 46.8% on SWE-Bench Verified, outperforming prior open-source SoTA models by more than 6% points. When evaluated under the same test scaffold (OpenHands, provided by…

  • CSA: Open vs. Closed-Source AI Guide

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    Kurt Seifried
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    Source URL: https://koat.ai/open-source-models-vs-closed-source-models-a-simple-guide/ Source: CSA Title: Open vs. Closed-Source AI Guide Feedly Summary: AI Summary and Description: Yes Summary: The text provides a comprehensive analysis of the differences between open-source and closed-source AI models, highlighting their implications for data privacy, customization, costs, support, and security needs. This is particularly relevant for security and compliance professionals…