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Tag: IRS

  • Hacker News: DOGE’s AI use in government doesn’t add up

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    Kurt Seifried
    in

    Source URL: https://www.washingtonpost.com/technology/2025/03/03/doge-ai-government-automation/ Source: Hacker News Title: DOGE’s AI use in government doesn’t add up Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the U.S. DOGE Service’s initiative to adopt an “AI-first” strategy, emphasizing the role of artificial intelligence in enhancing government efficiency and decision-making. It highlights the involvement of prominent…

  • Cloud Blog: How to calculate your AI costs on Google Cloud

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/cost-management/unlock-the-true-cost-of-enterprise-ai-on-google-cloud/ Source: Cloud Blog Title: How to calculate your AI costs on Google Cloud Feedly Summary: What is the true cost of enterprise AI? As a technology leader and a steward of company resources, understanding these costs isn’t just prudent – it’s essential for sustainable AI adoption. To help, we’ll unveil a comprehensive…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Anchore: Generating Python SBOMs: Using pipdeptree and Syft

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    Kurt Seifried
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    Source URL: https://anchore.com/blog/python-sbom-generation/ Source: Anchore Title: Generating Python SBOMs: Using pipdeptree and Syft Feedly Summary: SBOM (software bill of materials) generation is becoming increasingly important for software supply chain security and compliance. Several approaches exist for generating SBOMs for Python projects, each with its own strengths. In this post, we’ll explore two popular methods: using…

  • Unit 42: Uncovering .NET Malware Obfuscated by Encryption and Virtualization

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    Kurt Seifried
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    Source URL: https://unit42.paloaltonetworks.com/?p=138493 Source: Unit 42 Title: Uncovering .NET Malware Obfuscated by Encryption and Virtualization Feedly Summary: Malware authors use AES encryption and code virtualization to evade sandbox static analysis. We explore how this facilitates spread of Agent Tesla, XWorm and more. The post Uncovering .NET Malware Obfuscated by Encryption and Virtualization appeared first on…

  • Hacker News: The Era of Solopreneurs Is Here

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    Kurt Seifried
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    Source URL: https://manidoraisamy.com/developer-forever/post/the-era-of-solopreneurs-is-here.anc-52867368-2029-4dc5-a7da-ece853a648b5.html Source: Hacker News Title: The Era of Solopreneurs Is Here Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the transformative impact of AI on the software development landscape, emphasizing how companies like DeepSeek are leveraging AI to optimize costs and enhance productivity. It discusses the potential disruption to…

  • Simon Willison’s Weblog: Notes from my Accessibility and Gen AI podcast appearence

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/accessibility-and-gen-ai/#atom-everything Source: Simon Willison’s Weblog Title: Notes from my Accessibility and Gen AI podcast appearence Feedly Summary: I was a guest on the most recent episode of the Accessibility + Gen AI Podcast, hosted by Eamon McErlean and Joe Devon. We had a really fun, wide-ranging conversation about a host of different topics.…

  • Simon Willison’s Weblog: Hallucinations in code are the least dangerous form of LLM mistakes

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/#atom-everything Source: Simon Willison’s Weblog Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination – usually the LLM inventing a method or even a full software library…