Experimental News Clipping Site

Tag: Just

  • Simon Willison’s Weblog: Identify, solve, verify

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/4/identify-solve-verify/#atom-everything Source: Simon Willison’s Weblog Title: Identify, solve, verify Feedly Summary: The more time I spend using LLMs for code, the less I worry for my career – even as their coding capabilities continue to improve. Using LLMs as part of my process helps me understand how much of my job isn’t just…

  • Simon Willison’s Weblog: Quoting Adam Gordon Bell

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/3/adam-gordon-bell/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Adam Gordon Bell Feedly Summary: I think that a lot of resistance to AI coding tools comes from the same place: fear of losing something that has defined you for so long. People are reacting against overblown hype, and there is overblown hype. I get that,…

  • The Register: AI models just don’t understand what they’re talking about

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/07/03/ai_models_potemkin_understanding/ Source: The Register Title: AI models just don’t understand what they’re talking about Feedly Summary: Researchers find models’ success at tests hides illusion of understanding Researchers from MIT, Harvard, and the University of Chicago have proposed the term “potemkin understanding" to describe a newly identified failure mode in large language models that…

  • Cisco Talos Blog: A message from Bruce the mechanical shark

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    Kurt Seifried
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    Source URL: https://blog.talosintelligence.com/a-message-from-bruce-the-mechanical-shark/ Source: Cisco Talos Blog Title: A message from Bruce the mechanical shark Feedly Summary: This Fourth of July, Bruce, the 25-foot mechanical shark from Jaws, shares how his saltwater struggles mirror the need for real-world cybersecurity stress testing. AI Summary and Description: Yes **Summary:** The text addresses various cybersecurity topics, particularly focusing…

  • Docker: 5 Best Practices for Building, Testing, and Packaging MCP Servers 

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/mcp-server-best-practices/ Source: Docker Title: 5 Best Practices for Building, Testing, and Packaging MCP Servers  Feedly Summary: We recently launched a new, reimagined Docker MCP Catalog with improved discovery and a new submission process. Containerized MCP servers offer a secure way to run and scale agentic applications and minimize risks tied to host access…

  • Docker: Docker Desktop 4.43: Expanded Model Runner, Reimagined MCP Catalog, MCP Server Submissions, and Smarter Gordon

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/docker-desktop-4-43/ Source: Docker Title: Docker Desktop 4.43: Expanded Model Runner, Reimagined MCP Catalog, MCP Server Submissions, and Smarter Gordon Feedly Summary: Docker Desktop 4.43 just rolled out a set of powerful updates that simplify how developers run, manage, and secure AI models and MCP tools.  Model Runner now includes better model management, expanded…

  • Simon Willison’s Weblog: Table saws

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/3/table-saws/ Source: Simon Willison’s Weblog Title: Table saws Feedly Summary: Quitting programming as a career right now because of LLMs would be like quitting carpentry as a career thanks to the invention of the table saw. Tags: careers, ai-assisted-programming, generative-ai, ai, llms AI Summary and Description: Yes Summary: The text draws an analogy…

  • Cloud Blog: How to build a simple multi-agentic system using Google’s ADK

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-multi-agentic-systems-using-google-adk/ Source: Cloud Blog Title: How to build a simple multi-agentic system using Google’s ADK Feedly Summary: Agents are top of mind for enterprises, but often we find customers building one “super” agent – a jack of all trades – instead creating multiple agents that can specialize and work together. Monolithic agents often…

  • Slashdot: AI is Now Screening Job Candidates Before Humans Ever See Them

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/07/01/186240/ai-is-now-screening-job-candidates-before-humans-ever-see-them Source: Slashdot Title: AI is Now Screening Job Candidates Before Humans Ever See Them Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the emerging practice of using AI agents to conduct initial job interviews, highlighting a trend in recruitment where large language models automate the screening of applicants. This…