Tag: tasks

  • Slashdot: AI Coding Agents Are Already Commoditized

    Source URL: https://developers.slashdot.org/story/25/07/04/191224/ai-coding-agents-are-already-commoditized?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Coding Agents Are Already Commoditized Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the commoditization of AI coding agents, arguing that recent advancements in AI models have leveled the playing field, making powerful coding agents accessible without unique technical advantages. Sean Goedecke emphasizes that the…

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

    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

    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

    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…

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

    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

    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: Is your database holding you back? Boosting database efficiency and ROI with Cloud SQL

    Source URL: https://cloud.google.com/blog/products/databases/how-cloud-sql-boosts-performance-and-cuts-costs-per-idc/ Source: Cloud Blog Title: Is your database holding you back? Boosting database efficiency and ROI with Cloud SQL Feedly Summary: Editor’s Note: Today, we’re sharing insights from IDC Research Director, Devin Pratt, as he offers his analysis of recent research on Cloud SQL. In this post, you’ll see how Cloud SQL’s highly…

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

    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…