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Tag: deterministic

  • Docker: You are Doing MCP Wrong: 3 Big Misconceptions

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    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/mcp-misconceptions-tools-agents-not-api/ Source: Docker Title: You are Doing MCP Wrong: 3 Big Misconceptions Feedly Summary: MCP is not an API. Tools are not agents. MCP is more than tools. Here’s what this means in practice. Most developers misread the Model Context Protocol because they map it onto familiar API mental models. That mistake breaks…

  • Slashdot: Google Improves Gemini AI Image Editing With ‘Nano Banana’ Model

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    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/08/26/215246/google-improves-gemini-ai-image-editing-with-nano-banana-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Improves Gemini AI Image Editing With ‘Nano Banana’ Model Feedly Summary: AI Summary and Description: Yes Summary: Google DeepMind has launched the “nano banana” model (Gemini 2.5 Flash Image), which excels in AI image editing by offering improved consistency in edits. This advancement enhances the practical use cases…

  • Tomasz Tunguz: When One AI Grades Another’s Work

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    by

    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/evolution-of-ai-judges-improving-evoblog/ Source: Tomasz Tunguz Title: When One AI Grades Another’s Work Feedly Summary: Since launching EvoBlog internally, I’ve wanted to improve it. One way of doing this is having an LLM judge the best posts rather than a static scoring system. I appointed Gemini 2.5 to be that judge. This post is a…

  • Cloud Blog: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/kakaos-journey-with-jax-and-cloud-tpus/ Source: Cloud Blog Title: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs Feedly Summary: When your messaging platform serves 49 million people – 93% of South Korea’s population – every technical decision carries enormous weight. The engineering team at Kakao faced exactly this challenge when their existing…

  • Enterprise AI Trends: GPT-5: Strategic Implications

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    by

    Kurt Seifried
    in

    Source URL: https://nextword.substack.com/p/gpt-5-strategic-implications Source: Enterprise AI Trends Title: GPT-5: Strategic Implications Feedly Summary: Not feeling the AGI? That’s not the point. AI Summary and Description: Yes **Summary:** The text discusses the significant implications of OpenAI’s recent transition to GPT-5, including the retirement of previous models and the introduction of a model router, which will streamline…

  • Simon Willison’s Weblog: Open weight LLMs exhibit inconsistent performance across providers

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/15/inconsistent-performance/ Source: Simon Willison’s Weblog Title: Open weight LLMs exhibit inconsistent performance across providers Feedly Summary: Artificial Analysis published a new benchmark the other day, this time focusing on how an individual model – OpenAI’s gpt-oss-120b – performs across different hosted providers. The results showed some surprising differences. Here’s the one with the…

  • Enterprise AI Trends: GPT-5: Strategic Implications

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    by

    Kurt Seifried
    in

    Source URL: https://blog.ainativefirm.com/p/gpt-5-strategic-implications Source: Enterprise AI Trends Title: GPT-5: Strategic Implications Feedly Summary: Not feeling the AGI? That’s not the point. AI Summary and Description: Yes Summary: The text discusses the implications of the release of GPT-5 by OpenAI, particularly focusing on its unification of models under a single umbrella and the strategic advantages gained…

  • Tomasz Tunguz: Small Action Models Are the Future of AI Agents

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    by

    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/ai-skills-inversion/ Source: Tomasz Tunguz Title: Small Action Models Are the Future of AI Agents Feedly Summary: 2025 is the year of agents, and the key capability of agents is calling tools. When using Claude Code, I can tell the AI to sift through a newsletter, find all the links to startups, verify they…