Experimental News Clipping Site

Tag: task complexity

  • Cloud Blog: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/financial-services/assembling-a-team-of-ai-agents-to-handle-complex-mortgage-questions-at-mr-cooper/ Source: Cloud Blog Title: How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions Feedly Summary: In today’s world where instant responses and seamless experiences are the norm, industries like mortgage servicing face tough challenges. When navigating a maze of regulations, piles of financial documents, and the high…

  • Simon Willison’s Weblog: GPT‑5-Codex and upgrades to Codex

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/15/gpt-5-codex/#atom-everything Source: Simon Willison’s Weblog Title: GPT‑5-Codex and upgrades to Codex Feedly Summary: GPT‑5-Codex and upgrades to Codex OpenAI half-released a new model today: GPT‑5-Codex, a fine-tuned GPT-5 variant explicitly designed for their various AI-assisted programming tools. I say half-released because it’s not yet available via their API, but they “plan to make…

  • OpenAI : Addendum to GPT-5 system card: GPT-5-Codex

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    Kurt Seifried
    in

    Source URL: https://openai.com/index/gpt-5-system-card-addendum-gpt-5-codex Source: OpenAI Title: Addendum to GPT-5 system card: GPT-5-Codex Feedly Summary: This addendum to the GPT-5 system card shares a new model: GPT-5-Codex, a version of GPT-5 further optimized for agentic coding in Codex. GPT-5-Codex adjusts its thinking effort more dynamically based on task complexity, responding quickly to simple conversational queries or…

  • Tomasz Tunguz: What Level of AI?

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/which-level-ai/ Source: Tomasz Tunguz Title: What Level of AI? Feedly Summary: Which level do I want to use AI? I find myself asking this question more & more frequently & I think the answer means at work I’ll be using many AIs – not just one or two. AI Level Use Case Description…

  • Simon Willison’s Weblog: Saying "hi" to Microsoft’s Phi-4-reasoning

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/6/phi-4-reasoning/#atom-everything Source: Simon Willison’s Weblog Title: Saying "hi" to Microsoft’s Phi-4-reasoning Feedly Summary: Microsoft released a new sub-family of models a few days ago: Phi-4 reasoning. They introduced them in this blog post celebrating a year since the release of Phi-3: Today, we are excited to introduce Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning – marking…

  • Hacker News: Agents Are Not Enough

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    Kurt Seifried
    in

    Source URL: https://www.arxiv.org/pdf/2412.16241 Source: Hacker News Title: Agents Are Not Enough Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution and limitations of AI agents, emphasizing that while advancements exist, they are not sufficient for widespread success. It proposes a new ecosystem that integrates agents, user representations (Sims), and Assistants,…

  • Hacker News: Comparison of Claude Sonnet 3.5, GPT-4o, o1, and Gemini 1.5 Pro for coding

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    system automation
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    Source URL: https://www.qodo.ai/blog/comparison-of-claude-sonnet-3-5-gpt-4o-o1-and-gemini-1-5-pro-for-coding/ Source: Hacker News Title: Comparison of Claude Sonnet 3.5, GPT-4o, o1, and Gemini 1.5 Pro for coding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text provides a comprehensive analysis of various AI models, particularly focusing on recent advancements in LLMs (Large Language Models) for coding tasks. It assesses the…

  • Hacker News: The Impact of Element Ordering on LM Agent Performance

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    system automation
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    Source URL: https://arxiv.org/abs/2409.12089 Source: Hacker News Title: The Impact of Element Ordering on LM Agent Performance Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper discusses the significance of element ordering in enhancing the performance of language model agents navigating web and desktop environments. It reveals that randomizing element ordering drastically impairs performance,…