Experimental News Clipping Site

Tag: language model

  • Tomasz Tunguz: How AI Tools Differ from Human Tools

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/tools-evolution/ Source: Tomasz Tunguz Title: How AI Tools Differ from Human Tools Feedly Summary: Now that we’ve compressed nearly all human knowledge into large language models, the next frontier is tool calling. Chaining together different AI tools enables automation. The shift from thinking to doing represents the real breakthrough in AI utility. I’ve…

  • Simon Willison’s Weblog: Comparing the memory implementations of Claude and ChatGPT

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/12/claude-memory/#atom-everything Source: Simon Willison’s Weblog Title: Comparing the memory implementations of Claude and ChatGPT Feedly Summary: Claude Memory: A Different Philosophy Shlok Khemani has been doing excellent work reverse-engineering LLM systems and documenting his discoveries. Last week he wrote about ChatGPT memory. This week it’s Claude. Claude’s memory system has two fundamental characteristics.…

  • Simon Willison’s Weblog: Defeating Nondeterminism in LLM Inference

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/11/defeating-nondeterminism/#atom-everything Source: Simon Willison’s Weblog Title: Defeating Nondeterminism in LLM Inference Feedly Summary: Defeating Nondeterminism in LLM Inference A very common question I see about LLMs concerns why they can’t be made to deliver the same response to the same prompt by setting a fixed random number seed. Like many others I had…

  • AWS Open Source Blog: Strands Agents and the Model-Driven Approach

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/ Source: AWS Open Source Blog Title: Strands Agents and the Model-Driven Approach Feedly Summary: Until recently, building AI agents meant wrestling with complex orchestration frameworks. Developers wrote elaborate state machines, predefined workflows, and extensive error-handling code to guide language models through multi-step tasks. We needed to build elaborate decision trees to handle…

  • Slashdot: HHS Asks All Employees To Start Using ChatGPT

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    Kurt Seifried
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    Source URL: https://yro.slashdot.org/story/25/09/09/2129252/hhs-asks-all-employees-to-start-using-chatgpt?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: HHS Asks All Employees To Start Using ChatGPT Feedly Summary: AI Summary and Description: Yes Summary: The email from the Department of Health and Human Services (HHS) announces the rollout of ChatGPT for all employees to improve efficiency. However, there are concerns regarding the management of sensitive information and…

  • Slashdot: Sam Altman Says Bots Are Making Social Media Feel ‘Fake’

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/09/09/0048216/sam-altman-says-bots-are-making-social-media-feel-fake?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Sam Altman Says Bots Are Making Social Media Feel ‘Fake’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Sam Altman’s observations on the prevalence of bots and AI-generated content on social media platforms, particularly regarding the OpenAI Codex. Altman expresses concern about the authenticity of social…