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Tag: language model

  • Simon Willison’s Weblog: Agents

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/11/agents/ Source: Simon Willison’s Weblog Title: Agents Feedly Summary: Agents Chip Huyen’s 8,000 word practical guide to building useful LLM-driven workflows that take advantage of tools. Chip starts by providing a definition of “agents" to be used in the piece – in this case it’s LLM systems that plan an approach and then…

  • Hacker News: My AI/LLM predictions for the next 1, 3 and 6 years

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/ Source: Hacker News Title: My AI/LLM predictions for the next 1, 3 and 6 years Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents predictions regarding AI and Large Language Models (LLMs) over the next one, three, and six years, with insights into their potential applications, limitations, and societal…

  • Hacker News: I Program with LLMs

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    Kurt Seifried
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    Source URL: https://arstechnica.com/ai/2025/01/how-i-program-with-llms/ Source: Hacker News Title: I Program with LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the author’s personal experiences and insights from using generative AI models, specifically large language models (LLMs), in programming. It emphasizes the productivity benefits derived from LLMs and introduces a tool in development…

  • Hacker News: Learning How to Think with Meta Chain-of-Thought

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2501.04682 Source: Hacker News Title: Learning How to Think with Meta Chain-of-Thought Feedly Summary: Comments AI Summary and Description: Yes Summary: The document presents a novel framework called Meta Chain-of-Thought (Meta-CoT) aimed at enhancing reasoning capabilities in Large Language Models (LLMs). This framework is positioned to advance AI behavior toward more human-like reasoning,…

  • Simon Willison’s Weblog: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/#atom-everything Source: Simon Willison’s Weblog Title: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends Feedly Summary: The Oxide and Friends podcast has an annual tradition of asking guests to share their predictions for the next 1, 3 and 6 years. Here’s 2022, 2023 and 2024. This…

  • Wired: Meta Secretly Trained Its AI on a Notorious Piracy Database, Newly Unredacted Court Docs Reveal

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/new-documents-unredacted-meta-copyright-ai-lawsuit/ Source: Wired Title: Meta Secretly Trained Its AI on a Notorious Piracy Database, Newly Unredacted Court Docs Reveal Feedly Summary: One of the most important AI copyright legal battles just took a major turn. AI Summary and Description: Yes Summary: Meta has faced a significant legal setback regarding its training practices for…

  • Cloud Blog: Get ready for a unique, immersive security experience at Next ‘25

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/unique-immersive-security-experience-coming-to-next-25/ Source: Cloud Blog Title: Get ready for a unique, immersive security experience at Next ‘25 Feedly Summary: Few things are more critical to IT operations than security. Security incidents, coordinated threat actors, and regulatory mandates are coupled with the imperative to effectively manage risk and the vital business task of rolling out…

  • Cloud Blog: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-vertex-ai-rag-engine/ Source: Cloud Blog Title: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence Feedly Summary: Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be…

  • Hacker News: SOTA on swebench-verified: relearning the bitter lesson

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    Kurt Seifried
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    Source URL: https://aide.dev/blog/sota-bitter-lesson Source: Hacker News Title: SOTA on swebench-verified: relearning the bitter lesson Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in AI, particularly around leveraging large language models (LLMs) for software engineering challenges through novel approaches such as test-time inference scaling. It emphasizes the key insight that scaling…