Experimental News Clipping Site

Tag: writing

  • Cloud Blog: Graduating the inaugural Google for Startups Accelerator: AI First cohort in the UK

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/startups/graduating-the-google-for-startups-accelerator-ai-first/ Source: Cloud Blog Title: Graduating the inaugural Google for Startups Accelerator: AI First cohort in the UK Feedly Summary: The Google for Startups Accelerator: AI First UK has celebrated the graduation of its latest cohort of AI startups. The 12-week hybrid program, designed for rapid growth, began in London in April and…

  • Simon Willison’s Weblog: Coding with LLMs in the summer of 2025 (an update)

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/21/coding-with-llms/#atom-everything Source: Simon Willison’s Weblog Title: Coding with LLMs in the summer of 2025 (an update) Feedly Summary: Coding with LLMs in the summer of 2025 (an update) Salvatore Sanfilippo describes his current AI-assisted development workflow. He’s all-in on LLMs for code review, exploratory prototyping, pair-design and writing “part of the code under…

  • Tomasz Tunguz: Hidden Technical Debt in AI

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…

  • Cloud Blog: How to enable real time semantic search and RAG applications with Dataflow ML

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/create-and-retrieve-embeddings-with-a-few-lines-of-dataflow-ml-code/ Source: Cloud Blog Title: How to enable real time semantic search and RAG applications with Dataflow ML Feedly Summary: Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post,…

  • Slashdot: China’s Moonshot Launches Free AI Model Kimi K2 That Outperforms GPT-4 In Key Benchmarks

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    Kurt Seifried
    in

    Source URL: https://developers.slashdot.org/story/25/07/14/1942209/chinas-moonshot-launches-free-ai-model-kimi-k2-that-outperforms-gpt-4-in-key-benchmarks?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: China’s Moonshot Launches Free AI Model Kimi K2 That Outperforms GPT-4 In Key Benchmarks Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the release of Kimi K2, a trillion-parameter open-source language model by Chinese startup Moonshot AI, which surpasses GPT-4 in key performance benchmarks. Its unique…

  • Simon Willison’s Weblog: Quoting Django’s security policies

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/11/django-security-policies/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Django’s security policies Feedly Summary: Following the widespread availability of large language models (LLMs), the Django Security Team has received a growing number of security reports generated partially or entirely using such tools. Many of these contain inaccurate, misleading, or fictitious content. While AI tools can…

  • Cloud Blog: Cloud Storage bucket relocation: An industry first for non-disruptive bucket migrations

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/introducing-cloud-storage-bucket-relocation/ Source: Cloud Blog Title: Cloud Storage bucket relocation: An industry first for non-disruptive bucket migrations Feedly Summary: As your operational needs change, sometimes you need to move data residing within Google’s Cloud Storage to a new location, to improve resilience, optimize performance, meet compliance needs, or simply to reorganize your infrastructure. Yet…

  • Slashdot: Massive Study Detects AI Fingerprints In Millions of Scientific Papers

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    Kurt Seifried
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    Source URL: https://science.slashdot.org/story/25/07/07/231226/massive-study-detects-ai-fingerprints-in-millions-of-scientific-papers?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Massive Study Detects AI Fingerprints In Millions of Scientific Papers Feedly Summary: AI Summary and Description: Yes Summary: A recent study by researchers from the U.S. and Germany reveals that AI-generated content is increasingly present in academic writing, significantly altering the stylistic choices of authors. This rise in LLM-generated…