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Tag: Large Language Models (LLMs)

  • Tomasz Tunguz: Hidden Technical Debt in AI

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    Kurt Seifried
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    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…

  • The Register: Boffins detail new algorithms to losslessly boost AI perf by up to 2.8x

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/07/17/new_algorithms_boost_ai_perf/ Source: The Register Title: Boffins detail new algorithms to losslessly boost AI perf by up to 2.8x Feedly Summary: New spin on speculative decoding works with any model – now built into Transformers We all know that AI is expensive, but a new set of algorithms developed by researchers at the Weizmann…

  • The Register: German team warns ChatGPT is changing how you talk

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/07/15/chatgpt_changes_language/ Source: The Register Title: German team warns ChatGPT is changing how you talk Feedly Summary: Let us delve swiftly into meticulous inquiry with our AI masters Like it or not, ChatGPT and other large language models are changing the world, including affecting how we speak, claims a group of researchers, and the…

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

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    Kurt Seifried
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    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,…

  • Anchore: Beyond Software Dependencies: The Data Supply Chain Security Challenge of AI-Native Applications

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    Kurt Seifried
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    Source URL: https://anchore.com/blog/beyond-software-dependencies-the-data-supply-chain-security-challenge-of-ai-native-applications/ Source: Anchore Title: Beyond Software Dependencies: The Data Supply Chain Security Challenge of AI-Native Applications Feedly Summary: Just as the open source software revolution fundamentally transformed software development in the 2000s—bringing massive productivity gains alongside unprecedented supply chain complexity—we’re witnessing history repeat itself with Large Language Models (LLMs). The same pattern that…

  • Krebs on Security: DOGE Denizen Marko Elez Leaked API Key for xAI

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    Kurt Seifried
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    Source URL: https://krebsonsecurity.com/2025/07/doge-denizen-marko-elez-leaked-api-key-for-xai/ Source: Krebs on Security Title: DOGE Denizen Marko Elez Leaked API Key for xAI Feedly Summary: Marko Elez, a 25-year-old employee at Elon Musk’s Department of Government Efficiency (DOGE), has been granted access to sensitive databases at the U.S. Social Security Administration, the Treasury and Justice departments, and the Department of Homeland…

  • Docker: AI-Powered Testing: Using Docker Model Runner with Microcks for Dynamic Mock APIs

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/ai-powered-mock-apis-for-testing-with-docker-and-microcks/ Source: Docker Title: AI-Powered Testing: Using Docker Model Runner with Microcks for Dynamic Mock APIs Feedly Summary: The non-deterministic nature of LLMs makes them ideal for generating dynamic, rich test data, perfect for validating app behavior and ensuring consistent, high-quality user experiences. Today, we’ll walk you through how to use Docker’s Model…

  • Simon Willison’s Weblog: moonshotai/Kimi-K2-Instruct

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/11/kimi-k2/#atom-everything Source: Simon Willison’s Weblog Title: moonshotai/Kimi-K2-Instruct Feedly Summary: moonshotai/Kimi-K2-Instruct Colossal new open weights model release today from Moonshot AI, a two year old Chinese AI lab with a name inspired by Pink Floyd’s album The Dark Side of the Moon. My HuggingFace storage calculator says the repository is 958.52 GB. It’s a…

  • 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…