Experimental News Clipping Site

Tag: Excel

  • Cloud Blog: Your Single-Page Applications Are Vulnerable: Here’s How to Fix Them

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/single-page-applications-vulnerable/ Source: Cloud Blog Title: Your Single-Page Applications Are Vulnerable: Here’s How to Fix Them Feedly Summary: Written by: Steven Karschnia, Truman Brown, Jacob Paullus, Daniel McNamara Executive Summary Due to their client-side nature, single-page applications (SPAs) will typically have multiple access control vulnerabilities By implementing a robust access control policy on supporting APIs,…

  • The Register: Microsoft fixes under-attack privilege-escalation holes in Hyper-V

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/15/patch_tuesday_january_2025/ Source: The Register Title: Microsoft fixes under-attack privilege-escalation holes in Hyper-V Feedly Summary: Plus: Excel hell, angst for Adobe fans, and life’s too Snort for Cisco Patch Tuesday The first Patch Tuesday of 2025 has seen Microsoft address three under-attack privilege-escalation flaws in its Hyper-V hypervisor, plus plenty more problems that deserve…

  • 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: WorstFit: Unveiling Hidden Transformers in Windows ANSI

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    Kurt Seifried
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    Source URL: https://blog.orange.tw/posts/2025-01-worstfit-unveiling-hidden-transformers-in-windows-ansi/ Source: Hacker News Title: WorstFit: Unveiling Hidden Transformers in Windows ANSI Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel security vulnerability termed “WorstFit” that exploits Microsoft Windows’ character encoding and conversion mechanisms, particularly its Best-Fit behavior, leading to various forms of attacks including Remote Code Execution…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…

  • Hacker News: DeepSeek-VL2: MoE Vision-Language Models for Advanced Multimodal Understanding

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    system automation
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    Source URL: https://github.com/deepseek-ai/DeepSeek-VL2 Source: Hacker News Title: DeepSeek-VL2: MoE Vision-Language Models for Advanced Multimodal Understanding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces DeepSeek-VL2, a series of advanced Vision-Language Models designed to improve multimodal understanding. With competitive performance across various tasks, these models leverage a Mixture-of-Experts architecture for efficiency. This is…

  • Simon Willison’s Weblog: Things we learned out about LLMs in 2024

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/#atom-everything Source: Simon Willison’s Weblog Title: Things we learned out about LLMs in 2024 Feedly Summary: A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying…

  • Hacker News: Performance of LLMs on Advent of Code 2024

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    system automation
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    Source URL: https://www.jerpint.io/blog/advent-of-code-llms/ Source: Hacker News Title: Performance of LLMs on Advent of Code 2024 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an experiment evaluating the performance of Large Language Models (LLMs) during the Advent of Code 2024 challenge, revealing that LLMs did not perform as well as expected. The…

  • Slashdot: Google CEO Warns of High Stakes in 2025 AI Race

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    system automation
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    Source URL: https://tech.slashdot.org/story/24/12/30/1113226/google-ceo-warns-of-high-stakes-in-2025-ai-race?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google CEO Warns of High Stakes in 2025 AI Race Feedly Summary: AI Summary and Description: Yes Summary: Google CEO Sundar Pichai emphasizes the urgent need for the company to enhance its AI capabilities to compete effectively, particularly in light of growing regulatory scrutiny and the rapid advancement of…

  • Hacker News: Can LLMs Accurately Recall the Bible

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    system automation
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    Source URL: https://benkaiser.dev/can-llms-accurately-recall-the-bible/ Source: Hacker News Title: Can LLMs Accurately Recall the Bible Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an evaluation of Large Language Models (LLMs) regarding their ability to accurately recall Bible verses. The analysis reveals significant differences in accuracy based on model size and parameter count, highlighting…