Cloud Security Alliance News Clipping Site

Tag: sensitive applications

  • Simon Willison’s Weblog: Quoting Anthropic

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    Source URL: https://simonwillison.net/2024/Oct/22/anthropic/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Anthropic Feedly Summary: For the same cost and similar speed to Claude 3 Haiku, Claude 3.5 Haiku improves across every skill set and surpasses even Claude 3 Opus, the largest model in our previous generation, on many intelligence benchmarks. Claude 3.5 Haiku is particularly strong on…

  • Hacker News: Brazil Arrests ‘USDoD’ Hacker in FBI Infragard Breach

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    Source URL: https://krebsonsecurity.com/2024/10/brazil-arrests-usdod-hacker-in-fbi-infragard-breach/ Source: Hacker News Title: Brazil Arrests ‘USDoD’ Hacker in FBI Infragard Breach Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the arrest of a notorious cybercriminal known as “USDoD,” highlighting his previous illicit activities, including infiltrating the FBI’s InfraGard program and leaking vast amounts of personal data. This…

  • Hacker News: I Self-Hosted Llama 3.2 with Coolify on My Home Server: A Step-by-Step Guide

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    Source URL: https://geek.sg/blog/how-i-self-hosted-llama-32-with-coolify-on-my-home-server-a-step-by-step-guide Source: Hacker News Title: I Self-Hosted Llama 3.2 with Coolify on My Home Server: A Step-by-Step Guide Feedly Summary: Comments AI Summary and Description: Yes Summary: The text details the process of setting up an AI environment using Llama 3.2 on a self-hosted VPS with a focus on enabling GPU acceleration. This…

  • Slashdot: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities

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    Source URL: https://apple.slashdot.org/story/24/10/15/1840242/apple-study-reveals-critical-flaws-in-ais-logical-reasoning-abilities?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities Feedly Summary: AI Summary and Description: Yes Summary: Apple’s AI research team identifies critical weaknesses in large language models’ reasoning capabilities, highlighting issues with logical consistency and performance variability due to question phrasing. This research underlines the potential reliability…