Tag: made

  • Slashdot: Pro-AI Subreddit Bans ‘Uptick’ of Users Who Suffer From AI Delusions

    Source URL: https://tech.slashdot.org/story/25/06/02/2156253/pro-ai-subreddit-bans-uptick-of-users-who-suffer-from-ai-delusions?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Pro-AI Subreddit Bans ‘Uptick’ of Users Who Suffer From AI Delusions Feedly Summary: AI Summary and Description: Yes Summary: The text highlights a concerning phenomenon where users in a pro-AI Reddit community are being banned for projecting grandiose beliefs about AI, particularly due to the influence of large language…

  • Simon Willison’s Weblog: How often do LLMs snitch? Recreating Theo’s SnitchBench with LLM

    Source URL: https://simonwillison.net/2025/May/31/snitchbench-with-llm/#atom-everything Source: Simon Willison’s Weblog Title: How often do LLMs snitch? Recreating Theo’s SnitchBench with LLM Feedly Summary: A fun new benchmark just dropped! Inspired by the Claude 4 system card – which showed that Claude 4 might just rat you out to the authorities if you told it to “take initiative" in…

  • Simon Willison’s Weblog: deepseek-ai/DeepSeek-R1-0528

    Source URL: https://simonwillison.net/2025/May/31/deepseek-aideepseek-r1-0528/ Source: Simon Willison’s Weblog Title: deepseek-ai/DeepSeek-R1-0528 Feedly Summary: deepseek-ai/DeepSeek-R1-0528 Sadly the trend for terrible naming of models has infested the Chinese AI labs as well. DeepSeek-R1-0528 is a brand new and much improved open weights reasoning model from DeepSeek, a major step up from the DeepSeek R1 they released back in January.…

  • Slashdot: Developer Builds Tool That Scrapes YouTube Comments, Uses AI To Predict Where Users Live

    Source URL: https://yro.slashdot.org/story/25/05/30/2133227/developer-builds-tool-that-scrapes-youtube-comments-uses-ai-to-predict-where-users-live?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Developer Builds Tool That Scrapes YouTube Comments, Uses AI To Predict Where Users Live Feedly Summary: AI Summary and Description: Yes Summary: The emergence of YouTube-Tools poses significant privacy risks as it enables users to track and profile YouTube commenters based on their historical comments and activity. This tool…

  • Simon Willison’s Weblog: Talking AI and jobs with Natasha Zouves for News Nation

    Source URL: https://simonwillison.net/2025/May/30/ai-and-jobs-with-natasha-zouves/#atom-everything Source: Simon Willison’s Weblog Title: Talking AI and jobs with Natasha Zouves for News Nation Feedly Summary: I was interviewed by News Nation’s Natasha Zouves about the very complicated topic of how we should think about AI in terms of threatening our jobs and careers. I previously talked with Natasha two years…

  • Cloud Blog: Google I/O 2025: Innovation that drives mission impact

    Source URL: https://cloud.google.com/blog/topics/public-sector/google-io-2025-innovation-that-drives-mission-impact/ Source: Cloud Blog Title: Google I/O 2025: Innovation that drives mission impact Feedly Summary: At Google I/O 2025 we unveiled a suite of groundbreaking AI advancements, signaling a new frontier in how technology will empower organizations everywhere. The new era of innovation is here. Over the two day event, Google showcased everything…

  • The Register: 8,000+ Asus routers popped in ‘advanced’ mystery botnet plot

    Source URL: https://www.theregister.com/2025/05/29/8000_asus_routers_popped_in/ Source: The Register Title: 8,000+ Asus routers popped in ‘advanced’ mystery botnet plot Feedly Summary: No formal attribution made but two separate probes hint at the same suspect Thousands of Asus routers are currently ensnared by a new botnet that is trying to disable Trend Micro security features before exploiting vulnerabilities for…

  • Anchore: False Positives and False Negatives in Vulnerability Scanning: Lessons from the Trenches

    Source URL: https://anchore.com/blog/false-positives-and-false-negatives-in-vulnerability-scanning/ Source: Anchore Title: False Positives and False Negatives in Vulnerability Scanning: Lessons from the Trenches Feedly Summary: When Good Scanners Flag Bad Results Imagine this: Friday afternoon, your deployment pipeline runs smoothly, tests pass, and you’re ready to push that new release to production. Then suddenly: BEEP BEEP BEEP – your vulnerability…