Experimental News Clipping Site

Tag: benchmark

  • Anchore: Sabel Systems Leverages Anchore SBOM and SECURE to Scale Compliance While Reducing Vulnerability Review Time by 75%

    —

    by

    Kurt Seifried
    in

    Source URL: https://anchore.com/case-studies/sabel-systems-leverages-anchore-sbom-and-secure-to-scale-compliance-while-reducing-vulnerability-review-time-by-75/ Source: Anchore Title: Sabel Systems Leverages Anchore SBOM and SECURE to Scale Compliance While Reducing Vulnerability Review Time by 75% Feedly Summary: The post Sabel Systems Leverages Anchore SBOM and SECURE to Scale Compliance While Reducing Vulnerability Review Time by 75% appeared first on Anchore. AI Summary and Description: Yes Summary: The…

  • Slashdot: Boffins Build Automated Android Bug Hunting System

    —

    by

    Kurt Seifried
    in

    Source URL: https://it.slashdot.org/story/25/09/05/196218/boffins-build-automated-android-bug-hunting-system?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Boffins Build Automated Android Bug Hunting System Feedly Summary: AI Summary and Description: Yes Summary: The text discusses an innovative AI-powered bug-hunting agent called A2, developed by researchers from Nanjing University and the University of Sydney. This agent aims to enhance vulnerability discovery in Android apps, achieving significantly higher…

  • Slashdot: Vivaldi Browser Doubles Down On Gen AI Ban

    —

    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/08/29/217243/vivaldi-browser-doubles-down-on-gen-ai-ban Source: Slashdot Title: Vivaldi Browser Doubles Down On Gen AI Ban Feedly Summary: AI Summary and Description: Yes Summary: Vivaldi CEO Jon von Tetzchner emphasizes the company’s stance against integrating generative AI into its browser, arguing that such technologies can dehumanize the web, detract from content creators, and prioritize user data collection…

  • Slashdot: One Long Sentence is All It Takes To Make LLMs Misbehave

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/08/27/1756253/one-long-sentence-is-all-it-takes-to-make-llms-misbehave?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: One Long Sentence is All It Takes To Make LLMs Misbehave Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant security research finding from Palo Alto Networks’ Unit 42 regarding vulnerabilities in large language models (LLMs). The researchers explored methods that allow users to bypass…

  • The Cloudflare Blog: How we built the most efficient inference engine for Cloudflare’s network

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/cloudflares-most-efficient-ai-inference-engine/ Source: The Cloudflare Blog Title: How we built the most efficient inference engine for Cloudflare’s network Feedly Summary: Infire is an LLM inference engine that employs a range of techniques to maximize resource utilization, allowing us to serve AI models more efficiently with better performance for Cloudflare workloads. AI Summary and Description:…

  • The Register: Search-capable AI agents may cheat on benchmark tests

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/08/23/searchcapable_ai_agents_may_cheat/ Source: The Register Title: Search-capable AI agents may cheat on benchmark tests Feedly Summary: Data contamination can make models seem more capable than they really are Researchers with Scale AI have found that search-based AI models may cheat on benchmark tests by fetching the answers directly from online sources rather than deriving…

  • Simon Willison’s Weblog: DeepSeek 3.1

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/22/deepseek-31/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek 3.1 Feedly Summary: DeepSeek 3.1 The latest model from DeepSeek, a 685B monster (like DeepSeek v3 before it) but this time it’s a hybrid reasoning model. DeepSeek claim: DeepSeek-V3.1-Think achieves comparable answer quality to DeepSeek-R1-0528, while responding more quickly. Drew Breunig points out that their benchmarks…