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Tag: evaluation

  • Slashdot: Google Shifts Android Security Updates To Risk-Based Triage System

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    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/09/15/1444225/google-shifts-android-security-updates-to-risk-based-triage-system?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Shifts Android Security Updates To Risk-Based Triage System Feedly Summary: AI Summary and Description: Yes Summary: Google has initiated a significant alteration in its Android security update strategy by introducing a “Risk-Based Update System.” This system prioritizes high-risk vulnerabilities for immediate attention while deferring routine fixes, which may…

  • Slashdot: Apple Claims ‘Most Significant Upgrade to Memory Safety’ in OS History

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    Kurt Seifried
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    Source URL: https://apple.slashdot.org/story/25/09/14/228211/apple-claims-most-significant-upgrade-to-memory-safety-in-os-history?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple Claims ‘Most Significant Upgrade to Memory Safety’ in OS History Feedly Summary: AI Summary and Description: Yes Summary: Apple has introduced a groundbreaking security feature called Memory Integrity Enforcement (MIE) in its latest devices, which significantly enhances memory safety and aims to defend against sophisticated spyware attacks. This…

  • AWS Open Source Blog: Strands Agents and the Model-Driven Approach

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/ Source: AWS Open Source Blog Title: Strands Agents and the Model-Driven Approach Feedly Summary: Until recently, building AI agents meant wrestling with complex orchestration frameworks. Developers wrote elaborate state machines, predefined workflows, and extensive error-handling code to guide language models through multi-step tasks. We needed to build elaborate decision trees to handle…

  • The Register: Anthropic’s Claude Code runs code to test it if is safe – which might be a big mistake

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/09/09/ai_security_review_risks/ Source: The Register Title: Anthropic’s Claude Code runs code to test it if is safe – which might be a big mistake Feedly Summary: AI security reviews add new risks, say researchers App security outfit Checkmarx says automated reviews in Anthropic’s Claude Code can catch some bugs but miss others – and…

  • Simon Willison’s Weblog: Quoting James Luan

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/8/james-luan/ Source: Simon Willison’s Weblog Title: Quoting James Luan Feedly Summary: I recently spoke with the CTO of a popular AI note-taking app who told me something surprising: they spend twice as much on vector search as they do on OpenAI API calls. Think about that for a second. Running the retrieval layer…

  • Slashdot: Mathematicians Find GPT-5 Makes Critical Errors in Original Proof Generation

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    Kurt Seifried
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    Source URL: https://science.slashdot.org/story/25/09/08/165206/mathematicians-find-gpt-5-makes-critical-errors-in-original-proof-generation?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Mathematicians Find GPT-5 Makes Critical Errors in Original Proof Generation Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a study by University of Luxembourg mathematicians that evaluated the capabilities of GPT-5 in extending a qualitative mathematical theorem. The findings revealed significant shortcomings of the AI, particularly…

  • Wired: Psychological Tricks Can Get AI to Break the Rules

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    Kurt Seifried
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    Source URL: https://arstechnica.com/science/2025/09/these-psychological-tricks-can-get-llms-to-respond-to-forbidden-prompts/ Source: Wired Title: Psychological Tricks Can Get AI to Break the Rules Feedly Summary: Researchers convinced large language model chatbots to comply with “forbidden” requests using a variety of conversational tactics. AI Summary and Description: Yes Summary: The text discusses researchers’ exploration of conversational tactics used to manipulate large language model (LLM)…

  • OpenAI : Why language models hallucinate

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    Kurt Seifried
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    Source URL: https://openai.com/index/why-language-models-hallucinate Source: OpenAI Title: Why language models hallucinate Feedly Summary: OpenAI’s new research explains why language models hallucinate. The findings show how improved evaluations can enhance AI reliability, honesty, and safety. AI Summary and Description: Yes Summary: The text discusses OpenAI’s research on the phenomenon of hallucination in language models, offering insights into…