Experimental News Clipping Site

Tag: trustworthiness

  • Embrace The Red: Hacking Gemini’s Memory with Prompt Injection and Delayed Tool Invocation

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    Kurt Seifried
    in

    Source URL: https://embracethered.com/blog/posts/2025/gemini-memory-persistence-prompt-injection/ Source: Embrace The Red Title: Hacking Gemini’s Memory with Prompt Injection and Delayed Tool Invocation Feedly Summary: Imagine your AI rewriting your personal history… A while ago Google added memories to Gemini. Memories allow Gemini to store user-related data across sessions, storing information in long-term memory. The feature is only available to…

  • The Register: India wants all banking to happen at dedicated bank.in domain

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/10/india_bank_dotin_plan/ Source: The Register Title: India wants all banking to happen at dedicated bank.in domain Feedly Summary: With over 2,000 banks in operation, the potential to make life harder for fraudsters is obvious India’s Reserve Bank last week announced a plan to use adopt dedicated second-level domains – bank.in and fin.in – in…

  • CSA: Can GenAI Services Be Trusted?

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/01/29/can-genai-services-be-trusted-at-the-discovery-of-star-for-ai Source: CSA Title: Can GenAI Services Be Trusted? Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the challenges of trust and governance in the context of Generative AI (GenAI) services, drawing parallels to the early days of cloud computing. The Cloud Security Alliance (CSA) is launching the STAR for…

  • NCSC Feed: Preserving integrity in the age of generative AI

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    Kurt Seifried
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    Source URL: https://www.ncsc.gov.uk/blog-post/preserving-integrity-in-age-generative-ai Source: NCSC Feed Title: Preserving integrity in the age of generative AI Feedly Summary: New ‘Content Credentials’ guidance from the NSA seeks to counter the erosion of trust. AI Summary and Description: Yes Summary: The text discusses the challenges posed by AI technologies in establishing trustworthiness of online content due to the…

  • The Cloudflare Blog: Over 700 million events/second: How we make sense of too much data

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    Kurt Seifried
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    Source URL: https://blog.cloudflare.com/how-we-make-sense-of-too-much-data/ Source: The Cloudflare Blog Title: Over 700 million events/second: How we make sense of too much data Feedly Summary: Here we explain how we made our data pipeline scale to 700 million events per second while becoming more resilient than ever before. We share some math behind our approach and some of…

  • Wired: DeepSeek vs. ChatGPT: Hands On With DeepSeek’s R1 Chatbot

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/deepseek-chatbot-hands-on-vs-chatgpt/ Source: Wired Title: DeepSeek vs. ChatGPT: Hands On With DeepSeek’s R1 Chatbot Feedly Summary: DeekSeek’s chatbot with the R1 model is a stunning release from the Chinese startup. While it’s an innovation in training efficiency, hallucinations still run rampant. AI Summary and Description: Yes **Summary:** The emergence of DeepSeek’s AI chatbot, which…

  • Cloud Blog: How we’re making GKE more transparent with supply-chain attestation and SLSA

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/how-were-making-gke-more-secure-with-supply-chain-attestation-and-slsa/ Source: Cloud Blog Title: How we’re making GKE more transparent with supply-chain attestation and SLSA Feedly Summary: What goes into your Kubernetes software? Understanding the origin of the software components you deploy is crucial for mitigating risks and ensuring the trustworthiness of your applications. To do this, you need to know your…

  • Hacker News: Citations on the Anthropic API

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    Kurt Seifried
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    Source URL: https://www.anthropic.com/news/introducing-citations-api Source: Hacker News Title: Citations on the Anthropic API Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new API feature called Citations for Claude, which enhances trustworthiness by providing detailed references to the sources of AI-generated responses. This capability addresses previous challenges in verifying AI outputs and…

  • Slashdot: AI Mistakes Are Very Different from Human Mistakes

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/23/1645242/ai-mistakes-are-very-different-from-human-mistakes?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Mistakes Are Very Different from Human Mistakes Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the unpredictable nature of errors made by AI systems, particularly large language models (LLMs). It highlights the inconsistency and confidence with which LLMs produce incorrect results, suggesting that this impacts…

  • OpenAI : Trading inference-time compute for adversarial robustness

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    Kurt Seifried
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    Source URL: https://openai.com/index/trading-inference-time-compute-for-adversarial-robustness Source: OpenAI Title: Trading inference-time compute for adversarial robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness AI Summary and Description: Yes Summary: The text explores the trade-offs between inference-time computing demands and adversarial robustness within AI systems, particularly relevant in the context of machine learning and AI security. This topic holds…