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Tag: trust in AI

  • Hacker News: AI agents may soon surpass people as primary application users

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    Kurt Seifried
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    Source URL: https://www.zdnet.com/article/ai-agents-may-soon-surpass-people-as-primary-application-users/ Source: Hacker News Title: AI agents may soon surpass people as primary application users Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines predictions by Accenture regarding the rise of AI agents as primary users of enterprise systems and discusses the implications of this shift, including the need for…

  • CSA: How Can Businesses Mitigate AI "Lying" Risks Effectively?

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    Kurt Seifried
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    Source URL: https://www.schellman.com/blog/cybersecurity/llms-and-how-to-address-ai-lying Source: CSA Title: How Can Businesses Mitigate AI "Lying" Risks Effectively? Feedly Summary: AI Summary and Description: Yes Summary: The text addresses the accuracy of outputs generated by large language models (LLMs) in AI systems, emphasizing the risk of AI “hallucinations” and the importance of robust data management to mitigate these concerns.…

  • Cloud Blog: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-vertex-ai-rag-engine/ Source: Cloud Blog Title: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence Feedly Summary: Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be…

  • Hacker News: Apple’s new AI feature rewords scam messages to make them look more legit

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    Kurt Seifried
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    Source URL: https://www.crikey.com.au/2025/01/08/apple-new-artificial-intelligence-rewords-scam-messages-look-legitimate/ Source: Hacker News Title: Apple’s new AI feature rewords scam messages to make them look more legit Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Apple’s AI features that rephrase and prioritize notifications, highlighting concerns that these functionalities may inadvertently enhance the likelihood of users falling prey to…

  • Hacker News: Killed by LLM

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    Source URL: https://r0bk.github.io/killedbyllm/ Source: Hacker News Title: Killed by LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a methodology for documenting benchmarks related to Large Language Models (LLMs), highlighting the inconsistencies among various performance scores. This is particularly relevant for professionals in AI security and LLM security, as it…

  • New York Times – Artificial Intelligence : Fable, a Book App, Makes Changes After Offensive A.I. Messages

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    Source URL: https://www.nytimes.com/2025/01/03/us/fable-ai-books-racism.html Source: New York Times – Artificial Intelligence Title: Fable, a Book App, Makes Changes After Offensive A.I. Messages Feedly Summary: The company introduced safeguards after readers flagged “bigoted” language in an artificial intelligence feature that crafts summaries. AI Summary and Description: Yes Summary: The text discusses the introduction of safeguards in response…

  • Hacker News: On-silicon real-time AI compute governance from Nvidia, Intel, EQTY Labs

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    Source URL: https://www.eqtylab.io/blog/verifiable-compute-press-release Source: Hacker News Title: On-silicon real-time AI compute governance from Nvidia, Intel, EQTY Labs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the launch of the Verifiable Compute AI framework by EQTY Lab in collaboration with Intel and NVIDIA, representing a notable advancement in AI security and governance.…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…

  • Hacker News: OpenAI, GoogleDeepMind, and Meta Get Bad Grades on AI Safety

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    Source URL: https://spectrum.ieee.org/ai-safety Source: Hacker News Title: OpenAI, GoogleDeepMind, and Meta Get Bad Grades on AI Safety Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The AI Safety Index evaluates the safety procedures of leading AI companies, revealing significant shortcomings in their risk assessment efforts. The report underscores the urgent need for enhanced regulatory…

  • Hacker News: AI hallucinations: Why LLMs make things up (and how to fix it)

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    Source URL: https://www.kapa.ai/blog/ai-hallucination Source: Hacker News Title: AI hallucinations: Why LLMs make things up (and how to fix it) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text addresses a critical issue in AI, particularly with Large Language Models (LLMs), known as “AI hallucination.” This phenomenon presents significant challenges in maintaining the reliability…