Cloud Security Alliance News Clipping Site

Tag: trustworthiness

  • Hacker News: Trust Rules Everything Around Me

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    Source URL: https://scottarc.blog/2024/10/14/trust-rules-everything-around-me/ Source: Hacker News Title: Trust Rules Everything Around Me Feedly Summary: Comments AI Summary and Description: Yes Summary: The text dives into concerns around governance, trust, and security within the WordPress community, particularly in light of recent controversies involving Matt Mullenweg. It addresses critical vulnerabilities tied to decision-making power and proposes cryptographic…

  • Slashdot: Study Done By Apple AI Scientists Proves LLMs Have No Ability to Reason

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    Source URL: https://apple.slashdot.org/story/24/10/13/2145256/study-done-by-apple-ai-scientists-proves-llms-have-no-ability-to-reason?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Study Done By Apple AI Scientists Proves LLMs Have No Ability to Reason Feedly Summary: AI Summary and Description: Yes Summary: A recent study by Apple’s AI scientists reveals significant weaknesses in the reasoning capabilities of large language models (LLMs), such as those developed by OpenAI and Meta. The…

  • Hacker News: INTELLECT–1: Launching the First Decentralized Training of a 10B Parameter Model

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    Source URL: https://www.primeintellect.ai/blog/intellect-1 Source: Hacker News Title: INTELLECT–1: Launching the First Decentralized Training of a 10B Parameter Model Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of INTELLECT-1, a pioneering initiative for decentralized training of a large AI model with 10 billion parameters. It highlights the use of the…

  • Hacker News: Grounding AI in reality with a little help from Data Commons

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    Source URL: http://research.google/blog/grounding-ai-in-reality-with-a-little-help-from-data-commons/ Source: Hacker News Title: Grounding AI in reality with a little help from Data Commons Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenge of hallucinations in Large Language Models (LLMs) and introduces DataGemma, an innovative approach that grounds LLM responses in real-world statistical data from Google’s…

  • Scott Logic: LLMs don’t ‘hallucinate’

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    Source URL: https://blog.scottlogic.com/2024/09/10/llms-dont-hallucinate.html Source: Scott Logic Title: LLMs don’t ‘hallucinate’ Feedly Summary: Describing LLMs as ‘hallucinating’ fundamentally distorts how LLMs work. We can do better. AI Summary and Description: Yes Summary: The text critically explores the phenomenon known as “hallucination” in large language models (LLMs), arguing that the term is misleading and fails to accurately…

  • Simon Willison’s Weblog: Quoting Arvind Narayanan and Sayash Kapoor

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    Source URL: https://simonwillison.net/2024/Aug/19/arvind-narayanan-and-sayash-kapoor/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Arvind Narayanan and Sayash Kapoor Feedly Summary: With statistical learning based systems, perfect accuracy is intrinsically hard to achieve. If you think about the success stories of machine learning, like ad targeting or fraud detection or, more recently, weather forecasting, perfect accuracy isn’t the goal —…