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Tag: trust in AI

  • Simon Willison’s Weblog: Note on 14th April 2025

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/14/believe/ Source: Simon Willison’s Weblog Title: Note on 14th April 2025 Feedly Summary: Believing AI vendors who promise you that they won’t train on your data is a huge competitive advantage these days. Tags: llms, generative-ai, ai AI Summary and Description: Yes Summary: The assertion regarding AI vendors’ claims about not training on…

  • Slashdot: Meta Says Llama 4 Targets Left-Leaning Bias

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/04/10/1628209/meta-says-llama-4-targets-left-leaning-bias?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta Says Llama 4 Targets Left-Leaning Bias Feedly Summary: AI Summary and Description: Yes Summary: Meta’s announcement regarding the Llama 4 AI model focuses on addressing political bias, particularly “left-leaning” tendencies, a significant evolution in the discourse surrounding AI bias, previously centered on race, gender, and nationality. Detailed Description:…

  • The Register: Meta accused of Llama 4 bait-and-switch to juice AI benchmark rank

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/04/08/meta_llama4_cheating/ Source: The Register Title: Meta accused of Llama 4 bait-and-switch to juice AI benchmark rank Feedly Summary: Did Facebook giant rizz up LLM to win over human voters? It appears so Meta submitted a specially crafted, non-public variant of its Llama 4 AI model to an online benchmark that may have unfairly…

  • OpenAI : OpenAI’s EU Economic Blueprint

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    Kurt Seifried
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    Source URL: https://openai.com/global-affairs/openais-eu-economic-blueprint Source: OpenAI Title: OpenAI’s EU Economic Blueprint Feedly Summary: Today, OpenAI is sharing the EU Economic Blueprint—a set of proposals to help Europe seize the promise of artificial intelligence, drive sustainable economic growth across the region, and ensure that AI is developed and deployed by Europe, in Europe, for Europe. AI Summary…

  • Google Online Security Blog: Taming the Wild West of ML: Practical Model Signing with Sigstore

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    Kurt Seifried
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    Source URL: http://security.googleblog.com/2025/04/taming-wild-west-of-ml-practical-model.html Source: Google Online Security Blog Title: Taming the Wild West of ML: Practical Model Signing with Sigstore Feedly Summary: AI Summary and Description: Yes Summary: The text announces the launch of a model signing library developed by the Google Open Source Security Team in collaboration with NVIDIA and HiddenLayer, aimed at enhancing…

  • OpenAI : PaperBench: Evaluating AI’s Ability to Replicate AI Research

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    Kurt Seifried
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    Source URL: https://openai.com/index/paperbench Source: OpenAI Title: PaperBench: Evaluating AI’s Ability to Replicate AI Research Feedly Summary: We introduce PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research. AI Summary and Description: Yes Summary: The text introduces PaperBench, a benchmark aimed at assessing the capability of AI agents to replicate cutting-edge…

  • Hacker News: Instella: New Open 3B Language Models

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    Kurt Seifried
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    Source URL: https://rocm.blogs.amd.com/artificial-intelligence/introducing-instella-3B/README.html Source: Hacker News Title: Instella: New Open 3B Language Models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces the Instella family of 3-billion-parameter language models developed by AMD, highlighting their capabilities, benchmarks, and the significance of their fully open-source nature. This release is notable for professionals in AI…

  • Hacker News: Show HN: Formal Verification for Machine Learning Models Using Lean 4

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    Kurt Seifried
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    Source URL: https://github.com/fraware/leanverifier Source: Hacker News Title: Show HN: Formal Verification for Machine Learning Models Using Lean 4 Feedly Summary: Comments AI Summary and Description: Yes Summary: The project focuses on the formal verification of machine learning models using the Lean 4 framework, targeting aspects like robustness, fairness, and interpretability. This framework is particularly relevant…