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  1. Apr 2026
  2. www.understandingai.org www.understandingai.org
    https://www.understandingai.org/p/why-anthropic-believes-its-latest
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    1. fxp007 16 Apr 2026
      Anthropic found that Mythos Preview was far more capable than previous models at exploiting vulnerabilities in Firefox's JavaScript implementation. Anthropic's previous best model, Claude Opus 4.6, created a successful exploit less than 1% of the time. Mythos Preview did so 72% of the time.

      令人惊讶的是：Claude Mythos Preview在利用Firefox漏洞方面的成功率从Opus 4.6的不到1%跃升至72%，这种能力提升是指数级的，展示了AI在网络安全攻防领域可能带来的革命性变化。

      surprising ai-exploitation cybersecurity fun-fact
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  3. Sep 2020
  4. psyarxiv.com psyarxiv.com
    Unifying recommendation and active learning for information filtering and recommender systems
    1
    1. katietaylor_99 07 Sep 2020

      Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.

      is:preprint lang:en active learning information filtering recommender system algorithms Internet AI artificial intelligence machine learning predictive accuracy recommendation accuracy exploration-exploitation tradeoff parameterized model cognitive science computer science experimental approach
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    psyarxiv.com/jqa83/