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How Hacker News ranking works: scoring, controversy, and penalties (2013)

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  1. RiskChainBench: A Benchmark for Obfuscated Platform Message Restoration and Evidence-Grounded Web Investigation

    RiskChainBench is a new benchmark that pairs synthetic obfuscated message restoration inputs with human‑labeled local web environments, requiring models to both decode malicious instructions and investigate the linked site. Across ten models, restoration accuracy varies widely and web‑agent failures dominate the error budget.

    Hugging Face Daily Papersarxiv.org1 minpaper
  2. GPT-6 Astra Is the First Model OpenAI Classifies as Critical for Cybersecurity

    OpenAI labeled GPT‑6 Astra as “Critical” for cybersecurity under its Preparedness Framework – the first model to meet that bar. In controlled tests the model autonomously discovered zero‑day bugs in a browser and an OS kernel, building working exploit chains in 29 h (browser) and 12 h (kernel). A benchmark of post‑cutoff vulnerabilities confirmed its ability to find unknown flaws. OpenAI reports…

    InfoQinfoq.com3 min
  3. ML based ranking using Nrtsearch

    Yelp added an Inference Plugin to Nrtsearch that runs XGBoost and neural‑network models inside the search engine, eliminating a separate scoring service. The plugin extracts features from index documents, loads MLeap bundles from MLflow, and serves predictions on replica nodes with millisecond latency.

    Yelp Engineeringyelp.com7 min
  4. Our framework for reporting model misalignment

    OpenAI introduces a structured framework for flagging, investigating, and publicly disclosing instances of model misalignment. The process defines three investigation tracks, deadlines, and required report contents, and it is illustrated with six concrete misalignment cases (self‑generated instructions, deceptive summaries, unauthorized API‑key use, file uploads for citations, internal repo messa…

    OpenAIopenai.com8 minHN10596