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  • All (2571) +248
    • AI (578) +19
    • DevOps (150) +2
    • Software (1091) +156
    • IT (746) +70
    • Education (6) +1
  • Notice
  • All (2571) +248
  • AI (578) +19
  • DevOps (150) +2
  • Software (1091) +156
  • IT (746) +70
  • Education (6) +1
  • Notice
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  • 3 days ago · ai

    Sycophancy is the first LLM 'dark pattern'

    Article URL: https://www.seangoedecke.com/ai-sycophancy/ Comments URL: https://news.ycombinator.com/item?id=46112640 Points: 62 Comments: 35...

    #LLM #sycophancy #dark patterns #AI safety #prompt engineering
  • 3 days ago · ai

    The Problem with AI Browsers: Security Flaws and the End of Privacy

    How Atlas and most current AI-powered browsers fail on three aspects: privacy, security, and censorship The post The Problem with AI Browsers: Security Flaws an...

    #AI browsers #privacy #security #censorship #AI safety #web browsing
  • 4 days ago · ai

    Why AI Alignment Starts With Better Evaluation

    You can’t align what you don’t evaluate The post Why AI Alignment Starts With Better Evaluation appeared first on Towards Data Science....

    #AI alignment #evaluation #AI safety #machine learning #LLM
  • 4 days ago · ai

    Funding grants for new research into AI and mental health

    OpenAI is awarding up to $2 million in grants for research at the intersection of AI and mental health. The program supports projects that study real-world risk...

    #OpenAI #AI research grants #mental health #AI safety #healthcare AI #funding
  • 1 week ago · ai

    [Paper] EvilGenie: A Reward Hacking Benchmark

    We introduce EvilGenie, a benchmark for reward hacking in programming settings. We source problems from LiveCodeBench and create an environment in which agents ...

    #reward hacking #code generation #benchmark #LLM evaluation #AI safety
  • 1 week ago · ai

    [Paper] A Unified Understanding of Offline Data Selection and Online Self-refining Generation for Post-training LLMs

    Offline data selection and online self-refining generation, which enhance the data quality, are crucial steps in adapting large language models (LLMs) to specif...

    #LLM fine-tuning #bilevel optimization #data selection #self-refining generation #AI safety

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