Tag: AI safety

  • The Echo Chamber in Your Pocket

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    Ng Chong

    Two papers from MIT and Stanford now offer formal proof of what many suspected: sycophantic AI is not merely annoying. It is systematically eroding both our grip on reality and our capacity for moral repair. In the spring of 2026, two research teams issued a warning that moved well beyond the familiar complaints about AI…

  • From ‘Catching Bad Words’ to ‘Understanding Bad Intent’: AI Safety’s Next Evolution

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    Ng Chong

    As Large Language Models (LLMs) like Claude and GPT-4 become central to our digital lives, a silent arms race is happening behind the scenes. On one side, “jailbreakers” try to trick AI into bypassing its safety filters; on the other, researchers build shields to keep the AI helpful and harmless. The recent paper “Constitutional Classifiers++:…

  • AI Social Engineering: How Researchers Psychologically Manipulated GPT-5 

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    Ng Chong

    Only a day after OpenAI launched GPT-5, security researchers bypassed its safety features. This rapid bypass highlighted an important issue: as AI systems like GPT-5 become more sophisticated, their expanded capabilities and complexity can introduce new forms of vulnerability and risk, often outpacing current safety defenses.  Quick Breach of “Safer” AI  On August 7, 2025,…

  • How Sycophancy Shapes the Reliability of Large Language Models

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    Ng Chong

    Large language models (LLMs) like ChatGPT, Claude, and Gemini are increasingly becoming trusted digital assistants in education, medicine, and professional settings. But what happens when these models prioritize pleasing the user over telling the truth? A new study from Stanford University, “SycEval: Evaluating LLM Sycophancy”, dives deep into this subtle but crucial problem: sycophancy-when AI models agree…