Transforming Cybersecurity in the Age of Large Language Models (LLMs) and Generative AI
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In recent months, the surge in Large Language Models (LLMs) has led to an increased discussion on AI security. However, the terms “safety” and “security” have often been used interchangeably, confusing these conversations. This lack of clarity hampers effective discussions on AI security.
AI Safety: This term focuses on the internal aspects of AI systems. It encompasses model alignment with human intent, interpretability, and robustness. As we approach AGI with LLMs, safety becomes intertwined with alignment and RLHF, emphasizing making AI systems work for humans while minimizing harm. Leading companies in model development, like OpenAI, Anthropic, and DeepMind, are playing a key role in AI safety. There are entire new categories of labeling and annotation companies such as https://scale.com/ and https://www.surgehq.ai/ who are contributors to human feedback labeling and play an important role in AI Safety.
