Vanishing Gradients
Episode 37: Prompt Engineering, Security in Generative AI, and the Future of AI Research Part 2
Oct 8, 2024
Join Sander Schulhoff, a specialist in prompt engineering, Philip Resnik, a computational linguistics professor, and Dennis Peskoff from Princeton as they delve into the cutting-edge world of AI. They explore the security risks of prompt hacking and its implications for military use. Discussion highlights include the evolving role of generative AI across various fields, innovative techniques for improving AI self-criticism, and the pressing need for energy-efficient large language models. Their insights offer a fascinating glimpse into the future of AI research.
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Quick takeaways
- The emergence of sophisticated cyber threats driven by generative AI necessitates immediate attention to security vulnerabilities and protective measures.
- Prompt engineering significantly enhances the performance of language models, showcasing the importance of human-AI collaboration in diverse applications like mental health assessments.
Deep dives
Emerging Security Threats from Generative AI
Generative AI poses numerous security threats that are expected to escalate in the next five years. One significant concern is the potential for language model-generated cyber attacks, including sophisticated viruses designed to spread through computer systems autonomously. These viruses could operate without relying on external API calls, making them more elusive and harder to detect. The advancement of such technologies raises alarming possibilities for increased phishing and spear phishing attempts, highlighting the urgent need to address these vulnerabilities.
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