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5min chapter
Debating Technology
Agenda Dialogues
Aligning AI: Faking Safety in Language Models
This chapter delves into the challenges of 'alignment faking' in large language models, emphasizing the critical safety issues and the need for improved training methods. It also advocates for transparency measures like watermarking to distinguish between human and algorithmic outputs while considering the potential benefits of AI in enhancing creativity.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode