Alignment Implications of LLM Successes: a Debate in One Act — AI
Por um escritor misterioso
Last updated 19 outubro 2024
Doomimir: Humanity has made no progress on the alignment problem. Not only do we have no clue how to align a powerful optimizer to our "true" values,…
Doomimir: Humanity has made no progress on the alignment problem. Not only do we have no clue how to align a powerful optimizer to our true values,…
Doomimir: Humanity has made no progress on the alignment problem. Not only do we have no clue how to align a powerful optimizer to our true values,…
PDF] Measuring Progress on Scalable Oversight for Large Language Models
Researchers at DeepMind Created a 70B Parameter Language Model that Generates Statements Aligned with Humans with Diverse Viewpoints - MarkTechPost
Auditing large language models: a three-layered approach
large language models - WIZ AI
Generative AI and large language models: background and contexts
Update #49: Fundamental Limitations of Alignment in LLMs and EU/US Approaches to AI
There Is No A.I.
Large language models might always be slightly misaligned
AI's next frontier: building and investing in Large Language Models
In Search of the Future: What Sci-Fi Can Teach us about the Perils of AI and How to Solve the Alignment Problem - Hyperight
AI Safety 101 - Chapter 5.1 - Debate — LessWrong
Artificial Intelligence
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