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I'm defining AGI as an algorithm that can do any human white collar job.
- If things get complicated I might resolve if a single algorithm can perform better than humans on all the most common AI benchmarks in text, vision, and audio.
- The common LLM benchmarks: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
- The most common vision tasks:
- https://scale.com/blog/best-10-public-datasets-object-detection
- And the Audio Tasks / Datasets mentioned here:
