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:

https://huggingface.co/blog/audio-datasets

If a single algorithm can do better than a human on all of these tasks, I think it is almost certain that it can do most any desk job. And I would resolve this question with the creator of that algorithm.

Open LLM Leaderboard - a Hugging Face Space by HuggingFaceH4

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