It's a testament to the progress in AI/ML in the last 5 years that we're now at the point where we're having to examine what human intelligence is. Every time A

It's a testament to the progress in AI/ML in the last 5 years that we're now at the point where we're having to examine what human intelligence is. Every time AI surpasses a previously set benchmark, we raise the bar for "intelligence". This is not a complaint either, we should be continually raising the bar. In time I think the consensus will become that human intelligence is 98% pattern recognition and 2% magic sprinkled on top. Our best pattern recognition algorithms are already at human level. Previously a common criticism was that ML algorithms only applied in narrow domains, e.g. CNNs in computer vision, language models on text. Transformers are increasingly becoming multimodal and general purpose, so previous criticisms are becoming less relevant.