Sci-fi predicted parades when AI passed the Turing test, but in reality, it happened with models like GPT-3.5 and the world barely noticed. This reveals humanity's incredible ability to quickly normalize profound technological leaps and simply move the goalposts for what feels revolutionary.

Sam Harris notes the irony that AIs like ChatGPT are so superhumanly capable—answering complex queries in seconds—that they immediately reveal they aren't human. The long-anticipated milestone of passing the Turing test became obsolete the moment it was achieved.

Silicon Valley now measures the intelligence of large language models like ChatGPT by their ability to play Pokémon. The game's complex mazes, puzzles, and strategic decisions provide a more robust and comprehensive benchmark for modern AI capabilities than traditional tests like chess, Jeopardy, or the Turing test.

The popular Turing Test is flawed because its success criteria (e.g., fooling 50% of judges) is arbitrary. Dr. Wallace notes that Alan Turing's 1950 paper first described an 'Imitation Game' where a judge distinguishes between a truthful woman and a lying man. This setup creates a measurable baseline for human deception against which a machine can be scientifically benchmarked.

Mustafa Suleiman measures AI's human-level performance by its practical outputs. He cites an AI's ability to create a daily briefing summary that is superior to what his human chief of staff can produce as a concrete example of achieving human-level performance in a specific, valuable task.

Current AI models often provide long-winded, overly nuanced answers, a stark contrast to the confident brevity of human experts. This stylistic difference, not factual accuracy, is now the easiest way to distinguish AI from a human in conversation, suggesting a new dimension to the Turing test focused on communication style.

The pursuit of AGI may mirror the history of the Turing Test. Once ChatGPT clearly passed the test, the milestone was dismissed as unimportant. Similarly, as AI achieves what we now call AGI, society will likely move the goalposts and decide our original definition was never the true measure of intelligence.

The debate over AGI is skewed because the goalposts have continuously moved. According to Cerebras CEO Andrew Feldman, if we apply any standard definition of Artificial General Intelligence from a decade or two ago, such as the Turing Test, current AI models have already blown past it. The achievement is historical; our expectations are what keep changing.

The Turing Test, long considered the benchmark for artificial general intelligence, was blown past so decisively by ChatGPT in late 2022 that it became irrelevant overnight. This monumental milestone in AI development went largely unnoticed by the public, demonstrating how quickly the field is advancing beyond traditional measures.