Now with context generative AIs, the switch from pattern recognition to pattern creation with neural networks, I would like to propose my own kind of Turing Test:

An AI which is able to code a chess engine and outperforms humans in this task.

1A) With hand-crafted eval. 1B) With neural networks.

2A) Outperforms non-programmers. 2B) Outperforms average chess-programmers. 2C) Outperforms top chess-programmers.

3A) An un-self-aware AI, the "RI", restricted intelligence. 2B) A self-aware AI, the "SI", sentient intelligence.

4A) An AI based on expert-systems. 4B) An AI based on neural networks. 4C) A merger of both.

The Chinese Room Argument applied onto this test would claim that there is no conscious in need to perform such a task, hence this test is not meant to measure self-awareness, consciousness or sentience, but what we call human intelligence.

https://en.wikipedia.org/wiki/Chinese_room

Two test candidates already posted on TalkChess:

YATT - Yet Another Turing Test
https://talkchess.com/viewtopic.php?t=83919

The Theta Chess Project is about developing an AI system that is able to code independently a chess engine on its own. Contrary to current generative AIs it is intended as expert-system, based on knowledge-graphs instead of neural networks. The first step would be to crack the game tic-tac-toe, three in a row, then apply on chess.