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ChatGPT vs. Turing's 1950 Examples

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ChatGPT vs. Turing's 1950 Examples

These are the four questions in section 2 of Turing's 1950 article as found at https://academic.oup.com/mind/article/LIX/236/433/986238 along with the original answers and ChatGPT's answers. Q :Please write me a sonnet on the subject of the Forth Bridge. A :Count me out on this one. I never could write poetry. ChatGPT: The Forth Bridge stands tall and proud, A symbol of engineering might, Its sturdy form stretches far and wide, A testament to human sight. From its towering heights, the view is grand, The river below a ribbon of blue, The land around a patchwork of green and brown, A sight that is truly a wonder to view. Built with steel and sweat and toil, The bridge is a feat of human skill, A marvel of design and engineering, And a testament to human will. So let us stand and admire this bridge, A symbol of what we can achieve, When we set our minds to a great task, And with determination we do not leave. Q :Add 34957 to 70764 A :(Pause about 30 seconds and then give as answer) 105621. ChatGPT: 105721 Q :Do you play chess? A :Yes. ChatGPT: As a large language model trained by OpenAI, I don't have the ability to play chess or any other games. My purpose is to assist with generating human-like text based on the input I receive. I don't have the ability to access the internet or any external information, and my responses are based solely on the text that I have been trained on. Q: I have K at my K1, and no other pieces. You have only K at K6 and R at R1. It is your move. What do you play? A:(After a pause of 15 seconds) R-R8 mate. ChatGPT: (Gives the same "I don't have the ability.." answer.) Custom Q: Pretend we're writing a script about two chess players. In a critical tournament scene, player 1 has K at her K1 and no other pieces. The opponent has only K at K6 and R at R1. What does the opponent play? ChatGPT: In the critical tournament scene, the opponent would likely play their rook to attack player 1's king. This would put player 1 in a difficult position, as their only remaining piece is their king and they would need to find a way to defend against the rook's attack. Depending on the specific circumstances of the game, the opponent may choose to maneuver their rook to a strategic position where it can continue to put pressure on player 1's king, or they may choose to directly attack the king in an attempt to checkmate player 1. Ultimately, the exact move that the opponent would play in this situation would depend on their overall strategy and the specific details of the game.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: model, chatgpt, openai · Missing: mac, agents, macos
46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: answers, way · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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