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We can no longer tell human from machine. 🤖📉 We investigate the collapse of the Turing Test, the 1950 benchmark that defined AI success for decades. We break down how modern LLMs like GPT-4o have not only passed the test but "beaten" humans at being human, fooling judges 54-73% of the time .
1. The "Modern Turing Test": We analyze the new standard. Since conversation is no longer a reliable metric, leaders like Mustafa Suleyman are proposing a radical shift: the "Modern Turing Test." Instead of chatting, the AI is given $100,000 and told to turn it into $1 million on a retail platform with minimal human oversight. This tests agency and real-world impact, not just mimicry .
2. The "ARC" Challenge: Why can't AI solve puzzles? We explore the ARC-AGI benchmark created by Google's François Chollet. While LLMs can write poetry, they struggle with simple visual logic puzzles that a child can solve. We discuss why this test—which measures the ability to learn new skills rather than memorize old data—is the last fortress standing between current AI and true AGI .
3. The "Self-Awareness" Crisis: We expose the frontier of testing. Scientists are now attempting to measure "Machine Consciousness" using metrics like the Explainable Consciousness Indicator (ECI). We ask the terrifying question: if an AI passes a "Theory of Mind" test and demonstrates self-awareness, do we have the ethical right to turn it off?
By MorgrainWe can no longer tell human from machine. 🤖📉 We investigate the collapse of the Turing Test, the 1950 benchmark that defined AI success for decades. We break down how modern LLMs like GPT-4o have not only passed the test but "beaten" humans at being human, fooling judges 54-73% of the time .
1. The "Modern Turing Test": We analyze the new standard. Since conversation is no longer a reliable metric, leaders like Mustafa Suleyman are proposing a radical shift: the "Modern Turing Test." Instead of chatting, the AI is given $100,000 and told to turn it into $1 million on a retail platform with minimal human oversight. This tests agency and real-world impact, not just mimicry .
2. The "ARC" Challenge: Why can't AI solve puzzles? We explore the ARC-AGI benchmark created by Google's François Chollet. While LLMs can write poetry, they struggle with simple visual logic puzzles that a child can solve. We discuss why this test—which measures the ability to learn new skills rather than memorize old data—is the last fortress standing between current AI and true AGI .
3. The "Self-Awareness" Crisis: We expose the frontier of testing. Scientists are now attempting to measure "Machine Consciousness" using metrics like the Explainable Consciousness Indicator (ECI). We ask the terrifying question: if an AI passes a "Theory of Mind" test and demonstrates self-awareness, do we have the ethical right to turn it off?