Alan Turing’s life was as groundbreaking and visionary as it was tragic. After developing the concept of a universal computing machine—the idea that a computer could do anything you program it to—Turing set to thinking about what would define success.
He came up with a simple test to run, once computers were up to the task. This test would ultimately determine whether a computer, using natural language, could fool a human into thinking it was another human, not a computer.
Turing's test was not just a benchmark for machine intelligence but also a philosophical exploration of what it means to think.
Over the years, there have been lots of attempts to create a Turing Test, and today, this is at the forefront of AI research. Large Language Models, or LLMs, use natural human language to communicate and operate, and it’s very much like speaking with a human (right up until it isn’t).
But there’s another reason to have a test like this, one not so deeply rooted in academic curiosity or incr…
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