AI stack future proof

Future Proofing Your AI Stack: Get smart, stay ahead!

Audio by Shelby D. using WellSaid Labs

Ever had that dream where robots did all your mundane tasks and you’re just sipping coffee, watching the world go by? Turns out, it’s not far from reality. But it’s much less dystopian than you might think. 

According to the 2023 Postman’s State of the API, a staggering 60% of professionals are using Generative AI, primarily to find bugs and, shockingly, to generate code. Another fun tidbit: a GitHub survey found 92% of U.S.-based developers getting cozy with AI coding tools both on and off the clock.

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AI assessment for generative AI

Beyond the Turing and Into a New Age of AI Assessment

On a rainy day in 1950, Alan Turing, the godfather of modern computing, served the world a piping hot plate of intellectual intrigue: a test designed to decipher if a machine could match wits with a human. This litmus test of artificial brain power, known as the “Imitation Game” in Turing’s era, has since donned a more relatable name, and one most readers will recognize: The Turing Test.

Its setup is about as straightforward as it gets: a human judge (Player C) has to discern between a human (Player A) and a machine (Player B) solely through written interaction. But here’s the thing—the Turing Test simply measures if a machine can mimic human intelligence, and well, not all AI is made to replicate us, is it?

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