OpenAI has already made waves with its DALL-E image generation technology, and its GPT series has drawn attention with each successive release (and occasional existential dread on the part of writers). But the latest chat-style iteration has seemingly broadened its appeal and audience, in some ways moving the conversation from “wow, undergrads are going to use this to submit bad but workable term papers” to “wow, this could actually help me debug code that I intend to put in production.”

My own example of why I think this is so powerful is timely, if mundane: I asked ChatGPT to provide me with all the various Pokémon type strengths and weaknesses, and it delivered exactly what I always hope Google will every time I enter a Tera Raid in the new Pokémon Scarlet game and have to try to remember what counters what.

ChatGPT is also the best-yet expression of something startups and entrepreneurs looking at the space should already know: The gold rush in generative AI will be driven by developing novel, defensible businesses built around how it shows up, less so than what’s under the hood.

OpenAI’s ChatGPT shows why implementation is key with generative AI by Darrell Etherington originally published on TechCrunch