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Here’s an analogy: Freeways didn’t exist in the U.S. until after 1956, when envisioned by President Dwight D. Eisenhower’s administration — yet super fast, powerful cars like Porsche, BMW, Jaguars, Ferrari and others had been around for decades.
You could say AI is at that same pivot point: While models are becoming increasingly more capable, performant and sophisticated, the critical infrastructure they need to bring about true, real-world innovation has yet to be fully built out.
“All we have done is create some very good engines for a car, and we are getting super excited, as if we have this fully functional highway system in place,” Arun Chandrasekaran, Gartner distinguished VP analyst, told VentureBeat.
This is leading to a plateauing, of sorts, in model capabilities such as OpenAI’s GPT-5: While an important step forward, it only features faint glimmers of truly agentic AI.
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“It is a very capable model, it is a very versatile model, it has made some very good progress in specific domains,” said Chandrasekaran. “But my view is it’s more of an incremental progress, rather than a radical progress or a radical improvement, given all of the high expectations OpenAI has set in the past.”
GPT-5 improves in three key areas
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