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OpenAI’s Sora Faces Growing Pains After A Viral Launch
Image courtesy of OpenAI
OpenAI’s Sora app had one of the most talked-about launches in recent memory... and now it’s dealing with what comes next.
The Hype: According to TechCrunch, Sora’s early buzz translated into massive interest almost immediately. Its ability to generate high-quality video from text put it at the center of the AI conversation overnight. But rapid adoption has a catch: systems built for excitement aren’t always built for scale.
The Fallout: After liftoff, reality set in.
Demand spiked fast. New users rushed in to test Sora’s capabilities, pushing the infrastructure to its limits in the weeks after launch.
Friction followed. Reports of slow performance, usage caps, and reliability issues surfaced as the app struggled to keep up.
Expectations stayed sky-high. Early demos set the bar so high that even minor hiccups felt magnified to users eager to experiment.
The Comedown: None of this signals failure — if anything, it’s a side effect of success. Viral launches have a way of exposing bottlenecks that don’t appear in controlled rollouts. For OpenAI, the focus now is less about proving what Sora can do and more about making sure it runs smoothly at scale.
It’s a familiar phase in tech: the messy middle between a splashy debut and a stable product. Hype grabs attention. Infrastructure scrambles to catch up.
The Future: If OpenAI smooths performance and expands capacity, Sora’s early stumbles will read like footnotes. Expect the winners in this wave of AI to be defined less by what the tech can do, and more by how reliably it can do it for everyone, all at once.
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Today’s email was written by Nick Comney and Kait Cunniff.
Edited by Nick Comney. Polled and Copy-edited by Kait Cunniff.
Published by Darline Salazar.