AI is on the move—breaking records, curing diseases, and even making art. But as impressive as it all is, we might be approaching the point where more data and bigger models aren’t going to cut it anymore. So, what’s really going on behind the curtain? Are we hitting a ceiling, or is there an endless horizon of AI potential just waiting for us to crack the code?

In this talk, we’ll dive into the real challenges facing AI today. From data bottlenecks and diminishing returns on model size to the environmental costs of training the latest and greatest, we’ll explore what could keep AI from scaling indefinitely. But don’t worry—this isn’t a doom-and-gloom fest. We’ll also look at the innovations and alternatives that might push AI past its current limits.

Join us for a balanced, insightful, and hopefully inspiring conversation about whether AI’s greatest breakthroughs are behind us or just getting started. After all, who doesn’t want to know if the AI hype train is cruising toward a cliff, or if we’re about to launch it into the stratosphere?