Summary
Ahmed Ahres, head of go-to-market at Reactor (a Series A company building infrastructure for real-time world models), presents a thesis that real-time interactive video represents a categorical shift in how humans produce and consume content — not merely faster generation, but a fundamentally new medium. He draws historical analogies: GPS didn’t just speed up map lookups, it enabled Uber; digital viewfinders didn’t just replace film, they enabled Instagram and TikTok. In the same way, he argues, programmable real-time video won’t just accelerate content creation — it will unlock applications that are impossible with the current “slot machine” paradigm of prompt-and-wait.
Ahres organizes the current landscape into three model categories: streaming generative video models (infinite, steerable, analogous to Veo or Sora but interactive); character-controllable world models (like Google’s Genie 3, where you pass an image and steer a character in real time); and live interactive avatars. He maps each to concrete industries — personalized real-time advertising, synthetic training data for robotics, immersive educational experiences — arguing that the convergence of all three classes will produce entirely new interaction primitives.
Reactor’s role in this ecosystem is as a developer platform and infrastructure layer, aiming to commoditize access to real-time world models the way cloud providers commoditized compute. The talk closes with an emphasis on education and robotics as under-discussed high-value domains where real-time controllable environments could generate effectively unlimited synthetic training data.
📺 Source: AI Engineer · Published August 18, 2026
🏷️ Format: Opinion Editorial
