Forbes Says The Next AI Breakthrough Is Drift Correction. Everyone Forgot To Build It. Predictable.
A Forbes Council piece argues that the next real AI breakthrough is not larger models but systems that track how user intent shifts during extended interactions. The author observes that users begin with a clear objective, then refine, hesitate, or change direction entirely across multiple prompts. Current AI systems do not adapt to this drift.
This teaches the concept of intent tracking, which is a feedback loop mechanism. Most users assume AI models understand them better over the course of a conversation. They do not. Each prompt is largely processed without meaningful memory of how your goals evolved. Recognizing this limitation makes you a better prompter.
Forbes Technology Council published this argument. The author identifies AI drift as the unsolved problem facing enterprise and consumer AI systems alike.
- Open ChatGPT and start a conversation with a specific goal, such as planning a weekend trip to Lisbon.
- After three exchanges, deliberately change your destination to Porto without stating that you changed your mind.
- Ask the model to summarize your plan. It will likely blend Lisbon and Porto incoherently, demonstrating exactly what AI drift looks like when the system cannot track your shifting intent.