Humanity’s biggest progress takes time.

Curing cancer, going to the Mars, solving hundred-year-old mathematics puzzle… Humanity’s biggest challenges take years, decades or beyond. But today’s AI operates in short context window that’s last minutes, hours or days.

Chengxi Taylor is Co-founder & President of General Reasoning, a London-based AI research company. Her work focuses on long-horizon, non-stationary decision-making: building AI systems that can pursue a strategy over long period of time (years, decades and beyond) while adapting as the world changes.

She believes long-horizon thinking is not just a technical challenge, but a mindset. It’s about rebuilding the ability to sustain purpose and progress over time, in machines and in ourselves.

Scaling to long horizons

This matters in fields where progress takes years, not minutes, from managing investments through shifting markets, to guiding a space exploration mission through unexpected conditions, or developing a medicine as new evidence emerges. The challenge is not simply making one intelligent decision, but holding a coherent direction across thousands of changing decisions.