AI & Visionary Thinking
In the 1980s and 1990s, most of the AI world had moved on from neural networks. These systems—designed to mimic the brain's structure—were dismissed as inefficient, shallow, and impractical. The dominant trend was symbolic AI: logic-based systems engineered to follow programmed rules. It was neat, controllable, and explainable—but it couldn't learn or adapt.
Geoffrey Hinton thought differently. He believed that the brain-like structure of neural networks held the key to true intelligence. While others abandoned them, he quietly refined his ideas, waiting for computing power and data to catch up. In 2012, that moment arrived.
A Visionary Mindset
On December 17, 1903, the Wright brothers revolutionized the modern world with the first successful airplane flight, embodying the power of visionary thinking. While most were focused on improving the speed and efficiency of existing modes of transportation, the Wright brothers, like other visionaries, saw beyond the limits of their time, imagining a future where humans could fly.
Organized Chaos
In the hours before opening, a restaurant is a scene of controlled chaos. Staff arrive early, each with a specific role. Managers oversee, checking cleanliness and alignment, holding briefings on reservations and special requests. There's a palpable urgency as everyone works against the clock. In the kitchen, chefs and cooks set up their stations while the head chef directs, ensuring everything is prepared perfectly. As opening approaches, the chaos subsides. Final touches are made, lights are dimmed, and soft background music starts. The doors open, and the restaurant transforms. Guests are greeted warmly and led to tables, where the atmosphere is now serene and relaxing, transitioning smoothly from behind-the-scenes chaos to effortless service.