​The Next Wave Of AI

​Frozen Models → Self-Learning Systems

​Who Should Attend

• ​Founders and builders designing the next generation of intelligent systems

• ​Investors looking for signals on where the AI paradigm is heading next

• ​Product and engineering leaders navigating AI beyond prompt engineering and model wrappers

• ​AI researchers and engineers exploring architectures beyond today’s transformer stack

• ​All AI users, anyone curious about the future of intelligence systems

​Why Attend

• ​Understand the architectural limits of frozen models

• ​Learn what self-learning AI actually means in practice

• ​Explore how systems can continuously learn, adapt, and improve through experience

• ​See why the next phase of AI will be driven by learning architectures not more data, GPUs, or scaling

​If you're thinking about what comes after the LLM era, this session will map the shift.

​Event Flow

​4:30 – 5:30 Networking Pizza & drinks

​5:30 – 6:30 Main Session

​6:30 – 7:30 Networking

​Main Session Breakdown

​“Today’s AI can generate tokens. Real intelligence learns.”

​5:30 – 5:40 | The Problem
Why today’s AI can generate impressive outputs but cannot learn from experience.

​5:40 – 5:50 | The Shift
From frozen models to self-learning systems that continuously acquire and apply knowledge.

​5:50 – 6:05 | Live Demos
Watch AI learn new tasks in real time—no pretraining, no retraining cycles.

​6:05 – 6:20 | How It Works
The architecture behind continuous learning, memory, and compounding intelligence.

​6:20 – 6:30 | Discussion + Q&A
What this shift means for AI, startups, and the future of intelligence systems.