Beyond LLMs: The Shift to Self-Learning AI
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.