Unlike old 'if-then' chatbots, modern conversational AI can handle unexpected user queries and tangents. It's programmed to be conversational, allowing it to 'riff' and 'vibe' with the user, maintaining a natural flow even when a conversation goes off-script, making the interaction feel more human and authentic.

Rather than writing detailed specifications, Felix Lee demonstrated that a high-level FigJam flowchart can serve as the sole input for an AI to generate a complete, playable game like Flappy Bird. The AI interprets the user flow and game logic to build the application with animations and scoring in minutes.

People increasingly consume real-life events as passive entertainment. AI can economically enable mass-market interactive media where user choices create different outcomes. This could help teach that the future is contingent on our collective decisions, not a pre-written script to be watched.

Google's Project Genie can generate playable game worlds from text prompts, a feat that would have seemed like AGI recently. However, users' expectations immediately shift to the next challenge: demanding AI-generated game mechanics like timers, scoring, and complex interactions.

To create persistent and interactive AI-generated worlds, Moon Lake uses a hybrid approach. It encodes deterministic rules and interactivity using symbolic representations like code, while leveraging pixel-based models only for the world's visual appearance. This allows for long-horizon memory and complex game mechanics that pixel-only models struggle with.

In this software paradigm, user actions (like button clicks) trigger prompts to a core AI agent rather than executing pre-written code. The application's behavior is emergent and flexible, defined by the agent's capabilities, not rigid, hard-coded rules.

The AI's ability to handle novel situations isn't just an emergent property of scale. Waive actively trains "world models," which are internal generative simulators. This enables the AI to reason about what might happen next, leading to sophisticated behaviors like nudging into intersections or slowing in fog.

Instead of replacing entire systems with AI "world models," a superior approach is a hybrid model. Classical code should handle deterministic logic (like game physics), while AI provides a "differentiable" emergent layer for aesthetics and creativity (like real-time texturing). This leverages the unique strengths of both computational paradigms.

The ability to generate playable 3D worlds from text, as demonstrated by Google's Genie 3, suggests future games won't be developed but generated on-demand. This capability is viewed as an existential threat to the traditional game industry, potentially making franchises like Grand Theft Auto obsolete.