Full Explanation
Common perception links GenAI primarily to chatbots. However, GenAI is a broad family of models sharing a single "DNA": Prediction.
- Text: Predicts the next token.
- Audio: Predicts the next signal.
- Image: Predicts structure from noise.
- Video: Predicts structure across time.
Because they share this underlying mechanism, two acceleration forces kicked in:
- Cross-Pollination: A mathematical breakthrough in one modality (e.g., text) now applies to others. Audio scientists can borrow "tricks" from Text scientists because both are optimizing prediction engines.
- Resource Injection: The success of ChatGPT proved the viability of this "Prediction Paradigm," flooding the field with capital and talent that lifted all boats at once.
The result is a unified acceleration where improvements in the core model architecture instantly ripple out to improve vision, sound, and language together.