AI Industry — Full Overview

Modalities · World Models · Industry Pillars

Higher-Order Paradigm

World Models

Not a peer modality — a system-level paradigm that integrates all modalities below. Learns 3D spatial structure, physical laws, causal logic, and environmental interaction to simulate how the real world operates.

3D Spatial Structure Physical Laws Causal Logic Environment Simulation General AI Cornerstone
integrates & sits above
Core AI Modalities — Upper Layer
💬

Language

Text, dialogue, code, logical reasoning, knowledge induction. The foundation for cognitive thinking and human-computer interaction.

Text & Dialogue Code Generation Reasoning
🎙️

Voice & Audio

Independent acoustic dimension. Speech recognition, synthesis, sound-field understanding, and voiceprint analysis.

ASR / TTS Environmental Audio Voiceprint
👁️

Vision

Image + Video. Static 2D parsing and feature recognition, plus temporal understanding of continuous frames and dynamic scenes.

Static (Image) Temporal (Video) Industrial Inspection
🤖

Embodied / Action

Physical-world interaction: robotic control, manipulation, locomotion, and the mapping from perception to action.

Robotics Autonomous Driving Industrial Automation
sustained by
Industry Pillars — Lower Layer
🗄️

Data

Raw material of AI. Collection, cleaning, labeling, general corpora, and vertical-industry data. Determines the upper limit of model capability.

🧠

Algorithms

Logical brain of AI. Foundational architectures, training paradigms, fine-tuning, and alignment strategies.

Compute

Physical carrier of AI. GPUs, NPUs, server clusters, and edge devices that execute training and inference.

🔋

Energy Emerging

Physical foundation for large-scale AI. Power supply, data-center cooling, carbon footprint. Rising to co-equal pillar status as frontier-model power demand reaches gigawatt scale.

Integrative Paradigm
Core Modalities (Upper Layer)
Industry Pillars (Lower Layer)
Emerging Pillar