@seclink: Fun fact: Currently, the specific implementation directions for multimodal large model startups typically include the following. If none of these interest you, don't follow the trend and go back to learning AI coding: 1. Game AI NPC / Agent middleware (e.g., end-cloud collaborative OmniNPC, empowering 3D character interaction and emotional storytelling...)

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multi-modal large-model startup application-directions ai-npc agents embodied-ai

Summary

Summarizes several main implementation directions for current multimodal large model startups, including game AI NPC, enterprise-level multimodal Agent, content generation, embodied intelligence, and visual code assistants.

Fun fact: Currently, the specific implementation directions for multimodal large model startups typically include the following. If none of these interest you, don't follow the trend and go back to learning AI coding: 1. Game AI NPC / Agent middleware (e.g., end-cloud collaborative OmniNPC, empowering 3D character interaction and emotional storytelling) 2. Enterprise-level multimodal Agent (e.g., agents for complex documents, visual stream analysis, cross-system RPA) 3. Multimodal content generation and creative tools (e.g., AI video, short drama generation, e-commerce marketing image and video design) 4. Embodied intelligence and robot control (e.g., end-to-end control system based on multimodal physical perception and action generation) 5. Visual/multimodal code and design assistants (e.g., one-click UI screenshot to high-quality code, interactive product design)
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Cached at: 06/03/26, 09:47 AM

Fun fact:

Currently, the most common practical application directions for multimodal large model startups are as follows. If none of these interest you, it’s better not to jump on the bandwagon and just go back to learning AI coding:

  1. Game AI NPCs / Agent middleware (e.g., cloud-device collaborative OmniNPC, empowering 3D character interaction and emotional storytelling)

  2. Enterprise-level multimodal agents (e.g., agents for complex documents, visual stream analysis, cross-system RPA)

  3. Multimodal content generation and creative tools (e.g., AI video, short drama generation, e-commerce marketing image/video design)

  4. Embodied intelligence and robot control (e.g., end-to-end control systems based on multimodal physical perception and action generation)

  5. Visual/multimodal code and design assistants (e.g., one-click code generation from UI screenshots, interactive product design)

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