Multimodal models are reshaping the industry, with major AI companies accelerating technological innovations one after another.

2026-02-28 15:16:06

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On February 21, several AI companies announced significant advancements in the evolution of multimodal models. In a report summarizing these developments, Citic Securities pointed out that the rapid progress in native multimodal and world model technologies could lead to widespread industry restructuring, impacting creative industries such as marketing, film, and gaming, as well as professional fields like finance and law.

Agent-Based AI and Multimodal Integration Enter a New Stage

Anthropic released Claude Opus 4.6, equipping its agent team with adaptive thinking capabilities to improve the efficiency of managing complex engineering tasks. This model’s deep integration with office environments significantly expands AI applications in vertical sectors like finance and law. Meanwhile, OpenAI announced GPT-5.3-Codex, establishing new standards in programming and terminal operations. The model demonstrates autonomous development and evolution through environment control and self-constructing capabilities, indicating a technological turning point for the industry.

ByteDance’s Multimodal Strategy Achieves Consistency in Video Generation

In the multimodal domain, ByteDance’s Seedance 2.0 has begun internal testing. Through comprehensive multimodal referencing and precise lens control technology, it aims to solve consistency issues in video generation. In collaboration with Doubao and Seedream, the goal is to build a complete multimodal ecosystem, which is expected to significantly reduce content creation costs and accelerate commercialization.

The Impact of Integrating Multiple Technologies on the Market

The evolution of these multimodal model technologies suggests more than just individual product improvements; it indicates a structural shift in the entire AI industry. The integration of world model technology and multimodal processing greatly enhances AI’s ability to understand the real world more accurately and handle complex tasks. As the industry begins to fully embrace multimodal models, the pace of innovation in content creation, financial analysis, and engineering fields is expected to accelerate further.

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