Summary of Key Points
ByteDance has chosen a long-term self-research approach in the competition for large-scale AI models, rejecting the shortcut of model distillation techniques, which may lead to short-term performance lag. The company has also integrated its services such as DouBao (a consumer-facing AI assistant), Lark (an office software), and HuoShan Engine (an enterprise technology platform) to seize opportunities in AI-driven productivity and focus on the business (B2B) market. Its AI business performed exceptionally well in the first half of the year, with DouBao demonstrating strong competitiveness among consumer users and Seedance achieving industry-leading results in video generation models. Additionally, ByteDance places great emphasis on recruiting and training new talents, giving them key responsibilities through practical experiences.
Detailed Explanation
1. Avoiding Shortcuts in Large-Scale AI Models: Focusing on Long-Term Foundation
ByteDance has adopted a method of “slow but steady” development for large-scale AI models:
- What is model distillation? This involves extracting the essential components from mature models to quickly improve one’s own model performance—similar to copying top students’ notes before an exam, which may boost scores temporarily but doesn’t lead to true understanding.
- Why does ByteDance reject this approach? Founder Zhang Yiming has explicitly prohibited the use of this technique. Even if Seed models lag behind competitors like DeepSeek and Kimi in the short term, ByteDance insists on this approach. CEO Liang Rubo explains that it’s not due to external pressure but rather a desire to build a solid technical foundation for the team to achieve General Artificial Intelligence (AGI), which can handle various intelligent tasks like humans.
- How is compliance ensured? The company takes practical measures, such as checking whether employees secretly use third-party model APIs and filtering open-source data, to prevent such shortcuts.
2. Integrating Services for B2B Growth: AI as a New Engine of Growth
ByteDance’s recent integration of DouBao, Lark, and HuoShan Engine reflects its recognition of the potential of AI in business scenarios:
- Why the integration? Liang Rubo notes that AI is improving productivity faster than expected, and demand from enterprise customers (B2B) is increasing. For example, over 90% of new Lark users also purchase Lark’s AI products, such as intelligent document tools and meeting assistants. The integration allows for a more integrated approach to provide comprehensive “office + AI” solutions.
3. AI Performance in the First Half of the Year: Success on Both Consumer and Business Fronts
ByteDance’s AI business achieved impressive results:
- Consumer side: DouBao has maintained its competitiveness, with high user engagement and a positive user experience, indicating user satisfaction.
- Technical side: The Seedance video generation model has reached industry-leading standards (SOTA), meaning it produces high-quality videos at fast speeds.
4. Recruiting Talents through Campus Recruitment: Cultivating Future Leaders
ByteDance is actively recruiting graduates for the class of 2027, with this group accounting for an increasing proportion of its talent pool:
- How are new employees trained? The company goes beyond basic training and mentorship; they are placed in critical roles to gain practical experience. For instance, AI team members may directly participate in large-scale model training or product optimization.
Conclusion
ByteDance avoids short-term shortcuts in AI development and focuses on long-term self-research and B2B applications. By investing in talent through campus recruitment, the company aims for a steady approach in the future AI landscape. This strategy of “quality over speed” may give it a competitive advantage in the long run.