Yan Junjie: Don't apply mobile internet logic to LLMs

Why it matters

MiniMax is the most distinctive of China's 'AI Six Tigers': no open-source, no B2B, only C2C entertainment products. Founder Yan Junjie delivers a line that silenced many: 'Better models can lead to better applications, but better applications and more users won't lead to better models' — breaking the industry consensus of 'applications feeding back to models'. He systematically explains why mobile internet's 'scale first, monetize later' logic may fail in the AI era, and MiniMax's survival philosophy: 'Don't burn cash, don't fundraise desperately, survive first.'

Full Interview

Key takeaways

• 'Better applications won't lead to better models' — breaking the 'app feeds model' consensus; this interview's most controversial and valuable insight.
• Mobile internet logic doesn't apply: 'scale first, monetize later' presupposes network effects and zero marginal cost — AI inference costs don't support this.
• C-end AI products' core isn't 'intelligence' but 'fun' — MiniMax's Glow/Talkie validated that 'entertainment sells better than efficiency'.
• Extremely restrained fundraising: 'We want revenue to cover 80%+ of costs before raising — investors smell your anxiety and will lowball you.'
• On peers: 'China doesn't need 6 LLM companies — maybe only 2-3 will survive.'