TikTok Says AI Race Shifts From Model Scale to Production Optimization

TikTok said the decisive edge in today’s AI race is not owning the biggest model, but running AI that is tightly optimized for real-world production—where latency, cost, safety, and shifting user behavior matter as much as accuracy.

Speaking Thursday UTC at “Metacon 2026,” a major AI conference co-hosted by TokenPost in Seoul, Kanchan Sarkar, an engineering manager at TikTok (owned by ByteDance), argued that ‘general-purpose’ models are only a starting point. In a session titled “How TikTok Moves the Market in the AI Era,” Sarkar said the industry over-emphasizes model scale while…  Read more

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