China’s high-quality data annotation only began scaling in the last six months, says Teortaxes
zephyr_z9 · x · 2026-07-23
Teortaxes argues that Chinese models will remain “jagged” on niche domains for about a year because high-quality data annotation and data procurement in China only started scaling recently.
- The screenshot quotes a senior speaker saying the main bottleneck is time, not money or GPUs.
- Foreign labs such as OpenAI and Anthropic started earlier and have had more capital and GPUs for post-training.
- The post claims domestic teams are only now ramping up high-quality annotation, so the gap should narrow over the next year.
- Teortaxes adds that this is mostly separate from core R&D capability and compute, and points to DeepSeek job listings as evidence of the push.
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