What are chinese labs doing differently?
Chinese AI models are reportedly improving rapidly despite lower spending compared to American labs. One suggested explanation is their acquisition of handcrafted expert data from US companies such as SurgeAI and Mercor. Some believe that access to such data should be restricted, similar to chips and GPUs, to help the US maintain its lead in the AI race.
This report uniquely highlights the acquisition of handcrafted expert data from US companies like SurgeAI and Mercor as a key factor in Chinese AI model advancements, unlike other discussions focusing solely on hardware or algorithms.
Time & source
Times shown in UTC
Display time zone: UTC
Local time zone unavailable; showing UTC.
PublishedOffset at this time: UTC+0Sep 29, 2026, 19:55 UTC
IngestedOffset at this time: UTC+0Sep 30, 2026, 01:00 UTC
- Published
- Sep 29, 2026, 19:55
- Ingested
- Sep 30, 2026, 01:00
- Source type
- Dev community
- Tier
- Community
- Source status
- Sync delayed
Tier is a per-source editorial setting, not a per-item score.
Discussion trend
The percentage is based on collected discussion signal, not new comments or independent people. The curve only compares the same topic across time.
Chinese models seem to keep getting better while only spending a fraction of what American labs do and i’m curious what the actual explanation is.
Is it better efficiency? Better post-training? Better use of open research? Better data?
I know recently they’ve been buying up tons of handcrafted expert data from US companies like SurgeAI/Mercor. I think stuff like this should be restricted, like chips/GPUs, if we want the US to maintain the lead in the AI race.
What things could it be?