China is losing the LLM race but it can still win in AI, ex-Tencent AI lead says
China is currently lagging behind in the race for large language models (LLMs) but still has the potential to excel in artificial intelligence (AI) overall. A former AI lead at Tencent suggests that while the country faces challenges, it can leverage its strengths to make significant advancements. The focus should shift from LLMs to broader AI applications where China can innovate and lead.
- ▪China is losing the race in large language models but can still succeed in AI.
- ▪The former AI lead at Tencent emphasizes the need to focus on broader AI applications.
- ▪China has strengths that can be leveraged for innovation in the AI sector.
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Story provenance
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Record
| Original publisher | South China Morning Post |
| Canonical URL | https://www.scmp.com/tech/big-tech/article/3354394/china-losing-llm-race-it-can-still-win-ai-ex-tencent-ai-lead-says?utm_source=rss_feed |
| Publication time | Fri, 22 May 2026 01:00:14 +0000 |
| Retrieval time | 2026-05-22T01:06:36.503Z |
| Last seen | 2026-05-22T01:06:36.503Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Wwu8k3tOuy3J |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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Excerpt limited to ~120 words for fair-use compliance. The full article is at South China Morning Post.