Alibaba's Cloud Summit: Qwen Eyes 100 Trillion Parameters, 1000x Machine Intelligence Ambition

On September 22, 2026, Alibaba Group CEO Eddie Wu unveiled a strategic roadmap for the "era of machine intelligence" at the Apsara Conference 2026 in Hangzhou. The core thesis: machines currently possess less than 3% of human thinking capacity, leaving room for machine intelligence to scale up to 1000x human capability. Reuters and multiple other outlets have confirmed this framing.

Confirmed

• Models: Alibaba plans to train a new Qwen model with 5 to 10 trillion parameters, far exceeding current mainstream models (m2, m5 citing Reuters).
• RSI: The Qwen team is exploring recursive self-improvement (RSI), where models identify their own weaknesses from real-task feedback, design experiments, construct data, and continue training (m2, m4).
• Infrastructure: Alibaba is also building in-house chips and plans 20GW of data centers by 2032 (m3, m4), forming a full-stack commitment across models, chips, and compute.
• Several posters (m4, m3) summarized this as Alibaba making a "full-stack bet" on the ultra-large model route across three fronts.

Why it matters

• If 5–10 trillion parameters materialize, it would be several times the size of today's mainstream models, extending the "brute force scaling" route and contrasting with parts of the industry pivoting toward smaller models and inference optimization; its training cost and actual results warrant ongoing attention.
• RSI suggests the training paradigm could shift from human-curated data to model self-discovery and self-iteration—if viable, it would dramatically reshape the capability growth curve.
• In-house chips and the 20GW data center plan signal Alibaba's ambition to control the compute layer, with profound implications for China's AI infrastructure landscape.

2026-09-22 ~ 2026-09-22 · 5 related posts

Full story(2 episodes)→

• Episode 1: Alibaba unveils Zhenwu V900 chip, plans 5-10 trillion parameter model(2026-09-22, 4 posts)
• Episode 2: Alibaba's Cloud Summit: Qwen Eyes 100 Trillion Parameters, 1000x Machine Intelligence Ambition(2026-09-22, 5 posts)

• [source] Alibaba roadmap: Qwen explores RSI, new models up to 10T params, 20GW datacenters by 2032 — teortaxesTex · 2026-09-22
• [source] Alibaba bets full-stack on AI: 5-10T param Qwen, Zhenwu V900 chip, 20GW cloud by 2032 — Scobleizer · 2026-09-22
• [source] Alibaba CEO Eddie Wu says new AI model to train on 5-10 trillion parameters — JosephJacks_ · 2026-09-22
• Alibaba lays out AI roadmap: 10T-parameter Qwen, Zhenwu V900 chip, 20GW data centers by 2032 — iamfakhrealam · 2026-09-22
• Alibaba CEO Eddie Wu: Machine thinking is under 3% of human thinking, with 1000x runway ahead — alifcoder · 2026-09-22