SemiAnalysis: Zhipu experiments with Loop Transformer as RL environment building becomes the new bottleneck
ricklamers · x · 2026-09-05
SemiAnalysis's report highlights two new research directions:
- Loop Transformer: recycling layers for depth, "shifting compute from remembering to thinking." Zhipu still treats it as an early experiment, while OpenAI's Astra model is rumoured to already be using it.
- Environment building speed is the new bottleneck: agents now build and verify RL environments with humans still in the loop, grounded in real-world human use cases. Zhipu says if environment design and implementation could be automated by agents, the speed of intelligence growth could greatly increase as they approach full self-training intelligence.
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