AMI Labs and Mind Lab researchers discuss continuous learning for AI agents at AGI Playground 2026
According to GeekPark, Lin Min of AMI Labs and Andrew Chen of Mind Lab spoke at AGI Playground 2026 in Singapore about continuous learning for AI agents. They discussed how agent products can accumulate large amounts of interaction data, the roles of world models and memory, and approaches like LoRA and KV Cache; Mind Lab released Macaron V1 in late July based on GLM 5.2.
Key facts
- 01Agent products can handle millions of conversations.
- 02Mind Lab released Macaron V1 in late July, based on GLM 5.2.
- 03The discussion occurred at AGI Playground 2026 in Singapore.
- 04Key topics include world models, memory types, LoRA, and KV Cache.
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