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Meet the team helping Yann LeCun build AI startup AMI Labs

Sifted 23 July 2026, 05:00

AMI Labs, founded by Yann LeCun after raising $1 billion in seed funding, is rapidly expanding its team across multiple locations to build AI systems. The startup has grown to approximately 50 full-time employees with representation spanning research, engineering, and other functions across offices in different regions. This expansion enables AMI Labs to scale development of its AI technology platform and pursue its mission in the competitive AI research and commercialization space.

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TLDRocket 23 July 2026

Poolside AI's release of Laguna S 2.1 crystallizes a shift away from scale-at-all-costs. The 118-billion-parameter model, with only 8 billion active parameters per token, achieves 70.2% on Terminal-Bench 2.1 and outperforms Deepseek v4 Pro while costing less than v4 Flash—a direct challenge to the assumption that bigger models always win. Poolside's systematic approach, running 10,000 to 20,000 monthly experiments across fewer than 70 researchers in eight-week cycles, suggests that engineering rigor and data efficiency matter as much as raw compute. This matters because it hints at a possible end to the AI industry's winner-take-all consolidation: smaller teams with disciplined workflows can still build competitive open-weights models.

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Meet the team helping Yann LeCun build AI startup AMI Labs

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