Startup Mostik bridges AI models via their weights, tops ARC-AGI 3 at 1/20 the cost
nordicinst · x · 2026-09-03
WIRED profiles Mostik, a startup founded by Russian mathematicians, with a novel way for AI models to communicate through mathematical values in their weights — a kind of machine telepathy. Key points:
- The approach feeds a larger model's capabilities into a smaller one far more efficiently than naive ensembling
- Their model has rocketed to the top of ARC-AGI 3, with details kept secret for the contest
- Demo: bridging 753B-param GLM-5.2 with a 4B-param Qwen-3.5 that runs on mobile yields performance exactly halfway between the two at 1/20 the cost of the full GLM model
- CEO Sasha Malysheva, who developed the method, frames it as an extension of the well-known fact that ensembles outperform single models
More from Models
- GLM 5.3 at 200+ TPS builds a full web page in 37 seconds, unedited video — nutlope · 2026-09-03
- Early user: Fable's new model is 'very nice' at textbook generation — generativist · 2026-09-03
- Same-prompt test: fable 5.1 vs sol 5.6 generating a realistic three.js waterfall — majidmanzarpour · 2026-09-03
- Claude Fable 5.1 tops Code Arena with 1765 pts, 77-pt lead over Qwen — burny_tech · 2026-09-03
- New Google model debuts at #14 and #32 on leaderboards, mocked vs Kimi and GLM — airesearch12 · 2026-09-03
- Anthropic Launches Claude Fable 5.1 and Mythos 5.1, Its Most Advanced Coding Models Yet — Arindam_1729 · 2026-09-03