# Meta — Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI

- Company: Meta (meta.com)
- Announced: 2026-10-13T16:01:00+00:00
- Category: model-update
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://engineering.fb.com/2026/10/13/ml-applications/generative-ads-model-gem-scaling-frontier-ads-ai/
- Record: https://forck.live/items/20516-meta-s-generative-ads-model-gem-scaling-the-central-model-and-compute-engine
- Subject: Llama / infrastructure
- Models affected: GEM

Meta's 2026 generation of GEM shifts from per-domain optimizations to a single central foundation model that learns across all Meta ads platforms, delivering an 18.9% conversion improvement and 12% ad CTR improvement across surfaces. The model uses a new LLM-style architecture called Kunlun, co-designed with the latest GPU hardware, enabling 2.5x model complexity growth and LLM-like scaling laws. A post-training technique called LoopFM transfers GEM's representations to downstream models at no additional compute cost or latency.

## Evidence

Verbatim from https://engineering.fb.com/2026/10/13/ml-applications/generative-ads-model-gem-scaling-frontier-ads-ai/:

> GEM has delivered 18.9% conversion improvement and 12% ad click-through rate (CTR) improvement across Meta’s ad surfaces and objectives, and additionally contributed 5.8%, 4.1%, and 1.6% conversion uplift on Facebook, Instagram, and off-site conversion for targeted users over the past year.

## Follow-ups

- Financial Times (reported, 12 Oct): Zuckerberg says Meta has reached AI ‘frontier’ — https://forck.live/items/19973-zuckerberg-says-meta-has-reached-ai-frontier

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Record: https://forck.live/items/20516-meta-s-generative-ads-model-gem-scaling-the-central-model-and-compute-engine
Catalogue: https://forck.live/llms.txt
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