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AFM Core Advanced
9 atoms · 跨 1 天 · 首见 2026-06-08 · 最近 2026-06-08
三色: 🟦 fact 7 · 🟥 take 2 · stance ▲2/▼0/◆0
来源: X 9
时态: fresh:9
标签: 好观点:6 · 好数字:2 · 好信源:1 · 好问题:1 · 好思考:1
叙事 (narrative) (2)
- 2026-06-08 · collaboration with Google
AFM core advanced is an “apple and google collaboration”, according to craig’s press slides; which part was google?
tags: 好观点·好思考 · → daily
- 2026-06-08 · Google involvement
It is fully Apple designed architecture, Google had nothing here.
tags: 好观点 · → daily
事实 (fact) (7)
- 2026-06-08 · inference memory footprint
If it's 20B parameters total, but on a specific request it's only 1-4B parameter total. It only loads in 1-4B for inference and decides them at prefill time.
tags: 好数字·好观点 · → daily
value: qty=1-4B
- 2026-06-08 · parameters
AFM Core Advanced on-device model running on A19 Pro is a sparse model. It's 20B parameters.
tags: 好数字 · → daily
value: qty=20B
- 2026-06-08 · 目标设备范围
AFM Core Advanced is just for the iPhone 17 Pro, M3+ Mac, and M4+ iPad
tags: 好信源 · → daily
- 2026-06-08 · architecture lineage
It's fully Apple designed. It is an MoE but when it processes the prompt, it only loads the parameters needed and locks them in.
tags: 好观点 · → daily
- 2026-06-08 · MoE routing confirmation
Yea basically
tags: 好观点 · → daily
- 2026-06-08 · inference loading mechanism vs MoE
Most MoEs will load parameters per token. Apple does it per prompt. It’s more efficient
tags: 好观点 · → daily
- 2026-06-08 · MoE routing mechanism
So the router decides which experts to load during prefil and the experts remain static / fixed during decode?
tags: 好问题 · → daily
时间轴 (近 20)
- 2026-06-08 ·
fact · 目标设备范围 · → daily
- 2026-06-08 ·
fact · parameters · → daily
- 2026-06-08 ·
fact · architecture lineage · → daily
- 2026-06-08 ·
fact · inference memory footprint · → daily
- 2026-06-08 ·
narrative · Google involvement · → daily
- 2026-06-08 ·
fact · MoE routing mechanism · → daily
- 2026-06-08 ·
fact · MoE routing confirmation · → daily
- 2026-06-08 ·
narrative · collaboration with Google · → daily
- 2026-06-08 ·
fact · inference loading mechanism vs MoE · → daily
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