F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale
Facebook Feature Framework (F3) is Meta’s framework for authoring, compiling, and serving the machine learning features underlying ads ranking…
Why am I seeing this Ranked on recency
It is here mostly because it is new. Freshness is the largest single contributor to its score, which means nothing about the story except that it is recent.
Nothing much is corroborating this yet. On a quiet day in business that is enough to reach the top of the section — recency, not significance, is doing the work here.
StandardStandard, because a first-party source is on it, the subject was identified from the text, and it scores 0.47 against a bar of 0.50.
| Factor | Weight | Score | Contribution | Where it came from |
|---|---|---|---|---|
| Corroboration | 0.35 | 0.39 | +0.135 29% | 1 independent org on the story. Tier-3 aggregators never corroborate — they can show something is circulating, never that it is true. |
| Source trust | 0.25 | 0.55 | +0.138 29% | Meta Engineering is the highest-trust source on this story and is first-party — the organisation announcing its own news. Trust is taken from the best source, not averaged. |
| Pickup rate | 0.20 | 0.00 | +0.000 0% | One counted organisation, so there is no spread to measure — nothing has picked this up to set a rate. |
| Freshnessleads | 0.20 | 0.99 | +0.198 42% | Halves every 10 hours from the newest item on the story. This is the only factor that rewards a story for nothing more than being recent. |
Corroboration counts distinct organisations, once each, and only from tiers 1 and 2. Freshness halves every 10 hours, so this ranking is a snapshot and will differ at the next build.

What happened
Facebook Feature Framework (F3) is Meta’s framework for authoring, compiling, and serving the machine learning features underlying ads ranking models, where a single request can require more than 20,000 features. We first presented F3 at AI @ Scale 2020. F3 reduced execution computational costs by compiling all features into a single merged graph, but that..
How this story arrived
Ordered by when each source was first observed, which is what the velocity figure is computed from. Publishers backdate; observed order does not.
- 01 Fbfirst-party first seen F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale
Overclock clusters coverage from independent sources and grades it automatically. The figures above are computed, not editorial. This page summarises and links to reporting by the outlets named — follow the links for the original work.