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Nov 4
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ProductsBuildersOfficialSelected01:32
F3 Lightning: Meta Speeds Up Ads ML Feature Deployment

Feature engineering pipelines, not model architectures, are often the real bottleneck in large-scale ads systems, and F3 Lightning targets exactly that gap. ML platform engineers building ranking or recommendation infrastructure can study how Meta compiles tens of thousands of features into one graph and what the next iteration changes. Meta published the full engineering write-up on 3 Nov 2026.

Primary sourceMeta Engineering BlogSource
Nov 3
ProductsBuildersSelected21:01
Baidu Apollo World World Model for Autonomous Driving Debuts

World models are becoming the training ground where driving policies are stress-tested before touching real roads, and Baidu's 2+3 criteria give the field a concrete checklist for judging them. Engineers working on autonomous driving, robotics or embodied AI can use the framework to benchmark competing world models. Baidu (Apollo) also signals how Chinese AV players are closing the sim-to-real loop domestically, a useful comparison point against Waymo and Tesla approaches.

Event
IT之家Source

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