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How Square uses Weights & Biases

As published on wandb.ai, October 2023. Captured by usedby on Oct 8, 2026.

What happened

Square's ML team uses Weights & Biases to store training data and models for its conversational AI tools, version and tag models as they move from shadow to challenger to champion, and track dataset and model lineage with Artifacts. The team also uses Reports to share experiment results.

Summary written by usedby from the source page, in English. The figures are those of Weights & Biases and Square, not ours.

With Artifacts, Square knows exactly which datasets are used to create their models—without second guessing or asking others.

From the page. wandb.ai, captured Oct 8, 2026

Now when we train, we don’t talk to S3. We don’t need to know details about where it’s stored. We just talk to the Artifacts registry and we can track the lineage for everything,

Ethan Rosenthal, AI Engineering Manager, Square. Source, captured Oct 8, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 8, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Square.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • Square uses Weights & BiasesCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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