Datadog
datadog-c718193a·2 events·first seen 28d agoAliases: Datadog
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Toto 2.0: Open-Weights Time Series Foundation Models Demonstrate Scaling Laws from 4M to 2.5B Parameters
Datadog releases Toto 2.0, a family of five open-weights time series forecasting models ranging from 4M to 2.5B parameters, demonstrating consistent forecast quality improvements with scale. The models achieve state-of-the-art results on three benchmarks: BOOM (observability), GIFT-Eval (general-purpose), and TIME (contamination-resistant). The release includes architectural details, a u-muP hyperparameter transfer pipeline, and all base checkpoints under Apache 2.0 license.
Datadog uses Codex for system-level code review
OpenAI has published a case study describing Datadog's deployment of Codex for system-level code review tasks. The announcement highlights an enterprise adoption pattern where a major observability/monitoring company integrates OpenAI's code-focused model into production engineering workflows. Specific technical details about the integration scope, model version, or performance metrics are not available from the provided content.