1 September 2026

Google releases TimesFM-3 model for predicting trends

• Google built TimesFM-3, a time-series forecasting model trained on over 1 trillion data points to predict future trends.
• The model can make predictions across different types of data without requiring custom training for each specific task.
• TimesFM-3 uses 330 million parameters, a measure of the model's complexity and capability.

How it was covered

TLDR AITLDR editorial team

Google introduced TimesFM-3, a 330M-parameter time-series foundation model trained on over 1 trillion time points. It offers zero-shot forecasting across multiple targets without task-specific fine-tuning.