Google Just Killed Traditional Forecasting Meet TimesFM 2

GOOGLE RESEARCH TIMESFM 2.5: THE NEW KING OF FORECASTING? Google Research just changed the game for time-series forecasting with the release of TimesFM 2.5. In this video, we dive into the pretrained Time Series Foundation Model (TimesFM) and see how it is pushing the boundaries of predictive analytics. TimesFM is a decoder-only foundation model specifically designed to predict future trends in data. The latest 2.5 update, which dropped in late 2025, brings some massive improvements despite the model actually getting smaller. It now operates on 200 million parameters, down from the 500 million used in version 2.0, yet it supports a massive context length of up to 16,000—a huge jump from the previous 2,048 limit. KEY FEATURES OF THE NEW UPDATE: Continuous quantile forecasting up to a 1,000-step horizon via an optional 30M quantile head. Re-added covariate support through XReg. Removal of the frequency indicator for easier use. Faster inference possibilities with upcoming Flax support. While TimesFM is available as an official product within BigQuery, it is important to note that this open-source version on GitHub is not an officially supported Google product. STAY CONNECTED AND EXPLORE THE CODE: Main GitHub Repository: github.com/google-research/timesfm Official Research Paper (ICML 2024): A decoder-only foundation model for time-series forecasting Hugging Face Model Collection: Find all checkpoints at the TimesFM Hugging Face Collection Google Research Blog Post: research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/ HOW TO INSTALL AND GET STARTED: You can clone the repository directly and use the uv package manager to set up your environment for PyTorch or Flax. 1. git clone github.com/google-research/timesfm.git 2. cd timesfm 3. uv venv 4. source .venv/bin/activate 5. uv pip install -e .[torch] OR uv pip install -e .[flax] Check out the full documentation on GitHub for code examples on how to run your first forecast using the TimesFM 2.5 200M model. #ai #artificialintelligence #singularity #agenticai #deepseek #techevolution #futureofwork #softwareengineering #llm #codingagents #tdd #machinelearning #opensource #swebench #qwen #google #stitch #openai #anthropic #claude #openclaw #TimesFM #TimesFM2.5