Google releases TimesFM-3: Multivariate time series foundation model
SaxenaNayan · x · 2026-09-01
Google Research introduces TimesFM-3, a next-gen time series foundation model with 330M parameters, natively pre-trained for multivariate forecasting. Trained on over 1 trillion time points, it delivers accurate multivariate forecasts in a single forward pass, outperforming other models on major benchmarks.
Related event: Google Releases TimesFM 3.0 Open-Source Multivariate Forecasting Model(3 posts)→
More from Models
- DeepSeek Flash Vision replaces Sonnet 4.5: 400% cheaper with better quality — bindureddy · 2026-09-01
- Developer: GLM feels GPT-5.3-level for coding but at a lower price — mariofilhoml · 2026-09-01
- Bitsec subnet outperforms Anthropic's hardened Fable 5 in bug detection — markjeffrey · 2026-09-01
- Qwen 3.8 27B with RLMs performs reliably for local deployment — generativist · 2026-09-01
- Observation: Qwen Agents Make Fewer Topology Errors in Chinese Contexts — cephaloform · 2026-09-01
- Claude Opus 5 accused of over-executing prompts, doing unnecessary work — Own-Adhesiveness-705 · 2026-09-01