FM News
Founder Mode reads
Stop over-engineering forecasting; zero-shot multivariate models are now the baseline
◆ 85RelevanceOn a story from Google Research1mo ago
High-accuracy multivariate forecasting no longer requires massive proprietary datasets or custom training loops for every use case. If your product predicts demand, prices, or metrics, you should test this model as your performance baseline before investing in bespoke ML.
Takeaways
- Foundation models are replacing custom-built pipelines for multivariate time-series data.
- Zero-shot capabilities significantly reduce the cost and time of adding predictive features.
- Benchmark your current forecasting logic against TimesFM-3 to justify further R&D spend.
Read the original at research.google
TimesFM-3: A zero-shot foundation model for multivariate forecasting
fmode.me/n/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to Google Research.
More from FM News
Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline1 pts · Hugging FaceWhen it came to Cal AI’s viral success, a small army of influencers paid off1 pts · TechCrunch AI40+ startups calling BS on AI fakes1 pts · CB InsightsHackers hijacked 1,900 GitHub accounts. Then they went after 30,000 repos.1 pts · The New Stack