Google's open-source TimesFM does zero-shot forecasting for sales, demand and prices on 100B data points
AiJohnAllen · x · 2026-09-07
A widely shared post highlights Google's TimesFM, an open-source time-series forecasting model that can zero-shot predict sales, demand, market prices, web traffic and crypto volatility. Key claims: trained on 100B real data points, works zero-shot without per-task training, runs fully locally for privacy, and is free — replacing weeks of bespoke model training with instant inference.
More from Models
- Meta researcher: horrifying infra, not talent, is why OSS can't catch closed frontier — A_K_Nain · 2026-10-23
- TypeSafe's Jev: a "Decision Model" LLM That Returns Floats at $0.042/M Input Tokens — ariG23498 · 2026-10-23
- Microsoft's MAI-Base-2 scaling ladder pegs the L42 run at ~1.8×10^23 FLOPs — teortaxesTex · 2026-10-23
- Local model agentic coding benchmark: 27B matches 125B, tool-calling is the lever — Joralk_ · 2026-10-23
- NVIDIA open-sources PersonaPlex-7B, a full-duplex voice AI model that listens and talks simultaneously — solyarisoftware · 2026-10-23
- NVIDIA's KumoRFM-2: a foundation model that predicts churn, fraud and demand straight from relational databases — solyarisoftware · 2026-10-23