
google-research/timesfm · 22 Jun 2026
Google’s 200M-Parameter Bet That Forecasting Doesn’t Need an Expert
TimesFM treats contiguous slices of time as tokens, promising accurate predictions without the domain-specific tuning that ARIMA demands.

Nathan Brooks covers model releases and training research. He reads the paper before the press release and is happiest when a new model ships with numbers he can reproduce.

TimesFM treats contiguous slices of time as tokens, promising accurate predictions without the domain-specific tuning that ARIMA demands.
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