This has been around a few months now, has anyone built anything on it?

we did some internal tests. The quality isn't bad, it works quite well. But it's essentially on the same level of an ARIMA model trained on the data just much bigger and slower.

So in my opinion it currently falls into a kind of void. If your use case is worth predicting and you put a data scientist on it, you're better off just training cheaper ARIMA models.

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clarionbell 7 hours ago | parent [-]

That is disappointing. One would say that with all the budget and compute, Google would be able to create something that beats methods from 70s. Maybe we are hitting some hard limits.

Maybe it would be better to train an LLM with various tuning methodologies and make a dedicated ARIMA agent. You throw in data, some metadata and requested window of forecast. Out comes parameters for "optimal" conventional model.

	▲	magimas 5 hours ago \| parent [-]
		I think this could be an interesting read for you, I read it last week and it kind of argues the same points: https://shakoist.substack.com/p/against-time-series-foundati...