RFTs Forecasts — Open-Method Live Weather, Seismic, Magnetic & Solar Monitoring

Spaces
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Hey everyone :waving_hand: I’ve just published a new Space: RFTs Forecasts.

It’s a simple, transparent “live console” built around my Rendered Frame Theory (RFT) approach. You type a location, hit Run Forecast, and it pulls live public data and shows what RFT is predicting right now across four domains:

  • Atmospheric (location-based)
  • Seismic (region mode or local-radius mode)
  • Magnetic (global Kp)
  • Solar (global GOES X-ray flux)

What I’m trying to do here is keep everything easy to follow: the Space shows the actual inputs it used, the computed values (z → τ_eff → index), and the decision rule that triggered the label (stable / monitor / watch / warning, etc.). If data isn’t available, it disables that domain instead of guessing.

To make verification quick, the Space includes direct links to the official sources (NOAA SWPC / Open-Meteo / USGS) so anyone can check results instantly.

I’d genuinely love feedback—whether that’s feature ideas, UI improvements, or stress-testing the logic with different locations.

:backhand_index_pointing_right: RFTs Forecasts - a Hugging Face Space by RFTSystems

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This is a solid approach — especially the choice to disable a domain when data isn’t available instead of guessing. That alone puts this ahead of most “forecast” systems.

I also appreciate the explicit surfacing of:

  • raw inputs,

  • computed intermediates,

  • and the decision rule that triggered each label.

That transparency turns the Space into something closer to an inspectable system rather than a black-box predictor.

One thing I’m curious about: how do you think about durability over time?

In other words, if someone revisits a forecast later, what guarantees (if any) exist that:

  • the same inputs still resolve,

  • the same computation path applies,

  • and the result can be independently re-verified rather than just re-computed?

Not a criticism — just an interesting boundary between live prediction and verifiable historical claims. Overall, very clean work.

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