I’m not so sure mocking is really that on point, a tool used to understand avalanche safety should be safe. The product copy highlights safety and the value of providing a recommendation instead of having to collate and synthesize different data yourself.
Avalanche risk and its management are unknown to me, but not to ski patrols, experienced backcountry trekkers, scientists, and national weather services of many countries, etc. I saw no evidence of trials to test to see how the technology performs against real conditions.
If you can’t trust this product’s recommendations within some margin of safety then it’s value proposition disappears.
Why not market it instead as an experiment and seek some way of collecting data to improve the process or develop a model fine tuned to the inputs?
Is it just me, or does it seem extremely dangerous to market: “Strata doesn't just show the data. It makes the call.”
The page states it’s powered by Claude with nothing I could see that relates to its performance, metrics, processes, testing, etc. for something expected to be used in a safety application.
Starting at approximately 16:00 UTC, we began experiencing Azure Front Door issues resulting in a loss of availability of some services. We suspect that an inadvertent configuration change as the trigger event for this issue. We are taking two concurrent actions where we are blocking all changes to the AFD services and at the same time rolling back to our last known good state.
We have failed the portal away from Azure Front Door (AFD) to mitigate the portal access issues. Customers should be able to access the Azure management portal directly.
We do not have an ETA for when the rollback will be completed, but we will update this communication within 30 minutes or when we have an update.
This message was last updated at 17:17 UTC on 29 October 2025
Avalanche risk and its management are unknown to me, but not to ski patrols, experienced backcountry trekkers, scientists, and national weather services of many countries, etc. I saw no evidence of trials to test to see how the technology performs against real conditions.
If you can’t trust this product’s recommendations within some margin of safety then it’s value proposition disappears.
Why not market it instead as an experiment and seek some way of collecting data to improve the process or develop a model fine tuned to the inputs?