Dad, geek, conversation liquidity provider. vrypan.net (home), /weatherxm (work), @l--o--l (fun). Also https://paragraph.xyz/@purplesubmarine

Capture verifiably real moments in the age of AI

The global, decentralized, weather network https://weatherxm.network/

The ondevice zk module from @faust expanded to all devices on @weatherxm  (cc @vrypan.eth ) to generate proof of untampered data including calibration, streamed to Blocksense network (zk oracle built by @zahary.eth ) and fed to products like Skysight (built by Matthew Scutter) is a match made in heaven 🤯

Wdyt?

@liftlines / ecosystem development for Nimbus client and Waku protocol 

On that note, may be we should all jump on a call ☺️

Thanks for point it out. I was uncertain in my use of the word ‘untampered’ and it was a crude attempt at articulating devices where a proof is generated of both weather data along with calibration of the device. Agree with your framing regarding ‘acceptable device data’. I think the issue with P2P Depin is that it’s important know that the device calibration is within range to ‘accept’ its data for further use!

IMO you should avoid saying "untampered" and use something like "attested" instead. It's always possible to screw with sensors and I think it gives a better mental model of the system when you know what devices you're actually relying on rather than data coming from an infallible black box.

wow, yes indeed it seems that flow would be equally important.

Thats pretty interesting, but couldn’t the reverse be true where blocksense uses zktech to guarantee untampered commands and data going out to actuators and sensors. Seems equally important from a security perspective because most of the threats would be external to sensors