Continuing from yesterday, what does exploring “low probabilities” with AI and blockchain entail, specifically in terms of phenomena?
One example is already implemented in SORA L2. Yes, it’s the feature that detects minor malfunctions in the drive early on. In this method, it’s well-suited for detecting phenomena where 99.999 percent may be without issue, but the remaining slight 0.001 percent could have significant adverse effects.
In this instance, detecting drive failures is considered a “low probability” event because taking measures before the drive fails is necessary to avoid severe consequences, such as data loss.
How does this sound? It’s crucial for both scientific insights and business aspects to have mechanisms for exploring such “low probabilities,” as they can significantly contribute to revenue.
We envision a system that uses AI-NFTs implemented in SORA L2 to build and investigate such logic. Moreover, the concept of exploring “low probabilities” is a generalization for those inquiries and detections.
