Gate Square “Creator Certification Incentive Program” — Recruiting Outstanding Creators!
Join now, share quality content, and compete for over $10,000 in monthly rewards.
How to Apply:
1️⃣ Open the App → Tap [Square] at the bottom → Click your [avatar] in the top right.
2️⃣ Tap [Get Certified], submit your application, and wait for approval.
Apply Now: https://www.gate.com/questionnaire/7159
Token rewards, exclusive Gate merch, and traffic exposure await you!
Details: https://www.gate.com/announcements/article/47889
Acceptable robots must pass the initial verification!
The reason surgical robots are accepted is not because they look smart, but because their precision has been uncompromising from the very beginning. Every movement, every judgment, must be controllable, reproducible, and accountable.
As autonomy continues to improve, these standards will only become higher, not lower. Regulation, safety reviews, and clinical implementation have never accepted the excuse of "trusting the system to be correct at the time." In high-risk environments, "trust me" is itself an unqualified answer.
The real questions are:
Why did the system make that decision at that moment?
Was the model used the declared one?
Has the reasoning process been tampered with or downgraded?
If these cannot be verified, autonomy cannot be scaled. The significance of Proof of Inference lies precisely here. It is not about making systems more complex, but about ensuring that every autonomous decision is verifiable. Instead of post-hoc explanations, it can be proven at the moment of action that it indeed operated according to the rules.
When autonomous systems enter critical fields like healthcare, industry, and public safety, verification is no longer an optional add-on but a prerequisite for autonomy to be valid.
#KaitoYap @KaitoAI #Yap @inference_labs