Today we’re introducing something completely new: DSperse. It’s our framework for unbreakable AI — bringing strategic verification to machine learning. learn more from our whitepaper.

Colin Gagich shared his founder journey — from hitchBOT to building verifiable AI at Inference Labs. The energy in the room was amazing, and the support from Toronto’s tech community was truly inspiring.

AI benchmark leaderboards are cluttered with cherry-picked and sometimes fabricated results, eroding trust in reported performance. Understanding why this matters reveals how distorted metrics can be misleading.

A few weeks ago, our co-founder Colin spoke at Google’s ZK & AI Summit.He shared why full-model zkML is hitting practical limits — and how we’re working on faster, lighter ways to solve this issue. Here’s a clip from his talk — with a glimpse of what’s coming next.

AI faces a growing credibility crisis — silent model swaps and opaque management are eroding trust when it matters most. Subnet 2 introduces real-time cryptographic verification, setting a new benchmark for dependable, accountable open-source AI.

‍

On Aug 12, Omron passed 281M zkML proofs. Just 8 days later, we’ve already verified 283M proofs — all open, decentralized, and on-chain: https://t.co/kVc58Rr5U7