AI can see. But understanding what it sees is an entirely different frontier.
About SN78 Umi
AI can see. But understanding what it sees is an entirely different frontier. Sign language isn't a collection of gestures. It's a complete language expressed through intricate handshapes, facial expressions, spatial relationships, and movements unfolding through time. A subtle change in finger position can change meaning. The direction of movement matters. Timing matters. Context matters. Teaching AI to understand all of this is an extraordinary challenge. That's what we're tackling at UMI. We're bringing together some of the most powerful technologies in computer vision and language intelligence: Seeing the visual details that movement tracking can miss. Mapping the geometry of hands, face, and body. Learning how motion and meaning evolve across time. Translating complex visual sequences into natural language. Specialized intelligence for precise fingerspelling recognition. And now we're training visual perception, motion understanding, and language processing together pushing these systems to learn from one another. Because recognizing movement is one thing. Understanding the language within it is another. We're building toward that future, one layer of intelligence at a time. UMI From motion to meaning. $TAO Bittensor base:0x6e2feee56bc5f0db2104ab1dac2cf1fb0334eb49
SN78 Umi at a glance
SN78, Umi (α token و), is one of the independent markets on the Bittensor network, each with its own α token and its own price. Its α currently trades at 0.003631 τ (≈ $0.97), against 1,438 τ of pool liquidity. On-chain, the best-delegated validator on it yields about 91.99% APR (simple) and 150.89% APY (compounded), emissions add 0.000050 τ to the pool each block, epochs run every 360 blocks. It was registered at block #7,966,145.
More from SN78 Umi
Taosis indexes announcements, articles, posts and releases about Bittensor subnets from their own channels and keeps a record of each. The text above is the source’s; the figures are read from the chain by Taosis.