ταο ☯️🆔
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Spot-Nav-Task Update 🤖🚀 We’ve integrated Envhub to provide a dedicated, deterministic environment for fair evaluation. The Pipeline: 🔹 Train: Large-scale RL navigation policy. 🔹 Eval: Zero-shot testing in Envhub’s frozen, reproducible envs. 🔹 Insight: Real-time Lidar + Front-Cam fusion for robust autonomy. $TAO @nvidiaomniverse #Robotics #Bittensor #Nepher






Advancing confidential computing for a more secure AI future. Together with @manifoldlabs, we’re exploring how Intel TDX and Intel Trust Authority help enable confidential workloads across decentralized infrastructure, including @TargonCompute's Targon Cloud platform—protecting data at rest, in transit, and in use.

I am pleased to announce that Stillcore Capital @stillcorecap has invested in Score (Bittensor Subnet 44) @webuildscore.

I continue to be impressed by the quality of Subnet founders in the Bittensor ecosystem, and @matthew_karas is no exception. I got to chat with him yesterday about everything he's building with @babelbit. Here's what we got into 👇 00:00–08:00 — Matthew's background & why Bittensor clicked 08:00–13:30 — What Babelbit Is: Real-time speech-to-speech translation...built to match human interpreters. 13:30–19:30 — Core Insight: Translation ≠ words. It’s meaning, context, and semtantic prediction. 19:30–24:30 — How Bebelbit Improves: Miners compete to upgrade the model & LLM judges score accuracy, latency, and nuance. 24:30–30:00 — Incentive Design: Everyone contributing earns. Top performers win big in competitive rounds. 30:00–39:00 — Structural Edge: Academia couldn’t fund this. Bittensor crowdsources model training at scale. 39:00+ — Endgame: AI interpreters → no language barriers. Every conversation becomes global.





