Beam (SN105) has officially deployed Prism, its new orchestrator scoring system, and made the code public for community audit. The launch represents the most decentralized version of the network released to date, replacing static weights […]
On May 12, Connito (Bittensor subnet 102) released its V1 whitepaper, and the timing feels deliberate. Decentralized AI training is hitting its stride: SN3 (Teutonic) just proved the network can handle base-model training at 80B+ […]
Const recently revealed that he runs six AI agents that operate without his intervention. They research, code, trade, and even mine TAO. More importantly, they pay for themselves: the trading agents generate PnL that automatically […]
Most investors approach Bittensor subnets without a working framework, and the cost of that approach has compounded across multiple cycles. Michael White returned to the Supercycle Podcast to lay out the one he uses, including […]
The Conviction upgrade goes live on Bittensor mainnet today. It is one of the biggest changes in subnet governance since dTAO, and the first mechanism in Bittensor’s history that meaningfully constrains how subnet owners can […]
The AI industry has spent the last few years obsessing over model size. Every few months, a new model arrives with a bigger context window, better benchmark scores, stronger reasoning, or more convincing demos. The […]
Trading edge in prediction and derivatives markets has always come from the math underneath: Distributions, probability cones, and the statistical shape of where prices are likely to go. The bottleneck has rarely been the math […]
Bittensor ($TAO) co-founder Ala Shaabana sat down with Oro (Subnet 15) co-founder and CEO Shardul Bansal for a long-form conversation covering the origins of the protocol, how its thesis has evolved, what most subnet builders […]
AI assistants have a memory problem: Each new conversation starts fresh, as the preferences, context, tasks, and detail all reset the moment a session closes. For light chat use, the limitation is tolerable, but for […]
In this video, TAO Templar (Travis) does a deep dive into Subnet 46: Resi, walking through what’s working, what’s still rough, and the typical messy path a young Bittensor subnet takes while refining its incentive […]
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