Bittensor is strengthening its cryptographic defenses as its subnets work toward greater commercial adoption. On Novelty Search, Const and Mark Jeffrey explored the proposed security upgrades and their implications for the network.
The conversation also examined Bitcoin’s complementary role, the commercial promise of inference, and the longer development cycles facing research subnets.
Together, these themes offered a view of Bittensor’s progress beyond token prices, with security and useful output shaping its long-term prospects.
Stronger Wallet Security
The proposed security approach combines hash-based key protection with quantum-resistant signing options. Signing keys would remain off-chain, while hash-based commitments support verification and keys rotate with each transaction. Familiar address formats would remain intact, preserving compatibility with explorers and BTCLI.
Additional signing options, including Falcon, could be combined with traditional keys through multisignature arrangements. Accounts could then require several independent authorizations, reducing reliance on any single cryptographic system. The effectiveness of these protections would depend on implementation and adoption, with node keys also needing protection alongside users’ cold keys and hot keys.
Bitcoin and Bittensor’s Complementary Roles
Bitcoin’s neutrality remains central to its appeal, partly because it emerged outside a conventional company or venture-backed ownership structure. That origin supports its credibility as an asset beyond any single institution’s control. Its established position also attracts capital and lends legitimacy to the wider crypto industry.

Bitcoin provides a scarce monetary yardstick, while Bittensor coordinates the production of useful intelligence. The two systems serve complementary roles as AI expands what people can produce. TAO’s opportunity therefore rests on growing demand for Bittensor’s services, without needing to replace Bitcoin.
Inference Leads the Commercial Opportunity
Inference and utility subnets have the clearest near-term path to revenue because customers already need model access, compute, and supporting infrastructure. As capable open-weight models become more widely available, providers increasingly compete on the price, speed, and reliability of delivery.
Bittensor’s flexible mining model allows operators to adjust their participation as incentives and demand change. Research subnets face longer, less predictable development cycles, although progress in quantization and inference optimization shows how experimental work can produce practical applications. Aligning rewards with useful outcomes remains essential to that transition.
Transparency Remains a Priority
Privacy features are technically possible, but adding them would create trade-offs for a network that benefits from public scrutiny. A transparent base layer helps participants assess reward allocation, understand network activity, and identify potential exploitation.
The discussion favoured preserving this transparency while allowing privacy services to develop elsewhere. This approach would keep Bittensor focused on creating and allocating intelligence, with the broader ecosystem providing additional financial features.
Growth Through Independent Teams
The foundation’s limited resources have constrained coordinated marketing and capital deployment, while encouraging teams to develop their own capabilities. Its proposed role centres on targeted support as the ecosystem builds stronger commercial relationships and improves coordination.
Bittensor’s progress will depend on secure infrastructure and subnets that turn incentives into services customers continue to use. Inference is positioned to lead near-term revenue, while research offers a longer horizon for breakthroughs. The cryptographic upgrades strengthen that foundation, but adoption and useful output will determine how much of the network’s potential becomes reality.
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