Trishool Launches as New Subnet for AI Safety and Alignment

Trishool Launches as New Subnet for AI Safety and Alignment
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A major development unfolded as Trishool officially launched on the Bittensor network. Positioned as an AI safety and alignment subnet, Trishool introduces a decentralized marketplace for adversarial testing, cryptographic safety proofs, and model robustness scoring. The initiative arrives at a moment of rising global concern over AI acceleration, with regulations like the EU AI Act and forecasts of a $2.5 trillion AI security market underscoring the urgency.

Trishool’s central mission is rooted in what its creators call the “Velocity Problem.” AI compute capacity is doubling every three to four months, while safety testing lags far behind, often constituting less than one percent of development budgets. Traditional guardrails—such as static filters from centralized labs—are seen as inadequate for models approaching superintelligence. Trishool proposes a different approach: shaping AI’s optimization landscape toward safety through decentralized incentives, similar to how gravity curves spacetime.

The subnet launches with support from established Bittensor players GTAO Ventures and Yuma Group, both known for their expertise in complex subnet design. Its timing is strategic, arriving ahead of the upcoming Bittensor TAO halving, when emission scarcity heightens competition and rewards accrue to subnets that demonstrate real-world impact. The backdrop is a surge in AI lobbying—over $50 million spent in 2025, including $2.1 million from OpenAI—a trend Trishool critiques as contributing to “safetywashing,” where safety claims rise in tandem with unchecked capability gains.

As pressure mounts to develop “safe superintelligence,” Trishool positions itself as one of Bittensor’s most ambitious attempts yet to anchor the future of AI to verifiable, decentralized guarantees.

What do you think is the netuid of this subnet?

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