- Pearl’s thesis rests on “duplex work”: the same GPU MatMul serves AI inference while earning PRL, giving hardware two monetization paths versus Bitcoin’s single security market.
- Because inference customers can cover GPU costs, duplex miners may not need to sell mined PRL; lower effective security costs and reduced marginal sell pressure could let demand outrun declining issuance.
- Key dependencies are AI-workload adoption and ASIC competition. The author sees risk as limited because AI firms optimize the same MatMul primitive, but a major early ASIC advantage could still sideline duplex miners.
Investment pitches
filter:
74 77 - Pearl (PRL) aims to be an “AI Bitcoin”: replace wasteful SHA-256 with useful matrix multiplication, verified by compact zero-knowledge proofs without subjective validators.
- Its 2:1 kernel lets inference providers mine PRL alongside paid workloads; reported overhead is 5.08% on Llama 70B and 3.9% on DeepSeek V3.2, potentially subsidizing cheaper inference.
- Together AI launched a Pearl-powered Gemma endpoint at 25%+ discount, but duplex miners are not yet dominant. Author’s 1%-of-Bitcoin scenario implies 30x on FDV or 117x on first-anniversary circulating supply.
- Upside requires FP8 and closed-source integration, lower overhead, useful miners becoming cheapest, PRL becoming compute money, and eventual protocol ossification.