A common critique on Proof-of-Useful-Work is that the zero marginal cost of mining drives the network’s security budget and price to zero.
A paper just released by Rafael Pass, a renowned cryptographer at @Cornell /@TechnionLive and research scientist at Pearl Research Labs
Pearl Research Labs
13 posts
¶ Pearl is a mathematical breakthrough that redefines the unit economics of AI.
Bootstrap the 2-for-1 Pearl Kernel here: compute.pearlresearch.ai.
Joined March 2026
- Pearl Research Labs repostedWill Fast Matrix Multiplication ever be practical? Strassen’s 1986 discovery of fast matrix multiplication (FMM) – asserting that the product of two 𝑛×𝑛 matrices can be computed in sub-cubic time 𝑛^𝜔 ∼ 𝑛²·⁸⁷ ≪ 𝑛³ – had a profound impact on theoretical computer science
- Inference is becoming the largest compute market and energy consumer in AI. Pearl turns inference CapEx of hyperscalers into a profit center: every LLM token produced by GPUs can simultaneously generate ¶PRL in parallel. That means users get 2-for-1 economics: useful inferenceIntroducing Gemma-4-31B-it-Pearl on Together AI, Pearl Research Labs’ instruction-tuned checkpoint of Gemma 4 31B powered by @prlnet Proof of Useful Work protocol. AI natives can now use this Pearl model as a serverless inference endpoint on Together AI, at a 25%+ discounted
- "The real limit to AI is not energy, it is actually cash"
00:00 - Demand for Pearl is skyrocketing. @prlnet We’ve opened up a compute platform for the people — first come, first served, with limited supply. We’re working hard to expand capacity. Subscribe for updates: compute.pearlresearch.ai
- Privy CEO @sternhenri sees three big trends in stablecoins and the blockchain growing in the future: "First, we're going to see a rise of non-dollar stablecoins as more people embrace them." "Second, I've heard of a few projects that are trying to have an inflation stablecoin.
00:00 - 2-for-1 Inference on Gemma4 is now available on Pearl!
- Every era has a resource so fundamental it becomes money. Bitcoin turns energy into currency. Trustless, global and censorship-resistant. AI is doing something even more powerful: it turns energy into intelligence. Deployable anywhere and useful for almost everything. But
- It is becoming increasingly clear that the future economy will be denominated in compute cycles more than in human labor. In a world where AI drives the majority of electricity consumption and GDP, compute is the natural collateral for money: an open, auditable, AI-native






