Why is Pearl trending at Token2049?

Author: Little Cake
Walking around Token2049, you will find a name that appears with unusual frequency: Pearl.

It's not a new L2, nor an AI Agent platform; it's a mining coin. Whether it's Chinese KOLs or overseas practitioners/KOLs, everyone is being repeatedly brainwashed by this name. What is its magic?

What is Pearl doing?

Bitcoin miners consume electricity to calculate hashes, and once done, they discard the results, which have no use other than block production. Pearl says: Since miners need to use electricity anyway, why not let them compute something useful?

This is the core logic of Pearl's consensus mechanism, Proof-of-Useful-Work.

Pearl's miners do not compute hashes; they compute matrix multiplication. Matrix multiplication is the underlying operation for large language model inference, meaning that while miners are mining, they are theoretically helping AI run inference.

The publicly known founder, Omri Weinstein, is a PhD in mathematics from Princeton and a professor of computational complexity theory at Columbia University. The mining mechanism is called NoisyGEMM: miners use GPUs to compute matrix multiplication, BLAKE3 generates commitment values, and Plonky2 zero-knowledge proofs verify the results. The underlying fork is based on Bitcoin's btcd, with a maximum supply of 2.1 billion coins, no halving, and gradually decreasing output.

It claims to have a completely fair launch, with no pre-mining, no founder allocation, and no VC rounds, which is extremely rare for new projects in 2026.

Why are bulls excited?

On October 7, No Limit Holdings sponsored the first Pearl Connect event. Those bullish on Pearl have three main layers of logic.

The first layer is "AI version of Bitcoin."

PRL is a non-sovereign digital currency backed by computing power and energy economics. The lack of cash flow is precisely an advantage, as Bitcoin also had none in its early days. Early inflation is a necessary phase for all PoW coins; if you get through it, there is a currency premium. According to this logic, the current FDV of less than $3 billion is undervalued, with long-term bets on AI-native store of value, computing power settlement, and even agent payments.

The second layer is the theory of energy migration.

Bitcoin mining companies are subleasing their sites to AI data centers, and publicly listed mining companies reduced their computing power by about 75 EH/s in the first half of the year. Bitcoin can only compete with AI for electricity, while Pearl "expands with AI adoption." When the entire industry's electricity and GPUs are tilting towards AI, a PoW chain that moves in the same direction as AI naturally occupies a better ecological niche.

The third layer is the "2-for-1" unit economics. With the same GPU computation, one can earn inference revenue while mining PRL. Mining revenue acts as a "cashback" for inference services, driving down inference prices, which brings more demand, and more demand requires more computing power, leading to more PRL production.

Putting these three layers together, the bulls conclude: Pearl is not an ordinary mining coin; it is Bitcoin for the computing power economy era.

But there is a fundamental issue

Pearl's narrative is that "miners' computing power is doing useful AI inference," but the consensus protocol on the chain cannot actually distinguish whether the miners are performing real AI inference tasks or just computing a set of randomly generated matrices.

Pearl's own GitHub states clearly: mining is a "byproduct of matrix multiplication," and the underlying mechanism is called cuPOW, which proves "computational difficulty," not "computational utility." What the consensus layer sees is simply "you did indeed perform a matrix multiplication," but it does not know, nor can it know, whether this multiplication is helping Together AI run Gemma-4 inference or if the miner just randomly generated a set of numbers to compute.

This issue is technically called "job-binding failure": the consensus cannot bind the work proofs on the chain to the real inference tasks off-chain.

Worse yet, computing random matrices is cheaper than performing real inference tasks. Real inference requires loading model weights into memory, incurring significant I/O overhead; random matrices require no loading and can be computed directly, creating an economic incentive that naturally favors "garbage mining."

Academic papers have already provided empirical evidence. An analysis of 8,012 mining nodes found that mainstream mining software does not contain inference code at all. Researchers submitted 44 shares generated from random matrices, all of which were accepted by the network. This means that at least under the current version of the protocol, one can mine normally and receive rewards without doing any useful work.

The team's response to this is candid: core developers admit that "there are no metrics on-chain to measure the proportion of useful mining," and the founder acknowledges that "allowing miners to choose matrices inevitably permits garbage mining." Their argument is that in future protocol upgrades, when the cost of mining alone is much higher than the cost of producing inference byproducts, the economic incentive for garbage mining will approach zero.

On May 15, Pearl announced a partnership with the AI inference platform Together AI to run the Gemma-4 model inference using the computing power of the Pearl network, with prices more than 25% lower than the market.

Bulls see this as the commercial starting point for "useful work," while bears question that Together AI is performing inference on its own servers and then subsidizing prices with PRL tokens, meaning the miners' GPU computing power is not genuinely being utilized for Together AI's inference tasks.

In other words, this is more like a marketing subsidy rather than a computing power transaction; AI clients are paying in dollars, not PRL.

An Option

The Pearl mainnet launched on April 27, with approximately 450 million PRL currently in circulation, accounting for about 16% of the total supply, with an FDV of $2.8 billion.

There is a daily supply of about $1.35 million to $1.4 million in tokens, with corresponding daily trading volumes between $2 million and $6 million. Currently, it has only launched on a few small exchanges and exists in the OTC market.

Pearl has hit two of the strongest narratives for 2026: AI and fair launch.

In a cycle where VC coins are being criticized and AI is booming, "an AI mining coin without VC" is a textbook-level narrative positioning, and the heat at Token2049 is not coincidental.

However, there is a gap between narrative and mechanism. Pearl talks about "proof of useful work," but the protocol itself cannot prove that the work is useful.

Therefore, Pearl can also be understood as an option; you are buying the future where "GPU mining and AI inference can truly merge." If protocol upgrades can solve the garbage mining issue, and if inference demand really starts to settle with PRL rather than just subsidizing with PRL, this option has enough room for imagination and is enticing enough.