$APEEX
Cooling DownSnapshot Window: 2026-07-05 20:20 UTC · ← Back to Crypto Overview
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Normie #4940 has been burned burned by serc.eth 2613 / 10,000 burned normies.art
AI visual note: A pixel-art style portrait of a bearded figure wearing a beanie, rendered in dark navy blue against a white background.
Pearl's premise, from the @prlnet team: The scarce inputs behind modern AI are energy and data, and $PRL is minted directly from the compute that fuses them. Running the model and mining the coin are the same operation. [Spoken audio]: One could argue that the real currency is not money, it's energy and data. The two, what we collectively call compute, so the two scarce resources whose fusion creates intelligence is data and energy, data and compute. We believe that this dramatic shift in the production of knowledge compels us to rethink the fundamental property's purpose in the creation process of money, what money actually is. The basic scientific question that started this, the parole project, and we, Elon and I asked ourselves about a year and a half ago, was whether we can build a monetary currency directly from these two key scarce resources, data and compute. This is the motivation for this question, is not merely mathematical or philosophical. It is to address at least three core incompatibilities of the fiat system with emerging AI economy. The first one is that the unit economics of AI today is simply non-fungible. Not all LLM tokens are born equal. Producing a deep-seek R1 LLM token on NVIDIA Hopper has a very different physical cost production cost, then producing a reasoning token, a chain of thought of Quen-14B on AMD MI3s, right? So these are just two very different physical costs. The current crude market pricing of, you know, X dollars per million LLM tokens is at best a crude proxy for this actual energetic cost, but it hardly serves as a proxy for the data dimension, which is much more are elusive and harder to articulate. The second drawback or limitation is that in the current economy, AI consumers are completely left out of the upside of the wealth generated by AI. So AI users, like myself, who are just using cloud for coding or chatbots, we don't get an anthropic or NVIDIA share. Well, most of us, at least. But by doing so, yet consumers are the ones driving demand and model improvement through prompting RL, data labeling, RLHF, and so forth. But we don't really have a stake in the wealth generated by the AI revolution. So that's another part. The third one and final one is that in this era where autonomous AI systems are slowly penetrating our economy and driving a lot of the value, we must have an economic system that allows machines to participate alongside humans in the same ecosystem without onboarding KYC and identification. We just have to allow machines to somehow manage the two only resources we deposit in their hands or in their system, which is compute and data. So AI agents just receive two researchers, the data, the prompts, and the compute budget. And we believe AI agents should be able to transact seamlessly and directly using these resources and to manage them without any permissioned or regulatory or social restrictions with their obviously not subject to. So this is what we often call among ourselves money for machines. So it's money for machines and humans.
