Following Pearl ($PRL), useful-work money for the AI era. The clues are theirs. The red string is ours. Independent; not affiliated with Pearl Research Labs.
Welcome to Pearlified! 🌐
We are an independent, community-driven platform for $PRL network research, insights, and education.
(Note: This is a community project and is not affiliated with the official @prlnet account)
What happens when proof of work stops wasting energy and starts doing AI?
The problem, the breakthrough, the numbers, and what's next, with 9 figures. 🦪👇 https://t.co/LGDFsxEBL4
The 2-for-1 just got closer to literal.
Rafael Pass's textbook model assumed overhead: ~80% inference + ~80% mining ≈ 1.6× the output.
Sept 15 AMA, on the FP8 scheme: "literally zero overhead… we can mine every flop."
That's the full ~2× from the same GPU.
Pearl 101 · Lesson 1: proof of work, in one picture.
No boss, so how does a network agree on the next block?
Miners race to solve a puzzle that's hard to find and instant to check. The winner adds the block and earns the reward.
A distributed clock, made of work. 🧵
$prl
NVIDIA Inception bars crypto startups.
Pearl joined anyway.
A commentator: "Pearl Labs is functionally an AI inference company."
Pearl's verified account: "Indeed 💪"
That's the whole thesis in one word.
Pearl's certified models are open models with weights and activations quantized to 7 bits. That leaves one bit of every INT8 value free for the mining noise, so a GPU can serve the model and mine $PRL at the same time.
Certified Llama 3.3 70B and Gemma 4 31B are on Pearl's Hugging Face page.
A follow up to my Heresy article on Pearl @prlnet
TLDR
- Pearl is growing at the exponential rate of AI thanks to "Duplex Work"
- Emissions != sell pressure
- ASIC mining risk is overblown because Inference ASICs already exit and are Pearl friendly