source avatarLisa Florentina

āĻļ⧇āϝāĻŧāĻžāϰ
Share IconShare IconShare IconShare IconShare IconShare IconCopy

đŸĻĒ āĻĒāĻžāĻ°ā§āϞ āϰāĻŋāϏāĻžāĻ°ā§āϚ (āĻĒāĻŋāφāϰāĻāϞ): āĻāφāχ āĻ•āĻŽā§āĻĒāĻŋāωāĻŸā§‡āϰ “āĻŦāĻŋāϟāĻ•āϝāĻŧ⧇āĻ¨â€ – āϏāĻŽā§āĻĒā§‚āĻ°ā§āĻŖ āĻĒāϰāĻŋāϏāĻ‚āĻ–ā§āϝāĻžāύ āĻ“ āϏāĻ°ā§āĻŦāĻļ⧇āώ āφāĻĒāĻĄā§‡āϟ (⧍ā§Ļ⧍ā§Ŧ āĻŽā§‡ ā§¨ā§Ž āĻĒāĻ°ā§āϝāĻ¨ā§āϤ) @prlnet, āϝāĻž āĻĒāĻžāĻ°ā§āϞ āύ⧇āϟāĻ“āϝāĻŧāĻžāĻ°ā§āĻ• (āϟāĻŋāĻ•āĻžāϰ: $PRL) āύāĻžāĻŽā§‡āĻ“ āĻĒāϰāĻŋāϚāĻŋāϤ, āĻŦāĻŋāϟāĻ•āϝāĻŧ⧇āύ āĻĨ⧇āϕ⧇ āĻĢāĻ°ā§āĻ• āĻ•āϰāĻž āĻāĻ•āϟāĻŋ āϞ⧇āϝāĻŧāĻžāϰ 1 āĻŦā§āϞāĻ•āĻšā§‡āχāύāĨ¤ āĻāϟāĻŋ āĻĒāĻžāϰāĻŽā§āĻĒāϰāĻŋāĻ• SHA-256 āĻĒā§āϰ⧁āĻĢ-āĻ…āĻĢ-āĻ“āϝāĻŧāĻžāĻ°ā§āϕ⧇āϰ āĻĒāϰāĻŋāĻŦāĻ°ā§āϤ⧇ āĻŽā§āϝāĻžāĻŸā§āϰāĻŋāĻ•ā§āϏ āϗ⧁āĻŖāύ (MatMul)-āĻāϰ āωāĻĒāϰ āĻ­āĻŋāĻ¤ā§āϤāĻŋ āĻ•āϰ⧇ āĻĒā§āϰ⧁āĻĢ-āĻ…āĻĢ-āχāωāϜāĻĢ⧁āϞ-āĻ“āϝāĻŧāĻžāĻ°ā§āĻ• (PoUW) āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āĻ°ā§‡â€”āϝāĻž āĻŸā§āϰ⧇āύāĻŋāĻ‚, āχāύāĻĢāĻžāϰ⧇āĻ¨ā§āϏ āĻāĻŦāĻ‚ āĻĢāĻžāχāύ-āϟāĻŋāωāύāĻŋāĻ‚āϏāĻš āϏāĻŽāĻ¸ā§āϤ āĻĒā§āϰāϧāĻžāύ āĻāφāχ āĻ“āϝāĻŧāĻžāĻ°ā§āĻ•āϞ⧋āĻĄā§‡āϰ āĻŽā§‚āϞ āĻ…āĻĒāĻžāϰ⧇āĻļāύāĨ¤ āĻŽā§‚āϞ āϧāĻžāϰāĻŖāĻž: GPU-āϗ⧁āϞāĻŋ āĻŦāĻžāĻ¸ā§āϤāĻŦ, āωāĻĒāϝ⧋āĻ—ā§€ āĻāφāχ āĻ•āĻŽā§āĻĒāĻŋāωāĻŸā§‡āĻļāύ āϏāĻŽā§āĻĒāĻžāĻĻāύ āĻ•āϰ⧇, āĻāĻ•āχāϏāĻžāĻĨ⧇ āĻŦā§āϞāĻ• āĻŽāĻžāχāύāĻŋāĻ‚ āĻāĻŦāĻ‚ āύ⧇āϟāĻ“āϝāĻŧāĻžāĻ°ā§āĻ•āϕ⧇ āϏ⧁āϰāĻ•ā§āώāĻŋāϤ āϰāĻžāϖ⧇āĨ¤ āĻāϟāĻŋ āĻ•āĻŽā§āĻĒāĻŋāωāϟ āĻĒāĻžāĻ“āϝāĻŧāĻžāϰāϕ⧇ āĻŦāĻžāĻ¸ā§āϤāĻŦ āĻŽā§āĻĻā§āϰāĻžāϝāĻŧ āĻĒāϰāĻŋāĻŖāϤ āĻ•āϰ⧇, āϝāĻž āĻŦāĻŋāϟāĻ•āϝāĻŧ⧇āύ āĻŽāĻžāχāύāĻŋāĻ‚āϝāĻŧ⧇āϰ āϏāĻžāĻĨ⧇ āϜāĻĄāĻŧāĻŋāϤ āĻļāĻ•ā§āϤāĻŋāϰ āĻ…āĻĒāϚāϝāĻŧāϕ⧇ āĻĻā§‚āϰ āĻ•āϰ⧇āĨ¤ āĻāχ āĻĒā§āϰāĻ•āĻ˛ā§āĻĒāϟāĻŋ Pearl Research Labs āĻĻā§āĻŦāĻžāϰāĻž āĻŦāĻŋāĻ•āĻļāĻŋāϤ, āϝāĻž Omri Weinstein (āĻĒā§‚āĻ°ā§āĻŦāϤāύ NVIDIA, PAST Data, Hebrew University)āϏāĻš āĻŦāĻŋāĻ­āĻŋāĻ¨ā§āύāĻ—āϪ⧇āϰ āĻļāĻ•ā§āϤāĻŋāĻļāĻžāϞ⧀ āĻ—āĻžāĻŖāĻŋāϤāĻŋāĻ• āĻ­āĻŋāĻ¤ā§āϤāĻŋāϰ āϏāĻŽāĻ°ā§āĻĨāύ⧇āĨ¤ āĻšā§‹āϝāĻŧāĻžāχāϟāĻĒ⧇āĻĒāĻžāϰ āĻāĻŦāĻ‚ āĻ“āĻĒ⧇āύ-āϏ⧋āĻ°ā§āϏ āϕ⧋āĻĄ GitHub-āĻ (pearl-research-labs/pearl) āĻĒāĻžāĻ“āϝāĻŧāĻž āϝāĻžāϝāĻŧāĨ¤ ⧍ā§Ļ⧍ā§Ŧ āĻāĻĒā§āϰāĻŋāϞ ⧍⧭-āĻ mainnet-āĻāϰ āĻļ⧁āϰ⧁, 194-āϏ⧇āϕ⧇āĻ¨ā§āĻĄā§‡āϰ 평āĻžāύāĻŦā§āϞāĻ•āϟāĻžāχāĻŽ, 2026-āĻāϰ 27āĻļ⧇ April-āĻ mainnet-āĻāϰ shuru, 194-second-er shomoy-bhagno, sthira difficulty adjustment algorithm (WTEMA) er sathe. âœĻ Core Technology & How it works Pearl Bitcoin-āĻāϰ UTXO model, P2P network, and economic principles-āϕ⧇ retain kore, kintu PoW-āϕ⧇ cuPOW (MatMul-er maddhome custom proof-of-work) diye replace kore. Miners vLLM plugin er maddhome AI inference or training run kore, integrated MatMul kernel diye block generate kore. Normal compute-er shathe overhead kebol 0.5–10%, jeta miners ke near “2-for-1” benefit dey: te real AI queries serve kore PRL earn kore chain secure kore. - Mathematics: “Proofs of Useful Work from Arbitrary Matrix Multiplication” (arXiv 2504.09971) paper-er upor base kore. Standard naive MatMul O(nÂŗ) use kore—current NVIDIA/AMD GPUs er shathe fully compatible. Future upgrades (BF16, FP8) thorough testing er por plan kora hobe. - Security: zkSNARKs (Plonky2), post-quantum signatures (XMSS), and BLAKE3 commitments. ASIC-resistant by design, karon specialized hardware er AI utility value kharap hoye jabe. - Value Proposition: Bitcoin-āĻāϰ energy waste problem solve kore AI compute centralization (OpenAI, Anthropic etc. er domination) er shomadhan kore. PRL AI compute-er native “unit of account” hoye uporito hote chay, USDC jemon DeFi-te kaj kore. Omri Weinstein confirm korechen jemon design strictly naive MatMul-er upor depend kore na; protocol future Fast Matrix Multiplication advances er shathe adapt hoye jabe security compromise korte pare na. âœĻ Tokenomics & Economics - Total Supply: 2.1 billion PRL (Bitcoin-style but fixed cap). - Launch Fairness: No premine, no team tokens, no public sale or VC discounts. - Emission Schedule: Smooth daily polynomial decay (~1/t²), Bitcoin-style halving shocks avoid kore. Roughly 50% supply first 4 years-e emitted, tar por tapering off. - Price Floor: Directly tied to real AI compute costs (GPU + electricity). Jodi PRL production cost-er niche trade kore, miners exit kore difficulty drop hoy—natural equilibrium create hoy. Early May 2026-e production cost estimate kora holo ~$0.30–$0.51 per PRL. âœĻ Current Status (Updated May 28, 2026) - Mainnet & Hashrate: Live with initial hashrate around 3.56 EH/s (≈0.4% of Bitcoin’s). Supports only enterprise GPUs like H100/H200 (no consumer gaming cards). - Trading & Price Action: Primarily OTC with limited CEX/DEX liquidity so far. Price surged from ~$0.30 to $0.70–$1.20+ within weeks. Current FDV sits at approximately $2.4–2.5 billion (based on 2.1B total supply). Many early miners are realizing strong daily profits. âœĻ Onchain activity Pearl Research ($PRL)-āĻāϰ on-chain activity-e strong silent institutional accumulation dekha jay, wallet 0xFf09 (allegedly backed by a16z-affiliated 0xb5E) OTC platforms diye $1.5M er beshi PRL buy korte korte thake. Ei jonne Pearl blockchain-enabled AI computation-āĻ stealth liquid play hishebe position kore, @prlnet-follow kore such VCs er broad list er sathe— a16z crypto, Dragonfly, VanEck, USV, and Delphi. Aaj, $PRL $1.45-e pump hoyeche, jeta public hype bina PoUW model-e smart-money conviction-er signal. âœĻ Mining Community Sentiment: - Miners ei ke “8th wonder” boliye uchchhoy kore ~ true compound interest in action. - Early participants cheap GPU rentals secure kore, 3–5x profits flip kore scale up korar jonno reinvest kore. - Small miners groups daily tens of USD pocket kore, while larger operators $100–200+ per day earn kore. - Community “eating full” joto porjonto price hold kore. Don't fomo to rent GPU now. ➜ Pearl-certified Llama 3.3 70B models Meta-r original er theke higher throughput offer kore, and a fiat-powered GPU cloud platform allow users to run AI workloads while mining simultaneously.

No.0 picture
āĻĻāĻžāĻŦāĻŋāĻ¤ā§āϝāĻžāĻ—: āĻāχ āĻĒ⧃āĻˇā§āĻ āĻžāϰ āϤāĻĨā§āϝ āϤ⧃āϤ⧀āϝāĻŧ āĻĒāĻ•ā§āώ⧇āϰ āĻ•āĻžāĻ› āĻĨ⧇āϕ⧇ āĻĒā§āϰāĻžāĻĒā§āϤ āĻšāϤ⧇ āĻĒāĻžāϰ⧇ āĻāĻŦāĻ‚ āĻ…āĻ—āĻ¤ā§āϝāĻž KuCoin āĻāϰ āĻŽāϤāĻžāĻŽāϤ āĻŦāĻž āĻŽāϤāĻžāĻŽāϤ āĻĒā§āϰāϤāĻŋāĻĢāϞāĻŋāϤ āĻ•āϰ⧇ āύāĻžāĨ¤ āĻāχ āĻŦāĻŋāώāϝāĻŧāĻŦāĻ¸ā§āϤ⧁ āĻļ⧁āϧ⧁āĻŽāĻžāĻ¤ā§āϰ āϏāĻžāϧāĻžāϰāĻŖ āϤāĻĨā§āϝāĻ—āϤ āωāĻĻā§āĻĻ⧇āĻļā§āϝ⧇ āĻĒā§āϰāĻĻāĻžāύ āĻ•āϰāĻž āĻšāϝāĻŧ, āϕ⧋āύ āϧāϰāύ⧇āϰ āĻĒā§āϰāϤāĻŋāύāĻŋāϧāĻŋāĻ¤ā§āĻŦ āĻŦāĻž āĻ“āϝāĻŧāĻžāϰ⧇āĻ¨ā§āϟāĻŋ āĻ›āĻžāĻĄāĻŧāĻžāχ, āĻŦāĻž āĻāϟāĻŋāϕ⧇ āφāĻ°ā§āĻĨāĻŋāĻ• āĻŦāĻž āĻŦāĻŋāύāĻŋāϝāĻŧā§‹āĻ— āĻĒāϰāĻžāĻŽāĻ°ā§āĻļ āĻšāĻŋāϏāĻžāĻŦ⧇ āĻŦā§‹āĻāĻžāύ⧋ āĻšāĻŦ⧇ āύāĻžāĨ¤ KuCoin āϕ⧋āύ⧋ āĻ¤ā§āϰ⧁āϟāĻŋ āĻŦāĻž āĻŦāĻžāĻĻ āĻĒāĻĄāĻŧāĻžāϰ āϜāĻ¨ā§āϝ āĻŦāĻž āĻāχ āϤāĻĨā§āϝ āĻŦā§āϝāĻŦāĻšāĻžāϰ⧇āϰ āĻĢāϞ⧇ āϝ⧇ āϕ⧋āύ⧋ āĻĢāϞāĻžāĻĢāϞ⧇āϰ āϜāĻ¨ā§āϝ āĻĻāĻžāϝāĻŧā§€ āĻĨāĻžāĻ•āĻŦ⧇ āύāĻžāĨ¤ āĻĄāĻŋāϜāĻŋāϟāĻžāϞ āϏāĻŽā§āĻĒāĻĻ⧇ āĻŦāĻŋāύāĻŋāϝāĻŧā§‹āĻ— āĻā§āρāĻ•āĻŋāĻĒā§‚āĻ°ā§āĻŖ āĻšāϤ⧇ āĻĒāĻžāϰ⧇āĨ¤ āφāĻĒāύāĻžāϰ āύāĻŋāĻœā§‡āϰ āφāĻ°ā§āĻĨāĻŋāĻ• āĻĒāϰāĻŋāĻ¸ā§āĻĨāĻŋāϤāĻŋāϰ āωāĻĒāϰ āĻ­āĻŋāĻ¤ā§āϤāĻŋ āĻ•āϰ⧇ āĻāĻ•āϟāĻŋ āĻĒāĻŖā§āϝ⧇āϰ āĻā§āρāĻ•āĻŋ āĻāĻŦāĻ‚ āφāĻĒāύāĻžāϰ āĻā§āρāĻ•āĻŋ āϏāĻšāύāĻļā§€āϞāϤāĻž āϏāĻžāĻŦāϧāĻžāύ⧇ āĻŽā§‚āĻ˛ā§āϝāĻžāϝāĻŧāύ āĻ•āϰ⧁āύāĨ¤ āφāϰāĻ“ āϤāĻĨā§āϝ⧇āϰ āϜāĻ¨ā§āϝ, āĻ…āύ⧁āĻ—ā§āϰāĻš āĻ•āϰ⧇ āφāĻŽāĻžāĻĻ⧇āϰ āĻŦā§āϝāĻŦāĻšāĻžāϰ⧇āϰ āĻļāĻ°ā§āϤāĻžāĻŦāϞ⧀ āĻāĻŦāĻ‚ āĻā§āρāĻ•āĻŋ āĻĒā§āϰāĻ•āĻžāĻļ āĻĒāĻĄāĻŧ⧁āύāĨ¤