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๐Ÿ—ณ New Governance Phases: HMT Burn Mechanism โšก๏ธ ๐Ÿคฉ Starts approximately June 5, 2026 at 11:01 AM GMT+3 ๐Ÿ“Œ Phase 1: Immediate
๐Ÿ—ณ New Governance Phases: HMT Burn Mechanism โšก๏ธ ๐Ÿคฉ Starts approximately June 5, 2026 at 11:01 AM GMT+3 ๐Ÿ“Œ Phase 1: Immediate Burn Up to 500M HMT (50% of 1B total allocation) will be permanently burned by sending tokens to the burn address (0x000...dEaD). This reduces supply immediately. The transaction will be published publicly once confirmed. ๐Ÿ“Œ Phase 2: Protocol Burn Mechanism Up to 250M HMT will be allocated for ongoing burns tied to protocol usage. This includes a proposed 5% burn on every reward payout. Burns will be fully driven by on-chain activity, with no manual control, and a public dashboard will track all burn metrics. Both proposals aim to introduce immediate supply reduction and long-term deflation aligned with network activity. ๐Ÿ—ณ Vote here: https://governance.humanprotocol.org/#/proposal/106464103654835892069515278886570111035530905271008925813506944323969508039151 ๐Ÿ”—read more at: https://www.linkedin.com/posts/ansaqibdar_humanprotocol-hmt-governance-share-7468243416729157632-IGsU/?utm_source=social_share_send&utm_medium=ios_app&rcm=ACoAABAPjcABaqYNGuLbHwkVHQYK55KLWiYIntg&utm_campaign=copy_link โค๏ธ&Rt: https://x.com/i/status/2062601144615235787

A great deep dive into how AI, distributed work, and blockchain infrastructure are reshaping the future of digital labor. Thi
A great deep dive into how AI, distributed work, and blockchain infrastructure are reshaping the future of digital labor. This post explains why transparent and decentralized coordination layers like HUMAN Protocol matter more than ever in the AI era ๐Ÿ‘‡ https://www.linkedin.com/posts/ansaqibdar_humanprotocol-ai-decentralizedwork-share-7457350996470472704-Hf3E?utm_source=social_share_send&utm_medium=ios_app&rcm=ACoAABAPjcABaqYNGuLbHwkVHQYK55KLWiYIntg&utm_campaign=copy_link โค๏ธ&Rt: https://x.com/i/status/2052350654287360320

๐Ÿ–ฅ New Blog: Google Cloud Vision Evaluation (2025 vs 2026) We ran the same moderation test twice, one year apart, using ident
๐Ÿ–ฅ New Blog: Google Cloud Vision Evaluation (2025 vs 2026) We ran the same moderation test twice, one year apart, using identical conditions. The results were surprising: โ€ข 2025: ~3% of images flagged (15 false positives) โ€ข 2026: ~79% flagged (435 false positives) Not only did the number of false positives increase significantly, but the way content was classified also changed. ๐Ÿ‘‰ What does this mean? ๐Ÿ’ฌ Automated moderation signals can shift over time, and relying on them alone can create major inefficiencies in real workflows. Read the full analysis here: ๐Ÿ”—https://humanprotocol.org/blog/google-cloud-vision-evaluation---2025-vs-2026

๐Ÿšจ HuFi Campaign Is LIVE โ€” Donโ€™t Miss Out ๐Ÿšจ A fresh opportunity just opened. Get in early and secure your spot ๐Ÿ‘‡ ๐Ÿ”ฅ New Campaign โ€ข Live on HuFi Dashboard ๐Ÿ—“ Ongoing ๐Ÿ˜€ Reward Pool: Check campaign details ๐Ÿ‘‰ ๐Ÿ”—https://dashboard.hu.finance/campaign-details/0xe9EedBb654a6FAe96fbb0C9819c5E040C31dcd70โ 

๐Ÿšจ HuFi Campaign Is LIVE โ€” Donโ€™t Miss Out ๐Ÿšจ A fresh opportunity just opened. Get in early and secure your spot ๐Ÿ‘‡ ๐Ÿ”ฅ New Campaign โ€ข Live on HuFi Dashboard ๐Ÿ—“ Ongoing ๐Ÿ˜€ Reward Pool: Check campaign details ๐Ÿ‘‰ ๐Ÿ”—https://dashboard.hu.finance/campaign-details/0xe9EedBb654a6FAe96fbb0C9819c5E040C31dcd70โ 

Many AI breakthroughs donโ€™t actually come from new models.โ˜„๏ธ They come from better data. A great perspective on why data anno
Many AI breakthroughs donโ€™t actually come from new models.โ˜„๏ธ They come from better data. A great perspective on why data annotation and data quality are critical parts of the AI pipeline, with real examples from industries like autonomy and telecom. Take a moment to read the full post here ๐Ÿ‘‡ ๐Ÿ”— https://www.linkedin.com/posts/activity-7437776936690556928-gIkH?utm_source=share&utm_medium=member_ios&rcm=ACoAAA9IqU8BXGBU1sYIDhjvmn9v0OO1g_2z7jk โค๏ธ & Rt: https://x.com/human_protocol/status/2032388061997220186

Many teams chase millions of annotations in data labeling, but quality is what really matters. โญ๏ธ Clear guidelines, annotator agreement, and strong review processes often make a smaller dataset outperform a huge noisy one. โšก๏ธ Worth the read: ๐Ÿ”— https://www.linkedin.com/posts/activity-7436689736519376896-ODM1?utm_source=share&utm_medium=member_ios&rcm=ACoAAA9IqU8BXGBU1sYIDhjvmn9v0OO1g_2z7jk

AI companies need massive amounts of human work. ๐ŸŒ But coordinating thousands of contributors globally comes with big proble
AI companies need massive amounts of human work. ๐ŸŒ But coordinating thousands of contributors globally comes with big problems: payments, trust, transparency. ๐Ÿ’ฌ HUMAN Protocol solves this with decentralized infrastructure and smart contract escrow. โœ”๏ธ Simple breakdown here: ๐Ÿ‘‡ ๐Ÿ”— https://humanprotocol.org/blog/how-human-protocol-works โค๏ธ &Rt : https://x.com/human_protocol/status/2030991246248783908

AI doesnโ€™t start with models. It starts with humans. โšก๏ธ HUMAN Protocol + Salk Institute tested 5,581 images: โœ… Decentralized QA โ†’ 99.5% โœ… Traditional review โ†’ ~74.7% Structure > expertise. Thatโ€™s the future of reliable intelligence. ๐Ÿ”— Read more: https://www.linkedin.com/posts/activity-7427664392395247617-1no2?utm_medium=ios_app&rcm=ACoAABAPjcABaqYNGuLbHwkVHQYK55KLWiYIntg&utm_source=social_share_send&utm_campaign=copy_link โค๏ธ &Rt : https://x.com/human_protocol/status/2022715945945367030

โ˜„๏ธ $5.9M in volume from $100/day campaigns. โ˜„๏ธ โšก๏ธ Liquidity isnโ€™t about one-time spikes. Itโ€™s about sustainable momentum that
โ˜„๏ธ $5.9M in volume from $100/day campaigns. โ˜„๏ธ โšก๏ธ Liquidity isnโ€™t about one-time spikes. Itโ€™s about sustainable momentum that compounds over time. ๐Ÿ”— https://humanprotocol.org/blog/how-a-dapp-leveraging-human-protocol-generated-5-9m-in-xin-usdt-volume-in-january-with-100-campaigns ๐Ÿ‘ & Rt: https://x.com/human_protocol/status/2019460396822716760

๐Ÿ“Š HUMAN by the Numbers 26.9B tasks ๐Ÿ’Ž 29.6M transactions ๐Ÿ“ฅ 977K unique receivers ๐Ÿ“ฅ Real people, real work, real on-chain a
๐Ÿ“Š HUMAN by the Numbers 26.9B tasks ๐Ÿ’Ž 29.6M transactions ๐Ÿ“ฅ 977K unique receivers ๐Ÿ“ฅ Real people, real work, real on-chain activity. This kind of scale doesnโ€™t happen by accident. All the data is public if you want to dig deeper: ๐Ÿ”— https://dashboard.humanprotocol.org/graph โค๏ธ&Rt: ๐Ÿ”— https://x.com/human_protocol/status/2015462908872860042

Happy New Year ๐ŸŽŠ #HUMAN
Happy New Year ๐ŸŽŠ #HUMAN

HUMAN Protocol News - Statistics & analytics of Telegram channel @humanprotocolnews