Announcing OpenLedger’s Mint Your Model Madness Reward Contest! Join our 1-week event on OpenLedger Testnet, a first-of-its-kind challenge to propose the future of decentralized AI and earn massive rewards, becoming a founder of tomorrow's AI economy. Propose your unique AI model idea via https://t.co/Yp7wk1uZhH and share your experience on X. When you post, explain your model's purpose and value, tag @OpenledgerHQ, and mention Mint Your Model Madness in every post. You can also choose to post a screen recording/video of your thoughts and processes about why you chose a specific model, what are the potential applications, how it can be scaled and much more Eligible post types include: •Screenshots of your model page •Cool names for proposed models •Funny captions about the experience •Insightful threads about your model idea •Ideas for future applications of your model •User generated visual content explaining their model Post as much as you like in these formats, but nominate up to 2 posts per day for testnet points consideration via the form next week. Minimum of 5 published nominations across 7 days is required to qualify for rewards. Missing more than 2 days will disqualify eligibility. Each valid nominated post earns 250 Testnet Points (nominate up to 2 per day). Complete all 7 days by nominating daily and earn up to a total of 4000 Testnet Points, which includes a 500 Testnet Points bonus for full participation. Testnet points track your long-term contribution and loyalty to OpenLedger and count towards higher testnet tiers. At the end of the week, submit your published post links through the nomination form we will provide. This is not just a contest; it is your gateway to becoming a builder. Propose. Publish. Win. Make history with OpenLedger!

OpenLora is the designated deployment engine for specialized models in the OpenLedger ecosystem. By leveraging just-in-time adapter switching, OpenLora enables the efficient serving of thousands of fine-tuned LoRA adapters on a single GPU, drastically reducing deployment costs. Unlike generic models, OpenLora-powered specialized models require fewer input tokens and produce more optimized, precise outputs - minimizing both input and output token size while delivering task-specific performance at scale. Faster, Smarter, and Specialized.

. @OpenledgerHQ x @eigenlayer: The full episode Our core contributor @Ramkumartweet sat down with @sreeramkannan (founder @eigenlayer) to discuss verifiable AI, crypto's app problem, AI's trust problem and much more Check out the video below to learn more Timestamps: 00:00 Sreeram's introduction 00:29 How to build verification for AI systems 01:27 The Crypto and AI problem 03:10 Unstoppable AGI 05:08 What is Verifiable AI 06:05 The Verifiability Problem with Centralized AI 07:15 The current state of AI and its future 08:48 How humans are getting better at intelligence extraction 10:31 What is OpenLedger doing 11:50 Where LLMs fall short and how co-ordination helps 12:50 SLMs are already there 13:29 Crypto as an incentivisation mechanism 15:38 Apps with commitments, achieving product market fit 16:50 Existing examples of commitments in society 18:24 Investable AI 19:00 Data contributors as co-owner 21:30 The solution for the incentivisation problem 22:25 Explaining explainable AI 23:58 Trusting the trustless way 25:07 Data is the new oil 25:40 The idea of openledger is very crypto native 26:50 David v Goliath (in the data perspective) 28:03 What Eigen is working on 29:06 Making unstoppable verifiable AI practically possible 32:20 What Sreeram uses for productivity 33:30 Make Eigen Labs agentic 34:16 (community question) How Sreeram frames his prompts 36:08 (community question) What's the momentum driver for blockchain apps and what is Sreeram most excited about? (ZkTLS) 38:54 (community question) Where is attribution and verification really needed in AI?