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FLock.io
@flock_io
Not your models, not your AI
577 Following    175.5K Followers
Last week marked the close of Cohort 2 of @UNDP_AltFinLab #SDGBlockchainAccelerator’s# post-acceleration programme, with Cohort 3 on the horizon. Two featured projects came from FLock’s track, showing how blockchain and AI can improve public infrastructure and create real-world impacts. More details 🧵
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The next FOMO season belongs to real builders and believers. Ship AI cheaper with FLock API and FOMO. Ride the next AI supercycle. Get Model Tokens:
Why FOMO is going to change the AI model economy. As API demand for agents like OpenClaw, Hermes Agent, and multiple third-party models grows over time, the competition for $FLOCK rewards becomes increasingly usage-driven. Usage = rewards.
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What does it mean for everyone? For builders: If you build tools or agents using FLock API Platform, you are no longer just paying for compute. Stake MT of the model you use to enjoy a discount, and earn $FLOCK + MT incentives. Inference costs become even lower. For MT holders: You now gain exposure to the explosive demand for models like Kimi, DeepSeek, GPT, Gemini, and more in the era of agentic AI. For $FLOCK holders: Emissions become harder to dilute when only active users earn, not farmers. A more sustainable tokenomics is built on demand and value accrual.
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gmFLOCK introduces ecosystem-wide amplification. By locking $FLOCK for gmFLOCK, you will earn more reward exposure across multiple MTs on FOMO, not just one. This aligns long-term holders with the overall ecosystem performance.
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How is it possible? Every FOMO MT represents a tokenised version of the AI model hosted on FLock API Platform. When users call a specific model, they generate demand for that MT. Staking MT of the AI model you actually use increases your weight in the reward system while having certain discounts for your model usage.
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$FLOCK continues the base incentive asset across the economy built around AI models. What's different now is that $FLOCK is driven by AI inference usage from FLock API Platform, triggering organic $FLOCK demand ties to modern AI developments.
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The mechanism is simple: FLock API Platform usage → AI inference spend → FOMO's Model Token (MT) demand → stake MT of the model you use → increase reward weight and enjoy inference discounts at the same time → earn more $FLOCK emissions + MT incentives. Rewards are now tied to real model usage, not just staking.
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FOMO Reward Season 1 is live. AI inference now fuels an onchain reward loop on @base. Rewards are now open for users to earn and claim — through real AI usage. This is not an incentive program for speculators, but real AI users.
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FOMO Season 1 is almost here. Not another farm. Use the API. Stake the Model Tokens you actually use. Earn from real AI demand. The earlier you understand the game, the better positioned you are. More soon.
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helping the world with AI!
✨ Across Cohorts 1 and 2of the #SDGBlockchainAccelerator#, government or public-sector entities were involved in 73% of solutions, with more than 120 external partners contributing across the portfolio. That changes the quality of the work! 🌟 This collaboration map shows the model behind that process: UNDP Country Offices, solution makers, partners, governments, public institutions, local stakeholders, communities, startups, developers, and innovators working around development challenges that already exist. 💫 That is also why the upcoming Demo Day matters! 📅 12 May 2026 | 🕓 4:00 PM CET | 💻 Online Register for Demo Day 👇 @FreedomPayWalet, Origen Latam, @ZengateGlobal, @DigiBankar, @Plastiks_io, @paonbleuht, @Bousolapp, Kura (Techstars '24), and Anam145
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AI transformation is happening right in one of South Korea’s most dynamic cities. What we saw at “AI Transformation 2026: AX Networking Day”, which we co-hosted with @rocketpunch_kr - Korea’s largest business networking platform - was not hype but real AI in business. More👇
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OFFICIAL: to become the key technical partner for Sarawak’s sovereign AI in partnership with Sarawak Artificial Intelligence Centre (SAIC) and University of Oxford. The focus is on federated learning and privacy-preserving AI infrastructure across Sarawak’s priority sectors.
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BREAKING: is the ONLY technical partner in an MoU signed by Sarawak Artificial Intelligence Centre (SAIC) during the UK–Sarawak strategic roundtable in Manchester to advance sovereign AI in Sarawak through federated learning and private AI infrastructure. We are the first in the world to use FL to train and fine-tune a language model on indigenous languages.
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Forward to community
FLock's Chief AI Scientist, Prof. Zehua Cheng (@zehuac), gave a lecture at Korea University on 'Building Reliable and Trustworthy LLM' - joined by both the dean and vice-dean of the School of Cybersecurity, alongside FLock's CEO & founder Jiahao Sun (@0x7SUN). A full house of cybersecurity students with thoughtful questions all the way through. The next generation isn't just curious about AI - they want to build it right.
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.@deepseek_ai V4 Pro and V4 Flash are now live on FLock API Platform. Frontier coding at $0.28 per million tokens. V4 Pro: 1.6T/49B active, ranked top 2 open model on the Intelligence Index. V4 Flash: 284B/13B active, Sonnet 4.6-level reasoning. Both 1M context, open-weight, hybrid thinking modes, and configurable reasoning modes. This is just the beginning. More models are coming soon.
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AI that keeps running, even when infrastructure fails.
The gap between AI potential and AI adoption isn't technical; it's practical. This Thursday, our Founder & CEO, @0x7SUN, is leading a hands-on workshop with @UNDP and @UNDP_AltFinLab, guiding staff to build their first AI agents and applying them to real workflows. Whether you’re working in planning, operations, data, or human resources, you’re welcome to join and share feedback. 📅 March 19, 2026 at 8:30 AM GMT | Live on FLock’s 𝕏 and LinkedIn
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