aka, Decentralised Machine Learning Stiftung, a Swiss foundation committed to advancing the development, growth, and decentralisation of FLock technology
Over 417,074 $FLOCK has been burned since FOMO Season 1 began!
FLOCK is the capital asset of FLock. With 100% of gmFLOCK conversion fees now permanently burned, FLOCK is on the road to becoming deflationary.
More usage FLock ecosystem (AI Arena, FLock API, FOMO). More fees are generated. More FLOCK will be removed from circulation.
FLock Foundation has re-locked 10 million $FLOCK for another year to mint gmFLOCK.
Total minted gmFLOCK has now surpassed 55 million, with an average lock period of 364.5 days since FOMO Season 1 began.
By locking FLOCK for gmFLOCK, users gain access to training, validating, and delegating in AI Arena, as well as receive boosted rewards when staking Model Tokens on FOMO.
As @flock_io grows, so does the role of gmFLOCK in aligning ecosystem participation with incentives and sustainable tokenomics.
3/ Mining FLOCK is getting competitive. Very competitive. Some would say incredibly competitive.
Costs are going up, which is what happens when the network gets popular. Beautiful problem to have.
So today, we’re lowering the gmFLOCK conversion fee to 2.28%.
And what’s more: from today on, 100% of gmFLOCK conversion fees will be burned.
Lower fee. Full burn. Great FLock. Always has been.
1/ The FLock Foundation has initiated FLOCK from @base to @solana using Base’s official decentralised Base-Solana bridge.
FLOCK’s Solana SPL Mint: FmysnoAQ7ifx3La6C7D9cM5tcpoTxEnakbnZPhrC2pJi
3/ The FLock Foundation and team do not provide any official bridge program to the public. Please refer to @base's official doc for any bridge-related actions: https://t.co/lUWr47Di1v
By using any third-party bridging services, you acknowledge that https://t.co/hCmbd2h8Cm is not responsible for any losses, malfunctions, or systemic failures resulting from any third-party infrastructures.
FLock Foundation’s Official Delegation Pool is now live.
With a 95% reward-sharing ratio, we’re returning the vast majority of incentives directly to our supporters.
Coinbase Ventures shared the ideas they’re most excited about for 2026, including privacy and AI for onchain development.
As AI agents take a deeper role in both onchain and offchain execution, privacy becomes the baseline. The challenge is how to build stronger AI on high-quality, real-world datasets without exposing them via centralized training.
FLock is scaling AI training with decentralized Federated Learning, so you can privately train and own your AI models.
Huge validation for FLock at Cambridge University yesterday.
Our Chief Scientist, @zehuac, presented FLock's decentralized training tech stack to senior leaders in public policy and distinguished university scholars from the UK.
These are experts whose work is deeply focused on responsible AI development, including data sovereignty, compliance, and biomedical AI - fields that require collaboration, precision, and privacy.
The future of AI must be private, sovereign, and verified.
Presenting our infrastructure to rigorous academic review is how we set the bar for what DeAI should be: open, proven, and built for real-world application.
Ideas are cheap. Execution wins.
If you're building AI apps on @baseapp and the X402 protocol, build with us.
The FLock x Qwen SKYST Hackathon on Base submissions closes on Nov 22.
All prize details and tracks are here ↓
https://t.co/VvMyqPxFin
We've made many product upgrades this year, from Tokenomics v2 with gmFLOCK, the AI Arena v2.1, to the FLock API Platform, which is part of Moonbase.
Up next is FOMO, a fair launchpad for anyone to launch model tokens in exchange for hosting services on the FLock API Platform.
The global centralized AI boom is built on a fragile foundation.
Tech stocks have driven most of the market’s gains this year, and major investors are starting to ask whether the promised productivity and economic benefits will actually arrive.
What's the solution?
If you’re building an AI app or agent that needs domain-specific, privately trained models
If you’re an AI engineer, a dev, or even a non-tech user
We’ve built FLock to make AI training accessible and rewarding for everyone, with full privacy.
As our CFO @cosmeticfish always likes to say: “Only FLock can do.” 🟦
Exciting news from London! 🇬🇧
Yesterday at DAI 2025, the premier global forum for Distributed AI, featuring top-tier research, including select papers from sister conferences like NeurIPS, ICML, and AAAI, our VP of DevRel, @YifanX, presented our paper, "AI Arena: A Blockchain-Based Decentralized AI Training Platform," co-authored by Zhipeng Wang, @rui_sunn, @elizabethluihy, Tuo Zhou, @yyyzzgc, and @0x7SUN.
The work was shared in the session chaired by Prof. Tianpei Yang (Nanjing University). 👇
Proud moment for the FLock research team.
We presented at the 1st Workshop on AI for Real-world Challenges (AI4RWC), co-located with the 24th International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2025) in London on Nov 15.
We’re still, and always will be, a research-first team. Fundamentals matter, especially when building AI for the real world.
More details👇
Alhamdulillah for AI? This week, Joey & Haroon join @momarikar to talk faith and technology. From God to good governance, parenting and purpose, how people of faith understand conscience and consciousness to gratuitous Star Trek & Battlestar Galatica references, this was a fun one.
https://t.co/201oCYJkjA
We're tagging @flock_fnd but not sure if we should tag Taylor Swift? (Asking for a friend)