As the old guarantees of central banks and broadcast media fail—eroded by financial repression and a sea of synthetic AI content, a new monetary stack is emerging.
It will not backed by authority, but by verification.
Cooking something big to release in the coming days while our audit is in progress.
The US government is shut down for a month.
Global tensions rising as trade unwinds and private credit is exploding.
USD debt nearly crosses $40 Trillion as fiat money becomes worthless.
But FLOPs is still building. Smart contracts are ready for audit:
https://t.co/X5CS0yHwKn
Quick updates:
- Gensyn RL-swarm node has been mining for over a full week. Will be expanding soon to multiple nodes with an automated orchestrator.
- Smart contracts are nearing 80% completion and will be shared publicly so the community can follow along with our progress.
gg
Deep work mode has been engaged for some time now. We're wrapping up the whitepaper and making it "camera-ready."
Things cooking 👨🍳:
- 📜 FLOPs official whitepaper release
- 🔬 Micro fiat grants (no strings attached, fully transparent) for frontier pushers and stellar researchers
- 🧠 Smart contracts implementing whitepaper mechanics under development
- 🏃 Pluralis training run contributions from USDC track (https://t.co/jfdozmBTqT)
- 🏋️♂️ (TBD) https://t.co/0fPd36c9nZ testnet run contributions
- 🎭 Deep SOTA research and mining highlights
We're building! 🏛️🏩🏦 More information to come; threads, X articles, medium posts, and research spotlights.
Node-0-7.5B is live. It is a permissionless, multi-participant, model-parallel pretraining run over the open internet. Anyone with a 16GB+ GPU can join. Node-0 allows participants to collaboratively train a model far larger than could be done as individuals.
Join our spaces at 10am ET to hear @theemozilla, founder of @NousResearch discuss all things Nous with @tranesonics, co-founder of @FLOpsInc and how the decentralized training ecosystem is revolutionizing the frontier of the possible.
https://t.co/AHBn6t8vm1
About Nous:
Nous Research is a decentralized AI research organization dedicated to advancing human-centric, open-source AI systems. Branded as “the AI accelerator company,” Nous focuses on building and aligning AI models with real-world user needs while challenging the closed-source paradigm. Their mission is to prove that cutting-edge AI innovation can be open-sourced and accessible to millions, rather than locked behind corporate walls. In practice, this means developing high-performance large language models (LLMs), novel training methods, and AI applications in the open, with community collaboration and transparency as core principles. Nous Research explicitly prioritizes open-source, human-compatible models and eschews the heavy-handed content restrictions seen in many proprietary systems. This ethos of openness and user-centric design underpins all of Nous’s projects, from their flagship language models to experimental AI simulators.