Big news for open AI research!
Nanyang Technological University, Singapore (NTU Singapore) and 0G have launched a S$5M joint research hub to advance blockchain-powered AI.
This 4-year initiative will explore:
• Decentralised AI training
• Proof-of-useful-work
• Blockchain-integrated model alignment
The goal: build transparent, auditable, and accessible AI systems for all.
Read more 👉 u.today/0g-and-ntu-singapore…
This is a significant shift from “black-box APIs” to public goods for AI.
Read our full blog on this groundbreaking discovery 👇
0g.ai/blog/worlds-first-dist…
This changes the game:
→ Frontier-scale AI on commodity networks
→ Fully verifiable, transparent training
→ Models shaped by global contributors, not gated APIs
→ Composable foundation models for agents, apps & research
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How? Four key innovations:
→ Pipeline Parallelism: overlaps compute & comms
→ Dual Optimizer Policy: local updates + global alignment
→ One-Step-Delay Overlap: no wasted idle syncs
→ Adaptive Gradient Compression: smaller updates, same accuracy
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Enter DiLoCoX (Distributed Low-Communication Exchange).
Co-developed with China Mobile, this framework enables training 107B-param models under 1gbps bandwidth constraints—achieving 357x greater communication efficiency than legacy AllReduce.
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Training large AI models has always been chained to centralized superclusters with ultra-fast interconnects.
But the future can’t belong to a few who control the infrastructure.
So we asked: What if frontier AI could be trained on everyday bandwidth?
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Beyond Centralized Limits: The First Globally Distributed 100B+ Parameter AI Model.
Earlier this year, Intellect-1 (10B params) proved decentralized AI was possible.
Now, 0G has raised the bar 10x with DiLoCoX.
One small step for 0G, one giant leap for mankind and AI!
Read the paper: arxiv.org/abs/2506.21263
A major shift in the foundations of AI is underway, and 0G Labs is leading it.
@sandy_carter 's latest article on @Forbes captures @0G_Research's latest breakthrough: 0G trains the largest distributed LLM yet - 100B+ parameters.
Dive in → forbes.com/sites/digital-ass…




