0G Research (@0G_Research) / X

0G Research

10 posts

0G Research

@0G_Research

Research that builds infinite AI and the largest AI L1!

Joined July 2025

Following

56.4K

Followers

0G Research
@0G_Research
Aug 14, 2025
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.
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0G Research
@0G_Research
Jul 11, 2025
We heard CT loves to hear from giga brains and read long-form content that dives deep into the tech being built. Giga brain deep dives on decentralised AI are incoming!
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0G Research
@0G_Research
Aug 5, 2025
One small step for 0G, one giant leap for mankind and AI! Read the paper: arxiv.org/abs/2506.21263
0G Labs (Home of Infinite AI)
@0G_labs
Aug 5, 2025
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-…
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0G Research
@0G_Research
Aug 14, 2025
Replying to @0G_Research
This is a significant shift from “black-box APIs” to public goods for AI. Read our full blog on this groundbreaking discovery 👇
0g.ai
Beyond Centralized Limits: Unpacking the First Globally Distributed 100B+ Parameter AI Model
0G trained a 107B parameter AI model across decentralized nodes using DiLoCoX, achieving 357x better communication efficiency than AllReduce.
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0G Research
@0G_Research
Aug 14, 2025
Replying to @0G_Research
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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0G Research
@0G_Research
Sep 1, 2025
0gm, we will talk about a lot of research in 0Gtember!
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0G Research
@0G_Research
Aug 14, 2025
Replying to @0G_Research
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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0G Research
@0G_Research
Aug 14, 2025
Replying to @0G_Research
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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0G Research
@0G_Research
Aug 14, 2025
Replying to @0G_Research
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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