🚨 Everyone is talking about AI models.
Almost nobody is talking about the infrastructure required to make AI truly open.
👀
The first phase of AI was about building models.
The next phase may be about who hosts them, runs them, and verifies them.
Think about it.
As AI becomes more powerful, a handful of centralized providers controlling access creates a major bottleneck.
⚠️ Single points of failure.
⚠️ Limited transparency.
⚠️ Restricted access.
That's why OpenGradient caught my attention.
Most people see:
🤖 Another AI project.
But the bigger narrative could be:
🌐 Building the network for Open Intelligence.
Instead of relying on centralized infrastructure, OpenGradient is creating a decentralized network designed to:
⚡ Host AI models
⚡ Run inference at scale
⚡ Verify AI outputs
The old model was:
🏢 Centralized AI
🔒 Closed infrastructure
📦 Limited participation
The emerging model may become:
🌍 Open networks
⚡ Decentralized compute
🤖 Verifiable intelligence
Retail sees:
📈 A token called $OPG
But the deeper question is:
What happens when AI becomes too important to be controlled by a few entities?
👀
Maybe OpenGradient isn't just building another AI platform.
Maybe it's helping build the infrastructure layer for the next generation of open intelligence.