The other day, I was chilling at a café with Minh, my buddy from IT. We were debating which lab would hit AGI first.
He was all in on OpenAI.
I leaned towards SpaceX.
Then we pulled out the compute budget and model architecture of both labs to compare.
While we were chatting, I suddenly thought of OpenGradient.
It’s an AI project that doesn’t put AGI at the center of its narrative.
At first, I found it odd.
But then I realized that OpenGradient doesn’t need to join the AGI race.
OpenGradient Chat is putting ChatGPT, Claude, Gemini, and Nous Hermes behind an anonymity layer, where identity is separated from each message.
If one of these models evolves into AGI, that new capability won’t just pop up out of nowhere. It’ll emerge right in OpenGradient Chat through the anonymity layer that the project has set up.
So, you could say OpenGradient is paving the way for a kind of Inherited AGI: AGI that doesn’t originate within the project, but is absorbed as new capability through integration.
The deeper part lies in the position that this structure creates.
OpenGradient doesn’t need to guess which model will come out on top.
If ChatGPT hits AGI, OpenGradient Chat inherits that leap forward.
If Claude or Gemini takes the lead, the leading model can change while OpenGradient’s position remains solid.
That’s what I call a Winner-Agnostic Position.
The winning model could shift. Breakthroughs could pop up in any lab. But each step forward externally can still become an upgrade internally for OpenGradient Chat.
For me, the AGI ticket of @OpenGradient lies in this Winner-Agnostic Position.
The project doesn’t need to own the winning model.
It just needs to maintain a position where the victory of any model can continuously compound into new capabilities for the product.
$BSB $ESPORTS $OPG #opg chat.opengradient.ai
He was all in on OpenAI.
I leaned towards SpaceX.
Then we pulled out the compute budget and model architecture of both labs to compare.
While we were chatting, I suddenly thought of OpenGradient.
It’s an AI project that doesn’t put AGI at the center of its narrative.
At first, I found it odd.
But then I realized that OpenGradient doesn’t need to join the AGI race.
OpenGradient Chat is putting ChatGPT, Claude, Gemini, and Nous Hermes behind an anonymity layer, where identity is separated from each message.
If one of these models evolves into AGI, that new capability won’t just pop up out of nowhere. It’ll emerge right in OpenGradient Chat through the anonymity layer that the project has set up.
So, you could say OpenGradient is paving the way for a kind of Inherited AGI: AGI that doesn’t originate within the project, but is absorbed as new capability through integration.
The deeper part lies in the position that this structure creates.
OpenGradient doesn’t need to guess which model will come out on top.
If ChatGPT hits AGI, OpenGradient Chat inherits that leap forward.
If Claude or Gemini takes the lead, the leading model can change while OpenGradient’s position remains solid.
That’s what I call a Winner-Agnostic Position.
The winning model could shift. Breakthroughs could pop up in any lab. But each step forward externally can still become an upgrade internally for OpenGradient Chat.
For me, the AGI ticket of @OpenGradient lies in this Winner-Agnostic Position.
The project doesn’t need to own the winning model.
It just needs to maintain a position where the victory of any model can continuously compound into new capabilities for the product.
$BSB $ESPORTS $OPG #opg chat.opengradient.ai