For the past two years, most discussions around AI have focused on models.
Bigger models. Faster models. Smarter models.
But I'm starting to think the real bottleneck isn't intelligence. It's context.
Even the most capable AI systems struggle when they don't understand who they're helping, what information matters, or how that information can be accessed safely.
That's one reason OpenGradient caught my attention.
The project isn't trying to compete in the race to build the next foundation model. Instead, it's exploring infrastructure that allows AI systems to work with meaningful context while maintaining user control.
The broader trend feels important.
As AI becomes commoditized, differentiation may come from memory, permissions, and context rather than raw model performance.
Of course, this introduces difficult questions.
Who owns that context?
How is it verified?
How can users move their intelligence across applications without becoming locked into a single platform?
The answers aren't obvious.
But increasingly, I suspect the future of AI won't be determined by which model knows the most. It may be determined by which systems understand us best.
#OPG $OPG @OpenGradient
Bigger models. Faster models. Smarter models.
But I'm starting to think the real bottleneck isn't intelligence. It's context.
Even the most capable AI systems struggle when they don't understand who they're helping, what information matters, or how that information can be accessed safely.
That's one reason OpenGradient caught my attention.
The project isn't trying to compete in the race to build the next foundation model. Instead, it's exploring infrastructure that allows AI systems to work with meaningful context while maintaining user control.
The broader trend feels important.
As AI becomes commoditized, differentiation may come from memory, permissions, and context rather than raw model performance.
Of course, this introduces difficult questions.
Who owns that context?
How is it verified?
How can users move their intelligence across applications without becoming locked into a single platform?
The answers aren't obvious.
But increasingly, I suspect the future of AI won't be determined by which model knows the most. It may be determined by which systems understand us best.
#OPG $OPG @OpenGradient