Moving on, Let's talk about
@Gradient_HQ and what they've been up to lately.
Over the past few days we've seen OpenAI introduce Lockdown Mode to protect against prompt injection attacks, continued discussions around AI regulation, and growing conversations about who ultimately controls AI infrastructure. The more AI evolves, the more important privacy, ownership, and decentralization become.
On the other hand, while most people are focused on bigger models, Gradient is working on the infrastructure layer, making AI more distributed, private, and accessible.
Their work around distributed inference, Echo-2, and Parallax points toward a future where AI isn't dependent on a handful of centralized providers.
The collaboration with
@Theta_Network 's EdgeCloud was a good example of that vision in action.
With local AI becoming a bigger conversation following NVIDIA's recent push, Gradient's approach feels increasingly relevant:
It shouldn't matter what hardware you own.
If the future of AI is going to be open, scalable, and privacy-preserving, the infrastructure behind it matters just as much as the models themselves.