kimi211 ./🧸 ✓

[image] 🏖️ What do we need this summer ?？ @Gradient_HQ @Gradient_CN @tryParallax @HexxRL

[image] Open up the “underlying capabilities” of AI Gradient uses OIS (Open Intelligence Stack) to separate the training, inference, and agent processes, and then connects them together using a decentralized infrastructure. In this way, AI is not just something provided by a few

[image] Immersed in the fish tank @Gradient_HQ @Gradient_CN @tryParallax @HexxRL

[image] The next step for AI infrastructure may not be just more powerful models, but a more open approach to operation. @Gradient_HQ is connecting globally dispersed computing resources, enabling intelligent systems to be deployed at scale, continuously evolve, and involve community

[image] Happy weekend ☀️ Loki really enjoys the barbecue time alone This little day has been quite comfortable. 🍖🔥 @SeismicSys @lyronctk @NoxxW3 @xealistt @heathcliff_eth @nanajiang8888

[image] ./ Focus on yourself✅ @Gradient_HQ @Gradient_CN @tryParallax @HexxRL

[image] Robots have bodies, while AI has brains. Yet there is one missing piece for robots to truly step into the real world 👉 experience. This is a link that PrismaXai is attempting to fill. Through remote operation, humans can handle complex scenarios that the model cannot yet manage

[image] In the past, when discussing Physical AI, people were more inclined to talk about the models and how powerful the robots themselves were. However, PrismaX has recently been emphasizing a more realistic issue: What kind of data do robots actually need to consume? More data is