At this post we will jump into GRID The GRID is the backbone of @SentientAGI 🦴 Actually in a nut-shell GRID is not a single model, not a single tool. It’s the open network fabric that connects agents, models, datasets, and tools so they can work together. Think of it as the “internet layer” of AGI The main question here is The Problems GRID solves ☑️Closed AI silos: OpenAI, Anthropic, xAI, each one is a locked box. ☑️ Fragmentation in open projects: many open-source models exist, but they don’t naturally connect. ☑️ Value leakage: when you contribute there’s no system to credit or reward you. We have these functions and differences in GRID Connection >> any agent, model, or tool can join, as long as it speaks the GRID protocol. Routing >> ROMA (the meta-agent) uses GRID to decide which component handles which task. Incentives >> thanks to Fingerprinting (OML), contributions can be traced, so rewards and credit flow back to builders. Scale >> the more agents, datasets, and models join the GRID, the smarter the system gets, a compounding flywheel... Because the GRID needs a deeper explanation, I'll break this topic into several posts 🔍🤓🤔 Stay tuned for upcoming posts about this magical tool #SentientAGI #AGIExplained #GRID #gridconnection

The next (and last one of these series) model of @SentientAGI's models is: ROMA (Recursive Open Meta-Agent) as we almost noticed as an AI users most AI today works like a one-shot answer machine! 😵‍💫 You ask a question, it tries to answer in one go. That’s fine for easy stuff, but it struggles with bigger jobs that need planning, checking, and multiple steps!! @SentientAGI csomes with ROMA to solve this problem. What roma is really doing is: ☑️If a task is too big, ROMA breaks it into smaller pieces ☑️It finds the right tool or model for each piece ☑️It then puts everything back together into a full answer Actually think of ROMA like a team leader. It doesn’t do all the work itself. Instead, it knows how to split the job, give it to the right people (or agents), and then combine the results. We have ideas why the good leader is important for a team but now the question is : Why it matters ☑️ It lets AI handle complex problems, not just simple Q&A. ☑️ It’s open, so anyone can see how the steps are broken down, instead of being hidden behind a company’s API. ☑️ It’s flexible, you can plug in your own models or tools, not just whatever one company gives you. Let's break it down with one example: If you ask: “Find 10 clean energy startups in Europe and compare their funding,” A normal model might guess or give a weak answer. ROMA would: Break the job into smaller steps (find startups > get funding info > write comparison) 🤔 Use the best tools for each step (search, summarize, compare) 🔍 Put it all together into a clear final result 💡 👉 For the button line: ROMA makes AI smarter by teaching it to plan, delegate, and organize tasks, instead of just guessing in one shot 😍 #ROMA #SentientAGI #AGIExplained #SentientOnKaito #RecursiveOpenMetaAgent