AdRoiT 🎈📊

0.1% global fan?? 😭 At this point I should have a spare room in @Peruzzi house 😂 My Spotify wrapped just dropped and I'm proud of my listening activity. I reiterate; there's no songwriter ink worthy to lace Peruzzi's shoes. @Peruzzi is up there with gods. The greatest!🙇🏾‍♂️

Intelligence isn’t useful if no one can touch it. That’s where most AI projects stop at infrastructure. Sentient went further. They built Sentient Chat ⇛ the front-end of the GRID, and Spaces ⇛ the product layer that turns multi-agent orchestration into real-world workflows. Ride with me 🧵👇 • The Missing Interface A network of intelligences is powerful, but power means nothing without distribution. @SentientAGI Chat is the user-facing gateway into the GRID. It abstracts the orchestration, research, and routing beneath so users see outcomes. It’s where open intelligence stops being infrastructure, and starts being experience. • Introducing Spaces This month, Sentient launched Spaces modular, pre-wired environments built on the GRID. Each Space is a multi-agent workflow wrapped in product polish: - Asset Reports: one-click financial and on-chain summaries. - Good Morning Reports: curated daily briefings across Web2 + Web3. - Travel Planner: complete itineraries with live data and local context. Behind every Space lies orchestration, retrieval, reasoning, and verification but the user never feels that complexity. • Why Spaces Matter Most AI tools silo experiences; every use case = a new app. Sentient flips that logic: one network, infinite interfaces. Builders can ship their own Spaces, each a distribution surface for their agents, each monetized by usage through the SENT economy. • The Flywheels User Flywheel: Every new Space → more users → more data → smarter GRID. Builder Flywheel: Every usage → emissions → rewards → new agents. Network Flywheel: Each interaction compounds value across all connected intelligences. Sentient Chat is where all three intersect, turning the GRID into a living marketplace of cognition. • The Bigger Picture Infrastructure alone doesn’t create ecosystems. Interfaces do. @SentientAGI Chat gives open intelligence a face, and Spaces give it form. They are the distribution layer of AGI where research meets product, and orchestration meets usability. In Summary AI isn’t won by who trains the biggest model,but by who builds the most usable network. Sentient Chat + Spaces are that usability layer, bringing the GRID from theory → interface → everyday experience.

After doing research into how AI can shape our future, (we're already on the path) I realized that there are some things that are inevitable What we are seeing now is only the tip of the iceberg AGIs like @SentientAGI are going to be the new norm. ASI is where it gets really futuristic (Artificial Super Intelligence) If I were you, I'd pay close attention to what Sentient is building "They are inevitable" and if they pull it off, it'd be revolutionary And judging by their team, they have the connections which can make it a reality Apart from @SentientAGI, what other AGIs are you looking into?

LLMs are brilliant liars. They predict words, not truth. Sentient built Open Deep Search (ODS), a research engine that grounds intelligence in verifiable knowledge. Where closed labs keep models blind, ODS gives the GRID memory, depth, and recall. Ride with me 🧵👇 What is ODS? ODS is the knowledge substrate of @SentientAGI . It connects agents to live data streams across Web2 + Web3 APIs, blockchains, datasets, and research feeds. Instead of “hallucinate and hope,” agents cite, retrieve, and reason with evidence. It’s the shift from static answers → living research. Why does It matter Verifiability: every answer has a source. Coverage: from crypto on-chain data to scientific papers to live web queries. Recursion: agents don’t stop at one search, they can go deeper, chaining queries until the task is resolved. How ODS Works in the GRID - ROMA decomposes the query. - ODS routes sub-tasks into research pipelines. - Agents use the retrieved context to reason, cross-check, and build outputs. The GRID doesn’t just “respond.” It responds with evidence. Why Closed Labs Can’t Keep Up Closed AI = frozen weights + limited retrieval APIs. ODS = permissionless, evolving, community-fed intelligence. Every new data pipe, every integrated partner, every verified dataset → raises the floor for everyone plugged into the GRID. That’s a scaling advantage no closed lab can replicate. The Bigger Picture If AGI is the brain: • The GRID is the neural wiring. • ROMA is the executive cortex. • ODS is the memory system, ensuring outputs aren’t guesses, but grounded intelligence. This is how @SentientAGI turns open AI into credible AI. In summary Closed labs optimize for scale. @SentientAGI optimizes for truth. With ODS live, the GRID doesn’t just think,it remembers, verifies, and learns. And that right there is the beautiful thing about it

I think Sentient is one of the most ambitious and interesting plays in the DeAI space right now. @SentientAGI, together with Polygon cofounder @sandeepnailwal, recently held their Campus Tour at Fudan University in Shanghai, where they spoke about their mission: making sure open-source AI comes out on top. That’s a big deal because we all know how centralized players like to gatekeep tech. One of the key things they highlighted was ROMA , and this is where it gets interesting. What is ROMA? ROMA is built as a meta-agent framework, think of it like a system of systems. It uses recursive, layered structures to break down complex problems into smaller, parallel tasks. That means instead of one agent struggling to solve everything, multiple agents can work on different parts of the problem at the same time and then combine their outputs into a smarter solution. What makes ROMA powerful is how transparent it is. The framework is structured in a way that makes it easy to debug, fine-tune, and iterate. You can clearly see how tasks are being handled, which gives more control over context-engineering and development. Some of the core strengths of ROMA include: ➩ Parallel problem solving: agents work simultaneously on separate parts of complex tasks. ➩Transparency: clear structures make it easy to trace, debug, and optimize workflows. ➩ Proven performance: benchmark results from Sentient’s search agent already show what this framework can do.. Why ROMA and Its Advantages Big AI companies scale by making models bigger. Sentient scales by orchestrating many smaller ones together , and ROMA is the reason that works. It brings three clear advantages: ➩ Scalability: splits reasoning across agents, breaking compute limits. ➩ Reliability: reduces hallucinations by breaking down and verifying tasks. ➩ Openness: anyone can build workflows and earn through the SENT economy. If the GRID is the nervous system, ROMA is the prefrontal cortex , the part of the brain that plans, directs, and keeps everything in check. That means anyone can build, customize, and improve agents to fit their needs, while also benefiting from the collective progress of the community. What’s your take , is Sentient the project that finally puts decentralized AI on the map?