I stayed up until 2 AM last night, and as a result, my alarm didn’t go off this morning. I almost overslept and hurried downstairs to buy a cup of coffee to wake up ☕️. Life is always like this, a bit chaotic, but it reminds me not to disrupt my rhythm. Since I’m awake, I might as well check out the latest AI updates and found that @SentientAGI's new moves in the past two weeks are worth discussing. 1/ Sentient launched the GRID upgrade and Sentient Chat "Spaces", moving from "answering questions" to "automatically generating task outcomes", starting to solve real workflows. For example: research report writing, travel planning, daily news briefings can all be generated with one click. 2/ GRID is an open brain network: it connects Agents, models, data, and computing power, automatically breaking down queries into routes, and finally summarizing them into answers. The official claim is that there are already over a hundred partners, 50+ dedicated Agents, and 50+ data sources integrated. 3/ The latest node: Open AGI Network has opened to 2 million users, claiming to support real-time collaboration of 40+ Agents and 50+ data sources. This is an important step towards real scalable validation. 4/ The positioning of Spaces is to encapsulate complex workflows into reusable templates: report generation, travel arrangements, daily briefings. Compared to "chatting", it’s more like "directly delivering results". 5/ The framework is ROMA (Recursive Multi-Agent Framework): break down tasks → distribute sub-tasks → summarize results → feedback. Structured I/O ensures transparency and debuggability. 6/ The search engine Open Deep Search approaches or even surpasses the performance of GPT-4o Search / Perplexity Sonar under open-source conditions, representing the first time open-source search intelligence has reached cutting-edge comparable levels. 7/ The core concept is OML (Open, Monetizable, Loyal): by fingerprinting models, embedding "ownership, accounting, licensing" into models, achieving accountable, profit-sharing, and aligned loyal AI. 8/ Economically, using $SENT to incentivize the ecosystem: stake the models or Agents you believe in, with earnings distributed based on usage and community reviews, allowing truly utilized open-source intelligence to receive funding. 9/ Risk points: Will fingerprints remain effective in the long term? Consistency in Agent collaboration? Are incentives being gamed? These are all key observation indicators for the next 6–12 months. 10/ In summary: Sentient is trying to answer the toughest question—"How can open-source AI be both user-friendly and self-sustaining?" On the engineering level, there’s ROMA/ODS, and on the economic level, there’s OML/fingerprinting; now it’s up to the market to validate.