Peter What is the sentinel project that has been included in NeurIPS 2025 (one of the "four top conferences" in the field of machine learning) with four papers from the research and development team led by Tyr? Recently, while looking at the direction of combining AI and crypto, I came across Sentient. Upon closer inspection, it must be said that the project background is explosive, and the current business progress is also remarkable. Last year, Sentient was just established and completed a seed round financing of $85 million led by Peter Thiel's Founders Fund, Pantera Capital, and Framework Ventures. So far, the project has raised over $100 million in cumulative financing. Peter Thiel is famous and can be said to be the real god behind the wave of AI and crypto encryption: he recommended a Vice President Vance (who was once the Vice President of Peter Thiel's fund) to Trump, and recommended the current tsar of "artificial intelligence and cryptocurrency", David Sacks, who is the major shareholder and chairman of AI giant PLTR and the earliest investor of Facebook and OpenAI. His Founders Fund is also the main driving force behind a group of well-known projects in the fields of AI and encryption. It can be said that Founders Fund's investments have gradually become a signal that they are betting on the big direction and a narrative entry that can represent the future. The background of the Sentient team can be described as luxurious, gathering star teams built at the intersection of AI and encryption fields. 70% of the members are world-class AI researchers from top research universities, large technology companies, and laboratories around the world. Pramod Viswanath: Forrest G. Hamrick Professor of Engineering at Princeton University, co inventor of 4G, responsible for research guidance. Himanshu Tyagi: Professor of Engineering at the Indian Institute of Science. Sandeep Nailwal: Founder of Polygon, responsible for strategic research. Kenzi Wang: Co founder of Metabolic Capital, responsible for business growth. Sewong Oh: Professor at the University of Washington, who has taught at Stanford MIT， Working for Google Salah Alzu'bi: A top AI conference paper publisher and former researcher at Meta, Google, and Microsoft. It is not surprising that a group of people gathered together and four papers were included in top conferences in the field of machine learning. With the toughest research team and the top tier investor lineup, it can only be said that the project has something. @SentientAGI aims to create an open-source protocol platform dedicated to building a decentralized artificial intelligence economy. Its core goal is to establish ownership structures for AI models, provide on chain call mechanisms, and build a composable and distributable AI Agent network. Simply put, Sentient has built an open, community driven AGI network - GRID (Grid). GRID is an intelligent grid composed of numerous specialized small agents working together, sharing data and computing resources. Different modules are responsible for different tasks and collaborate to output the answers that users need. Through GRID, AI can be used to directly distribute and profit (SENT token model). The entire system is completely open source, community led, and not controlled by any single company. As of now, Sentient has become the world's largest open-source AI ecosystem, bringing together over 100 partners covering Web2 and Web3 fields, including intelligent agents, data, models, computing power, and verifiable AI. (Figure 2 below) Compared to the popular AI project Bittensor in the field of encryption, Sentient's solution is superior: it starts directly from real products and user scenarios, supports AI product development with tokens, and these products in turn bring real income to the protocol, forming a positive cycle. Tokens will become the core tool driving the entire ecosystem, rewarding contributors and being used in the future to access models and pay for inference services. The Bittensor problem is that the model network has incentives, but there is no product, no sustainable income, and no value return loop. In my personal opinion, the biggest highlight of the Sentient project lies in its open source and transparency: unlike OpenAI's closed source model, Sentient's code and model weights will gradually become open for anyone to audit and use. From this perspective, it is not just another "decentralized AI" concept project, but an attempt to truly challenge the centralized AI hegemony through community contributions and open source models. The core vision is to build open-source AI models driven by community contributions, allowing anyone to participate in training, optimization, and governance. The team emphasized in the white paper that AI should not be controlled by just a few companies, but should become a "public infrastructure" for a wider range of developers, businesses, and individuals to use. Its ultimate goal is to directly compete with closed source systems such as OpenAI in terms of model quality and ecological vitality. Currently, OpenAI is seeking a trillion dollar IPO valuation, while Sentient, as an alternative solution shared by the open source community, is committed to returning AI dominance to the public. From this perspective, the project still has great potential for value growth.