2023. 2025. never kill yourself.

𝙄𝙣𝙩𝙧𝙤𝙙𝙪𝙘𝙞𝙣𝙜 𝙍𝙊𝙈𝘼 𝙫0.2.0, 𝙎𝙚𝙣𝙩𝙞𝙚𝙣𝙩'𝙨 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣 𝙩𝙤 𝙢𝙪𝙡𝙩𝙞-𝙖𝙜𝙚𝙣𝙩 𝙨𝙮𝙨𝙩𝙚𝙢 𝙡𝙞𝙢𝙞𝙩𝙖𝙩𝙞𝙤𝙣𝙨. I've been seeing a lot of buzz around Sentient's latest ROMA v0.2.0 upgrade, so I decided to dive in and explore what this new version has to offer. In this post, we'll break down the exciting new features of ROMA v0.2.0 using a relatable analogy - a tech company building a new product. But before we get started, let's take a step back and talk about ROMA v1 and its limitations. ROMA (Recursive Open Meta-Agent) is a framework that breaks down complex tasks into smaller sub-tasks and assigns agents and tools to tackle them. It aggregates the results of each sub-task, creating a tree-like execution flow. However, ROMA v1 had a major drawback it used a sequential execution workflow, where tasks were executed one step at a time. This led to delays in task execution and a problem known as context explosion, where the model became overwhelmed with too much information. To illustrate this, imagine a tech company assigning design, technical, quality assurance, and marketing tasks to a single employee. The result would be a poorly executed product, with the employee struggling to keep up with the workload. Sentient has addressed these limitations with ROMA v0.2.0, a production-ready, hierarchical multi-agent framework built using 𝗗𝗦𝗣𝘆𝗢𝗦𝗦. So, what's new in this upgraded version? First, ROMA v0.2.0 uses 𝗥𝗲𝗰𝘂𝗿𝘀𝗶𝘃𝗲 𝗛𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝗶𝗰𝗮𝗹 𝗗𝗲𝗰𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 (𝗥𝗛𝗗) to break down tasks into smaller, manageable sub-tasks. This mirrors how humans solve problems, and it's similar to how a tech company would divide tasks among different departments like design, technical, quality assurance, and marketing. The new version also introduces localized aggregation, which allows the system to access only the most important artifacts. Think of it like a product manager filtering and prioritizing results, ensuring that only relevant output gets attention. Another key feature is 𝗠𝗘𝗖𝗘 (𝗠𝘂𝘁𝘂𝗮𝗹𝗹𝘆 𝗘𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗘𝘅𝗵𝗮𝘂𝘀𝘁𝗶𝘃𝗲) substacks, which enable multiple agents to work on different parts of a task simultaneously. This parallel execution approach improves accuracy and reduces delays, much like how different departments in a tech company work together at the same time to meet a product deadline. ROMA v0.2.0 also features 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗺𝗼𝗱𝗲𝗹 𝗿𝗼𝘂𝘁𝗶𝗻𝗴, where specialized agents handle specific parts of a task. For example, designers focus on user interface, developers write code, and marketers create campaigns. Finally, the new version enables 𝗗𝗼𝗺𝗮𝗶𝗻-𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲𝗱 𝗺𝗲𝘁𝗮-𝗮𝗴𝗲𝗻𝘁𝘀, allowing builders to create customized agents without the hassle of retraining them. This is like a tech company releasing docs on their creative process, making it easier for others to build similar products. These exciting new features make ROMA v0.2.0 a game-changer for multi-agent systems, ushering a new shift in performance, accuracy and speed.

Every time someone complains about close source AGI or the product (aka all the time) i get more bullish on @SentientAGI Sentient is the open source AGI giant.

Every innovation we see today stems from groundbreaking research, and Sentient's commitment to the research community worldwide is a testament to this. Their recent partnership with @askalphaxiv takes this dedication to the next level. What's AlphaXiv all about? AlphaXiv is a premier research platform that unites top academic and engineering minds to produce pioneering papers that drive artificial intelligence forward. What does this means for open-source AI development? This collaboration is a game-changer for open-source AI development, as Sentient's open-source foundation will turn research on paper into tangible reality. Builders will gain invaluable insights directly from alphaXiv's researchers and engineers, who are at the forefront of AI innovation. What's coming with this partnership? Expect exciting community spaces, research talks, and open challenges that will bring researchers, engineers, and builders together to propel AI advancement.

Let's talk about Sentient recent partnership with @UnifaiNetwork. Imagine earning money on DeFi opportunities while enjoying quality time with family, all thanks to an AI agent handling the heavy lifting. The partnership between Sentient and @UnifaiNetwork brings this vision to life on the Sentient GRID network. But first, let's break down what UnifAI Network is all about. UnifAI is a platform that empowers users and developers with autonomous AI agents, making DeFi more accessible and user-friendly. These agents execute strategies on behalf of users, allowing them to reap the benefits of DeFi opportunities without needing technical expertise or constant monitoring. So, what does this partnership mean for Sentient? GRID users can now tap into UnifAI's AI agents to analyze data, execute trades, and manage DeFi strategies on-chain in real-time. For UnifAI, this partnership opens doors to a broader user base, smarter agents, and access to community collaborations. This partnership is symbiotic, enhancing both the Sentient GRID and expanding UnifAI's reach within the ecosystem. Read more about this partnership ➡️ medium.com/@unifainetwork/un… [@shad_haq_ ] [@LeaderX_btc ]

Sentient Community Spotlight 🌟 I always love taking part in Sentient Nigeria community quiz events because there is something new to learn everytime. Today I came out 6th, not bad I will try next time to finish top 3 😁, I need that Sentient merch price. Thank you @GeneralxCT, @Krypto_Kratos , @Onoja_Cee for hosting. Gsenti 💗

do you believe in @SentientAGI ? make your loyalty card!!! thank you for this @neromtoobad, my talented fren😌❤️ (link’s in the comment)⤵️

Sentient vs Closed AI; why Open- Source wins. The development of modern technology infrastructure has been significantly shaped by open-source contributions. In numerous case studies, open-source systems have outperformed proprietary or closed-source systems. We've seen this in the cases of: 📌 Android vs. BlackBerry OS 📌 Apache vs. IIS 📌 Mozilla Firefox vs. Internet Explorer 📌 Linux vs. Windows OS It's likely that artificial intelligence will follow a similar trajectory. Before diving into how Sentient is edging out closed AI labs, let's explore why open-source often triumphs over closed source. The key advantages include: ➡️ Transparency: Open-source technology is accessible to developers, allowing them to contribute to and improve it. ➡️ Collaboratio: Open-source fosters teamwork, enabling developers to share ideas and drive innovation. ➡️ Meritocracy: The best contributions are prioritized, ensuring the technology improves and innovates. ➡️ Community-driven: With the technology open to everyone, contributors unite to enhance it. Just like how Linux disrupted the IT industry with open-source contributions through patches and modules, Sentient is edging out closed-source AI labs like xAI and OpenAI by creating the GRID, the world's largest network of specialized intelligence made up of agents, tools, datasets, and models. With the Sentient GRID being open-source, builders can plug in their models or agents to the GRID and earn from them. This creates a flywheel that attracts more models and agents, thereby improving search results in the process. By open-sourcing the GRID, Sentient gives everyone an opportunity to contribute to and earn from artificial intelligence, leading to long-term community alignment and sustainability. With constant flow of contributions from an open community of builders, the Sentient GRID will not only get better but thrive, outperforming closed AI labs that operates on monolithic AI models. [@shad_haq_ ] [@LeaderX_btc ]

Giving an airdrop to almost everyone on crypto twitter is an insane social experiment to watch play out

Sentient Community Spotlight 🌟 It was indeed a nice time I had in the Sentient Nigeria community Karaoke event hosted by the one and only Sentient Queen @bibsvault and @TOBISIMI17. Guess what guys, I sang my heart out lol 😆. Tbh I don't know if I performed well all I sha know is that I had mad fun. So if you want to unleash your singing arc the Sentient NG Karaoke event is the place you want to be in. See you on stage next week 😉

Sentient introduced SPIN-Bench to address a key limitation in large language models (LLMs). Currently, LLMs can solve simple, short-horizon tasks and generate logical, consistent text. However, to reach the peak of artificial intelligence, LLMs need to handle more sophisticated tasks that require multi-agent reasoning and strategic long-horizon planning. For instance, imagine planning a large conference with multiple stakeholders, including speakers, sponsors, and attendees. This task requires strategic planning, interaction, and negotiation to ensure a successful event. LLMs would need to handle complex tasks like scheduling, logistics, and communication, which is a challenging task for current AI models. To bridge this gap, Sentient developed the Strategic Planning, Interaction, and Negotiation (SPIN-Bench) framework. SPIN-Bench is designed to test LLMs on strategic planning in single-agent tasks and social intelligence in multi-agent situations that require cooperation, negotiation, or competition. The goal of SPIN-Bench is to evaluate LLMs' performance in complex tasks, exposing their social or planning reasoning weaknesses and assessing their ability to handle increasing complexity. By doing so, SPIN-Bench highlights the performance gaps between LLMs and human reasoning in social contexts, driving progress toward more advanced AI capabilities.

Sentient is currently on the lips of everyone on CT, while some see it as the next big AI company, others say it's just riding on the AI narrative. The million-dollar question is this: is Sentient really worth the hype? The truth is, the world is evolving, and the demand for artificial intelligence is increasing. But what do we have currently? Our reality is having our demands met by centralized artificial intelligence labs like OpenAI, xAI, Google's Gemini, and others. AI is so powerful that it shouldn't be left in the hands of a few big players and governments, but rather be open-source and community-owned. That is the goal of Sentient in building what is called "Loyal AI." Sentient has been able to prove that open-source artificial intelligence can compete side by side with closed labs AI without any drop in its performance. With working products like the GRID, Sentient is showing the world that open-source AI isn't something in theory, but a reality. So, if you are given a rare opportunity to contribute to building a future where the control of artificial intelligence isn't in the hands of big corporations or used as a political tool by world powers, wouldn't you get hyped about it? I sure would be, that is why Sentient isn't just another hyped AI project, but a project that is needed to decentralize AI and make it community aligned. [@LeaderX_btc ] [@shad_haq_ ]

Recap of yesterday's community call with Sentient Co-founder @hstyagi ➡️ $SENT token utility He talked about the role of the $SENT token in rewarding contributors to the Sentient network as the token will be used by users to access the sentient chat and also rewarding owners of models and builders in the network. ➡️ Sentient chat update He also talked about the public launch of the Sentient chat coming up in November. Users will need to hold $SENT before they can access it. ➡️ Kaito yapper and roles update He shared light on the recent Kaito leaderboard threshold reduction, why it was needed in capturing more community contributions and why the team won't remove the threshold as it protects genuine contributors from bots. For roles he said there will be separate reward pools for discord role holders and Kaito yappers, and the community shouldn't compare both rewards. ➡️ New enterprise integration He talked about new integration of business and customer service agents to the GRID. ➡️ Sentient long term sustainability He talked about how active innovation is the key in keeping Sentient relevant, as no AI company can attain sustainability without constant innovation. Overall it was a great community call with so much Alphas spilled as we gear up towards Sentient public launch.