What if moving your crypto from one blockchain to another was just the beginning? 👀 SunSwap is making that journey more connected with @symbiosis_fi as its latest Strategic Integration Partner. Here’s why this matters. 🧵👇 1/ What is Symbiosis? Imagine you have money in different countries, but each country uses a different banking system. Moving money between them can be complicated. Blockchains can have a similar problem. Assets and applications exist on different networks, and moving between them is not always straightforward. ➜ symbiosis is a cross chain liquidity protocol that connects multiple blockchain networks, including Layer 1s, Layer 2s, EVM compatible chains and non EVM chains. In simple terms, it helps users move assets between otherwise separate blockchain ecosystems. 2/ Where SunSwap comes in Getting your assets onto a blockchain is one thing. Finding a way to exchange them for the tokens you actually want is another. That is where SunSwap comes in. Through this integration, users can bridge assets to TRON through Symbiosis and then swap into their desired tokens using SunSwap’s liquidity and routing capabilities. ➜ Bridge your assets to TRON. ➜ Access token swaps through SunSwap. ➜ Explore opportunities within the TRON DeFi ecosystem. Two important steps, connected in one journey. 3/ Why should the average user care? Let’s say you hold crypto on another supported blockchain and want to explore DeFi on TRON. Without a convenient cross chain route, moving your assets to another network can involve extra steps, unfamiliar tools and unnecessary friction. This integration helps connect those pieces. Instead of treating each blockchain as an isolated destination, users have a clearer path from assets on supported networks to token swaps on TRON. The goal is simple: make accessing another blockchain ecosystem less complicated. 4/ What does liquidity and routing actually mean? These two terms are important to understand. ➜ Liquidity refers to the availability of tokens for people who want to trade them. Better access to liquidity can help users exchange assets more efficiently. ➜ Routing is the process of finding a suitable path for a trade. Depending on the available options, this can help determine how a swap is carried out. SunSwap brings its liquidity and routing capabilities into the asset movement journey, helping users go beyond simply transferring assets to TRON. They can then swap into their desired tokens, subject to supported assets and available routes. 5/ Why this matters for TRON DeFi A blockchain ecosystem becomes more accessible when users have easier ways to bring assets into it. Connecting cross chain transfers with on chain trading can help reduce the friction between holding assets elsewhere and exploring what TRON has to offer. ➜ More connected blockchain networks. ➜ A clearer path to token swaps on TRON. ➜ Easier access to the wider DeFi ecosystem. And for the ecosystem itself, integrations like this strengthen the connections between networks, protocols and users. 6/ The bigger picture Crypto is not just about creating more tokens or launching more blockchains. It is also about making those networks work better together. Symbiosis helps connect assets across supported chains, while SunSwap provides the trading infrastructure users can access once their assets reach TRON. That combination addresses a real challenge in Web3: helping people move between ecosystems without making the experience unnecessarily complicated. Of course, users should still check supported networks, token availability, fees, exchange rates and transaction details before making a move. The takeaway? SunSwap × symbiosis is about connecting cross chain liquidity with on chain trading and making the path into TRON DeFi more accessible. Different networks. More connected experiences. More ways to explore Web3. @OfficialSUNio @justinsuntron #TRONEcoStar

What if you could build smarter AI agents, write better code, and spend less on every API call? 👀 B.AI is making that more interesting with new model discounts and bonus credits worth up to $100. 🔥 Starting October 22 at 17:00 SGT, here is what you need to know. 🔥 𝐔𝐏 𝐓𝐎 𝟒𝟎% 𝐎𝐅𝐅 𝐏𝐎𝐏𝐔𝐋𝐀𝐑 𝐀𝐈 𝐌𝐎𝐃𝐄𝐋𝐒 ➜ DeepSeek V4.1 Flash: 40% OFF Built for coding, AI agents, and complex tasks. The updated model brings improvements across 11 benchmarks, with a reported 77.0% pass rate on DeepSWE v1.1. ➜ GLM 5.3 Flash: 30% OFF Designed for complex reasoning and advanced AI agents, with support for multiple types of input, including text and images. ➜ Qwen 3.8 Flash: 20% OFF A useful option for analysing long documents, generating code, and handling text, images, and video with a context window of up to 1 million tokens. 💡 𝐖𝐇𝐘 𝐃𝐎𝐄𝐒 𝐓𝐇𝐈𝐒 𝐌𝐀𝐓𝐓𝐄𝐑? Every time you use an AI model through an API, you may pay for the information you send in and the response you receive. Those costs can add up quickly when you are building applications, running automated workflows, or creating AI agents that perform multiple tasks. B.AI brings access to different AI models into one platform, helping developers choose models for their needs while managing costs. And with these discounts, you can explore different capabilities without paying the usual rates for every model. 🎁 𝐓𝐇𝐄 𝐁𝐎𝐍𝐔𝐒 𝐂𝐑𝐄𝐃𝐈𝐓𝐒 𝐌𝐀𝐊𝐄 𝐈𝐓 𝐄𝐕𝐄𝐍 𝐌𝐎𝐑𝐄 𝐈𝐍𝐓𝐄𝐑𝐄𝐒𝐓𝐈𝐍𝐆 ➜ BNB Chain users: Deposit $100 and receive $100 in credits plus another $100 in bonus credits. ➜ Other payment channels: Deposit $200 and receive $200 in credits plus another $100 in bonus credits. That means up to $100 in additional credits, depending on the applicable top up offer. B.AI also supports payment options including Visa, Mastercard, Apple Pay, Google Pay, WeChat Pay, Alipay, UnionPay, and selected crypto assets and networks. 🚀 𝐓𝐇𝐄 𝐁𝐈𝐆𝐆𝐄𝐑 𝐏𝐈𝐂𝐓𝐔𝐑𝐄 AI is becoming more accessible, but choosing the right model and controlling usage costs still matter. Whether you are experimenting with AI, building software, or developing agents that handle tasks for you, having multiple models available in one place gives you more flexibility. The interesting part is combining the model discounts with the top up rewards to get more value from your AI budget. 📅 The updated offers go live October 22 at 17:00 SGT. 👉 Top up and get your API key: chat.b.ai/purchase 👉 Explore: chat.b.ai/chat Which would you try first, DeepSeek for coding, GLM for complex reasoning, or Qwen for long context tasks? 👇 @BAI_AGI @justinsuntron #TRONEcoStar

What if one AI model could help you analyze data, fix code, automate office work, and even build a website without breaking your budget? Meet MiniMax M3.1 Flash, also known as Space Bunny, now live on B.AI. 🐰 Developed by @MiniMax_AI, this model is built to turn complex instructions into practical results, from software development to research and professional analysis. And the pricing makes it even more interesting. Here is what you need to know. 🧵👇 ➤ 𝟭. 𝗔𝗜 𝘁𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗮𝗻𝘀𝘄𝗲𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 Most people use AI to ask questions and get answers. But what happens when you need to complete an entire task? Think about gathering information, analyzing it, organizing the results, and turning everything into a presentation. That takes multiple steps, and doing each one manually can be exhausting. MiniMax M3.1 Flash is designed to support these more complex workflows, helping users move from an initial instruction toward a finished deliverable. ➜ Automating multi step office tasks. ➜ Analyzing information for professional work. ➜ Organizing research into useful outputs. ➜ Supporting presentation creation and other productivity tasks. MiniMax reports a 72.5% score on AutomationBench AA, a benchmark designed to evaluate automation capabilities. The goal is simple. Spend less time on repetitive work and more time on decisions that actually matter. ➤ 𝟮. 𝗙𝗼𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀, 𝘁𝗵𝗶𝘀 𝗴𝗲𝘁𝘀 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 Building software is not just about writing code. You also need to understand existing projects, identify bugs, fix problems, and add new features without breaking what already works. MiniMax M3.1 Flash is designed to help with these challenges. ➜ Understand existing codebases. ➜ Investigate and fix software bugs. ➜ Develop new features. ➜ Support frontend development, which means building the parts of a website or application people see and interact with. MiniMax reports a 73.67% score on DeepSWE, a benchmark focused on software engineering tasks. For developers, this could mean a useful assistant for moving from a problem description to a practical implementation. It does not eliminate the need to test code or review the results, but it can help reduce the amount of repetitive work involved. ➤ 𝟯. 𝗜𝘁 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝗺𝗮𝗸𝗲 𝘀𝗲𝗻𝘀𝗲 𝗼𝗳 𝘃𝗶𝘀𝘂𝗮𝗹 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 Ever looked at a complicated chart and struggled to understand what it was telling you? Visual reasoning helps an AI interpret information presented in images, charts, and other visual references. MiniMax M3.1 Flash is designed to support this kind of analysis. MiniMax reports scores of 91.0 on BabyVision with tools and 82.5 on CharXiv RQ. In practical terms, visual reasoning can help when you need to interpret data, examine visual references, or use information from a chart to guide your next step. For example, a developer could use insights from a visual reference when working on a website interface or prototype. The important point is that the model can help connect what you see with what you want to build or understand. ➤ 𝟰. 𝗔 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝟭 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝘁𝗼𝗸𝗲𝗻 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝘄𝗶𝗻𝗱𝗼𝘄 Here is another feature worth paying attention to. MiniMax M3.1 Flash supports a context window of up to 1 million tokens, with a maximum output of up to 512,000 tokens. But what does that actually mean? A token is a small unit of text that an AI processes. The context window determines how much information the model can work with at once. A large context window is useful when dealing with lengthy documents, extensive research, or large software projects. Instead of constantly splitting information into smaller sections, you can potentially provide much more context in one workflow. The maximum output also gives the model room to generate lengthy responses or substantial content when the task requires it. Actual results depend on the task, the available interface, and the model's practical limits. ➤ 𝟱. 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝘄𝗶𝘁𝗵 𝗮 𝘀𝘂𝗿𝗽𝗿𝗶𝘀𝗶𝗻𝗴𝗹𝘆 𝗹𝗼𝘄 𝗯𝗮𝘀𝗲 𝗽𝗿𝗶𝗰𝗲 Now, this is the part that caught my attention. 👀 The standard B.AI API pricing is: ➜ Input: $0.15 per 1 million tokens. ➜ Output: $0.60 per 1 million tokens. ➜ Cache write: $0.15 per 1 million tokens. ➜ Cache read: $0.015 per 1 million tokens. Input tokens are the information you send to the model. Output tokens are the information it generates. Caching allows previously processed information to be reused under supported conditions. Cache read pricing is lower because reusing cached information can be cheaper than processing it as new input. For example, processing 100,000 input tokens and generating 100,000 output tokens at the standard rates would cost approximately $0.075, assuming no caching and no additional charges. That is 7.5 cents for those token volumes. Of course, actual costs depend on how much you use the model and whether your workflow involves additional tools or services. B.AI also notes that top up bonuses and account benefits may reduce actual usage costs. For developers testing ideas, building prototypes, or running repeated tasks, affordable token pricing can make experimentation more accessible. ➤ 𝟲. 𝗪𝗵𝗼 𝘀𝗵𝗼𝘂𝗹𝗱 𝗽𝗮𝘆 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻? MiniMax M3.1 Flash could be useful for: ➜ Developers who need help understanding code, fixing bugs, and building features. ➜ Students and researchers who need to organize information and explore complex questions. ➜ Professionals who handle repetitive office tasks, reports, and presentations. ➜ Designers and builders who want to work with visual references and develop frontend prototypes. ➜ AI enthusiasts who want to experiment with a capable model without spending heavily on token usage. One important detail: advanced automation, website creation, and presentation workflows may require tools, data access, and execution permissions. The model does not automatically have access to every application or perform every action independently. ➤ 𝟳. 𝗛𝗼𝘄 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 MiniMax M3.1 Flash is available through both the B.AI API and Web Chat. The model ID for API users is: "minimax-m3.1-flash" The API allows developers to connect the model to their own applications. Web Chat offers a more direct way to interact with AI without first building an integration. You can explore the model, test your own tasks, and see whether its capabilities fit your workflow. 🌐 Try it here: chat.b.ai/chat 📖 Documentation: docs.b.ai/llmservice/models/… 𝗠𝘆 𝘁𝗮𝗸𝗲? The real value of AI is not just getting impressive answers. It is being able to use those answers to solve problems, build products, and get everyday work done. MiniMax M3.1 Flash brings together coding support, visual reasoning, long context, workplace automation, and accessible base pricing in one model. That combination makes it worth testing, especially if you want to move beyond simple prompts and start building something useful. 💬 If you had access to this model today, what would you try first, building an app, automating your work, analyzing data, or creating a presentation? @BAI_AGI @justinsuntron #TRONEcoStar

🌍 𝗕.𝗔𝗜 𝗶𝘀 𝗺𝗮𝗸𝗶𝗻𝗴 𝗔𝗜 𝗺𝗼𝗿𝗲 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲, 𝗺𝗼𝗿𝗲 𝗴𝗹𝗼𝗯𝗮𝗹, 𝗮𝗻𝗱 𝗲𝗮𝘀𝗶𝗲𝗿 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝘄𝗶𝘁𝗵. 👀 From seamless AI model upgrades to 11 language support and a massive surge in model usage, B.AI had a productive week from October 12 to October 18. But the numbers are only part of the story. Here is what happened, why it matters, and what it means for developers and the wider AI ecosystem. 🧵👇 ➤ 𝟭. 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹 𝘂𝗽𝗴𝗿𝗮𝗱𝗲𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝘆 𝗱𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗼𝗻 One major highlight was B.AI's smooth migration of the MiMo V2.5 model series. Why does this matter? When an AI provider upgrades or replaces a model, developers can face compatibility issues, broken workflows, and extra work updating their applications. B.AI is tackling that problem through intelligent routing, automatically directing requests from legacy model IDs to newer versions. In simple terms, developers can continue using their existing model identifiers while B.AI handles the transition behind the scenes. ➜ Billing is adjusted to reflect the applicable new model rates. ➜ A testing and adaptation window gives developers time to check compatibility before older model IDs are phased out. ➜ Developers can spend less time managing infrastructure changes and more time building useful products. The bigger picture is simple. Better infrastructure should make AI development easier, not create another obstacle. Details: xitter.cf/BAI_AGI/status/2109847… ➤ 𝟮. 𝗕.𝗔𝗜 𝗶𝘀 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲 𝘄𝗼𝗿𝗹𝗱𝘄𝗶𝗱𝗲 Language should not be a barrier to using powerful AI tools. That is why B.AI expanded its website and Web Chat support to 11 languages. This means users from different parts of the world can explore the platform and interact with AI models in their preferred supported language. For someone who is not comfortable navigating an English only interface, this can make getting started much easier. For developers and businesses, broader language support can also help more people discover and use AI powered services. ➜ Easier access for international users. ➜ A more welcoming experience for people who prefer other languages. ➜ More opportunities for global developers to explore different AI models. AI is becoming part of everyday life. Making it accessible to more people is an important step toward wider adoption. Details: xitter.cf/BAI_AGI/status/2110305… ➤ 𝟯. 𝗖𝗵𝗶𝗻𝗲𝘀𝗲 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀 𝗮𝗿𝗲 𝘀𝗲𝗲𝗶𝗻𝗴 𝘀𝘁𝗿𝗼𝗻𝗴 𝗴𝗿𝗼𝘄𝘁𝗵 𝗼𝗻 𝗕.𝗔𝗜 This is where the ecosystem numbers get interesting. 📈 B.AI reported strong growth across several leading Chinese AI model providers. Here are the key figures from the weekly report. ➜ DeepSeek: Maintained its leading position on the platform. ➜ Xiaomi: Recorded a 49.9% increase in usage volume compared with the previous week, remaining in second place for the third consecutive week. ➜ Zhipu: Ranked third, with usage volume increasing by 44.3%. ➜ Moonshot: Recorded a striking 286.5% increase in usage volume compared with the previous week. These figures point to growing activity across multiple AI model ecosystems. And there is an important distinction here. More usage does not automatically mean a model is better than its competitors. It does, however, indicate growing activity and adoption on the platform. For developers, having access to different models matters because each model can offer different strengths, costs, and performance characteristics. Instead of relying on a single provider for every task, developers can explore alternatives and choose what fits their needs. That flexibility becomes increasingly valuable as the AI ecosystem expands. Details: xitter.cf/BAI_AGI/status/2111036… ➤ 𝟰. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗕.𝗔𝗜 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺? Imagine wanting to build an AI application. You need access to models, a way to send requests to them, reliable infrastructure, and a manageable way to handle usage and costs. Managing all of that separately can add complexity. B.AI aims to simplify this process by bringing multiple AI models together through shared infrastructure. Its unified Responses API provides developers with a common way to interact with supported models, while its infrastructure helps coordinate model access and usage. An API is simply a way for different software applications to communicate with each other. A unified API can reduce the need to build an entirely different integration for every model, making it easier to experiment, compare options, and develop applications. This is the bigger opportunity behind AI infrastructure. It is not just about giving people access to models. It is about making those models easier to integrate into products that solve real problems. ➤ 𝟱. 𝗠𝗲𝗱𝗶𝗮 𝗰𝗼𝘃𝗲𝗿𝗮𝗴𝗲 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝘁𝗵𝗲 𝘀𝗰𝗮𝗹𝗲 B.AI also received coverage from Odaily China. The coverage highlighted the platform's access to more than 70 leading AI models, its unified Responses API, and reported daily throughput of 1.51 trillion tokens. Tokens are the small units of text that AI models process. Throughput refers to how much data a system handles over a given period. At this scale, infrastructure becomes a critical part of the AI experience. Developers need systems that can handle substantial demand while making access to different models practical. As more applications incorporate AI, platforms that simplify access and help coordinate usage can become increasingly important. Coverage link: xitter.cf/BAI_AGI/status/2109919… ➤ 𝟲. 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝗽𝗶𝗰𝘁𝘂𝗿𝗲 Looking at the week's developments together, three priorities stand out. ➜ Reliability: Model transitions should not unnecessarily disrupt applications that developers depend on. ➜ Accessibility: AI tools should be easier for people around the world to discover and use. ➜ Scalability: Developers need infrastructure that can support growing demand and give them access to a broader selection of models. These improvements address different problems, but they point in the same direction. Making AI more useful requires more than building powerful models. It also requires the infrastructure that helps people access those models, integrate them into products, and use them at scale. That is the space B.AI is working to strengthen as it pursues its vision of becoming an AI infrastructure and settlement layer. 𝗠𝘆 𝘁𝗮𝗸𝗲? The next stage of AI adoption will depend not only on how intelligent models become, but also on how easily people can put them to work. More accessible tools, smoother integrations, and a growing choice of models can help developers turn ideas into real applications. If you are exploring AI development, B.AI is worth keeping on your radar. 🌐 Website: b.ai 🤝 Community: t.me/BAI_agi What matters most to you in an AI platform, access to more models, lower costs, better performance, or easier integration? @BAI_AGI @justinsuntron #TRONEcoStar

𝗬𝗼𝘂 𝗰𝗮𝗻 𝗻𝗼𝘄 𝗯𝘂𝗶𝗹𝗱 𝗺𝗼𝗿𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜, 𝘂𝘀𝗲 𝗳𝗲𝘄𝗲𝗿 𝗽𝗿𝗼𝗺𝗽𝘁𝘀, 𝗮𝗻𝗱 𝘀𝗽𝗲𝗻𝗱 𝗹𝗲𝘀𝘀 𝗽𝗲𝗿 𝘁𝗮𝘀𝗸. 👀 B.AI has upgraded DeepSeek V4.1 Flash to the latest V4.1 Flash 1017, bringing improvements in reasoning, coding, speed, and AI agent performance. The best part? You can enjoy the upgrade without changing your Model ID or paying more for the same model access. Here is why this update deserves your attention. 🧵👇 ➤ 𝟭. 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗔𝗜, 𝗯𝗲𝘁𝘁𝗲𝗿 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 The new version improves performance across 11 benchmark tests, which are standardized ways of measuring how well an AI handles different tasks. One standout result is its 77.0% score on DeepSWE v1.1, up from 74.2% in the previous version. In simple terms, the model is getting better at solving software engineering problems, following complex instructions, and completing demanding tasks. It also produces shorter, cleaner responses, helping you get to the useful part faster. ➤ 𝟮. 𝗟𝗼𝘄𝗲𝗿 𝗰𝗼𝘀𝘁 𝗽𝗲𝗿 𝘁𝗮𝘀𝗸 Powerful AI is great, but constantly paying for long, complicated tasks can become expensive. V4.1 Flash 1017 reduces execution time and unnecessary output, meaning tasks can finish faster and cost less to run. For developers building products, automating workflows, or running AI agents repeatedly, those savings can add up. You get improved performance and greater efficiency without a higher model price. ➤ 𝟯. 𝗙𝗿𝗼𝗺 𝗮 𝘀𝗶𝗺𝗽𝗹𝗲 𝗶𝗱𝗲𝗮 𝘁𝗼 𝗮 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 This is where things get interesting. 👀 The upgrade brings stronger coding and AI agent capabilities, particularly with tools such as DeepSeek Harness. An AI agent is a system that can do more than answer questions. It can work through steps, use tools, write code, and help complete a task. Imagine describing a game you want to build, a website you need, or a 3D scene you have in mind. Instead of manually writing every line of code yourself, you can use AI to help turn that idea into a working project. The new model is optimized for this kind of end to end development, potentially reducing the number of prompts and corrections needed. That means less time wrestling with code and more time bringing ideas to life. ➤ 𝟰. 𝗔 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝟭 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝘁𝗼𝗸𝗲𝗻 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝘄𝗶𝗻𝗱𝗼𝘄 What if your AI could work with a huge amount of information in one conversation? V4.1 Flash 1017 supports a context window of up to 1 million tokens. A token is a small unit of text processed by an AI. A context window determines how much information the model can work with at once. This large window is useful when analyzing lengthy documents, reviewing large codebases, working with extensive project instructions, or connecting information from different parts of a task. For developers, that can mean less need to split projects into tiny pieces. For everyday users, it means more room to provide context and get answers that account for more of the information that matters. ➤ 𝟱. 𝗢𝗽𝗲𝗻 𝘄𝗲𝗶𝗴𝗵𝘁𝘀 𝗮𝗻𝗱 𝗶𝗺𝗮𝗴𝗲 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 The model is listed with 763 billion parameters and supports text and image inputs. Parameters are the internal numerical values a model learns during training. They help determine how it processes information and generates responses. The model's weights are also available publicly under the MIT license, giving developers broad permission to use, modify, and build with them, subject to the license terms. Its image input support means you can combine visual information with text when working on supported tasks. This opens up more possibilities for developers building applications that need to understand both written instructions and visual content. ➤ 𝟲. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝘆𝗼𝘂? Whether you are a developer, an AI enthusiast, or someone exploring what AI can do, the direction is clear. ➜ Faster task completion. ➜ Better coding and reasoning performance. ➜ More efficient AI agents. ➜ Lower execution costs per task. ➜ More room for complex projects and longer context. ➜ More opportunities to turn ideas into real products without doing every step manually. And you do not need to be an expert programmer to start exploring what is possible. 𝗧𝗵𝗲 𝗯𝗶𝗴 𝗽𝗶𝗰𝘁𝘂𝗿𝗲? AI is moving beyond simply answering questions. It is becoming a more capable tool for building, creating, and getting real work done. B.AI's latest DeepSeek V4.1 Flash upgrade is another step in that direction. 🔥 Try it yourself: chat.b.ai/chat If you already use DeepSeek V4.1 Flash on B.AI, your Model ID stays the same. What would you build first with a smarter, more efficient AI, a game, an app, a website, or something completely different? @BAI_AGI @justinsuntron #TRONEcoStar

What if getting into the JUST ecosystem became as simple as making an online payment? 👀 That just got easier with $JST now available on @AlchemyPay's fiat on ramp! 🔥 Here’s why this matters. 👇 Many people want to explore DeFi but face a major hurdle, getting their money into crypto in the first place. Alchemy Pay helps bridge that gap by connecting traditional payment methods with the crypto world. With this integration, users can now purchase JST using supported fiat currencies and payment methods, including Visa and Mastercard. 🔹 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻? ➜ Easier access to JST without first having to navigate multiple crypto buying steps. ➜ Support for 50+ local currencies, helping make crypto more accessible across different regions. ➜ A simpler entry point for people looking to explore the JUST ecosystem on TRON. 🔹 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 $𝗝𝗦𝗧 𝗺𝗮𝘁𝘁𝗲𝗿? JST is the token associated with the JUST ecosystem, a decentralized finance ecosystem built on TRON. DeFi allows people to access financial services through blockchain technology, without relying entirely on traditional intermediaries. JUST brings together onchain financial tools designed to expand what users can do with their digital assets. Making JST easier to purchase is another step toward reducing the barriers between everyday money and onchain finance. 🔹 𝗪𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗱𝗼 𝗻𝗲𝘅𝘁? ➤ Visit Alchemy Pay and explore the available JST purchase options. 👉 ramp.alchemypay.org The easier it becomes to access crypto, the more people can explore what blockchain powered finance has to offer. Better access. Fewer barriers. More ways to enter the JUST ecosystem. 🌐 @DeFi_JUST @justinsuntron #TRONEcoStar

𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝗗𝗲𝗙𝗶 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗹𝗼𝗼𝗸 𝗹𝗶𝗸𝗲? 👀 Look beyond the charts. Look at the people, the capital, and the activity happening on chain. #JustLendDAO is building an ecosystem where users can do more with their digital assets, and its latest snapshot highlights some numbers worth paying attention to. 📸 ➜ 485,070 ecosystem users ➜ $263,429,997 in Grants Power ➜ $7,214,168,411 in TVL So, what do these numbers actually mean? ➠ 485K+ USERS A growing user base means more people are participating in the ecosystem. ➠ $263M+ GRANTS POWER Funding can help support ecosystem development, new initiatives, and opportunities that contribute to the broader DeFi community. ➠ $7.2B+ TVL TVL means Total Value Locked. In simple terms, it measures the value of assets deposited in a DeFi protocol or ecosystem. It helps show the scale of capital participating in DeFi, although it can change with asset prices and deposits. But JustLend DAO is about more than numbers on a dashboard. ➤ Supply assets to earn yield. ➤ Borrow assets by using eligible crypto as collateral. ➤ Stake TRX. ➤ Rent Energy to help cover the resources needed for transactions on TRON. ➤ Explore more DeFi applications within the ecosystem. And with SBM V2, JustLend DAO is also highlighting safer lending and more markets. The dashboard additionally highlights a JST opportunity in SBM with up to 0.20% APY. Remember, APY means annual percentage yield, and actual returns depend on the product's terms and conditions. Here is what matters to me 👇 DeFi adoption is not just about how many protocols exist. It is about whether people have useful reasons to participate, whether capital is being put to work, and whether the ecosystem continues to create opportunities for users. More participation can create room for more strategies, more activity, and further ecosystem development. The real question is not just how big DeFi can become. It is how useful it can become for the people using it. 👇 Explore the JustLend DAO ecosystem: justlend.org/ @DeFi_JUST @justinsuntron #TRONEcoStar

𝗢𝘃𝗲𝗿 𝟱𝟴𝟴 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗶𝗻𝘀𝘁𝗮𝗹𝗹𝗮𝘁𝗶𝗼𝗻𝘀. 𝗧𝗵𝗮𝘁’𝘀 𝘁𝗵𝗲 𝘀𝗰𝗮𝗹𝗲 𝗼𝗳 𝗕𝗶𝘁𝗧𝗼𝗿𝗿𝗲𝗻𝘁. 🌍 Think about how many files, videos, and other digital content people share across the world every single day. Behind a huge part of that story is a technology built around one simple idea: data sharing does not have to depend on one central server. BitTorrent has officially reached 588,346,368 cumulative client installations. That is nearly 588.4 million installations accumulated over time, reflecting the remarkable global reach of a technology that has helped shape how people distribute digital content. 𝗕𝘂𝘁 𝘄𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗕𝗶𝘁𝗧𝗼𝗿𝗿𝗲𝗻𝘁 𝘀𝗼 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁? ➜ 𝗗𝗲𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝘀𝗵𝗮𝗿𝗶𝗻𝗴: Instead of relying entirely on one server to distribute a file, BitTorrent allows people downloading that file to exchange pieces with one another. ➜ 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: As more participants share pieces of a file, additional sources can help distribute it. This can reduce the pressure on any single source. ➜ 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴: When multiple participants have the data, sharing does not necessarily depend on one machine remaining available. ➜ 𝗚𝗹𝗼𝗯𝗮𝗹 𝗿𝗲𝗮𝗰𝗵: The protocol enables people across different locations to exchange data without every transfer having to come directly from the original distributor. This is the power of peer to peer technology. People do not just consume digital content. They can also help distribute it. And while BitTorrent is not a blockchain itself, its approach to distributing data connects with a broader idea that matters deeply in Web3: building systems that do not rely entirely on a single point of control. 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝗽𝗶𝗰𝘁𝘂𝗿𝗲? 588 million installations are more than a headline number. They highlight the extraordinary reach of a technology built around sharing resources across a distributed network. Decentralization is not just a concept discussed in crypto. It is also an engineering approach that has powered real world internet infrastructure for years. Now I am curious. 👇 𝗪𝗵𝗮𝘁 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗳𝗼𝗿 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗻𝗲𝘅𝘁, 𝗳𝗶𝗹𝗲 𝘀𝗵𝗮𝗿𝗶𝗻𝗴, 𝗱𝗲𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝘀𝘁𝗼𝗿𝗮𝗴𝗲, 𝗼𝗿 𝗪𝗲𝗯𝟯 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲? @BitTorrent @justinsuntron #BTT #TRONEcoStar

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗮𝘀𝘀𝗲𝘁𝘀 𝗰𝗼𝘂𝗹𝗱 𝗱𝗼 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗷𝘂𝘀𝘁 𝘀𝗶𝘁 𝗶𝗻 𝘆𝗼𝘂𝗿 𝘄𝗮𝗹𝗹𝗲𝘁? 👀 Let’s talk about the latest #USDD Vault Weekly Report and what the numbers reveal. 📊 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘁𝗼 𝗸𝗻𝗼𝘄 👇 ➜ 𝗧𝗼𝘁𝗮𝗹 𝗖𝗼𝗹𝗹𝗮𝘁𝗲𝗿𝗮𝗹 𝗩𝗮𝗹𝘂𝗲: $1.16B Collateral is the value of assets used to back or secure a financial position. In a vault system, it helps support the assets being created. ➜ 𝗧𝗼𝘁𝗮𝗹 𝗨𝗦𝗗𝗗 𝗠𝗶𝗻𝘁𝗲𝗱: 463.46M USDD Minting means creating new tokens through the protocol. This figure represents the total USDD minted according to the report. ➜ 𝗦𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗙𝗲𝗲: 0.5% to 5% A stability fee is a charge associated with certain vault positions. The applicable rate can affect the cost of using the system, so always check the terms for your specific vault. ➜ 𝗨𝗦𝗗𝗗 𝗘𝗮𝗿𝗻 𝗬𝗶𝗲𝗹𝗱: 4% to 9% Yield refers to the return an eligible user may earn on an asset over time. Actual returns depend on the product terms and conditions, and the displayed range should not be treated as a guarantee. 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿? 💡 Vaults can give users a way to interact with DeFi, short for decentralized finance, which provides financial services through blockchain based protocols. But understanding the numbers matters before getting involved. ➤ Know what collateral is required. ➤ Understand the fees before minting. ➤ Check the conditions attached to any yield opportunity. ➤ Consider the risks before committing your assets. The goal is not simply to mint more tokens. It is to understand how the system works and make informed decisions. 📅 The latest report is dated October 20, 2026. 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 𝗨𝗦𝗗𝗗 𝘃𝗮𝘂𝗹𝘁𝘀? 👉 Visit app.usdd.io/ to explore the platform and review the available terms before participating. Are you already using USDD vaults, or are you still exploring how they work? 👇 @USDDecentralize @justinsuntron #TRONEcoStar

𝗢𝗻𝗲 𝘄𝗲𝗲𝗸. 𝗧𝗵𝗿𝗲𝗲 𝗺𝗮𝗷𝗼𝗿 𝘂𝗽𝗱𝗮𝘁𝗲𝘀. 𝗔𝗻𝗱 𝘁𝘄𝗼 𝗻𝗲𝘄 𝗮𝗹𝗹 𝘁𝗶𝗺𝗲 𝗵𝗶𝗴𝗵𝘀. 👀 USDD had a busy week from October 12 to October 18, 2026, with new milestones in stablecoin adoption, lower vault fees, and more rewards for traders. Let’s break down what happened and why it matters. 🧵 𝗢𝗻𝗲. 𝗨𝗦𝗗𝗗 𝗵𝗶𝘁𝘀 𝗻𝗲𝘄 𝗺𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲𝘀 📈 ➜ On October 12, USDD’s circulating supply surpassed 1.81 billion. ➜ Its Total Value Locked, or TVL, also exceeded $2.51 billion. TVL represents the value of assets deposited in a protocol. It helps show how much capital is being used within its ecosystem. Both figures reached all time highs for the second time in a single week. Why does this matter? These milestones offer a glimpse into USDD’s growing footprint. The next thing to watch is whether this growth continues and how it translates into sustained usage. 𝗧𝘄𝗼. 𝗩𝗮𝘂𝗹𝘁 𝗳𝗲𝗲 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻𝘀 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗲 💡 ➜ On October 15, USDD launched Phase 19 of its sTRX and TRX Vaults Stability Fee Reduction Campaign. In simple terms, a stability fee is a cost associated with certain vault activities. Reducing that fee can make participation more affordable for eligible users. The important detail here is that the campaign has reached Phase 19, showing continued activity around vault participation. For users exploring these opportunities, the specific eligibility rules and applicable fees are worth checking before participating. 𝗧𝗵𝗿𝗲𝗲. 𝗠𝗼𝗿𝗲 𝗿𝗲𝘄𝗮𝗿𝗱𝘀 𝗼𝗻 𝗚𝗮𝘁𝗲 𝗗𝗘𝗫 🎁 ➜ On October 18, USDD upgraded its Gate DEX Bonus Campaign, adding another 16,000 USDD in rewards. That gives eligible participants an additional incentive to explore the campaign. Of course, rewards always come with terms and conditions, so checking the official campaign rules is essential before taking part. 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝗽𝗶𝗰𝘁𝘂𝗿𝗲 What makes this recap interesting is the combination of three different developments. ➤ Growth in circulating supply and TVL. ➤ Continued efforts to reduce vault fees. ➤ Additional rewards to encourage ecosystem participation. Each addresses a different part of the stablecoin experience, from adoption and capital deployment to participation incentives. The real question is how these initiatives translate into sustained activity over time. USDD’s latest weekly recap gives the community several developments to follow, and I’m curious to see what comes next. 𝗬𝗼𝘂𝗿 𝘁𝘂𝗿𝗻 👇 Which October update stands out most to you? ➜ The $2.51B TVL milestone ➜ Phase 19 of the vault fee reduction campaign ➜ The additional 16,000 USDD in Gate DEX rewards Drop your pick in the replies! 👇 @USDDecentralize @justinsuntron #USDD #TRONEcoStar

𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘁𝗮𝗸𝗲 𝘁𝗼 𝗴𝗿𝗼𝘄 𝗮 𝘁𝗿𝗲𝗮𝘀𝘂𝗿𝘆 𝗽𝗮𝘀𝘁 $𝟯𝟬𝗠 𝘄𝗵𝗶𝗹𝗲 𝗰𝘂𝘁𝘁𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗻𝗱𝗶𝘁𝘂𝗿𝗲 𝗯𝘆 𝟲𝟵.𝟰%? 👀 USDD's Q3 2026 Treasury Performance gives us some interesting numbers to unpack. And there is more to this update than revenue alone. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘀𝘁𝗼𝗼𝗱 𝗼𝘂𝘁 𝗶𝗻 𝗤𝟯 👇 ➜ 𝗥𝗲𝘃𝗲𝗻𝘂𝗲: $9.70M, up 26.7% quarter over quarter. ➜ 𝗣𝗿𝗼𝗳𝗶𝘁 𝗮𝗻𝗱 𝗟𝗼𝘀𝘀: +$9.70M reported. ➜ 𝗘𝘅𝗽𝗲𝗻𝗱𝗶𝘁𝘂𝗿𝗲: $7.60K, down 69.4% quarter over quarter. ➜ 𝗧𝗿𝗲𝗮𝘀𝘂𝗿𝘆 𝗕𝗮𝗹𝗮𝗻𝗰𝗲: $31.24M, crossing the $30M mark for the first time. But what do these numbers actually tell us? 𝗟𝗲𝘁'𝘀 𝗯𝗿𝗲𝗮𝗸 𝗶𝘁 𝗱𝗼𝘄𝗻. ➤ 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗶𝘀 𝗴𝗿𝗼𝘄𝗶𝗻𝗴 USDD generated $9.70M in quarterly revenue, representing a 26.7% increase from the previous quarter. In simple terms, the treasury generated more revenue than it did in Q2. That is a meaningful development because revenue generation helps show how effectively the treasury's strategy is performing. ➤ 𝗦𝗺𝗮𝗿𝘁 𝗔𝗹𝗹𝗼𝗰𝗮𝘁𝗼𝗿 𝗶𝘀 𝗮 𝗸𝗲𝘆 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗼𝗿 Smart Allocator generated $9.11M, making it the primary revenue contributor in Q3. That means most of the reported quarterly revenue came from this strategy. For me, this is one of the most important figures to watch because understanding where revenue comes from matters just as much as knowing how much was generated. ➤ 𝗘𝘅𝗽𝗲𝗻𝗱𝗶𝘁𝘂𝗿𝗲 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 𝘀𝗵𝗮𝗿𝗽𝗹𝘆 Quarterly expenditure fell by 69.4% compared with Q2, reaching $7.60K. Lower expenditure alongside higher revenue is an interesting combination. It points to improved treasury efficiency, although understanding the full picture also requires looking at what the expenditure covers and whether the trend continues. ➤ 𝗧𝗵𝗲 𝘁𝗿𝗲𝗮𝘀𝘂𝗿𝘆 𝗰𝗿𝗼𝘀𝘀𝗲𝗱 $𝟯𝟬𝗠 USDD's total treasury balance reached $31.24M, surpassing $30M for the first time. This is another major milestone because the treasury represents an important part of the project's financial resources. The next thing worth watching is how that balance evolves alongside revenue, expenditure, and the performance of its revenue generating strategies. 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿? A treasury update is not just about putting big numbers on a dashboard. It gives the community a clearer picture of revenue generation, spending, and the resources available to support the project. USDD's Q3 figures show higher reported revenue, a substantial reduction in expenditure, and a treasury balance that has moved beyond $30M. The real test from here is whether this performance can be sustained and how the treasury develops in the next quarter. 📈 𝗤𝟰 𝘄𝗮𝘁𝗰𝗵𝗹𝗶𝘀𝘁: ➜ Revenue growth and its underlying drivers. ➜ Smart Allocator's continued contribution. ➜ Treasury balance and expenditure trends. ➜ The consistency of financial performance over time. Explore the full treasury dashboard: usdd.io/treasury Now I'm curious 👇 𝗪𝗵𝗮𝘁 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗨𝗦𝗗𝗗 𝘁𝗿𝗲𝗮𝘀𝘂𝗿𝘆 𝗺𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲 𝗶𝗻 𝗤𝟰 𝟮𝟬𝟮𝟲? 👀 @USDDecentralize @justinsuntron #USDD #TRONEcoStar

𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘄𝗵𝗲𝗻 $𝗕𝗧𝗧 𝗺𝗲𝗲𝘁𝘀 𝗗𝗲𝗙𝗶? 👀 The total supply of $BTT on #JustLendDAO has exceeded $1,160,000! 🔥 But why is this worth paying attention to? JustLend DAO is a decentralized finance platform where users can access supported crypto lending and borrowing services through blockchain based smart contracts. In simple terms, DeFi brings financial services onto blockchain networks, allowing users to interact with supported services without relying entirely on traditional financial intermediaries. So, what does this #BTT milestone tell us? ➜ 𝗠𝗼𝗿𝗲 $𝗕𝗧𝗧 𝗼𝗻 𝗝𝘂𝘀𝘁𝗟𝗲𝗻𝗱 𝗗𝗔𝗢 The reported figure highlights the scale of BTT represented in the JustLend DAO market. ➜ 𝗔 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗗𝗲𝗙𝗶 It puts BTT within a decentralized financial ecosystem where users can explore supported lending and borrowing opportunities. ➜ 𝗔 𝗠𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲 𝗪𝗼𝗿𝘁𝗵 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 The next step is understanding how this market develops and what the platform's current data reveals. One important distinction: the reported $1.16 million refers to the total supply figure shown for BTT on JustLend DAO. It should not automatically be interpreted as $1.16 million in new deposits, trading volume, or guaranteed demand. Always check the live market details before making a decision. The BTT ecosystem continues to connect with the wider DeFi landscape. 👀 🔗 Explore the BTT market on JustLend DAO: app.justlend.org/marketDetai… What do you think this milestone means for BTT adoption across DeFi? @BitTorrent @justinsuntron #TRONEcoStar

📢 𝗟𝗔𝗦𝗧 𝗪𝗘𝗘𝗞 𝗜𝗡 #BitTorrent What happens when a blockchain ecosystem keeps building while millions of people continue using its products? 👀 From a brand upgrade and a new Whitepaper to a completed $BTT buyback and burn, BitTorrent had several important updates last week. Here is what you need to know. 🧵👇 𝟭/ 𝗔 𝗡𝗘𝗪 𝗖𝗛𝗔𝗣𝗧𝗘𝗥 𝗙𝗢𝗥 𝗕𝗜𝗧𝗧𝗢𝗥𝗥𝗘𝗡𝗧 ➜ The BitTorrent brand upgrade is officially live. ➜ The new BitTorrent Whitepaper is now available. A brand upgrade refreshes how a project presents itself, while a Whitepaper explains its vision, technology, and plans. Together, these updates give the community a fresh look at the BitTorrent ecosystem and a document to explore its direction in greater detail. 𝟮/ $𝗕𝗧𝗧 𝗕𝗨𝗬𝗕𝗔𝗖𝗞 𝗔𝗡𝗗 𝗕𝗨𝗥𝗡 🔥 The first quarterly BTT buyback and burn for Q3 of 2026 has been completed. But what does that actually mean? ➜ A buyback involves purchasing tokens from the market. ➜ A burn permanently removes tokens from circulation by sending them to an inaccessible address or using another verifiable destruction mechanism. The purpose of a buyback and burn program is to reduce the number of tokens in circulation when the purchased tokens are permanently destroyed. However, a burn alone does not guarantee that the token price will increase. Market demand, supply, and other factors still matter. The key update is that BitTorrent has completed its first quarterly BTT buyback and burn for Q3 of 2026. 𝟯/ 𝟱𝟴𝟳,𝟵𝟮𝟴,𝟯𝟴𝟯 𝗕𝗜𝗧𝗧𝗢𝗥𝗥𝗘𝗡𝗧 𝗖𝗟𝗜𝗘𝗡𝗧 𝗜𝗡𝗦𝗧𝗔𝗟𝗟𝗔𝗧𝗜𝗢𝗡𝗦 Think about how many people have used BitTorrent to access and share files over the years. According to the weekly report, BitTorrent client installations have reached 587,928,383. That is a remarkable milestone for a product built around peer to peer file sharing, a system where users can exchange pieces of files directly with one another rather than relying entirely on a single central server. One important distinction, though. Installations are not the same as active users or unique people. Still, the figure highlights the enormous reach of the BitTorrent client. 𝟰/ 𝗕𝗧𝗧𝗖 𝗦𝗧𝗔𝗞𝗜𝗡𝗚 𝗔𝗣𝗬 𝗥𝗘𝗔𝗖𝗛𝗘𝗦 𝗨𝗣 𝗧𝗢 𝟲.𝟴𝟰% Another notable update concerns BTT staking on BitTorrent Chain, also known as BTTC. The reported annual percentage yield, or APY, has reached up to 6.84%. In simple terms, staking involves committing eligible tokens to a blockchain mechanism under specified conditions. APY expresses the annualized return rate, potentially including the effect of compounding. The words “up to” matter here. The reported 6.84% is a maximum stated rate, not a guaranteed return for every participant. Actual rewards can depend on the staking terms and applicable conditions. For holders exploring staking, understanding those conditions is just as important as looking at the headline percentage. 𝟱/ 𝗪𝗛𝗔𝗧 𝗧𝗛𝗜𝗦 𝗪𝗘𝗘𝗞 𝗧𝗘𝗟𝗟𝗦 𝗨𝗦 Look at the bigger picture. ➠ The brand upgrade refreshes BitTorrent's public identity. ➠ The new Whitepaper gives the community more information about the project's direction. ➠ The completed quarterly BTT buyback and burn marks progress on its token supply initiative. ➠ The installation milestone highlights the BitTorrent client's extensive reach. ➠ The reported staking APY gives eligible BTT holders another development to examine within the BTTC ecosystem. These updates cover different parts of the ecosystem, from the product and its users to token supply and staking. And that is why looking beyond a single headline matters. 𝗧𝗛𝗘 𝗕𝗢𝗧𝗧𝗢𝗠 𝗟𝗜𝗡𝗘 BitTorrent's weekly update brings together product developments, ecosystem activity, and token related milestones. The real value is in understanding what each update means, rather than simply counting announcements. Which development interests you most, the new Whitepaper, the completed BTT buyback and burn, the 587 million plus client installations, or the staking APY of up to 6.84%? Drop your thoughts below. 👇 🖱️ Learn more: medium.com/@BitTorrent/bitto… @BitTorrent @justinsuntron #BTT #BTTC #TRONEcoStar

📢 𝗧𝗥𝗢𝗡 𝗘𝗰𝗼 𝗪𝗲𝗲𝗸𝗹𝘆 𝗥𝗲𝗰𝗮𝗽: 𝗢𝗰𝘁 𝟭𝟮 𝘁𝗼 𝗢𝗰𝘁 𝟭𝟴 Big token burns. New exchange listings. Growing adoption. Fresh AI developments. The TRON ecosystem had plenty happening this week, and some of these numbers deserve a closer look. Here are the key developments you should know about. 🧵👇 𝟭/ 🔥 𝗧𝗼𝗸𝗲𝗻 𝗕𝘂𝘆𝗯𝗮𝗰𝗸𝘀 & 𝗕𝘂𝗿𝗻𝘀 Two major developments put token supply in focus. ➜ $JST: Completed its 5th buyback and burn, removing 170,723,144 JST, representing 1.72% of its total supply. ➜ $BTT: BitTorrent completed its brand upgrade and first quarterly buyback and burn, burning over 21.6 trillion BTT, valued at approximately $7.6 million. Buybacks and burns can reduce token supply by purchasing tokens and permanently removing them from circulation. The important part is tracking the actual amounts burned and how these mechanisms evolve over time. 𝟮/ 𝗗𝗲𝗙𝗶 & 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 Adoption is not just about token prices. It is also about people using the infrastructure. ➜ GasFree surpassed 500,000 users, helping simplify transaction fee payments for supported transfers. ➜ USDT supply on TRON surpassed $94.25 billion as of October 16. USDT is a stablecoin designed to maintain a value close to one US dollar. Its supply on TRON reflects the amount of USDT issued on the network, not the amount of money earned by TRON. These developments highlight two different aspects of the ecosystem, easier transaction experiences and substantial stablecoin availability. 𝟯/ 𝗡𝗲𝘄 𝗟𝗶𝘀𝘁𝗶𝗻𝗴𝘀 More access for token holders. ➜ $SUN is now listed on Uphold. ➜ $WIN is now listed on Uphold. Exchange listings give eligible users another way to access these tokens, subject to the platform's supported markets and regional availability. 𝟰/ 𝗔𝗜 & 𝗔𝗴𝗲𝗻𝘁𝘀 AI development also made the weekly recap. ➜ B.AI launched its first weekly token usage rankings for Chinese AI models covering October 9 to October 15. ➜ Its MiMo model lineup was upgraded to MiMo V2.6 Pro and MiMo V2.6 Flash. ➜ The B.AI website and web chat expanded language support to 11 languages. Better model capabilities and broader language support can make AI tools accessible to more people, while usage rankings offer another way to observe changing interest in AI models. 𝟱/ 𝗠𝗼𝗿𝗲 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗨𝗽𝗱𝗮𝘁𝗲𝘀 A few more developments caught my attention. ➜ BitTorrent released its new whitepaper. ➜ Global BitTorrent installations reached 587,928,383 as of October 14. ➜ The staking APY of $BTT on BTTC reached 6.84% on October 16. ➜ WINkLink's total supply reached $1.39 million in value, with total borrowing standing at $4.39K on JustLend DAO as of October 15. ➜ TRON Inc. acquired an additional 150,195 TRX at an average price of $0.3329 on October 9, taking its treasury holdings beyond 719 million TRX. ➜ The circulating supply of USDT on TRON surpassed $94.25 billion, marking annual growth of more than $18.6 billion. Each update highlights a different part of the broader ecosystem, from decentralized finance and infrastructure to AI and treasury activity. 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝗽𝗶𝗰𝘁𝘂𝗿𝗲 Token burns, exchange listings, stablecoin activity, AI upgrades, and infrastructure milestones all contribute to the evolving TRON ecosystem. No single metric tells the whole story. The value is in following the developments, understanding what each one means, and tracking what happens next. Which update caught your attention most this week, JST and BTT burns, GasFree adoption, or the AI developments? @trondao @OfficialSUNio @DeFi_JUST @BitTorrent @AINFTcom @WinkLink_Oracle @USDDecentralize @justinsuntron #TRONEcoStar

𝗝𝗨𝗦𝗧 𝗪𝗲𝗲𝗸𝗹𝘆 𝗶𝘀 𝗵𝗲𝗿𝗲. 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁’𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝗮𝗰𝗿𝗼𝘀𝘀 𝗧𝗥𝗢𝗡 𝗗𝗲𝗙𝗶. 👀 From ecosystem liquidity to lending activity, yield opportunities, and $JST buybacks and burns, the latest snapshot for October 13 to October 19 brings the numbers together. Here are the key highlights. 💧 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗟𝗶𝗾𝘂𝗶𝗱𝗶𝘁𝘆 ➜ JUST Ecosystem TVL: $12.24B ➜ Share of TRON DeFi: 43.66% 🏦 𝗟𝗲𝗻𝗱𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁 𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝘆 ➜ Total Supply: $3.899B ➜ Total Borrow: $209.90M These figures offer a look at the assets supplied to lending markets and the capital borrowers are accessing. 📈 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝗱 𝗬𝗶𝗲𝗹𝗱 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 ➜ sTRX: 4.43% APY ➜ USDD: 4.04% APY ➜ TRX: 0.30% APY APY means Annual Percentage Yield, an annualized measure of potential returns. Rates can change, and actual results depend on market conditions and applicable risks. 🔥 𝗝𝗦𝗧 𝗕𝘂𝘆𝗯𝗮𝗰𝗸 & 𝗕𝘂𝗿𝗻 Across five rounds of #JST buybacks and burns: ➜ Cumulative buyback value: $118.15M ➜ Total supply burned: 19.01% A recurring mechanism becomes more meaningful when its cumulative impact can be tracked over time. ⚡ 𝗘𝗻𝗲𝗿𝗴𝘆 𝗥𝗲𝗻𝘁𝗮𝗹 ➜ Price: 4.218 TRX per 100K Energy Energy helps power smart contract transactions on TRON. Renting it can help users manage the resources needed to interact with decentralized applications. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 One snapshot brings together liquidity, lending, potential yields, token supply changes, and transaction resource costs. It gives the community more context to understand what is happening across the TRON DeFi ecosystem, rather than looking at token prices alone. This is JUST, every week. 🔗 Explore the markets: app.justlend.org/marketNew @DeFi_JUST @justinsuntron #TRONEcoStar

📊 𝗪𝗵𝗮𝘁 𝗱𝗼 𝘁𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀 𝘀𝗮𝘆 𝗮𝗯𝗼𝘂𝘁 #𝗝𝘂𝘀𝘁𝗟𝗲𝗻𝗱𝗗𝗔𝗢? There is more to DeFi than token prices. Sometimes, the bigger story is in the liquidity flowing through the ecosystem. 👀 Here is a snapshot of JustLend DAO’s activity. 💰 𝗧𝗩𝗟: $7.16B 📥 𝗧𝗼𝘁𝗮𝗹 𝗦𝘂𝗽𝗽𝗹𝘆: $3.89B 📤 𝗧𝗼𝘁𝗮𝗹 𝗕𝗼𝗿𝗿𝗼𝘄𝗲𝗱: $209.89M 🎁 𝗗𝗮𝗶𝗹𝘆 𝗠𝗶𝗻𝗶𝗻𝗴 𝗥𝗲𝘄𝗮𝗿𝗱𝘀: 46,641 $USDD 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻? ➜ TVL, or Total Value Locked, represents the value of assets deposited across the platform. ➜ Supply shows the assets users have deposited into lending markets to potentially earn interest. ➜ Borrowed represents the value of assets users have taken out as loans. ➜ Daily Mining Rewards highlights the USDD rewards allocated daily to the mining program. Together, these figures offer a glimpse into the capital available, the lending activity taking place, and the incentives supporting participation. And that is what makes DeFi worth watching. 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝗽𝗶𝗰𝘁𝘂𝗿𝗲 🔍 Liquidity gives users access to lending and borrowing opportunities. Incentives can encourage participation, while actual returns depend on market conditions, program rules, and the risks involved. The real question is not just how much capital is in the ecosystem, but how people are using it. Liquidity grows. So do the opportunities built on top of it. 🌱 🔗 Explore the markets and track the activity on JustLend DAO: app.justlend.org/marketNew @DeFi_JUST @justinsuntron #TRONEcoStar

🚀 𝗬𝗼𝘂𝗿 #𝗨𝗦𝗗𝗗 𝟮.𝟬 𝗺𝗶𝗻𝗶𝗻𝗴 𝗿𝗲𝘄𝗮𝗿𝗱𝘀 𝗮𝗿𝗲 𝗿𝗲𝗮𝗱𝘆. 𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗰𝗹𝗮𝗶𝗺𝗲𝗱 𝘆𝗼𝘂𝗿𝘀? 👀 Week 1 mining rewards for USDD 2.0 Supply Mining Phase 23rd are now live! 🎉 If you participated in the campaign, you can now claim your earned rewards on #JustLendDAO. Here is your reminder not to leave your rewards unclaimed. 𝗛𝗼𝘄 𝘁𝗼 𝗰𝗹𝗮𝗶𝗺 𝘆𝗼𝘂𝗿 𝗿𝗲𝘄𝗮𝗿𝗱𝘀 👇 ➜ Step 1: Visit the official JustLend DAO app. ➜ Step 2: Connect the wallet you used to participate in the mining campaign. ➜ Step 3: Open the mining rewards section and check your available rewards. ➜ Step 4: Click Claim and approve the transaction in your wallet. ➜ Step 5: Confirm the transaction and check that your rewards have been credited. 📖 Need the full walkthrough? Follow the official guide here: support.justlend.org/hc/en-u… 👉 Claim your rewards here: app.justlend.org/home Remember, always use the official website and verify the wallet transaction before approving it. Consistency compounds. You showed up for the mining campaign, now make sure you collect what you have earned. 🔥 Have you claimed your Week 1 rewards yet? @DeFi_JUST @USDDecentralize @justinsuntron #TRONEcoStar

📈 𝗜𝘀 $𝗝𝗦𝗧 𝗴𝗮𝗶𝗻𝗶𝗻𝗴 𝗺𝗼𝗺𝗲𝗻𝘁𝘂𝗺? 👀 The latest figures from CoinMarketCap put #JustLendDAO’s $JST in focus. Here is what stands out: 🔹 𝗣𝗿𝗶𝗰𝗲: $0.1381, up 2.51% in 24 hours 🔹 𝗠𝗮𝗿𝗸𝗲𝘁 𝗖𝗮𝗽: $1.1B 🔹 𝟮𝟰𝗵 𝗧𝗿𝗮𝗱𝗶𝗻𝗴 𝗩𝗼𝗹𝘂𝗺𝗲: $34.39M, up 11.95% 🔹 𝗖𝗶𝗿𝗰𝘂𝗹𝗮𝘁𝗶𝗻𝗴 𝗦𝘂𝗽𝗽𝗹𝘆: 8.01B JST 🔹 𝗧𝗼𝗸𝗲𝗻 𝗛𝗼𝗹𝗱𝗲𝗿𝘀: 441.66K 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿? 🔍 The 11.95% increase in trading volume means more dollar value in JST trades took place over the past 24 hours compared with the previous 24 hour period. Combined with the 2.51% price increase, it is a sign of increased market activity worth watching. But volume alone does not tell us whether buying or selling is driving the move, or whether the momentum will continue. 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝗽𝗶𝗰𝘁𝘂𝗿𝗲 JustLend DAO is part of the TRON DeFi ecosystem, where users can access decentralized lending and borrowing services. For anyone following JST, the next step is to watch whether trading activity sustains itself and how price responds. 📊 More activity. More data to watch. The next move is still unfolding. Are you watching JST closely? 👀 @DeFi_JUST @justinsuntron #TRONEcoStar

𝗪𝗵𝗲𝗿𝗲 𝗶𝘀 𝘁𝗵𝗲 𝗺𝗼𝗻𝗲𝘆 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗺𝗼𝘃𝗶𝗻𝗴 𝗼𝗻 𝗝𝘂𝘀𝘁𝗟𝗲𝗻𝗱 𝗗𝗔𝗢? 👀 One interesting thing about DeFi is that you can see which assets people are supplying and which ones they are borrowing. And the latest #JustLendDAO Weekly TOP3 rankings, dated October 19, 2026, reveal an interesting picture. Let's break it down. 👇 📥 𝗦𝘂𝗽𝗽𝗹𝘆 𝗠𝗮𝗿𝗸𝗲𝘁: 𝗪𝗵𝗲𝗿𝗲 𝗨𝘀𝗲𝗿𝘀 𝗘𝗮𝗿𝗻 When users supply crypto to JustLend DAO, they deposit assets into lending markets where borrowers can access liquidity. In return, suppliers can earn interest based on market conditions. Here are the three largest assets by Total Supply: 🥇 ETH ➜ Total Supply: $1.17B ➜ Supply APY: <0.01% 🥈 sTRX ➜ Total Supply: $783.27M ➜ Supply APY: 4.42% 🥉 TRX ➜ Total Supply: $744.61M ➜ Supply APY: 0.30% 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝘁𝗲𝗹𝗹 𝘂𝘀? ETH leads in Total Supply, but sTRX has the highest Supply APY among these three assets. That distinction matters. Having the most capital supplied does not automatically mean an asset offers the highest interest rate. The amount supplied and the yield available are two different things. 📤 𝗕𝗼𝗿𝗿𝗼𝘄 𝗠𝗮𝗿𝗸𝗲𝘁: 𝗪𝗵𝗲𝗿𝗲 𝗟𝗶𝗾𝘂𝗶𝗱𝗶𝘁𝘆 𝗜𝘀 𝗡𝗲𝗲𝗱𝗲𝗱 Borrowing works differently. Users provide collateral, meaning assets pledged as security, to access other assets without necessarily selling their existing holdings. Borrowers pay interest, and the cost varies depending on the asset and market conditions. Here are the three largest assets by Total Borrow: 🥇 USDT ➜ Total Borrow: $139.51M ➜ Borrow APY: 3.83% 🥈 TRX ➜ Total Borrow: $59.11M ➜ Borrow APY: 4.28% 🥉 U ➜ Total Borrow: $1.91M ➜ Borrow APY: 3.43% 𝗦𝗼, 𝘄𝗵𝗮𝘁 𝘀𝘁𝗮𝗻𝗱𝘀 𝗼𝘂𝘁? USDT leads the Borrow Market by a considerable margin, while TRX has the highest Borrow APY among the three. This gives us two useful perspectives. ➜ Total Borrow shows how much of an asset users have borrowed. ➜ Borrow APY shows the annualized interest rate borrowers are paying at that point in time. These numbers help us understand how lending and borrowing activity is distributed across JustLend DAO. 𝗧𝗵𝗲 𝗕𝗶𝗴𝗴𝗲𝗿 𝗣𝗶𝗰𝘁𝘂𝗿𝗲 🔍 Supply reveals where users are placing capital to potentially earn. Borrow reveals where users are accessing liquidity. But the largest market is not necessarily the most profitable, and the highest APY is not automatically the best opportunity. Interest rates can change, and borrowing comes with costs and collateral liquidation risks. That is why understanding both sides of the market matters before making a DeFi decision. 𝗟𝗶𝗾𝘂𝗶𝗱𝗶𝘁𝘆 𝗮𝗹𝘄𝗮𝘆𝘀 𝗹𝗲𝗮𝘃𝗲𝘀 𝗰𝗹𝘂𝗲𝘀. And knowing how to read those clues is part of becoming a more informed DeFi participant. 🔗 Explore the JustLend DAO Supply Market and current rates: app.justlend.org/homeNew?lan… @DeFi_JUST @justinsuntron #TRONEcoStar