From Stablecoins to AI Agents: The Next Payment Shift Is Already Here Stablecoins changed the way digital value moves. Now AI agents are changing who can initiate those payments. An agent can find a service, negotiate a price, make a payment and complete a transaction without someone manually approving every step. That creates a new challenge: How do we know who authorized the agent to act? As agentic commerce grows, payment infrastructure will need more than speed and settlement. It will need identity, authorization and accountability. That’s why this conversation is worth following. On August 26 at 09:00 AM UTC, Concordium CGO @KabraVarunkabra joins @graminitha1, Marketing Operations Lead at @BitcoinCom, to discuss the future of digital payments. The move from “who is paying?” to “which agent is paying, on whose behalf, and under what authority?” could be one of the biggest shifts in digital finance. Set your reminder. #Concordium# #ConcordiumAmbassador#

Giving an AI agent a wallet is probably the easy part. The harder part starts when you ask, “Who told this thing it was allowed to spend the money?” That distinction becomes pretty important once agents start doing more than sending test transactions. An agent could be paying for data, buying a service, settling a bill, or handling funds for a business. The wallet can sign the transaction, but the signature alone does not tell you who gave the agent permission to act. It is a bit like handing someone your company card and saying, “Go ahead.” The card works. The payment goes through. But your accountant is still going to ask who approved the purchase when the bill shows up. Agent identity matters and that is why @Concordium is working tirelessly for an AI agent to have a verifiable connection to the human or business standing behind it, while keeping sensitive identity information private. As agents get more control over money, knowing what an agent can do will matter. Knowing who authorised it to do it will matter just as much. #Concordium# #ConcordiumAmbassador#

You know AI access is getting interesting when the question stops being “Which model can I afford?” and becomes “Which one should I try first?” now has three powerful models available for free: DeepSeek V4 Flash Vision Exp Multimodal intelligence with strong coding, text and Agent capabilities, plus native image understanding. Useful for things like UI reconstruction, visual effects and presentation generation. Tencent Hy3 Built around hybrid fast/slow thinking, with a focus on agent workflows, complex coding and long-context tasks. Xiaomi MiMo V2.5 A 310B sparse MoE multimodal model with a 1M-token context window, supporting text, image, video and audio. Built for multimodal agents, coding and media analysis. The interesting part is that these aren't three versions of the same thing. They each bring a different strength to the table, and puts them in one place so you can actually test them and decide what fits your workflow. And they're currently free. If you've been meaning to explore what today's AI models can actually do, this is a good time to start. Try them on #BAI# #TRONEcoStar# @justinsuntron @BAI_AGI

Last week was a big one for The platform crossed 1 trillion total tokens in just 5 days, while several powerful AI models became available for free. Here’s the quick recap from August 17–23: • 1T+ tokens processed in 5 days • 285.963B tokens reached in a single day • DeepSeek V4 Flash went fully free • DeepSeek V4 Flash Vision Exp and Tencent Hy3 also joined the free lineup • Xiaomi MiMo V2.5 and V2.5 Pro arrived on the API • The Android app added real-time response times, making it easier to choose a faster connection • released a complete platform guide covering models, Web Chat, API access, top-ups, subscriptions and referrals • 4,547 new users joined on August 18, including 3,677 API users The interesting part is the direction. @BAI_AGI isn't just adding more models. It's making access to powerful AI simpler and more affordable, whether you're experimenting with AI, building applications, or just looking for better tools to work with. And with multiple models now available for free, there’s a lot more to explore. 1T+ tokens in 5 days is only the beginning. #TRONEcoStar# @justinsuntron #TRON#

Most people hear “token utility” and immediately think of payments or staking. But inside BTTInferGrid, the token is designed to play a much deeper role in the AI infrastructure stack. 𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝗶𝘁 𝗳𝗶𝘁𝘀 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗻𝗲𝘁𝘄𝗼𝗿𝗸: 1. Payment Medium The token can be used to pay for AI inference services, creating a direct economic link between users and the compute they consume. 2. Incentive Mechanism Miners contribute computational resources and are rewarded based on their verified computational contribution. 3. Staking Asset Validators stake tokens to participate in the network’s scoring and verification process, putting economic value behind honest participation. 4. Slashing Collateral Bad or negligent behavior comes with consequences. Staked tokens can be slashed to help protect the integrity of the network. That creates an interesting economic loop: AI demand → inference usage → network contributors → verification → rewards → security. The important part is that the token isn't simply sitting on the sidelines. It is connected to payments, incentives, participation and network security. That is the kind of utility worth watching as decentralized AI infrastructure evolves. BTTInferGrid is building an economic layer around AI inference. Explore more at #TRONEcoStar# @justinsuntron @BitTorrent

𝗕𝗶𝘁𝗧𝗼𝗿𝗿𝗲𝗻𝘁 𝗪𝗲𝗲𝗸𝗹𝘆 𝗥𝗲𝗰𝗮𝗽 | 𝗪𝗲𝗲𝗸 𝟯𝟰 Another week, another solid look at the BitTorrent ecosystem. From market activity to network usage and ecosystem growth, here are the numbers from August 17–23, 2026: ✔ BTT Market • $293M market cap • $50M weekly trading volume • BTT climbed 16.58%, opening at $0.0000002611 and reaching $0.0000003044 ✔ Network Activity • 250,031 real-time BTT accounts • 3,351,018 total BTT transactions • 7,693 new transactions during the week ✔ Community Growth • BitTorrent client installations reached 584.69M ✔ Ecosystem • Over $1.01M worth of BTT reported on JustLend DAO • $BTT staking on BTTC reached up to 6.44% APY • BitTorrent Speed surpassed 585M wallets The bigger picture is worth watching. BitTorrent started by changing how people shared files across the internet. Today, that decentralized foundation extends into blockchain infrastructure, with BTT, BTTC, BitTorrent Speed and other ecosystem products building on the same broader idea: distributed networks can work at massive scale. Week 34 shows that the ecosystem is still moving. #BitTorrent# #TRONEcoStar# @BitTorrent @justinsuntron

$𝟭.𝟭𝗕 𝗶𝗻 𝟯𝟬 𝗗𝗮𝘆𝘀: 𝗨𝗦𝗗𝗧 𝗜𝘀 𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗧𝗥𝗢𝗡 Something interesting is happening beneath the stablecoin headlines. Over the past 30 days, USDT’s market cap on TRON increased by $1.1 billion. The next-fastest-growing chain, Aptos, added $130.3 million. That puts TRON’s growth at more than 8x Aptos’ increase over the same period. Why does this matter? USDT is one of the most important liquidity assets in crypto. When its supply expands on a network, it means more stablecoin capital is available for transfers, trading, payments and DeFi. And the latest numbers show that a significant amount of that capital is continuing to flow toward TRON. This isn't simply about having a large USDT supply. It's about where stablecoin liquidity is being deployed and where users are moving capital. TRON's growing USDT footprint reinforces its position as a major settlement layer for stablecoin activity. $1.1B added in 30 days is not a small signal. The stablecoin economy is expanding, and TRON is capturing a meaningful share of that growth. $TRX #TRONEcoStar# @justinsuntron #TRON#

Imagine an oracle network generating revenue every quarter and then using that revenue to directly support its own token economy. That’s the model WINkLink is introducing with its new long-term $WIN buyback and burn program, starting in Q3 2026. 𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: The Revenue Loop → WINkLink generates revenue from providing oracle and data services across the TRON ecosystem. → 100% of the revenue generated from these services will be allocated to $WIN buybacks on a quarterly basis. → The tokens will be purchased directly from the market at market price. → All repurchased $WIN will then be sent to a burn address, permanently removing those tokens from circulation. So the basic mechanism is: WINkLink usage → Service revenue → $WIN buybacks → Permanent burns What Happens Next? Q3 2026: The first batch of $WIN buybacks begins. Mid-October 2026: WINkLink plans to complete the first burn and publish the results. After that, the process is designed to continue quarterly. Where Transparency Comes In This isn't a system where the community has to simply take someone's word for it. For each quarterly cycle, WINkLink will publish: → Total $WIN burned → Percentage of total supply burned → On-chain transaction hash That gives the community a way to independently verify the execution on-chain. And There’s Room for the Buyback Pool to Grow The initial revenue source is WINkLink's data services for TRON-based products. As the ecosystem expands, additional services such as on-chain RWA data could create new revenue streams and potentially increase the funds available for future buybacks. That's the part worth watching. WINkLink isn't presenting this as a one-off token burn. It's establishing a recurring mechanism tied to the actual revenue generated by its services. The first major checkpoint is mid-October 2026, when the Q3 results should show exactly how much $WIN was bought and permanently removed from circulation. Read the official WINkLink announcement #WINkLink# #TRONEcoStar# @justinsuntron @WinkLink_Oracle

Tuesday morning is one worth clearing your calendar for. Stablecoins quietly changed how value moves online. Payments that once took days now settle in seconds across borders, without a bank sitting in the middle. That was a big shift. What's happening now with AI agents is a different kind of shift entirely, because it's changing who can move value, not just how. @Concordium's CGO Varun Kabra has been vocal about where this is heading. When an agent books a flight or handles a financial transaction today, the counterparty has no way to verify whether a real accountable human is behind it. That gap is exactly the problem the payments industry is scrambling to address right now. On Tuesday August 26 at 9AM UTC, Varun sits down with @graminitha1, Marketing Operations Lead at @BitcoinCom, to dig into the future of digital payments. How stablecoins laid the groundwork. Where AI agents take it next. And what accountability infrastructure needs to look like before agentic payments can scale responsibly. Set your reminder before this one starts. #Concordium# #ConcordiumAmbassador#

Before streaming platforms, cloud storage and modern content delivery became everyday infrastructure, there was a much simpler idea: let the people sharing the data help deliver it. That idea became BitTorrent. In 2001, Bram Cohen introduced the BitTorrent protocol, changing how large files could move across the internet. Instead of relying on one central server to deliver an entire file, BitTorrent allowed users to exchange pieces of that file with one another. The result was a more efficient peer-to-peer distribution model that could make better use of the bandwidth already available across the network. And the growth was remarkable. By January 2011, BitTorrent and µTorrent had reached 100 million active monthly users, with more than 20 million daily active users and clients connecting from over 220 countries every day. Less than a year later, the combined ecosystem had passed 150 million active monthly users. Then came another major milestone. In 2020, BitTorrent surpassed 2 billion client installations across Windows, Mac and Android. That history matters because @BitTorrent was never simply about downloading files. The underlying technology demonstrated something much bigger: a global network can distribute data by putting users and their available bandwidth to work. Over the years, the protocol has also been used beyond ordinary file sharing. BitTorrent has highlighted applications ranging from software and firmware distribution to gaming updates, scientific datasets and large-scale data transfers. Today, BitTorrent says its applications across the BitTorrent and µTorrent brands have been downloaded more than 2 billion times, while the protocol continues to power a significant share of global internet traffic. And now, 25 years after the protocol was born, the story continues. BitTorrent is celebrating 25 years of sharing with a limited-time 25% OFF Pro annual plan promotion for BitTorrent and µTorrent. Use code 25FOR25 at checkout. But there’s a catch: The offer expires August 25, 2026 at 00:00 UTC. So if you've been part of the swarm for years, or you’re discovering BitTorrent for the first time, this is the final window to claim the anniversary discount. Visit BitTorrent 25 years later, the idea is still remarkably simple: don't just connect to the internet. Help power it. #BitTorrent# #TRONEcoStar# @BitTorrent @justinsuntron

𝗧𝗥𝗢𝗡 𝗘𝗰𝗼 𝗪𝗲𝗲𝗸𝗹𝘆 𝗥𝗲𝗰𝗮𝗽: 𝗔 𝗪𝗲𝗲𝗸 𝗼𝗳 𝗗𝗲𝗙𝗶, 𝗔𝗜 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗚𝗿𝗼𝘄𝘁𝗵 The TRON ecosystem had another busy week, August 17–23, with developments spanning DeFi, AI, stablecoins and core infrastructure. Here’s the quick recap: 𝗗𝗲𝗙𝗶 𝗴𝗼𝘁 𝗺𝗼𝗿𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁. JustLend DAO launched Buy Energy, offering users a cheaper alternative to burning TRX for Energy, with fees around 63% lower. The ETHB market also underwent a major risk-management update, with its collateral factor moving from 75% to 45% and reserve factor from 10% to 100% following community governance. Stablecoin infrastructure expanded. GasFree Mainnet added USDD support, giving developers another stablecoin option for gasless transactions. 𝗔𝗜 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱. expanded access to models including DeepSeek-V4-Flash, DeepSeek-V4-Flash-Vision-Exp and Tencent Hy3, while also adding Xiaomi MiMo APIs. The platform crossed 1T in total token throughput, marking a major usage milestone. 𝗕𝗶𝘁𝗧𝗼𝗿𝗿𝗲𝗻𝘁 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗲𝗱 𝘀𝗰𝗮𝗹𝗶𝗻𝗴. Global BitTorrent installations surpassed 584M, reinforcing the scale of the ecosystem's decentralized content and infrastructure footprint. And across the wider network, TRON's total transfer volume surpassed $29 trillion as activity continues to grow. One week, multiple sectors, one expanding ecosystem. DeFi. Stablecoins. AI. Infrastructure. That’s the TRON Eco weekly recap. #TRONEcoStar# @justinsuntron #TRON#

TRON’s USDT activity is now operating at a scale that is difficult to ignore. According to the latest TRONSCAN data, the network recorded $168.44 billion in USDT transfer volume over the past seven days, across 16.08 million transfers. That is an average of roughly $24 billion in USDT movement every day. The supply side is growing too. TRON currently holds more than 94.27 billion USDT, with approximately 75.99 million holders. The USDT supply on the network has increased 4.42% over the past 30 days. These numbers matter because they show where blockchain usage is becoming practical: moving dollar-denominated value. TRON has also just crossed the 400 million-account milestone, another indication of the network's continued expansion. Put the figures together: 400M+ accounts 94.27B+ USDT on TRON $168.44B USDT transferred in 7 days 16.08M transfers in 7 days This is bigger than a headline about transaction volume. It is a picture of a blockchain increasingly being used as settlement infrastructure for stablecoin activity at global scale. The interesting part is not just how large TRON is today. It is how much further this infrastructure can scale as stablecoins become a bigger part of everyday payments, trading and onchain finance. The numbers are increasingly telling the story for themselves. #TRONEcoStar# @justinsuntron #TRON#

400 million accounts. That is not just another TRON milestone. It is a signal of how much onchain activity has moved from an experiment into everyday use. TRON has now crossed 400M accounts, with the network continuing to process millions of transactions and support a large share of global USDT activity. But the number itself is only part of the story. Behind those accounts are users moving stablecoins, accessing DeFi, interacting with applications, transferring value and using blockchain infrastructure for increasingly practical purposes. And that is where the next phase gets interesting. The goal is no longer simply to create more wallets. It is to make onchain infrastructure faster, more accessible and capable of supporting the next wave of users and applications. Verify info: #TRONEcoStar# @justinsuntron #TRON#

In crypto, transparency is easy to claim. The harder part is putting enough information on the table for someone else to actually verify, compare, and question. That’s why Concordium’s latest disclosure matters. CCD is now included in Blockworks’ Token Transparency Framework, and Concordium’s B1 filing has been rated “Complete.” This is not simply another badge to put on a website. The framework asks projects to disclose important information around the token and the entity behind it, including: • Token supply and allocation • Insider lock-ups • Market maker arrangements • Material risks • The entity behind the protocol • Other key token-related disclosures More importantly, the information is presented in a standardised format. That changes the way investors can research projects. Instead of piecing together information from announcements, documentation, forums and scattered sources, they can look at projects using the same disclosure framework and make more informed comparisons. And Blockworks doesn't simply publish whatever a project submits. The filing goes through a review process, including follow-up questions and challenges where answers require clarification. Only then is it classified as Complete or Partial. The numbers put this into perspective. As of August 21, the dashboard had 113 disclosures, including 76 B1 filings. Only 26 B1 filings were rated Complete. Concordium’s CCD filing is one of them. But the most meaningful part isn't the label. It's the principle behind it. Crypto needs an environment where investors don't have to rely solely on narratives, marketing or social media to understand what they're buying. Good disclosure gives people the information to ask better questions. And the real test of transparency isn't what a project publishes once. It's whether the information continues to hold up as the ecosystem evolves. That is the standard that matters. @Concordium putting CCD through a structured, public disclosure process is a meaningful step toward making token transparency something measurable rather than something projects simply claim. Less opacity. More information. Better questions. Better-informed markets. That is what transparency should be about. #Concordium# #Blockchain# #ConcordiumAmbassador#

Most AI platforms make you choose between model quality, flexibility, and cost. is taking a different approach. Its current 100% FREE model lineup gives users access to three very different models, each suited to a different kind of workload. DeepSeek-V4-Flash from @deepseek_ai is built for speed and high-concurrency use. It’s a strong option when you need fast reasoning across coding, agentic workflows, and other demanding tasks. DeepSeek-V4-Flash-Vision-Exp adds multimodal capabilities. Instead of working only with text, it brings vision into the workflow, making it useful for image understanding and vision-based applications. Then there’s Tencent Hy3 from @TencentHunyuan, a general-purpose model with strong Chinese-language capabilities and support for function calling. That makes it particularly interesting for applications that need more than simple text generation. The important part is that these aren’t three versions of the same thing. They give builders different capabilities to experiment with: V4 Flash → speed & reasoning V4 Flash Vision Exp → multimodal intelligence Tencent Hy3 → general-purpose AI & function calling And is making this lineup available 100% FREE. That changes the equation for developers, AI enthusiasts, and Web3 builders. You can test an idea without immediately worrying about inference costs. You can compare models against real workloads. You can experiment with agents, coding, vision, and tool-based applications before deciding what deserves a larger production setup. This is especially interesting at a time when AI development is moving toward agentic systems, where models need to reason, understand different types of information, call tools, and complete multi-step tasks. Lowering the cost of experimentation means more people can actually build. And has already crossed 1 trillion tokens in total throughput in just 5 days, showing how quickly users are putting the infrastructure to work. If you’ve been looking for a place to experiment with capable LLMs without starting with a bill, this is worth checking out. Three models. Different strengths. 100% free access. Explore #TRONEcoStar# @justinsuntron #TRON# @BAI_AGI

A developer starts with a simple idea: build an AI agent that can research, reason, use tools, understand images, and eventually interact with other applications. Then comes the difficult part. Which model should handle the reasoning? Which one is better for vision? Which is faster? Which one gives the best results for the cost? And what happens when the model you depend on suddenly isn’t the best option anymore? That’s where LLM Service becomes worth exploring. Instead of building your workflow around a single AI model, gives you access to models from multiple leading providers in one place. The current lineup includes 34 models, spanning: • DeepSeek V4 Flash & V4 Pro • Qwen3.8-Max & Qwen3.8-27B • MiniMax M3 & M2.7 • Tencent Hy3 • Kimi K3 & K2.6 • GLM-5.3, 5.2 & 5.1 • GPT-5.6 variants, GPT-5.5, GPT-5.4, GPT-5.2 and more • Claude Opus, Sonnet & Haiku • Gemini 3.1 Pro, Gemini 3.5 Flash & Gemini 3 Flash And this is where the real advantage appears. You’re not just collecting model names. You’re getting choice. Working on a coding task? Pick a model that supports function calling. Building a visual application? Choose from models with visual recognition. Need a flagship model for a demanding workload? There are several options. Testing an AI agent? Compare different models and see which one actually fits the workflow instead of assuming the biggest model is automatically the best. also has Auto, which can analyze the task context and automatically route it to an appropriate LLM. For developers, there’s another important layer: API access. That means the models aren’t only useful for conversations inside a chat interface. They can become part of applications, agents, products, and automated workflows. This matters because AI development is moving fast. A model that works perfectly for your use case today may not be your best choice tomorrow. Having access to multiple models gives builders room to test, compare, optimize, and adapt without constantly rebuilding their entire stack around a single provider. And for Web3 builders entering the agentic era, that flexibility can be especially useful. The question is no longer simply: “Which AI model should I use?” It’s: “Which model is best for this specific task?” LLM Service gives you a place to explore that question. If you’re building with AI, experimenting with agents, developing Web3 applications, or simply want to see what different leading models can actually do, is worth exploring. Start here: #BAI# #TRONEcoStar# @justinsuntron #TRON# @BAI_AGI

Buy Energy just went live on JustLend DAO, and instead of just talking about it, I wanted to try it myself. So I went through the entire process, from connecting my wallet to buying Energy and checking the result. Here’s exactly how it works and what you should know before using it. 🧵👇 #TRONEcoStar# @justinsuntron #JustLendDAO# @DeFi_JUST

The first time someone sends USDT on a blockchain, they usually expect one thing: Open the wallet. Enter the address. Tap Send. Instead, they discover they need a completely different token just to pay the network fee. It's one of those moments that makes crypto feel more complicated than it needs to be. That's the problem the GasFree Framework is designed to solve. Behind what looks like a simple transfer is a carefully designed system working in the background. The wallet creates and signs the transaction. A GasFree service provider receives it, pays the network fee on the user's behalf, and broadcasts it to the blockchain. The transfer is then executed securely on-chain, with the recipient receiving the tokens as usual. To the user, the experience feels effortless. But underneath, three layers are working together: • Application Layer – where the user signs the transaction. • Service Layer – where service providers validate and relay it. • On-Chain Protocol Layer – where the transfer is securely executed on TRON. That's what good infrastructure looks like. Not adding more buttons. Not adding more complexity. Just removing unnecessary friction while keeping the security and transparency of the blockchain intact. The best technology isn't always the technology you notice. Sometimes it's the technology that quietly makes everything else feel simple. Explore today! #GasFree# #TRONEcoStar# @justinsuntron @DeFi_JUST