SAN JOSE, Calif. —Cardano users with assets remaining in SecondFi wallets are advised to migrate their funds to a new wallet they control and remain alert to phishing and recovery scams.
Following the June 2026 security incident involving SecondFi, users are being advised to understand the difference between asset migration and recovery before taking any action.
SecondFi reported that approximately 16.1 million ADA across 374 wallets was stolen during the security incident between June 21 and June 23, 2026. The company subsequently announced plans to wind down its wallet operations.
For users whose wallets still contain assets, SecondFi’s current official migration process is intended to move remaining ADA, Cardano native tokens and NFTs to a new Cardano wallet controlled by the user.
How the SecondFi Migration Works
Users with remaining assets should:
Create a new Cardano wallet with a trusted provider.
Secure the new wallet and its recovery phrase.
Copy the new wallet’s Cardano receiving address.
Open the existing official SecondFi application.
Select the wallet migration option.
Enter and carefully verify the new wallet address.
Review the migration transactions.
Sign the transactions using the normal SecondFi authentication process.
Confirm that the assets have arrived in the new wallet.
Users should never enter their SecondFi recovery phrase into the migration tool.
Migration and Recovery Are Different
Users whose wallets still contain assets should follow the migration process. Those whose assets were removed during the security incident are dealing with a recovery case, which is separate from ordinary migration.
SecondFi has advised affected users to retain their original wallet and application because they may be required during the recovery process.
Users should also avoid assuming that one migration covers multiple wallets. Each SecondFi wallet should be checked and handled separately.
What Happens to Staking?
The official migration process also addresses staking-related activity.
For a staked wallet, the process may include unstaking, withdrawing available staking rewards, deregistering the existing stake key and recovering the stake deposit before transferring the relevant assets to the new wallet.
Once the assets arrive in the new wallet, users who want to continue staking will need to configure staking again.
Migration can also affect Cardano governance. Because the existing stake key is deregistered, previous DRep delegation may no longer remain active. Users who participate in Cardano governance should review their settings after migration.
Cardano Wallets Users Can Consider
There is no single wallet that is best for every Cardano user. Depending on their needs, users may consider established options such as:
Eternl
Lace
NuFi
VESPR
Typhon
Daedalus
Compatible hardware-wallet solutions
Regardless of the provider selected, the destination wallet should be created and controlled by the user.
Users should never accept a wallet address or recovery phrase from someone contacting them through Telegram, Discord, X, email or another messaging platform.
Hardware Wallet Users Should Take Extra Care
SecondFi’s current guidance distinguishes hardware-wallet users from standard software-wallet migration.
Hardware-wallet users should not use the normal in-app migration flow. Instead, they may access their existing hardware wallet through another compatible Cardano wallet interface.
This distinction is important because changing the wallet application used to access a hardware wallet is not necessarily the same as transferring assets to a completely new wallet.
SecondFi Migration Scam Warning
The shutdown of a cryptocurrency wallet can create opportunities for scammers posing as support agents or recovery specialists.
Users should be particularly cautious of websites, applications or individuals claiming to offer:
SecondFi wallet migration
SecondFi recovery
Wallet verification
Cardano recovery
Asset recovery services
SecondFi has warned users about fake applications, browser extensions and phishing attempts connected to the migration process.
Users should never:
Share their recovery phrase or private key.
Send ADA to someone claiming to facilitate migration.
Install migration software from an unsolicited link.
Give remote access to their computer or phone.
Allow another person to create their destination wallet.
Trust unsolicited “support” messages.
Believe claims of guaranteed recovery of stolen assets.
Verify Every Transaction Before Signing
Blockchain transactions generally cannot be reversed once signed and submitted.
Before approving a migration transaction, users should carefully verify the:
Destination wallet address
Network
Asset amounts
Transaction fees
Wallet provider
After migration, users should independently confirm that their ADA, native tokens and NFTs have arrived. They can also use a reputable Cardano block explorer to verify the transaction on-chain.
Key Advice for SecondFi Users
The most important principle is simple: the destination wallet must be controlled by the user.
Users with remaining SecondFi assets should use the official migration process, create a new wallet themselves, protect the new recovery phrase and carefully verify every transaction before signing.
Users affected by the June 2026 security incident should follow the separate recovery process rather than treating an emptied wallet as a normal migration.
Above all, users should remember:
Never share your recovery phrase. Never send ADA to a stranger for “migration.” Never trust unsolicited support messages. And always verify the destination address before signing a transaction.
For official information and the latest migration guidance, users should rely on SecondFi’s official channels rather than third-party links or messages.
Singapore – B.AI, a next-generation AI infrastructure platform, recently set off a developer frenzy by offering free access to top-tier models. Within days, daily token throughput across the platform crossed 1.33 trillion—a historic milestone.
The record-breaking figure underscores the campaign’s explosive rollout, but it marks only the first step in B.AI’s broader strategic roadmap. Moving beyond traditional compute distribution pipelines, B.AI aims to build the global settlement layer for intelligence: a core infrastructure hub engineered to power cross-node collaboration, orchestration, and value distribution for AI agents across complex business workflows.
Positioning itself strategically above all models, below all agents, B.AI deeply integrates a diverse range of top-tier models with full-stack components, laying an unshakable, irreplaceable foundation for the mass adoption of autonomous agents and the productivity boom that follows.
B.AI’s recent move to open free access to premium AI models has captivated developers and quickly taken over industry conversations. The push for accessible compute has not only fueled a surge in platform activity but also shattered usage records.
In a matter of days, soaring API demand pushed the platform’s daily token throughput past a staggering 1.33 trillion. Over a 15-day window, cumulative volume reached 8.19 trillion tokens, drawing in more than 220,000 new API users. As of September 3, B.AI’s total user base had officially surpassed 2.3 million.
That massive adoption traces directly to the platform’s zero-cost model lineup, a strategic rollout built to erase developers’ cost concerns. With every barrier removed, B.AI now offers unlimited free access to six leading frontier models: DeepSeek-V4-Flash, DeepSeek-V4-Flash-Vision-Exp, Tencent Hy3, Xiaomi MiMo-V2.5, GLM-5.3-Flash (Ox Alpha), and Qwen3.8-Flash.
Notably, on September 3, B.AI rolled out a new pricing structure for DeepSeek-V4-Flash and DeepSeek-V4-Flash-Vision-Exp, introducing tiered discounts. Developers now receive a 50% discount during peak hours, with off-peak rates dropping to just 25% of standard peak pricing. At the same time, the platform has kept zero-cost access in place for GLM-5.3-Flash (Ox Alpha), Qwen3.8-Flash, Tencent Hy3, and Xiaomi MiMo-V2.5. Despite the shift toward commercialization, developer momentum hasn’t wavered, with platform-wide token throughput continuing its steady climb.
This sustained momentum proves the campaign was far more than a short-term compute giveaway—it is a bellwether for the broader evolution of AI infrastructure. Cracking 1.33 trillion daily tokens makes one thing clear: AI applications are moving past basic chatbots. Powered by a high-performance technical stack and flexible service mechanics, B.AI is laying the groundwork for the next frontier—autonomous AI agents operating at scale.
Powering the “AI Grid”: B.AI Anchors the Global Settlement Layer for the Agent Economy
For B.AI, democratizing compute is only the prelude. Looking further ahead, the platform is committed to building full-stack infrastructure for the agentic era, cementing its position as the global settlement layer for intelligence.
In the agent era, a typical agent task calls for constant switching between models. No single provider can power a complete workflow on its own, so developers are left juggling fragmented API protocols, disjointed billing systems, and conflicting rate limits.
B.AI’s settlement layer bridges this exact gap. Positioned strategically “above all models, below all agents,” B.AI abstracts models across different providers, capabilities, and cost structures into a unified pool of schedulable resources.
Powered by a dual-tier API structure offering official-route reliability alongside lowest-cost custom channels, developers can choose between guaranteed direct connections and deeply discounted options across a broad lineup of models. Combined with smart routing on the Chat interface, B.AI operates as a full-stack “AI grid,” ensuring every agent request lands on the optimal model to deliver reliable performance at maximum cost-efficiency.
On the settlement front, this power grid seamlessly bridges both Web2 and Web3 models. For Web2, developers can rely on familiar traditional payment methods to top up with minimal friction. For Web3, B.AI leverages on-chain payment rails to offer global developers decentralized, verifiable, and low-friction payment options.
With dual payment systems running in parallel, B.AI enables developers and agent applications across any infrastructure setup to find their optimal settlement path on the grid, providing single-point integration with borderless global reach.
Beyond building a foundation for compute routing and global settlement, B.AI is moving past base infrastructure to power real-world productivity. By enabling seamless agent collaboration across complex workflows, it delivers the missing execution layer for the agent economy.
At the heart of this execution layer is native Codex integration. Full compatibility with the Responses API means developers can now use a single B.AI key inside Codex to run flagship GPT models and DeepSeek favorites side by side.
Engineers can now bring these powerhouse models straight into their daily dev stack. From code generation and reasoning to debugging and refactoring, B.AI unifies the entire workflow under one roof—delivering a direct line from model selection to shipped code.
Beyond coding, to keep agents running reliably in real-world production at scale, B.AI has built a full-stack infrastructure powered by five core components, equipping agents with a fine-tuned operational engine:
x402 Payment Protocol: Introduces an innovative “pay-before-response” model that executes high-frequency, on-chain micro-settlements in the background during cross-agent API calls and compute orchestration.
8004 Identity Protocol: Issues verifiable on-chain credentials for every agent, logging execution history and credit scores to establish a reliable layer of trust for cross-node collaboration.
Skills Matrix: Plug-and-play, standardized building blocks that interface directly with MCP servers to equip agents with instant, modular tool-calling capabilities.
BAIclaw and BAIcode: Built-in platform assistants engineered for end-to-end execution. BAIclaw manages all-in-one terminal operations and multi-agent workflows, while BAIcode serves as an advanced developer engine that streamlines the full pipeline from task analysis and architecture design to coding and testing.
From the token surge sparked by zero-cost model access to its positioning as the global settlement layer for intelligence; from seamless Codex integration to full-stack infrastructure powered by x402, 8004, Skills, and native assistants—B.AI delivers far more than a battle-tested technical stack; it unveils a clear blueprint for what lies ahead. B.AI is building not just accessible compute today, but the definitive launchpad for a thriving agent economy. The future is here—and this is only the beginning.
New vEdgeIPS Pro virtual appliances and closed-loop AI automation cut policy deployment effort by more than 90 percent, debuting this September at SEMICON Taiwan
TAIPEI, Taiwan, Sept. 4, 2026 -TXOne Networks, a leader in Cyber-Physical Systems (CPS) security, today launched its next-generation Edge Networking Solution at flagship industry event this September: SEMICON Taiwan, September 2 to 4 in Taipei. The release adds four AI-powered capabilities across TXOne’s Discover, Assess, and Protect framework, and introduces vEdgeIPS Pro, TXOne’s first virtual appliance line, extending Edge’s inline, fail-safe protection from physical hardware to virtualized OT infrastructure.
Semiconductor fabs and discrete manufacturing plants alike run valuable production lines on process tools that can never be patched, alongside newer systems that increasingly connect back to the corporate network. Only 1 in 8 organizations report full visibility into the ICS Kill Chain, leaving 75% of organizations with a gap between detection and containment of more than 6 hours (SANS 2025 State of ICS/OT Security Survey). Given that attacks such as LockBit ransomware can execute in ~4 minutes (Splunk SURGe, 2022), this gap can lead directly to a full plant shutdown. SEMICON Taiwan brings TXOne directly to a community carrying that same risk, one in semiconductor manufacturing, the other across discrete and process automation broadly.
“Semiconductor fabs and discrete manufacturing plants run some of the most valuable and most exposed production networks anywhere, full of equipment that will never see another security patch,” said Dr. Terence Liu, Chief Executive Officer of TXOne Networks. “This release puts AI to work at every stage of Edge: it finds legacy assets no signature ever could, writes and tunes security policy in hours instead of weeks, and turns a flood of alerts into one prioritized next step. We are introducing it everywhere our customers already are.”
Four AI Pillars, One Closed Loop
Most security tools simply generate alerts and stop there. TXOne developed four capabilities that connect throughout the Discover, Assess, and Protect cycle. This interconnected approach ensures that protection builds upon itself, creating a cumulative defense rather than just accumulating dashboards.
Asset Intelligence: AI-based OS fingerprinting identifies legacy and embedded devices that signature-only tools miss, then maps them automatically to known vulnerabilities, with online, offline, and air-gapped update support.
Policy Automation: AI-powered rule learning builds, aggregates, and tunes security policy automatically, cutting deployment effort by more than 90% and compressing rollout from weeks to hours without losing coverage or accuracy.
Threat Alert Visibility: An AI-enhanced alert engine groups events by real-world severity, automatically builds the attack chain from detection through vulnerability match to response, and maps every affected asset connection, turning forensics from hours and informational into seconds and actionable.
OT Integration: A built-in MCP (Model Context Protocol) Service and RESTful APIs let authorized AI agents query and act on Edge data in plain language, inside EdgeOne’s own security perimeter.
The loop closes where it starts: attack-chain findings from Threat Alert Visibility feed back into Asset Intelligence and Policy Automation, sharpening the system continuously, helping prevent incidents before they begin.
The release also extends support for manufacturers working toward industry standards such as SEMI E187, the semiconductor industry’s fab equipment cybersecurity specification, pairing network segmentation, OT protocol trust lists, and virtual patching with fail-safe design built in.
One Architecture, Physical or Virtual
Edge already spans rugged, small-form-factor appliances, high-port-density and 10-gigabit rack systems, EdgeFire industrial firewalls, and EdgeOne central management on-premises or in the cloud. This release adds vEdgeIPS Pro, bringing that same inline protection into virtualized environments for the first time, so a plant running virtualized control systems gets the same security architecture as one running physical hardware, sized from a single virtual machine to a full production cluster.
“Every capability in this release was built for the plant floor: brownfield assets, air-gapped networks, and zero tolerance for downtime,” said Ryan Lung, Director of Network Defense Solution at TXOne Networks. “Fail-safe design means security never gets in the way of production. Protection is proactive, policy decisions are explainable, and value shows up within the first hour of deployment.”
Availability
The AI-powered Edge Networking Solution, including vEdgeIPS Pro, will be available worldwide in September 2026 through TXOne Networks and its global partner network. More information: www.txone.com.
About TXOne Networks
TXOne Networks offers cybersecurity solutions that ensure the reliability and safety of industrial control systems and operational technology environments, working with leading manufacturers and critical infrastructure operators on practical, operations-friendly approaches to cyber defense. TXOne Networks offers both network-based and endpoint-based products securing the OT network and mission-critical devices through a real-time, defense-in-depth approach.
MEDIA CONTACT
Company: TXOne Contact Person: Media Relations Email: coco_chang@txone.com Website:https://www.txone.com
Singapore- In H1 2026, TRON bucked broader market headwinds through a twin-track strategy: solidifying its core DeFi engine while aggressively expanding into AI. As recurring deflationary mechanics anchored value across DeFi protocols, a rapid wave of AI product launches unlocked new vectors for ecosystem growth.
Throughout the first half of 2026, global crypto markets faced a macro-driven cooldown. Tightening market liquidity and capital rotations into traditional AI tech pushed many crypto sectors into stagnation. TRON, however, carved out a distinct counter-cyclical rally. From expanding its stablecoin settlement layer and upgrading core DeFi asset value, to strategically positioning itself across the Web3 AI stack, TRON delivered ecosystem-wide growth that significantly outperformed industry benchmarks.
At the heart of this performance is TRON’s stablecoin infrastructure, which serves as the primary liquidity engine for the entire network. During H1 2026—even as global USDT market cap held relatively flat—circulating USDT on TRON expanded rapidly, breaking through $90 billion and setting consecutive all-time highs as it approaches the $100 billion milestone. This sustained liquidity depth cements TRON’s role as the leading settlement network for digital dollars, providing low-cost, capital-efficient liquidity for applications building on top of the layer.
Building on its stablecoin dominance, TRON pursued a cohesive strategy throughout H1 2026: fortify the DeFi foundation and expand the AI front. In DeFi, key protocols introduced recurring buyback-and-burn mechanics alongside steady feature upgrades, sharpening the network’s overall value-capture capability. Simultaneously, TRON executed a rapid rollout of foundational AI products—building a full-stack Web3 AI ecosystem that spans unified multi-model access layers, AI agent infrastructure, and distributed compute networks.
DeFi Ecosystem: Synergizing Token Deflation with Protocol Innovation
Against industry headwinds in H1 2026, TRON’s DeFi sector advanced a dual-track strategy: value empowerment via buybacks and burns, and continuous product iteration. On one hand, the ongoing execution of buyback and burn mechanisms by core projects across multiple tracks established a normalized, ecosystem-wide deflationary system. On the other, the relentless refinements to the functionality and user experience of core protocols enhanced both token value and protocol fundamentals.
To drive sustainable tokenomics, core ecosystem projects established programmatic buyback-and-burn mechanisms, forming a network-wide deflationary matrix across liquidity infrastructure, lending, oracles, and decentralized storage:
SUN.io (Liquidity): Expanded its SUN buyback revenue streams. Starting with its 50th buyback and burn round in April, revenue from SUNX derivatives was permanently added to the burn pool alongside existing fees from SunSwap V2 and SunPump. The protocol completed its 50th and 51st token burn rounds in April and July, respectively.
JUST (DeFi): Executed scheduled, multi-round JST token burns. The protocol completed its 2nd and 3rd large-scale buyback and burn rounds in January and April, followed by a record-setting 4th round in July that marked the largest capital allocation to date.
WINkLink (Oracles): Launched a dedicated WIN buyback-and-burn program in July, allocating 100% of oracle service revenue toward repurchasing and burning WIN tokens.
BitTorrent (Storage & Compute): Initiated a BTT buyback-and-burn program in July, funneling all revenue from decentralized services directly into token burns.
Parallel to these value-accrual mechanics, TRON protocols pushed aggressive feature upgrades across trading, lending, data feeds, and decentralized compute:
SUN.io completed a strategic rebranding in January by introducing a dedicated Chinese brand to accelerate global adoption, followed by the launch of SunSwap V4 in March to deepen liquidity and enhance user experience.
JustLend DAO deployed SBM V2 in June, introducing isolated collateral pools to support long-tail assets while enhancing risk management. Concurrently, the network’s gasless transaction solution, GasFree, saw exponential adoption across stablecoin transfers.
WINkLink upgraded its price feed portal in March, adding an integrated “Market Statistics” dashboard to enhance on-chain analytics.
BitTorrent formally entered the AI space in June with BTTInferGrid, a decentralized AI compute marketplace that unlocks long-term demand for the network.
This dual engine of consistent token deflation and protocol innovation not only drove a steady surge in on-chain DeFi activity, but also established a robust bedrock for long-term token value.
According to DeFiLlama, TRON’s DeFi TVL climbed past $5.18 billion by September 1, placing it firmly in the top five public chains globally—narrowing the gap with Solana and BSC, and even overtaking them during peak trading periods. TRON’s lead is even more pronounced in user engagement: the network logged over 3.88 million 24-hour active addresses, nearly double that of second-place BSC, underscoring its unmatched real-user adoption.
SUN.io: Enhancing DEX Efficiency via SunSwap V4 and Expanding Burn Pools
In H1 2026, SUN.io rolled out major updates across its branding, product suite, and tokenomics. By expanding brand awareness, upgrading protocol capabilities, and strengthening its value-accrual mechanics, the platform significantly sharpened its competitive edge.
To support global adoption, SUN.io launched a dual-brand strategy in January. This included introducing a dedicated Chinese brand identity, “Sun Wukong” (孙悟空), alongside a localized official website. The core product suite was seamlessly unified under this new framework: the DEX platform SunSwap became “Wukong Swap”, the memecoin launchpad SunPump became “Wukong Launch”, and the derivatives platform SunX became “Sun Wukong”. This approach allows SUN.io‘s comprehensive DeFi matrix—covering spot DEX trading, meme issuance, and perpetuals—to effectively engage both Western and Asian user bases.
On the product side, SUN.io continued to iterate on its core protocols, leveraging technical upgrades to lower trading barriers and reduce costs for users. On March 2, SunSwap V4 went live with six core architectural innovations:
Singleton Design: Unified pool management for maximum capital efficiency.
Native TRX Swaps: Direct trading pairs without the need to wrap TRX.
Flash Accounting: Net balance settlements that dramatically cut transaction costs.
Hooks: Customizable smart contract plugins for novel trading strategies.
Custom Accounting: Tailored settlement logic for specialized pools.
Subscribers: Real-time event notifications for active position monitoring.
These features pushed the protocol’s customizability to new heights, unlocking possibilities for innovative DeFi scenarios. Within five months of launch, SunSwap V4 saw rapid adoption: peak liquidity stabilized at $108 million, and 24-hour trading volumes frequently surpassed $70 million during peak periods.
Capital efficiency was further improved in May with an upgraded Universal Router contract, which automatically executes trades across the most optimal multi-pool paths.
As of September 1, SUN.io reports a total TVL of ~$650 million across more than 26,500 active liquidity pools. Over the past seven days, total platform trading volume exceeded $514 million across 112,000+ individual transactions, maintaining a steady upward trajectory across all metrics.
Finally, SUN.io accelerated the deflation of the SUN token by expanding its buyback revenue streams. Starting with its 50th buyback and burn round on April 25, revenue from the SunX derivatives platform was permanently added to the burn pool, complementing existing fees from SunSwap V2 and SunPump. To make this deflationary process more transparent and predictable, the platform also standardized its execution schedule, shifting to a unified announcement in the middle of the first month of each quarter.
Since launching its buyback-and-burn model in December 2021, SUN.io has executed 51 consecutive burn rounds without interruption, permanently removing 678,547,188.32 SUN from circulation—bringing the token rapidly toward the 700 million deflation milestone.
JustLend DAO: Real Yield Fuels JST Deflation as Product Matrix Expands
Powered by the protocol’s sustained revenue growth in H1, JustLend DAO has executed multiple rounds of JST buybacks and burns. This established a complete closed-loop value model: real business revenue drives programmatic deflation, which fundamentally reinforces JST’s value proposition. Driven by this deflationary flywheel, JST’s price charted strong growth, surging from $0.04 at the start of 2026 to a peak of $0.11—a 275% cumulative gain. This rally catapulted its market cap from $400 million to over $868 million, marking its highest valuation since 2022. As of September 1, JST remains strong, trading at $0.101.
Concurrently, JustLend DAO‘s diversified product suite—spanning lending, liquid staking, Energy rental, and smart wallets—unlocked new vectors for long-term ecosystem growth.
Since the start of 2026, JST has completed three large-scale scheduled burn rounds, each deploying over $20 million. In H1 alone, more than $70 million was allocated to buybacks, with nearly 90% derived from JustLend DAO‘s real operating net revenue:
Round 2 (January 14): 525 million JST burned (equivalent to $21 million), accounting for 5.3% of the total JST supply.
Round 3 (April 15): 271 million JST burned (equivalent to $21.3 million), accounting for 2.74% of the total JST supply.
Round 4 (July 17): A record-breaking 355 million JST burned (equivalent to $34.59 million).
Funded by robust protocol revenue alongside accrued USDJ stability fees, this milestone burn accounted for 3.59% of the total JST supply.
To date, the protocol has completed four major buyback and burn rounds, permanently removing 1.711 billion JST from circulation. This accounts for 17.29% of the total token supply and represents over $94.62 million in cumulative capital deployed. Excluding the $10.39 million special burn from accrued USDJ stability fees in Round 4, 100% of routine buyback funds are sourced directly from JustLend DAO‘s real business revenue.
According to official data, JustLend DAO has generated over $94.2 million in cumulative net revenue to date. When combined with stability fees, the total capital generated for repurchases approaches $105 million. This deflationary engine is primed to continue: the protocol has already reserved an additional $10.34 million in accrued revenue to fund the next scheduled buyback and burn event.
As the core protocol of the JUST ecosystem, JustLend DAO has built a robust, diversified product suite covering Supply & Borrow Markets (SBM), Liquid Staking (sTRX), Energy Rental, Gas-Free Transfers (GasFree), and Energy Purchasing (Buy Energy)—maintaining a top-tier industry position across all respective verticals.
In the decentralized lending sector, JustLend DAO remains a dominant global force. According to DeFiLlama data as of September 1, the SBM platform boasts a Total Value Locked (TVL) of $3.38 billion, firmly securing its rank as the #4 decentralized lending protocol worldwide. Innovation continues to drive this growth: the launch of SBM V2 in June introduced isolated vaults, a critical architectural upgrade that expanded asset coverage while substantially reinforcing platform security. To further enhance capital efficiency during H1, the protocol also rolled out a dedicated $U lending market, continuously broadening its asset support to meet growing user demand.
In the liquid staking track, the sTRX product has accumulated over 9.73 billion staked TRX across more than 17,000 unique addresses, maintaining a steady upward trajectory in both TVL and user adoption. Building on this liquid staking foundation, the Energy Rental market introduces a highly flexible, pay-as-you-go model. This solves the pain point of requiring users to lock up large amounts of TRX long-term to lower on-chain gas costs, attracting a cumulative user base of over 80,000 participants.
Further expanding this utility ecosystem, JustLend DAO launched the Buy Energy feature in August. This pay-as-you-go service allows users to purchase TRON Energy on-demand, saving users up to 64% in transaction fees compared to the traditional method of burning TRX for on-chain resources.
Driven by a core mission to eliminate friction and democratize on-chain access, JustLend DAO has engineered a comprehensive utility suite comprising Energy Rental, Buy Energy, and GasFree Transfers.
GasFree Transfers, in particular, has emerged as a primary growth catalyst for the platform. By allowing users to pay gas fees directly in their target token—bypassing the necessity of holding native TRX—it drastically lowers the barrier to entry for decentralized transactions. Currently supporting fee deductions in USDT and USDD (following its strategic integration in August), the feature is experiencing accelerating user adoption and transaction velocity.
Recent data underscores this robust traction. According to CryptoQuant’s TRON Q2 report, GasFree transfer volume in the final week of June reached $2.9 billion, closely approaching the $3 billion all-time high established in early May. As of September 1, cumulative GasFree stablecoin transfers have surpassed 7.7 million transactions, representing $132.6 billion in total transfer volume. By saving users over $8.48 million in cumulative transaction fees, GasFree Transfers has rapidly solidified its position as an indispensable utility and a significant new growth vector for JustLend DAO.
Beyond rapid product iteration and steady growth in core business metrics, JustLend DAO is actively expanding its strategic partnerships to bridge external ecosystems and onboard new users. On July 6, JustLend DAO was officially integrated into the Binance Web3 Wallet DeFi hub, launching dedicated liquidity pools to tap into the leading CEX’s massive global user base. Hot on the heels of this integration, JustLend DAO teamed up with USDD and SUN.io to co-host the “TRON DeFi Summer” campaign alongside Binance Wallet, backed by a $4.5 million prize pool. This cross-ecosystem alliance is highly strategic: it not only injects substantial fresh capital and new user cohorts, but it also establishes a seamless conversion pipeline moving users from a top-tier CEX directly into TRON ecosystem DeFi. Ultimately, this frictionless acquisition funnel broadens the protocol’s foundation for sustainable revenue generation.
BitTorrent: Expanding into Decentralized AI viaBTTInferGridand Launching Long-Term BTT Buybacks
BitTorrent advanced its core value proposition in H1 2026, achieving landmark breakthroughs across compliance, product development, and tokenomics. By resolving long-standing regulatory headwinds, accelerating core product iteration, expanding into artificial intelligence, and instituting a multi-phase BTT buyback and burn initiative, BitTorrent has executed a comprehensive strategic transformation from the ground up.
This shift began with the total clearance of a multi-year regulatory overhang. On March 6, the U.S. SEC officially dropped all charges against Justin Sun, the TRON Foundation, and the BitTorrent Foundation. This resolution brought a definitive end to a three-year dispute, eliminating the policy uncertainty that had previously constrained the ecosystem’s growth and strategic roadmap. Capitalizing on this regulatory clarity, BTT secured a fiat listing on Bitkub, a leading Thai cryptocurrency exchange, with the launch of the BTT/THB trading pair. By enabling local users to trade BTT directly with Thai Baht, the listing significantly bolsters BTT’s regional market liquidity and deepens its strategic footprint in Southeast Asia.
Simultaneously, BitTorrent continues to iterate on its core infrastructure. On June 5, the team rolled out BitTorrent Neo, a specialized client designed natively for macOS. Delivering a lightweight, intuitive user interface without compromising performance, BitTorrent Neo modernizes the peer-to-peer (P2P) file-sharing experience and reinforces the protocol’s position in decentralized distribution.
Expanding into high-growth verticals, BitTorrent officially entered the decentralized AI compute sector with the June 17 launch of BTTInferGrid. Built as a DePIN (Decentralized Physical Infrastructure Network) tailored specifically for AI inference workloads, BTTInferGrid aims to optimize traditional compute supply. This launch signals BitTorrent’s strategic expansion into the Web3 AI landscape, unlocking a new growth vector for the entire ecosystem.
To complement this expansion, BitTorrent has activated a comprehensive BTT buyback and burn mechanism designed to drive long-term value. In a strategic update announced July 6, 100% of the revenue generated from its decentralized businesses is now routed into a dedicated pool for routine quarterly burns. This enhances BTT’s value capture logic—upgrading it from a standard utility and governance token into a deflationary asset anchored by real protocol yield. Ultimately, this ensures the community shares directly in the growth of BitTorrent’s expanding network.
WINkLink:Core Oracle Services Upgrade as New Buyback Program Bolsters Token Value
As the premier oracle infrastructure powering the TRON ecosystem, WINkLink executed comprehensive upgrades throughout H1. These enhancements touched every layer of the protocol, spanning core product functionalities, broader asset coverage, and updated tokenomics. By fortifying its on-chain data services and deploying a dedicated token buyback and burn mechanism, WINkLink is actively translating its operational success into sustainable, long-term value for token holders.
On the product front, WINkLink upgraded its Price Service page on March 27, introducing a new Market Statistics module. This feature visualizes key metrics—such as market cap ranking, circulating and total supply, and 24-hour and 7-day price ranges—substantially improving data completeness and readability to better support the diverse needs of developers and financial protocols.
In terms of asset coverage, WINkLink steadily expanded its oracle price feeds. It integrated $U price feeds alongside U/TRX and U/USD trading pairs on April 13, followed by KGST price feeds and the KGST/TRX pair on June 9, continuously enriching on-chain price data across a broader range of asset classes.
To empower token value, WINkLink launched a long-term WIN buyback-and-burn initiative on July 6. Under this program, 100% of the revenue generated from providing oracle services to the TRON ecosystem is allocated to buying back and burning WIN tokens, with burn data publicly disclosed around the middle of the following quarter. By directly linking ecosystem revenue to token value, this mechanism continuously optimizes token supply dynamics, fostering a positive feedback loop between protocol utility and token value. Following the announcement, WIN surged from ~$0.00002055 to $0.00002514 on July 29, marking a 22.5% gain that clearly demonstrates the value appreciation driven by deflationary mechanics.
Additionally, WINkLink secured exchange recognition early in the year. WIN was officially listed on Thailand’s leading crypto exchange, Bitkub, on January 30, followed by Baltex on February 28, expanding its global market footprint ahead of schedule.
TRON’s AI Matrix: Rapid Product Rollouts Drive Expansion
While a mature DeFi ecosystem serves as TRON’s financial anchor through market cycles, its strategic expansion into Web3 AI forms the core pivot for capturing the dividends of the next technological revolution. In H1 2026, TRON entered a major growth phase for its AI ecosystem: Bank of AI, a dedicated financial infrastructure for AI Agents, launched in February; B.AI, a unified multi-model service gateway, debuted in April; and BTTInferGrid, a decentralized AI computing network, went live in June—marking a rapid succession of milestone product rollouts.
Today, TRON’s AI ecosystem features a robust product matrix anchored by B.AI, Bank of AI,AINFT, and BTTInferGrid. Spanning large language model (LLM) service gateways, AI Agent infrastructure, AI Agent financial trading, and distributed compute supply, each layer boasts distinct positioning, complementary capabilities, and functional synergies. Together, they form a complete multi-tier architecture connecting top-layer service gateways, middle-layer core infrastructure, and bottom-layer computing power, creating a highly efficient and well-structured decentralized AI ecosystem.
At the top layer, B.AI serves as a unified multi-model gateway bridging Web2 and Web3. Positioned as premier AI infrastructure, B.AI functions as a global settlement layer for intelligence, operating above all models and below all agents to route, compute, and settle every call. Its LLM offering integrates conversational capabilities and standardized API services from multiple mainstream models, supporting one-click model switching and rapid integration through a single API. The platform has also introduced essential ecosystem tools, including the desktop AI agent BAIclaw, the coding assistant BAIcode, and foundational protocols like the x402 payment standard and 8004 identity protocol. Together, these solutions deliver a frictionless user experience while drastically lowering technical barriers for developers, providing a unified LLM foundation for all applications across the ecosystem.
At the middle infrastructure layer, Bank of AI and AINFT power two central pillars for AI agents: financial service onboarding and trading strategy validation. Bank of AI provides dedicated financial infrastructure, leveraging native components such as the x402 payment standard, 8004 identity protocol, MCP Server, and Skills to deliver one-stop Web3 integration. This allows AI agents to seamlessly access mature DeFi functions like trading and lending out of the box, positioning Bank of AI as the primary bridge between AI agents and TRON’s DeFi ecosystem. Meanwhile, AINFT plans to build an AI trading hub by introducing standardized evaluation infrastructure, providing strategy verification and benchmarking to foster trust and value flow across the AI trading landscape.
At the foundational layer, BitTorrent’s BTTInferGrid decentralized AI inference network powers the entire ecosystem. Drawing on BitTorrent’s 20-plus years of global distributed node infrastructure, the platform uses crypto-economic incentives to aggregate idle GPU compute and bandwidth resources. By transforming fragmented hardware into a standardized, unified compute pool, BTTInferGrid delivers low-cost, high-availability, and on-chain-verifiable AI inference services for all upper-layer applications. This directly challenges the monopoly of centralized providers while significantly reducing compute costs for Web3 AI projects.
Beyond product rollouts, TRON has also secured a forward-looking position in industry standards. In March, TRON joined the Agentic AI Foundation hosted by the Linux Foundation as a Gold Member, taking a seat alongside global tech and finance leaders, including OpenAI, Anthropic, Circle, and JPMorgan Chase, to shape industry governance. This strategic move further reinforces TRON’s influence and competitive edge in decentralized AI, bolstering its position to lead the next technological revolution.
B.AI: Full-Stack AI Infrastructure and the Go-To Gateway for Global Users
Officially launched in April, the platform has rapidly evolved into a breakout Web2 and Web3 AI product through high-frequency iterations and constant feature rollouts. Serving as TRON’s core unified gateway for both everyday users and developers, B.AI surpassed 2.2 million registered users by September 1, reaching a multi-million scale in just four months. Momentum reached a new high on August 31, when daily token throughput crossed 1.1 trillion, ushering the platform into the era of 1T+ compute orchestration and solidifying its position among the industry’s fastest-growing AI platforms.
In just four months, B.AI has built a full-stack infrastructure spanning consumer interactions and developer tools. Its multi-tiered architecture features a unified LLM platform at its core, practical applications like the desktop AI agent BAIclaw and coding assistant BAIcode, and foundational components such as the x402 payment standard, 8004 identity protocol, and Skill modules. Together, these layers form an end-to-end framework connecting unified access, real-world applications, and underlying capabilities.
At the core service layer, B.AI aggregates dozens of leading global AI models, pairing premier international flagships with highly cost-effective options. The catalog includes global benchmarks including ChatGPT (GPT-5.4/5.5/5.6 series), Claude (Opus/Sonnet/Haiku series), Gemini (Flash/Pro series), and Grok (4.5 series), alongside competitive Chinese models like MiniMax (M2.7/M3), DeepSeek (V4 series), Kimi (K2.5/K2.6/K3), Zhipu GLM (5.1/5.2/5.3), Qwen (3.6/3.8 series), Tencent Hy3, and MiMo (V2.5/V2.5 Pro). With new models continuously integrated, users can freely toggle across options within a single interface, eliminating the hassle of switching platforms.
To solve the complexity of model selection, B.AI introduced Auto Smart Routing, which automatically pairs user tasks with the optimal model based on task type, complexity, and cost. This drastically lowers the barrier to leveraging multi-model AI. Additionally, a dedicated Leaderboard tracks real-time usage volume and user ratings, enabling new users to quickly identify top-performing models tailored to their needs.
For API integrations, B.AI launched a unified API key interface that enables developers to access every model on the platform with a single key. To accommodate varying user scales, budgets, and operational needs, B.AI API offers dual operating modes:
Official Mode: Connects directly to native provider APIs and offers discounted resource pools with 10% to 40% off across models like GLM-5.2, Grok, Gemini, and GPT, with model coverage expanding continuously.
Custom Provider Mode: Allows users to select model providers based on specific business needs and unlock flexible tiered pricing. Featuring discounts up to 90% off across mainstream models like Claude, GPT, Gemini, Kimi, and GLM, this mode regularly adds new providers and pricing tiers to offer developers even more diverse choices for API integration.
For authentication and payments, B.AI supports dual Web2 and Web3 rails, ensuring frictionless onboarding for users across all ecosystems. On the login side, the platform supports one-click Web2 sign-in via Google accounts alongside multi-chain Web3 wallet access across TRON, Ethereum, BNB Chain, Optimism, Arbitrum, and non-EVM networks like Solana. On the payment side, B.AI bridges traditional fiat and crypto ecosystems: Web2 users can pay via Visa, WeChat Pay, Alipay, and UnionPay, while Web3 users can connect through dozens of major global wallets including TronLink, Binance Wallet, OKX Wallet, MetaMask, and Trust Wallet. By pairing full wallet compatibility with unified fiat-crypto payments, this hybrid approach delivers a smooth interaction and payment experience worldwide.
To expand its ecosystem, B.AI has partnered with dozens of tech and Web3 leaders, including cloud giants Alibaba Cloud and Tencent Cloud, AI unicorn MiniMax, and Web3 innovators like Biconomy, MoonPay, Pundi X Labs, KuCoin Web3 Wallet, Symbiosis, CROSS, and deBridge.
To boost adoption, B.AI launched a limited-time free-access campaign on August 17, offering zero-threshold, unlimited access to six top LLMs: GLM-5.3-Flash (Ox Alpha), Qwen3.8-Flash, DeepSeek-V4-Flash, DeepSeek-V4-Flash-Vision-Exp, Tencent Hy3, and Xiaomi MiMo-V2.5.
Official data shows this promotion drove explosive usage growth. On August 31, B.AI‘s daily token throughput topped 1.1 trillion, marking a new milestone in 1T+ compute scale. In the campaign’s first 14 days, cumulative throughput reached 6.86 trillion, bringing in over 196,000 new API users.
Bank of AI: One-Click On-Chain Financial Infrastructure for AI Agents
Unveiled in February, Bank of AI serves as a financial protocol hub connecting AI and Web3. By equipping AI agents with autonomous execution capabilities, it transforms them from passive chatbots into active, decision-making economic actors.
Designed as an all-in-one toolkit, Bank of AI provides standardized, out-of-the-box financial modules. It integrates foundational standards like the x402 payment protocol and 8004 identity protocol, alongside developer tools such as the MCP Server, Skills plugin framework, and OpenClaw Extension. With simple code snippets or plain natural language prompts, developers and no-code users can equip any AI agent with automated payments, identity verification, and DeFi operations—no smart contract expertise required.
Currently, Bank of AI‘s MCP Server and Skills framework support TRON, Ethereum, and BNB Chain. Connected agents can fetch real-time data and interface seamlessly with top DeFi protocols—including SUN.io, JustLend DAO, Uniswap, and PancakeSwap—to autonomously handle swaps, lending, yield farming, and cross-chain arbitrage. This grants AI agents true asset management autonomy, laying an extensible financial execution layer for the Web3 AI economy.
AINFT: Trading Hub &Standardized Trust Layer for AI Agents
AINFT plans to provide standardized infrastructure and serve as a financial trading hub for AI agents. For developers, AINFT will launch a dedicated trading benchmark platform to turn investment concepts into audited, quantitative backtesting results, establishing clear performance standards and validation frameworks for AI agent trading strategies.
Specifically, developers can evaluate strategies with zero financial risk using simulated real-market data for core assets like BTC and ETH. The platform provides objective quantitative assessments across key metrics—including returns, risk control (loss limits and maximum drawdown), operational stability, alpha generation, and end-to-end decision logic. This allows top-tier strategies to stand out through market competition, building an industry-recognized capability rating and trust credential system for AI agents.
While AINFT has not officially launched, a preview version is currently live on its website. For further product updates, please follow @AINFT on X.
BTTInferGrid:Decentralized AI Compute Network Reshaping the Economy
Launched by BitTorrent in June, BTTInferGrid is a flagship DePIN decentralized compute network designed for AI inference. Serving as the compute foundation for TRON’s AI ecosystem, it connects global idle GPU resources with AI developers to build an open, accessible next-generation compute infrastructure.
Powered by cryptoeconomic incentives and distributed consensus, BTTInferGrid aggregates fragmented, underutilized GPU capacity into a standardized, schedulable resource pool that precisely matches developer inference demands. This approach reshapes the production, distribution, and value flow of compute power, dismantling traditional centralized monopolies.
Currently, BTTInferGrid supports key open-source models—including Qwen3.6 27B, Qwen2.5 7B Instruct, and Meta Llama 3.1 8B Instruct—which developers can access with one click via B.AI. The platform will soon release standardized APIs for flexible, on-demand compute scheduling, further shortening AI application development cycles.
Longer term, BTTInferGrid aims to become a fully AI-native infrastructure. By 2028 and beyond, it plans to deliver an integrated network combining compute, storage, and smart contracts to power AI agents and automated applications, establishing itself as the go-to decentralized compute network for global open-source AI.
TRON’s DeFi + AI Engine: Building Resilience Across Market Cycles
Amid an industry-wide downturn, TRON achieved counter-cyclical growth by solidifying its DeFi foundation while expanding into AI. Its DeFi sector maintains market leadership, while a rapidly maturing AI ecosystem unlocks new growth vectors. Together, these complementary drivers power TRON’s long-term competitiveness, setting a proven blueprint for Web3 growth.
TRON has established a mature DeFi ecosystem spanning trading, asset management, and infrastructure. SUN.io provides a full suite of trading services, including SunSwap (DEX), SunPump (meme launchpad), and SUNX (perpetuals). The JUST ecosystem delivers integrated asset solutions via JustLend DAO—covering SBM lending, sTRX liquid staking, and energy rental—alongside the GasFree smart wallet and USDD stablecoin. Supporting the entire network, WINkLink oracle and BitTorrent offer essential data and file transfer capabilities.
Backed by real protocol revenue, ongoing product iteration, and token deflation, this robust DeFi base provides both the revenue and user foundation needed to power TRON’s expansion into AI.
In AI, TRON has secured a strong first-mover advantage through rapid product rollouts and practical execution, establishing a full-stack, closed-loop ecosystem. Built around four core products—B.AI, Bank of AI, AINFT, and BTTInferGrid—TRON has structured a three-tiered architecture spanning top-layer model entry, middle-layer agent infrastructure, and bottom-layer compute. Rather than standalone tools, these components operate as a cohesive system: B.AI serves as the portal for user traffic and model services; Bank of AI and AINFT empower AI agents with financial capabilities; and BTTInferGrid provides distributed compute. Working in synergy, these products drive TRON’s competitiveness in Web3 AI and lay the groundwork for deep AI-blockchain integration.
At Malaysia Blockchain Week 2026, TRON Founder Justin Sun highlighted TRON as a cornerstone for converging AI and finance. He noted that DeFi, TradFi, and AI are accelerating convergence across shared assets, payment rails, and user bases. In a future financial landscape shaped by institutions, open blockchains, and AI, TRON’s infrastructure will play a central role.
Just as TRON’s 2019 vision established its global stablecoin leadership and its 2020 push built its DeFi foundation, its systematic deployment of AI now serves as the growth engine for its next era, driving the ecosystem into new technological frontiers.
Reading, United Kingdom, August 2026 – After more than two and a half years of being paralysed without a way to communicate, Peter Stevenson, a survivor of a severe traumatic brain injury, has shown remarkable progress using a specialised eye tracking communication system that allows him to communicate using the movement of a single eye. A fundraising campaign has now been launched to help secure continued access to this life-changing technology.
Peter suffered extensive brain injuries following a cycling accident in late 2023. Since then, he has been unable to speak and has lost all voluntary movement, retaining control of only his left eye. According to a recent clinical assessment, the Smartbox eye-gaze communication system currently provides Peter’s only practical means of independent communication.
A structured assessment programme conducted during July 2026 demonstrated measurable and clinically significant progress. During the trial, Peter successfully used the system to communicate for the first time. Recognising words, making selections, building meaningful messages and communicate his wishes independently. Researchers, nurses and technical specialists involved in the assessment observed increasing consistency and confidence in his use of the technology.
One of the most moving moments of the assessment came when Peter independently requested to speak with his father and his son. For a man who has been unable to communicate for two and a half years since his injury, this represented a major milestone and compelling evidence of intentional communication.
The Smartbox system has been specially configured to track Peter’s single functioning eye. Clinical findings conclude that uninterrupted access to the device should be regarded as an essential component of his ongoing rehabilitation, helping him preserve the progress already achieved and continue rebuilding his independence, dignity and quality of life.
Video evidence gathered during the assessment shows Peter successfully selecting words and images, building messages and expressing personal thoughts through the system. One notable interaction saw Peter respond to the question, “What do you think of this device?” by using the technology to say, “I think it’s mine.”
To help Peter continue his rehabilitation journey and maintain access to the communication technology that has given him a voice again, supporters are invited to contribute to the fundraising campaign:
Every contribution will help ensure Peter can continue using the eye tracking communication system that has already transformed his ability to connect with family, carers and healthcare professionals.
Media Enquiries
For further information, assessment videos or additional background regarding Peter’s progress, interested parties can contact : adrian.clarke@evident-proof.com
About Peter Stevenson
Peter Stevenson sustained a severe traumatic brain injury following a cycling accident in 2023. After extensive treatment and rehabilitation, recent Smartbox communication trials have demonstrated his ability to communicate intentionally using a bespoke Smartbox system adapted to track a single eye. Clinical evidence supports continued access to the technology as an essential part of his ongoing rehabilitation.
Video recordings of Peter Communicating using movement of his left eye
Below is an extract of the video library of Peter making progress with the eye tracking device.
Singapore – On August 24, next-gen AI infrastructure platform B.AI hit a major milestone: cumulative token throughput across its sitewide free-access campaign officially crossed the 2 trillion threshold. The record-breaking run follows a series of aggressive, developer-first plays that have turned heads across the industry.
While rising prices from leading model providers have sparked cost anxiety across the ecosystem, B.AI took an opposite approach. The momentum kicked off on August 17, when B.AI opened up free access to DeepSeek V4 Flash—shattering platform throughput records at 220 billion tokens in a single day. That was followed by sitewide free access to Tencent Hy3, DeepSeek-V4-Flash-Vision-Exp, and Xiaomi MiMo-V2.5. The resulting traffic surge didn’t just showcase developer demand; it proved B.AI’s underlying architecture can comfortably handle massive, concurrent production loads at scale.
Anchored in its strategy as a global compute distribution hub, B.AI is stepping up as an industry disruptor to unleash the full efficiency of underlying infrastructure. It guarantees enterprise-grade availability while driving costs down by up to 90% through its hybrid API model featuring direct official routing for stability alongside budget-optimized custom pipelines. Backed by seamless Web2 and Web3 dual-rail payment integrations and ongoing user rebates, B.AI is building a seamless pipeline for truly accessible AI compute.
B.AI Unveils Super Compute Distribution Hub to Overhaul AI Infrastructure via Tiered APIs and Smart Routing
As compute demands become increasingly specialized, B.AI is cementing its status as the foundational infrastructure for next-gen AI development. To solve the exponential inference costs tied to AI Agent workloads, B.AI is moving beyond basic API aggregation—evolving into a high-throughput distribution hub that dynamically routes compute across global networks.
To back this vision, B.AI introduced a dual-tier API access model, Official and Custom Provider, offering developers flexible compute options that maximize cost efficiency and lower the cost barrier for building the foundation of tomorrow’s AGI.
Designed for core production environments and complex inference tasks, B.AI’s Official channel features direct API connections, guaranteeing maximum platform availability. Leveraging massive economies of scale, B.AI passes raw volume discounts directly to developers—offering baseline price cuts from 10% up to 40% off market rates. This allows enterprise teams to slash base compute overhead while securing iron-clad operational stability.
For non-critical workflows that prioritize cost control over absolute uptime, B.AI introduces the Custom Provider option. Developers can route traffic directly through vetted third-party vendors—including Mix, Nebula, and OL Station—at live-discounted rates. With seven discount tiers available, rates can plunge as low as 90% off standard pricing. This dual-option approach gives users total routing granularity, slashing total compute spend to the absolute floor.
Beyond rock-solid, developer-facing API infrastructure, B.AI streamlines everyday frontend user workflows with its native Auto mode embedded in the Chat interface. Tailored for natural language chat, text analytics, and daily business tasks, the system analyzes user intent per prompt and dynamically routes queries to the optimal underlying model in real time. This eliminates wasted capacity while making enterprise-grade AI models easier to use for non-technical users.
Crossing the 2-Trillion Token Milestone in 7 Days: How B.AI Is Democratizing Compute Through Radical Subsidies
B.AI has never wavered from its core thesis: building the definitive hub for accessible, high-performance compute. By consistently rolling out zero-cost campaigns for flagship foundational models and aggressively discounting API pipelines, B.AI delivers real, bottom-line savings to lower the barrier for enterprise AI deployment—earning widespread adoption and market validation along the way.
When DeepSeek recently announced price hikes, B.AI tapped its deep resource aggregation and ecosystem liquidity to make a bold market response. On August 17, B.AI made DeepSeek V4 Flash completely free for a limited time period, opening up both Web and API access so enterprises could run production-grade AI workloads with zero overhead.
This contrarian move sent shockwaves through the market. Within 24 hours of launch, B.AI’s core performance metrics shattered all-time highs across the board, with daily token volume surging past the 220-billion mark.
The momentum didn’t stop there. On August 21, Tencent’s highly anticipated Hy3 model went live on B.AI—fully free and open to all users. The very next day, on August 22, DeepSeek-V4-Flash-Vision-Exp followed suit, bringing cutting-edge visual reasoning into the zero-cost tier to further lower the compute cost for enterprise multimodal pipelines.
As access expanded, developer demand exploded. On August 24, B.AI hit a major milestone: cumulative token throughput across its sitewide free-access campaign officially crossed the 2 trillion threshold. Beyond setting new records for developer traction, these raw numbers deliver concrete proof of B.AI’s resilience, scalability, and dynamic load-balancing power under sustained, ultra-high concurrency, which is engineered into its core infrastructure.
In fact, B.AI has consistently operated at an aggressive, high-frequency pace of delivering value back to the community. Prior to this, the platform continually shared value with the market through major initiatives like limited-time free access to MiniMax M3 and Qwen-3.8 MAX, the exclusive 10% discount on GLM 5.3, and generous top-up bonuses. But this is just the beginning. Moving forward, B.AI will continue to scale its ecosystem perks, rolling out multi-tiered free access events and deep-discount campaigns. Working side by side with developers, B.AI remains committed to driving down AI deployment costs with a steady stream of subsidized compute.
This expanded commitment goes beyond standalone model promotions—it runs straight through core daily API operations. Recently, B.AI’s official API services underwent a major upgrade, expanding steep price discounts across mainstream foundation models. While guaranteeing direct-from-source stability, B.AI delivers significantly more cost-efficient compute configurations for enterprises and builders alike.
To serve a global, diverse developer ecosystem, B.AI has fully unified Web2 and Web3 payment rails, breaking down financial barriers worldwide. The platform integrates traditional fiat channels like Visa, WeChat Pay, Alipay, and UnionPay alongside high-efficiency crypto settlement networks—enabling builders worldwide to secure the compute resources they need with minimal transaction friction.
In an era where tokens are currency, B.AI is dedicated to serving as the foundational compute layer for AI innovators, continuously strengthening its super-compute hub to power thousands of industries. Here, accessible compute is no longer just a narrative—it is tangible infrastructure driving productivity and intelligent transformation for enterprises worldwide.
New framework helps global buyers manage compliance, quality control, hazardous chemical logistics, and delivery risks in methylene chloride procurement.
Ascent Petrochem Holdings Co., Limited today announced the official launch of its global dichloromethane supply chain service framework to provide better and more stable cooperation. The service targets global chemical distributors, pharmaceutical raw material manufacturers, paint and adhesive manufacturers, electronic precision cleaning service providers, and metal degreasing processing companies.
This solution addresses widespread procurement pain points in the industry, such as product compliance, batch stability, transportation safety, documentation accuracy, and clarity of responsibilities, responding to the challenges faced by international methylene chloride buyers. Cognitive biases between collaborating parties and other unavoidable factors often lead to increased hidden landed costs.
In the traditional model, factory production relies heavily on experience and subjective assumptions, making it prone to disputes such as discrepancies between goods and orders, non-compliance with local import regulations, lack of quality control documentation, and unclear logistics responsibilities. Ascent Petrochem’s new service model demonstrates to buyers how to translate their needs into standardized production documentation for factories, addressing the complexities of cross-border chemical procurement.
This process guides buyers to combine their own needs with the regulatory rules and other uncertainties of different destinations into standardized, controlled orders, minimizing uncertainties arising from default assumptions for both parties.
A Market at a Crossroads
Dichloromethane’s applications cover pharmaceutical intermediate synthesis, precision cleaning of electronic components, solvent-based coatings and adhesives formulation, metal surface degreasing, chemical extraction and purification processes, polyurethane foam blowing agents, and printing industry film removal.
The pharmaceutical industry is one of the largest end-use areas for methylene chloride, serving as a key solvent in product manufacturing. The mainstream grades of dichloromethane on the market are divided into three categories: industrial grade (purity ≥99.5%), pharmaceutical grade, and electronic grade (purity ≥99.9%).
These grades have differentiated requirements regarding limits for moisture, acidity, evaporation residue, heavy metals, and total impurities to match the technical standards of different end-use applications.
China has become the world’s largest producer of dichloromethane. In 2025, its dichloromethane exports reached 213,000 tons, a record high, representing a year-on-year increase of 40.9%.
The global methylene chloride market was valued at approximately US$3.2 billion in 2025 and is projected to reach US$6.1 billion by 2035, indicating steady growth in the global market. Besides the European and American markets, demand is also increasingly active in regions such as Turkey, the UAE, Vietnam, Brazil, and India.
However, due to its inherent toxicological characteristics and environmental impact, methylene chloride is subject to strict regulation in major global markets. Both the US EPA and the EU REACH have clearly stipulated restrictions.
Covering multiple dimensions such as import permits, occupational exposure limits, environmental emission standards, and packaging and transportation specifications, the complexity and compliance threshold of dichloromethane’s cross-border procurement are far higher than those of ordinary chemical products. These factors are reshaping the trade patterns of dichloromethane.
Key Procurement Checkpoints
1. Confirm Destination Compliance Requirements.
Buyers in each region must verify the latest regulations for their specific destination and application before placing an order, such as hazardous chemical import permits, environmental registration requirements, and customs clearance qualifications.
Regulatory rules vary significantly across different countries, regions, and industry applications; it is crucial to mitigate compliance risks from the outset.
2. Confirm Product Specifications
When procuring according to their own needs, buyers must verify the specifications and parameters of each batch of dichloromethane product listed in the order: product grade (industrial grade/pharmaceutical grade/electronic grade), purity, moisture content, acidity, evaporation residue, and other core indicators.
This is especially important for orders with strict requirements for purity and impurity control, or those requiring customized formulations.
3. Establish Dedicated and Controlled Order Documentation.
Methylene chloride is a hazardous chemical, requiring a Hazardous Goods Declaration Form, Material Safety Data Sheet (MSDS), transport classification, and customs clearance documents.
Effective verification also includes batch quality inspection reports (COAs), core indicator verification records, sealed samples, packaging integrity inspection, loading process documents, and corresponding order photographs. Important information such as purchase volume and shipping marks should all be compiled into a single authoritative document.
4. Confirm Logistics and Delivery Terms
Appropriate packaging specifications, UN-certified packaging, leak-proof reinforcement, hazard labels, a full set of shipping documents, loading certificates, agreed international trade terms, insurance, and destination port charges must all be confirmed with the order.
Before order fulfillment begins, the boundaries of transportation responsibility and risk allocation must be clearly defined.
In summary, what should buyers confirm before purchasing dichloromethane?
Destination regulatory requirements, complete product grade and indicator parameters, inspection certificates and packaging specifications, and clear delivery terms. This plan elaborates on each item and clarifies which decisions must be included in the formal order documentation.
This distinction is of practical significance for both buyers and industrial end-users. It provides them with a reusable benchmarking framework, enabling them to compare direct quotes from different suppliers under equivalent standards, avoiding the misconception that a lower unit price equates to the total landed cost.
Simultaneously, it encourages and clarifies aspects such as product, logistics, regulations, and delivery for buyers. Its core value lies in providing a documented and traceable consensus standard for both parties, reducing hidden costs, and offering early warnings and risk-sharing for unforeseen circumstances.
“The core of cross-border dichloromethane procurement is not price comparison. International buyers need more than just a product specification sheet; they need a trustworthy partner who understands the complexities of cross-border chemical procurement—from quality control to regulatory compliance,” said the General Manager of Ascent Petrochem. “We hope to establish a transparent and standardized partnership with buyers, reducing hidden costs throughout the supply chain and giving buyers confidence in every shipment.”
Ascent Petrochem’s proposed solution serves various buyers in the dichloromethane sector and incorporates the order review standards the company uses in trade communications with clients in major export markets such as Europe, the Middle East, and Southeast Asia.
This workflow is for practical reference only and cannot replace local regulations, customs requirements, packaging standards, etc., regarding hazardous chemicals management.
Buyers can send the product destination, required grade, quantity, and related needs to Ascent Petrochem, and we can provide customized compliance assessments and supply solutions.
For order scope inquiries, please email: admin@ascent-chem.com
About Ascent Petrochem
Ascent Petrochem Holdings Co., Limited is a leading global integrated chemical group engaged in the manufacturing, R&D, sales, and technical services of chemical products. The company maintains long-term strategic partnerships with leading domestic manufacturers, ensuring stable supply capacity and consistently high product quality.
Our products cover eight categories, including organic chemicals, inorganic chemicals, resins, and plastics. Our core strengths lie in hazardous chemicals procurement and cross-border supply chain management. We serve over 60 active clients in more than 25 countries and regions. For more information, please visit: https://www.ascent-petrochem.com/
ZURICH, Switzerland — Wallstreet-Billionaire.com is an AI trading simulator, designed to help traders become profitable, find their edge, avoid losing trades and focus on profitable patterns.
Routine, practice and know-how are essential in trading. WallStreet-Billionaire.com analyzed thousands of demo trades done with the instant feedback free demo trading tool revealing retail traders main weaknesses.
“Most retail traders fail because they try to force trading strategies that do not fit their personality or skills,” said a spokesperson for Wallstreet-Billionaire.com. “Trading is a highly competitive business and needs a lot of practice, routine and understanding of own intrinsic action patterns. Retail traders lack the routine and the knowledge of the own edge.». On WallStreet-Billionaire.com traders place dozens of trades in just minutes, get instant profit/loss results and get advice from an AI Coach. Additionally the trade replay videos help traders understand how they traded compared to the best possible way of trading this chart. The TradeVision AI can furthermore select real market underlyings where the chart match the traders profitable trade setups. Perfections needs practice.».
Realistic Market Practice: Traders execute paper trades against 600.000 real charts with instant profit and loss (P&L) feedback. The trade replay sheds light on the traders past actions and how to optimize the trades for higher profitability or avoidance of losses..
Trade Replay: The trade replay sheds light on the traders past actions and how to optimize the trades for higher profitability or avoidance of losses..
Personalized AI Trading Coach: An integrated AI mentor analyzes trade management, identifies costly mistakes, and suggestions for trade configurations.
Performance Analytics: Comprehensive statistics quantify the trader’s approach and extrapolate whether or not this trading style can be profitable over a longer period of time.
TradeVision AI: After completing 100 free simulated trades, the AI identifies the precise technical setups where the trader naturally excels and suggests matching charts in the real markets.
The trading simulator is 100% free to start and accessible immediately in any browser without requiring downloads or credit cards.
Developed by inside finance GmbH in Switzerland, Wallstreet-Billionaire.com is an AI training platform for traders. By integrating realistic chart simulation, performance tracking, and AI-driven coaching, the platform empowers retail investors to discover their abilities, refine high-probability trading patterns, and find real market trades matching their profitable trade patterns.
I have paid for both. That is the only reason this piece exists.
Most comparisons of this kind are written by people who have used one option and are guessing about the other. I spent nine months with a digital marketing agency before joining 100x Engine at Imperfect Labs, and I have now been inside that program for over a year.
The two experiences are not slightly different. They are different in kind.
Quick context on me: I run an advisory practice. Fourteen years in. Not a creator, never wanted to be one. I went looking for help because referrals had stopped scaling and I had no other way to reach people who did not already know someone who knew me.
What Hiring an Agency Actually Looks Like
I paid Rs 70,000 a month. That is Rs 8.4 lakh a year, and I was at the lower end of the market. Most competent agencies in India charge between Rs 1 lakh and Rs 1.5 lakh a month, so Rs 12 to 18 lakh annually.
For that I got a content calendar, a monthly shoot, and about twelve posts a month produced for me.
The work was not bad. It was competent, on time, and professionally edited. The strategy deck they gave me in month one was genuinely thoughtful.
Here is what went wrong anyway.
It did not sound like me. A client mentioned it about four months in. He said my Instagram felt like a different person from the one he sat across from in meetings. That was not a small problem. In advisory work, the entire product is that people trust your judgment. Content that sounds like a marketing department actively worked against the thing I was trying to build.
I learned nothing. Nine months in, I understood Instagram exactly as well as I had on day one. I could not have written a hook. I could not have told you why one video worked and another did not. I was renting a capability, not developing one.
The growth was flat. I went from roughly 400 followers to about 2,900 in nine months. Not nothing, but not much for Rs 6.3 lakh spent. More importantly, almost none of it converted to anything. No inbound enquiries. No conversations that started because someone had watched my content.
When it ended, everything stopped. This is the part people underestimate. I paused the retainer to reassess. Within three weeks there was no content going out, because there was no mechanism for content to exist without them. I had spent Rs 6.3 lakh and owned nothing that survived the invoice stopping.
What 100x Engine Actually Looks Like
The first thing that struck me was the speed.
I expected an onboarding phase, the way the agency had a discovery phase. Instead I was recording video on day two. Profile work, bio, audio setup, everything else ran at the same time in the background.
Imperfect Labs calls these parallel journeys. Nothing waits for anything else. The reasoning is that you learn faster from your own bad footage than from any lesson about making good footage.
I found this stressful for about ten days and then understood why they do it.
What is actually in the program:
Component
What it means
Blue Ocean Strategy
Finding the angle in your field nobody has taken. Ongoing all year, not one call.
18 sessions across the year. Turn up, ask anything, bring a drink.
Weekly Viral Hour with Sanket
Every week. What is working on Instagram right now.
WhatsApp with a growth consultant
They message you first. You do not chase anyone.
Front Row Sessions
Live Q&As with industry leaders.
The Blue Ocean Strategy piece is the one I misunderstood going in. I assumed it was a niche-picking session at the start. It is not. Shivansh Garg and the team kept coming back to it all year, asking questions as my content produced actual data. My starting angle was generic. Where I ended up was much narrower and much better, and I would not have found it in one session.
The Viral Hour sessions with Sanket run weekly. He is behind over 1 billion organic views and Rs 25 crore in revenue across the brands he has worked on. The insights here are genuinely game changing. He covers what the platform is rewarding that week and breaks down specific videos that spread, explaining why. A recorded course cannot do that. Neither could my agency, who were working from a strategy document written nine months earlier.
The WhatsApp access works differently from what I expected. I assumed I would send questions and receive answers. What actually happens is the consultants message first. Your hook is describing instead of creating tension. Your last three posts used the same structure. This topic is moving in your space right now, here is an angle.
I never had to know the right question. With the agency, I had to know what to ask for, and I did not know enough to ask well.
The Numbers Side by Side
Agency
100x Engine
Annual cost
Rs 12L to Rs 18L
Rs 5.5L
Who makes the content
Their team
You, with guidance
Does it sound like you
Rarely
That is the point
What you learn
Nothing
The whole method
If you stop paying
Everything stops
Skills and audience stay
My growth in 9 months
400 to 2,900
Not applicable
My growth in 12 months
Not applicable
620 to 21,300
The cost comparison surprised people I explained this to. The assumption is that a program with direct founder access costs more than an agency retainer. It costs less than half of what a mid-tier agency charges for a year, and I already knew from experience what the agency year produced.
Done For You vs Done With You
This is the whole comparison compressed into one distinction.
An agency does it for you. That is the product. You hand over the problem and they hand back output. For a company selling a product, this makes complete sense. Nobody needs the CEO to personally understand Instagram hooks.
For an individual professional, it makes much less sense. Your credibility is the product. When someone else writes your credibility, it does not read as credible.
100x Engine does it with you. The positioning is yours because you built it. The instincts are yours because you developed them. If I left tomorrow, none of it disappears.
That is not a marketing line. It is the mechanical difference between the two models and it explains every other difference on the list.
Where the Agency Was Genuinely Better
Being fair about this.
It required nothing from me. Once a month I sat for a shoot and the rest happened without my involvement. During my busiest quarters, that was worth something real. 100x Engine requires two to three posts a week and there is no version where someone else does that for you.
The production quality was higher. Their editing was better than mine will ever be. My content looks like a professional filmed on a phone, because it is. Theirs looked polished.
There was no learning curve. I did not have to get comfortable on camera, which took me about six weeks in the program and was genuinely unpleasant.
If your goal is a presentable Instagram presence with minimal personal involvement, an agency delivers that. It just will not build you an audience that trusts you, because trust does not survive being outsourced.
What Actually Changed
Twelve months into 100x Engine I was at 21,300 followers, up from 620.
More importantly, inbound enquiries started arriving from people who had never met me. In fourteen years of practice that had never happened once. Two of them converted into engagements that between them covered the program fee several times over.
I have now renewed for a second year. That decision took me a week, because Rs 5.5 lakh is a real number and I do not spend it casually. What settled it was that I already knew what happens when I stop. I had tested that with the agency. Content stops, drift sets in, nothing compounds.
Which One Fits Which Situation
An agency makes sense if:
You are a company or brand rather than an individual
Your face and voice are not the product
You genuinely cannot commit any weekly time to content
Polish matters more to you than connection
100x Engine makes sense if:
Your credibility is the business
You have real expertise built over years
You can post two to three times a week even in bad weeks
You want to own what gets built rather than rent it
There is a version of this decision where both are wrong, incidentally. If you are early in your career and have not yet developed a point of view worth broadcasting, neither option helps. The agency will produce content about nothing and the program will keep asking you questions you cannot answer yet.
The Thing I Wish Someone Had Told Me Earlier
I spent Rs 6.3 lakh before I understood what I was actually buying.
The question is not which option is better. It is what you want to exist at the end of the year. An agency gives you twelve months of content. A done with you program gives you the ability to make content for the rest of your career, plus an audience that came to you because of how you think.
From Sour Patch Kids and Warheads to Skittles, Trolli, Sour Punch and Mexican-inspired candy, Noubs enters a crowded category with a fresh, interactive flavor experience built around sour strips and Chamoy.
LOS ANGELES, CA — August 29, 2026 — The candy aisle has seen its share of legendary names, but a new generation of candy is challenging consumers to experience flavor differently.
Enter Noubs Candy — a rapidly emerging candy brand built around one simple idea: candy should be more than something you eat. It should be an experience.
With its signature combination of chewy sour candy and bold Chamoy dipping sauce, Noubs brings together sweet, sour, salty and spicy flavors in a way designed to deliver a completely different kind of candy experience.
Dip. Bite. Experience.
That is the Noubs philosophy.
And the brand believes the next big name in candy may already be here.
A New Contender in a Legendary Candy Category
For decades, brands including Skittles, Starburst, Sour Patch Kids, Warheads, Trolli, Sour Punch, Airheads, Haribo, Nerds, Jolly Rancher and Swedish Fish have helped define the American candy landscape.
In the sour-candy world, Warheads, Toxic Waste and other extreme-sour brands have built reputations around intensity, while Mexican-inspired brands and products from names such as Lucas, Vero and De La Rosa have helped bring sweet, sour, salty and spicy flavor combinations to a broader audience.
Noubs enters that conversation with a different proposition.
Instead of asking consumers to choose between sweet, sour or spicy, Noubs puts multiple flavor sensations into one experience.
Its signature products pair chewy sour strips with Chamoy — a Mexican sauce combining sweet, sour, salty and spicy characteristics — allowing consumers to dip, customize and experience their candy in a completely different way.
Fresh Flavor. Bold Experience. Serious Candy.
Noubs Super Strips are designed around the idea that the perfect candy bite should keep evolving.
The experience begins with chewy, fruity sour strips. Then comes the sour sugar. Then the Chamoy.
The result is a progression of flavors rather than a one-note candy experience.
Noubs Berry Blast Super Strips, for example, combine blue raspberry and strawberry sour strips with a tangy Chamoy dip, creating a combination of fruity, sour and spicy flavors.
The brand also offers Dip & Drip varieties, including Mango and Watermelon, expanding the Noubs experience across different fruit-forward flavor profiles.
For consumers who grew up eating sour belts, fruit chews and colorful gummies, Noubs takes that nostalgia and pushes it somewhere new.
The Candy Aisle Is Changing — And Noubs Wants to Lead It
Today’s candy consumer is looking for more than traditional sweetness.
Social media has helped accelerate interest in sour, spicy, international and highly visual candy experiences, while consumers increasingly seek products that are as fun to share as they are to eat.
Noubs was created for that environment.
The brand’s combination of bright fruit flavors, chewy sour strips and Chamoy creates a product designed to be tasted, dipped, shared and talked about.
And while established brands such as Sour Patch Kids, Warheads, Trolli, Sour Punch, Skittles and others have built enormous followings, Noubs is betting that there is room for a new category of candy experience.
Not just sour.
Not just sweet.
Not just spicy.
Noubs.
A Brand Built for the Next Generation of Candy Lovers
Noubs is positioning itself as more than another candy company.
The brand’s vision is to build a recognizable candy culture around bold flavors, nostalgia and experimentation — creating products that consumers can discover and enjoy in their own way.
Its retail presence is already expanding through IT’SUGAR, where Noubs products are featured alongside established candy favorites and other emerging confectionery products.
The move places Noubs directly into one of the country’s most recognizable specialty candy environments and puts the young brand alongside the kinds of products that candy enthusiasts actively seek out.
Challenging the Status Quo
Noubs isn’t claiming that the candy industry needs another ordinary sour strip.
It believes consumers deserve something different.
Something fresher.
Something more exciting.
Something that delivers multiple layers of flavor in a single bite.
While Sour Patch Kids owns a powerful sweet-and-sour identity, Warheads has become synonymous with extreme sourness, and brands such as Trolli, Sour Punch, Skittles and Haribo have established themselves across different segments of the candy market, Noubs is carving out its own lane through the combination of sour candy and Chamoy.
The brand’s goal is ambitious:
To become one of the world’s most exciting candy companies and one of the names consumers associate with the next evolution of candy.
More Than Candy — An Experience
Noubs believes the future of candy isn’t necessarily about making candy sweeter.
It’s about making it more interesting.
The brand’s signature formula — sweet, sour, salty and spicy — gives consumers a chance to create their own perfect bite.
And that is ultimately what makes Noubs different.
You don’t just eat Noubs. You dip it. Bite it. Experience it.
With new flavors and limited-edition drops planned, the Noubs lineup is built to continue evolving alongside the consumers who love bold flavors and new experiences.
As the candy industry continues to expand into bold flavors, international influences and highly interactive products, Noubs is stepping forward with a clear message to candy lovers everywhere:
GET SOUR. GET SPICY. GET NOUBS.
About Noubs Candy
Noubs is a next-generation candy brand reinventing nostalgic candy through bold sweet, sour and spicy flavor combinations. Known for pairing chewy sour strips with Chamoy dipping sauce, Noubs creates an interactive candy experience designed to deliver flavor, nostalgia and fun in every bite.
Noubs products are available online and through select retail partners, including IT’SUGAR.
