According to Gate market data, the PIEVERSE token is now priced at $0.62320, marking a 24-hour increase of 78.22%. Pieverse is an interactive Web3 entertainment and application ecosystem built around on-chain AI Agents, aiming to merge AI companions, NFT identities, and extensible on-chain behavior systems to create an evolving virtual social and gamified world. Its core products include ERC-8004-based Agent NFTs, a cross-application interaction identity system, and a full AI Agent developer toolkit, enabling users to own trainable, upgradable, and task-executing AI characters on-chain.
The latest surge is likely driven by the official launch of the Purr-Fect Agent recruitment campaign for the first 1,000 NFT holders, which quickly gained traction across social channels. As these NFTs serve as initial identity anchors and functional gateways for AI Agents, demand for the token rose significantly. Pieverse also leverages the x402b execution standard and has highlighted upcoming AI Agent features—such as automated tasks, ecosystem interactions, and cross-app behaviors—enhancing community expectations for product rollout speed and long-term scalability. Combined with strong social momentum and a relatively small circulating market cap, capital rapidly concentrated on the token, amplifying its short-term rally.
Gate data shows that LIGHT is currently trading at $1.6412, up 44.35% over the past 24 hours. Bitlight Labs focuses on Bitcoin scalability and RGB-based application infrastructure, aiming to enable composable and scalable transactions across Bitcoin, the Lightning Network, and the RGB protocol.
Recently, Bitlight Labs announced a major breakthrough in native RGB DEX functionality, launching a unified transaction mechanism that integrates PayJoin with RGB20 assets, enabling seamless cross-chain and cross-layer asset flows between Bitcoin, Lightning, and RGB ecosystems. This development significantly boosted market attention toward the RGB sector and Bitcoin scalability themes, positioning LIGHT as a key beneficiary. Additionally, rising interest in the broader Bitcoin ecosystem—including BRC20, Runes, and Ordinals—has reinforced demand for “Bitcoin L2 + native asset trading,” accelerating capital inflows into LIGHT.
The PARTI token is now priced at $0.14032, reflecting a 33.05% increase in the past 24 hours, according to Gate data. Particle Network is a modular account system and chain-abstraction platform focused on building Web3-native infrastructure, with the goal of offering Web2-level user experience across multiple chains. Its flagship product, Universal Accounts, unifies asset balances, abstracts cross-chain gas, and eliminates chain-switching, enabling users to send, receive, and transact across EVM, Solana, and other ecosystems from a single account.
PARTI’s latest rally is driven by a series of major updates. First, Universal Accounts officially added support for Monad, allowing users to manage and trade assets without switching chains—making Particle a core infrastructure component of Monad’s ecosystem. Meanwhile, Magic Labs announced full API-wallet integration with Universal Accounts, enabling developers to create multi-chain wallets with unified asset and gas logic. The combination of multiple ecosystem partnerships, continuous product rollouts, and the strengthening narrative around chain abstraction has significantly boosted demand and market expectations for PARTI.
Bitcoin mining profitability has dropped to one of the lowest levels on record as hashprice continues its downward trend, currently sitting near $35 per PH/s—well below this year’s highs. This sharp decline has significantly squeezed miners’ margins, especially as many publicly listed mining firms report median hashcosts around $44 per PH/s, pushing the sector broadly into near break-even territory. Rising energy prices, surging network difficulty, and increasing hashrate concentration have all contributed to a decline in BTC produced per unit of compute, forcing miners to rely on scale, lower electricity contracts, and high-efficiency rigs to maintain competitiveness.
Against this backdrop, the mining industry is undergoing clear bifurcation. Well-capitalized miners are accelerating equipment upgrades, securing long-term low-cost power, and deploying advanced air-cooling and liquid-cooling data centers to further reduce marginal costs. Meanwhile, smaller miners face mounting cash-flow stress, leading to shutdowns, machine liquidations, or even bankruptcy—speeding up industry consolidation. Without a recovery in BTC price or a reversal in difficulty growth, the mining sector may enter an even deeper cleansing phase. Miners may increasingly depend on auxiliary income streams such as AI compute leasing, hosting services, and energy-arbitrage operations to stabilize financial performance. Overall, current mining profitability sits at historical lows, marking the onset of a high-cost, high-competition restructuring cycle.
Tether Data has introduced QVAC Fabric LLM, a comprehensive runtime and fine-tuning framework for large language models designed specifically to run AI directly on everyday hardware. Unlike traditional approaches requiring specialized compute, QVAC Fabric LLM enables running, training, and customizing LLMs on consumer GPUs, laptops, and even smartphones—shifting local AI development from a high-cost, high-barrier domain toward mass accessibility. The framework extends the capabilities of the llama.cpp ecosystem by adding fine-tuning support for modern models such as Llama3, Qwen3, and Gemma3, enabling developers to build specialized models without relying on cloud GPUs or vendor-locked hardware ecosystems.
QVAC Fabric LLM provides broad hardware compatibility, supporting AMD, Intel, NVIDIA, Apple Silicon, and mobile chip architectures, emphasizing that meaningful AI development no longer requires dependence on a single hardware supplier. Released under the Apache 2.0 open-source license, the framework includes multi-platform binaries and ready-to-use adapters on Hugging Face, allowing developers to begin fine-tuning with just a few commands. This marks a significant enhancement for the open-source AI community and underscores the growing importance of local compute and lightweight AI systems in future development stacks.
The Flow Foundation recently announced that it is developing a suite of native, built-in protocols, beginning with credit markets as the first major initiative. This marks a strategic shift from Flow’s earlier focus on NFTs and entertainment, signaling an active push into deeper-layer financial infrastructure to fill long-standing gaps in its DeFi ecosystem. The foundation also revealed plans to introduce high-demand modules such as perpetual futures and prediction markets, building a full on-chain financial stack that spans spot, lending, and derivatives—an important step for improving capital efficiency and liquidity retention on a chain that has historically seen lower on-chain activity.
In parallel, Dapper Labs launched Peak Money, a consumer-finance–oriented flywheel application that aggregates yield opportunities across multiple chains to deliver a more accessible user experience. This rollout strengthens the strategic alignment between Flow and Dapper, aiming to attract a broader user base through the combination of cross-chain yield aggregation and financial applications. Overall, Flow appears to be transitioning from a “content-driven chain” toward a “financial-infrastructure chain.” The integration of native protocols with application-layer products positions Flow to improve ecosystem activity and attract more developers and liquidity in the next market cycle.
References
Gate Research is a comprehensive blockchain and cryptocurrency research platform that provides deep content for readers, including technical analysis, market insights, industry research, trend forecasting, and macroeconomic policy analysis.
Disclaimer
Investing in cryptocurrency markets involves high risk. Users are advised to conduct their own research and fully understand the nature of the assets and products before making any investment decisions. Gate is not responsible for any losses or damages arising from such decisions.





