¿Un salvavidas de 40 millones? Por qué el acuerdo de reparto de ingresos entre Circle y Lighter podría reactivar LIT

ambcryptoPublished on 2026-02-13Last updated on 2026-02-13

Abstract

El exchange de derivados perpetuos Lighter (LIT) ha cerrado un acuerdo con Circle para compartir los ingresos por intereses generados por los depósitos de USDC en su plataforma. Analistas proyectan que este acuerdo podría generar entre $30 y $40 millones anuales, actuando como un salvavidas crucial para el ecosistema de LIT. El volumen semanal de Lighter cayó drásticamente de $300 mil millones en noviembre de 2025 a menos de $50 mil millones en febrero de 2026, con ingresos mensuales reducidos a la mitad. Este acuerdo de reparto de ingresos podría subsidiar las tarifas de trading, aumentar el interés abierto y financiar las recompras de tokens. Tras el anuncio, el token LIT se apreció un 10%, extendiendo su recuperación en febrero al 20%. Analistas como Daniel Cheung de Syncracy Capital consideran que LIT está "criminalmente infravalorado", cotizando a sólo el 5% de su competidor Hyperliquid a pesar de generar el 10% de sus tarifas.

Según informes, el DEX de perpetuos Lighter [LIT] ha llegado a un acuerdo de reparto de ingresos con Circle sobre los intereses generados por los depósitos de USDC en la plataforma. Según los analistas, esto podría ser un salvavidas clave y un catalizador alcista para su ecosistema y token nativo.

El acuerdo podría generar entre 30 y 40 millones de dólares anuales en ingresos, según las proyecciones de Ryan Watkins, cofundador de la firma de capital de riesgo cripto Syncracy Capital. Watkins añadió:

"La razón por la que esto es emocionante no es porque conducirá directamente a más recompras (lo hará indirectamente). Es un subsidio para los traders que ahora pagarán menos financiación por sus posiciones. Debería aumentar el interés abierto".

Impacto potencial en Lighter

Desde el final de la segunda fase de farming a finales de 2025, los farmers de airdrop de Lighter han disminuido, descarrilando los volúmenes de perpetuos y el Interés Abierto (OI).

Según DeFiLlama, los volúmenes semanales de perps del DEX cayeron de unos 300.000 millones de dólares en noviembre de 2025 a menos de 50.000 millones en febrero de 2026 – una disminución de 6 veces en los últimos dos meses.

Con un crecimiento lento, los ingresos mensuales también cayeron casi a la mitad, de 24 millones de dólares en noviembre a 13 millones en enero. Hasta ahora, en la primera quincena de febrero, Lighter ha generado solo 1,7 millones, lo que subraya una mayor presión en su flujo de ingresos.

Dado que también realiza recompras como Hyperliquid, el mencionado acuerdo de reparto de ingresos podría ayudar a reforzar las acumulaciones de tokens y las bonificaciones por comisiones de trading.

Para quienes no lo sepan, Circle obtiene ingresos por intereses de las reservas de USDC invertidas en bonos del Tesoro de EE.UU.

Por el USDC en circulación en Coinbase, el exchange se lleva el 100% de los ingresos por intereses de las reservas de USDC. Además, captura el 50% de los ingresos del USDC fuera de su plataforma, y se informa que el acuerdo generó a Coinbase más de 900 millones de dólares solo en 2024.

Otras plataformas han presionado para capturar flujos de ingresos similares u optar por su stablecoin propia y quedarse con todos los ingresos por intereses. Esto es lo que llevó al stablecoin nativo de Hyperliquid, USDH.

Dicho esto, los detalles del acuerdo de reparto entre Lighter y Circle no eran públicos al cierre de esta edición. Sin embargo, algunos observadores del mercado especulan que el acuerdo podría estar detrás de las recientes bonificaciones por comisiones de trading anunciadas por la plataforma.

Por su parte, Daniel Cheung de Syncracy Capital cree que LIT puede estar "criminalmente infravalorado" en los niveles actuales.

"La categoría de perps será más grande de lo que cualquiera espera y $LIT está criminalmente infravalorado al 5% de HYPE con el 10% de sus comisiones."

¿Extenderá LIT su recuperación?

LIT se disparó un 10% después de la actualización, llevando sus ganancias de recuperación en febrero al 20%.

Si la tendencia alcista se extiende, la recuperación podría alcanzar el 33% si se alcanza el nivel de 1,7 dólares. A la baja, el soporte de la línea de tendencia sería un soporte clave a vigilar.

Reflexiones finales

Según informes, Lighter ha llegado a un acuerdo con Circle para compartir los ingresos por intereses generados por el USDC en circulación en la plataforma.
Los analistas creen que el acuerdo podría ayudar a impulsar las bonificaciones por comisiones y atraer traders a la plataforma nuevamente.

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

"From Code to Cognition: The Evolution of Robot Brains" The journey of robotic intelligence has shifted dramatically from manually coded systems to AI-driven brains. For decades, robots relied on layered software stacks—perception, state estimation, planning, control—each handcrafted. While predictable, they lacked adaptability. The 2010s saw deep learning revolutionize perception (e.g., object detection) and control (via reinforcement learning), but learned skills remained narrow. The arrival of Large Language Models (LLMs) marked a turning point. LLMs acted as high-level planners, interpreting natural language instructions and generating sequences of actions for traditional robotic systems to execute. However, true integration came with Visual-Language-Action (VLA) models, which fused vision, language, and motion prediction into a single network. Pioneered by models like RT-2 and open-source projects like OpenVLA, VLAs enable robots to reason and act directly from visual input and commands. The most advanced humanoid robots now employ a "dual-brain" architecture: a slow-thinking, large VLA (System 2) for reasoning and planning, and a fast-reacting, small network (System 1) for high-frequency motion control, sometimes with an even lower-level System 0 for balance. This split balances cognition with the physics of real-time movement. Computation is split between onboard hardware (e.g., NVIDIA Jetson) for safety-critical control loops and cloud/edge servers for non-critical tasks like learning and interfaces. A crucial driver is the open-source ecosystem—models like GR00T and OpenVLA allow startups to build upon pre-trained brains and fine-tune them with their own data, accelerating development. Despite progress, current systems struggle with recovery from errors, sample inefficiency, and long-horizon tasks. This has spurred the rise of **World Models**—neural networks that predict the consequences of actions. By simulating possible futures before acting (like NVIDIA Cosmos or Meta V-JEPA), robots can plan, recover, and generalize better. This represents the next frontier: shifting intelligence from learned reactions to an internal model of physics and cause-and-effect. The field is rapidly evolving. While not yet at its "ChatGPT moment," the convergence of cheaper hardware, scalable simulation, and world models points toward robots that are increasingly capable, adaptive, and useful. The question is shifting from "what can robots do?" to "what *should* they do?"

marsbit17m ago

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

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The AI Bubble is Bursting

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The Next Bitcoin ETF Boom May Be Coming From Japan – Here’s Why

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Trump's 43 Minutes: The Strongman Narrative Unravels, the Media War Escalates

President Donald Trump's first public appearance in over a week, intended to project control amidst health concerns and political challenges, devolved into a 43-minute display of grievance and insecurity. He focused initially on a reflecting pool renovation, compared his rally size to Martin Luther King Jr.'s, and repeatedly attacked political opponents, judges, and U.S. cities. He signed executive orders, including one weakening job protections for senior federal employees, potentially replacing expertise with loyalty. His speech meandered to topics like communism before ending abruptly. The article highlights Trump's agitated, defensive state and the systemic pressures enabling his power. It details his personal attack on a CNN reporter, framing it as part of a broader assault on independent media to undermine public trust in unfavorable facts. This pressure is exemplified by the reported erosion of editorial independence at CBS. The author argues that as mainstream media faces political and commercial pressures, supporting independent journalists becomes crucial for preserving truthful information. The piece concludes by noting a symbolic House vote challenging Trump's Iran actions, suggesting growing Republican dissent, and frames financial support for independent media as a direct form of resistance.

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Trump's 43 Minutes: The Strongman Narrative Unravels, the Media War Escalates

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What is SONIC

Sonic: Pioneering the Future of Gaming in Web3 Introduction to Sonic In the ever-evolving landscape of Web3, the gaming industry stands out as one of the most dynamic and promising sectors. At the forefront of this revolution is Sonic, a project designed to amplify the gaming ecosystem on the Solana blockchain. Leveraging cutting-edge technology, Sonic aims to deliver an unparalleled gaming experience by efficiently processing millions of requests per second, ensuring that players enjoy seamless gameplay while maintaining low transaction costs. This article delves into the intricate details of Sonic, exploring its creators, funding sources, operational mechanics, and the timeline of significant events that have shaped its journey. What is Sonic? Sonic is an innovative layer-2 network that operates atop the Solana blockchain, specifically tailored to enhance the existing Solana gaming ecosystem. 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Support for Developers: By offering native composable gaming primitives and extensible data types - dining within the Entity-Component-System (ECS) framework - game creators can craft intricate business logic with ease. Overall, Sonic's unique approach not only caters to players but also provides an accessible and low-cost environment for developers to innovate and thrive. Creator of Sonic The information regarding the creator of Sonic is somewhat ambiguous. However, it is known that Sonic's SVM is owned by the company Mirror World. The absence of detailed information about the individuals behind Sonic reflects a common trend in several Web3 projects, where collective efforts and partnerships often overshadow individual contributions. Investors of Sonic Sonic has garnered considerable attention and support from various investors within the crypto and gaming sectors. Notably, the project raised an impressive $12 million during its Series A funding round. 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EVM Compatibility: Developers can effortlessly migrate decentralised applications from EVM chains to the Solana environment using Sonic’s HyperGrid interpreter, increasing the accessibility and integration of various dApps. Ecosystem Support for Developers: By exposing native composable gaming primitives, Sonic facilitates a sandbox-like environment where developers can experiment and implement business logic, greatly enhancing the overall development experience. Monetisation Infrastructure: Sonic natively supports growth and monetisation efforts, providing frameworks for traffic generation, payments, and settlements, thereby ensuring that gaming projects are not only viable but also sustainable financially. Timeline of Sonic The evolution of Sonic has been marked by several key milestones. 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Key Points Sonic SVM is a revolutionary layer-2 network on Solana explicitly designed to enhance the GameFi landscape, demonstrating great potential for future development. HyperGrid Framework empowers Sonic by introducing horizontal scaling capabilities, ensuring that the network can handle the demands of Web3 gaming. Integration with Social Platforms: The successful launch of SonicX on TikTok displays Sonic’s strategy to leverage social media platforms to engage users, exponentially increasing the exposure and reach of its projects. Investment Confidence: The substantial funding from BITKRAFT Ventures, among others, emphasizes the robust backing Sonic has, paving the way for its ambitious future. In conclusion, Sonic encapsulates the essence of Web3 gaming innovation, striking a balance between cutting-edge technology, developer-centric tools, and community engagement. As the project continues to evolve, it is poised to redefine the gaming landscape, making it a notable entity for gamers and developers alike. As Sonic moves forward, it will undoubtedly attract greater interest and participation, solidifying its place within the broader narrative of blockchain gaming.

1.6k Total ViewsPublished 2024.04.04Updated 2024.12.03

What is $S$

Understanding SPERO: A Comprehensive Overview Introduction to SPERO As the landscape of innovation continues to evolve, the emergence of web3 technologies and cryptocurrency projects plays a pivotal role in shaping the digital future. One project that has garnered attention in this dynamic field is SPERO, denoted as SPERO,$$s$. This article aims to gather and present detailed information about SPERO, to help enthusiasts and investors understand its foundations, objectives, and innovations within the web3 and crypto domains. What is SPERO,$$s$? SPERO,$$s$ is a unique project within the crypto space that seeks to leverage the principles of decentralisation and blockchain technology to create an ecosystem that promotes engagement, utility, and financial inclusion. The project is tailored to facilitate peer-to-peer interactions in new ways, providing users with innovative financial solutions and services. At its core, SPERO,$$s$ aims to empower individuals by providing tools and platforms that enhance user experience in the cryptocurrency space. This includes enabling more flexible transaction methods, fostering community-driven initiatives, and creating pathways for financial opportunities through decentralised applications (dApps). The underlying vision of SPERO,$$s$ revolves around inclusiveness, aiming to bridge gaps within traditional finance while harnessing the benefits of blockchain technology. Who is the Creator of SPERO,$$s$? The identity of the creator of SPERO,$$s$ remains somewhat obscure, as there are limited publicly available resources providing detailed background information on its founder(s). This lack of transparency can stem from the project's commitment to decentralisation—an ethos that many web3 projects share, prioritising collective contributions over individual recognition. By centring discussions around the community and its collective goals, SPERO,$$s$ embodies the essence of empowerment without singling out specific individuals. As such, understanding the ethos and mission of SPERO remains more important than identifying a singular creator. Who are the Investors of SPERO,$$s$? SPERO,$$s$ is supported by a diverse array of investors ranging from venture capitalists to angel investors dedicated to fostering innovation in the crypto sector. The focus of these investors generally aligns with SPERO's mission—prioritising projects that promise societal technological advancement, financial inclusivity, and decentralised governance. These investor foundations are typically interested in projects that not only offer innovative products but also contribute positively to the blockchain community and its ecosystems. The backing from these investors reinforces SPERO,$$s$ as a noteworthy contender in the rapidly evolving domain of crypto projects. How Does SPERO,$$s$ Work? SPERO,$$s$ employs a multi-faceted framework that distinguishes it from conventional cryptocurrency projects. Here are some of the key features that underline its uniqueness and innovation: Decentralised Governance: SPERO,$$s$ integrates decentralised governance models, empowering users to participate actively in decision-making processes regarding the project’s future. This approach fosters a sense of ownership and accountability among community members. Token Utility: SPERO,$$s$ utilises its own cryptocurrency token, designed to serve various functions within the ecosystem. These tokens enable transactions, rewards, and the facilitation of services offered on the platform, enhancing overall engagement and utility. Layered Architecture: The technical architecture of SPERO,$$s$ supports modularity and scalability, allowing for seamless integration of additional features and applications as the project evolves. This adaptability is paramount for sustaining relevance in the ever-changing crypto landscape. Community Engagement: The project emphasises community-driven initiatives, employing mechanisms that incentivise collaboration and feedback. By nurturing a strong community, SPERO,$$s$ can better address user needs and adapt to market trends. Focus on Inclusion: By offering low transaction fees and user-friendly interfaces, SPERO,$$s$ aims to attract a diverse user base, including individuals who may not previously have engaged in the crypto space. This commitment to inclusion aligns with its overarching mission of empowerment through accessibility. Timeline of SPERO,$$s$ Understanding a project's history provides crucial insights into its development trajectory and milestones. Below is a suggested timeline mapping significant events in the evolution of SPERO,$$s$: Conceptualisation and Ideation Phase: The initial ideas forming the basis of SPERO,$$s$ were conceived, aligning closely with the principles of decentralisation and community focus within the blockchain industry. Launch of Project Whitepaper: Following the conceptual phase, a comprehensive whitepaper detailing the vision, goals, and technological infrastructure of SPERO,$$s$ was released to garner community interest and feedback. Community Building and Early Engagements: Active outreach efforts were made to build a community of early adopters and potential investors, facilitating discussions around the project’s goals and garnering support. Token Generation Event: SPERO,$$s$ conducted a token generation event (TGE) to distribute its native tokens to early supporters and establish initial liquidity within the ecosystem. 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54 Total ViewsPublished 2024.12.17Updated 2024.12.17

What is AGENT S

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This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

717 Total ViewsPublished 2025.01.14Updated 2025.01.14

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Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.