BingX Announces Trader of the Year Campaign, Celebrating 400,000 Elite Traders and $580 Billion Volume

TheNewsCryptoОпубліковано о 2025-12-09Востаннє оновлено о 2025-12-09

Анотація

BingX, a leading cryptocurrency exchange, has launched its "Trader of the Year" campaign to celebrate a major milestone: 400,000 elite traders and a cumulative trading volume of $580 billion in its copy trading ecosystem. The campaign will recognize top contributors across eight award categories, honoring both trading performance and community impact. It includes a community giveaway with exclusive rewards. According to Chief Product Officer Vivien Lin, this initiative reflects BingX's commitment to building user-centric, innovative products. The campaign is part of a broader effort to empower the copy trading community, following a recent comprehensive upgrade to its copy trading suite. BingX plans to further expand its functionality and interactive campaigns for its global user base.

BingX, a leading cryptocurrency exchange and Web3 AI company, today announced the launch of its copy trading Trader of the Year campaign, marking a new milestone for copy trading and its vibrant community with a total of 400,000 elite traders and a cumulative $580 billion in trading volume.

The Trader of the Year campaign recognizes outstanding contributors across eight distinct award categories, celebrating both performance and community impact. This program was created to celebrate the contributions of leading traders across the BingX community in 2025 and solidify the company’s commitment to nurturing and growing together with traders within BingX’s copy trading ecosystem.

Additionally, as part of the campaign, BingX will host a community giveaway offering exclusive merchandise and limited-edition rewards. Additional bonuses will be available to selected participants throughout the event period.

Vivien Lin, Chief Product Officer at BingX, commented: “BingX remains focused on building products that truly reflect user needs. Reaching this milestone is a testament to our commitment to building innovative, user-centric experiences for our community. Our goal is to ensure every user can access smarter, more intuitive tools and confidently connect with high-performing traders.”

This campaign is part of a broader initiative from BingX, designed to empower and nurture the copy trading community. In addition to the Trader of the Year campaign, BingX also recently announced a comprehensive upgrade to its copy trading suite, enhancing the copy trading experience with an overhauled interface and new features for users of all levels. Looking ahead, BingX plans to further expand its copy trading functionality, while developing interactive and rewarding campaigns for leading traders across its global community.

About BingX

Founded in 2018, BingX is a leading crypto exchange and Web3 AI company, serving a global community of over 20 million users. With a comprehensive suite of AI-powered products and services, including derivatives, spot trading, and copy trading, BingX caters to the evolving needs of users across all experience levels, from beginners to professionals. Committed to building a trustworthy and intelligent trading platform, BingX empowers users with innovative tools designed to enhance performance and confidence. In 2024, BingX proudly became the official crypto exchange partner of Chelsea Football Club, marking an exciting debut in the world of sports sponsorship.

For media inquiries, please contact: media@bingx.com
For more information, please visit: https://bingx.com/

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

Трендові криптовалюти

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

PancakeSwapCAKE

JUSTJST

Пов'язані матеріали

Upbit Rebalances 864B SHIB In Internal Wallet Move

South Korean cryptocurrency exchange Upbit moved a total of 864 billion SHIB (worth approximately $4 million) between its internal wallet addresses. The activity, involving transfers of 384 billion SHIB outbound and 480 billion SHIB inbound, occurred following a 36% SHIB price rally. On-chain data indicates this was a routine internal wallet rebalancing operation by the exchange, not a sell-off or liquidation event. The article cautions that while large on-chain transfers are highly visible, they require proper context and wallet labeling to interpret correctly. In this case, the movement between known Upbit addresses does not inherently signal a change in market supply or selling pressure for SHIB.

bitcoinist50 хв тому

Upbit Rebalances 864B SHIB In Internal Wallet Move

bitcoinist50 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit50 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit50 хв тому

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

The International Conference on Learning Representations (ICLR) 2027 has introduced a new submission rule limiting authors to a maximum of 20 papers per conference. This policy, announced due to a 68% surge in submissions for ICLR 2026 that strained the review system, aims to ensure fair and informative peer review. Google DeepMind researcher Dan Roy responded with a sarcastic petition on X, calling the 20-paper cap "absurd" and claiming it would slow AI progress. His post mockingly argued that AI agents can now produce incremental research and that large language models (LLMs) already handle all reviewing, so output should be maximized. This satire critiques the broader trend of AI's role in academia, referencing a 2025 study that found about 21% of ICLR 2026 reviews were likely fully AI-generated. Roy's underlying point questions whether simply capping submissions addresses the systemic issue of AI potentially flooding conferences with agent-written papers and AI-assisted reviews. The debate highlights tensions between managing submission volume and maintaining research quality as AI tools become pervasive.

marsbit55 хв тому

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

marsbit55 хв тому

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit1 год тому

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbit1 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit2 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit2 год тому

Торгівля

Спот

Популярні статті

Як купити O

Ласкаво просимо до HTX.com! Ми зробили покупку O1 exchange (O) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити O1 exchange (O).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої O1 exchange (O)Після придбання O1 exchange (O) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля O1 exchange (O)Легко торгуйте O1 exchange (O) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

489 переглядів усьогоОпубліковано 2026.06.19Оновлено 2026.06.19

Як купити PROS

Ласкаво просимо до HTX.com! Ми зробили покупку Pharos (PROS) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити Pharos (PROS).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої Pharos (PROS)Після придбання Pharos (PROS) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля Pharos (PROS)Легко торгуйте Pharos (PROS) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

559 переглядів усьогоОпубліковано 2026.06.22Оновлено 2026.06.22

Що таке VERONA

I. Вступ до проекту VERONA - це блокчейн, створений для всіх, скрізь, через абстракцію ланцюга. Використовуючи свій загальний шар абстракції, VERONA вирізняється інтеграцією складних функцій блокчейну, таких як рахунки, підписи та взаємодія, безпосередньо на рівні протоколу. Цей підхід дозволяє взаємодіяти з блокчейн-додатками без необхідності розуміти основні технології.1) Основна інформація Назва: VERONA (VERONA)III. Пов'язані посилання Офіційне посилання на сайт: https://xion.burnt.com/ Біла книга: https://xion.burnt.com/whitepaper.pdf Експлорери: https://explorer.burnt.com/ Соціальні мережі: https://x.com/burnt_xion Примітка: Вступ до проекту взято з матеріалів, опублікованих або наданих офіційною командою проекту, які є лише для довідки і не є інвестиційною порадою. HTX не несе відповідальності за будь-які прямі або непрямі збитки, що виникають внаслідок цього.

405 переглядів усьогоОпубліковано 2026.06.22Оновлено 2026.06.22

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни A (A).