MAGNE.AI 将于 7 月 20 日在吉隆坡举办发布会,推出首款 Web3 AI 智能手机

深潮Published on 2025-07-14Last updated on 2025-07-14

MAGNE.AI 是一款为 Web3 原生用户打造的 AI 智能手机,是一部集「钱包、安全、智能、收益」为一体的新一代终端。

Web3 智能硬件项目 MAGNE.AI宣布将于 2024 年 7 月 20 日在吉隆坡地标性高空酒吧 Sky 51 (EQ酒店)举行品牌与产品全球首发活动。

本次发布会以 “Where silence blooms, the smart future begins.” 为主题,围绕 AI、加密资产管理与 DePIN 去中心化网络展开,将首次公开展示其下一代 Web3 AI 手机与生态规划。

重新定义智能终端:AI、本地隐私、挖矿能力合一

MAGNE.AI 是一款为 Web3 原生用户打造的 AI 智能手机,结合硬件级加密保护、本地 AI 推理能力以及未来的 DePIN 挖矿参与,是一部集「钱包、安全、智能、收益」为一体的新一代终端。

产品亮点包括:

  • HyperSeed 硬件钱包(CC EAL6认证):冷热钱包二合一,支持 BTC、ETH、EVM 智能合约及 NFC 备份;

  • On-Device AI(本地 AI):支持通话实时翻译、语音推理,全程不联网、无上云,保障数据隐私;

  • 原生 Layer 2 区块链(MHash Chain):基于 OP Stack 构建,支持 DeFi / NFT / DAO / dApp 等 Web3 生态;

  • DePIN 挖矿即将上线:设备未来可贡献闲置 AI 算力,参与去中心化网络并获得链上激励,实现边用边挖。

顶级背书:富智康 + Beckers Ventures 联合支持

MAGNE.AI 获得硬件巨头富智康(FIH)在设计制造方面的支持,并获得 Web3 基础设施投资机构 Beckers Ventures战略投资。此次发布会也将首次披露 MAGNE.AI 的开发者支持计划,包括开放 SDK、芯片对接文档、品牌定制服务等。

发布会信息

  • 地点:EQ Kuala Lumpur, Sky 51 Bar

  • 时间:2024年7月20日(周六)18:00–22:00

  • 参与对象:开发者、投资人、Web3 项目方、媒体、硬件厂商等受邀嘉宾

  • 流程亮点:创始人演讲 / 产品发布 / Demo 演示 / 技术解析 / 媒体互动 / 鸡尾酒交流

官方表示,此次发布不仅是一次产品亮相,更是面向 Web3 未来终端形态的一次系统性探索。通过 MAGNE.AI,用户将不再依赖云端,而是拥有真正属于自己的、参与网络协作的智能设备。

📎 相关链接:

如需媒体专访、定向邀约、技术材料提前获取等,请联系 MAGNE.AI 团队。

Trending Cryptos

Related Reads

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

marsbit15m ago

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

marsbit15m ago

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

marsbit59m ago

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

marsbit59m ago

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

marsbit59m ago

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

marsbit59m ago

The Biggest Dark Horse in AI Payments Might Be Coinbase Giving Agents a Wallet

In the AI payments race, while most focus on traditional giants like Visa or AI platforms like OpenAI, Coinbase has quietly emerged as a key player. Data from 2026 shows over 90% of on-chain Agent transactions occur on Coinbase's Base network, with 99% settled in USDC and over 97% using the x402 protocol. Coinbase's pivotal move was launching "Agentic Wallets" in February 2026—a dedicated wallet infrastructure giving AI Agents their own financial identity. Unlike Visa or Stripe, which connect Agents to existing payment rails, Coinbase provides Agents with autonomous wallets to hold assets (like stablecoins), initiate transfers, and execute transactions under predefined rules. This solves core issues for machine-to-machine payments: high credit card fees for micropayments, the need for constant human authorization, and unclear transaction attribution. Coinbase's strength lies in its closed-loop ecosystem: the Base blockchain (low-cost, high-throughput), the x402 payment protocol, Agentic Wallets, and native assets like USDC. This integrated stack, built through years of infrastructure investment, positioned Coinbase to capture early Agent payment demand as the AI economy surged. The key insight is that AI payment adoption may depend less on whose standard wins and more on whose usable infrastructure is ready first. While debates over protocols and payment rails continue, real Agent transactions are already flowing—primarily through Coinbase's ecosystem. It may not be the ultimate winner, but for now, it's the frontrunner by being prepared.

marsbit1h ago

The Biggest Dark Horse in AI Payments Might Be Coinbase Giving Agents a Wallet

marsbit1h ago

Trading

Spot

Hot Articles

Discussions

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 AI (AI) are presented below.

活动图片