# Сопутствующие статьи по теме Robotics

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Robotics", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

90% of Rare Earth Refining is in China's Hands, American Humanoid Robot Mass Production Faces a Hardware Bottleneck

The article highlights a critical vulnerability in the U.S. ambition to mass-produce humanoid robots like Optimus: China’s dominance over the hardware supply chain, particularly rare earth elements (REEs). China controls 70% of global rare earth mining, 85–90% of refining capacity, and over 90% of rare earth magnet production—key components in actuators, motors, and sensors essential for robotic joints and drivetrains. Major U.S. robotics firms rely heavily on Chinese and Japanese suppliers for critical components such as harmonic reducers, servo systems, and precision gears, while retaining only the AI "brain" domestically. In a scenario with 1 billion humanoid robots by 2050, Morgan Stanley estimates massive demand for neodymium, dysprosium, and terbium—consuming significant portions of global reserves. The author urges the U.S. to invest in rebuilding its rare earth supply chain—from mining and refining to magnet production—and lists key firms involved in magnet metals, structural metallurgy, and semiconductors. Without secure, cost-competitive access to these materials, U.S. robotics growth faces a structural risk, with China holding a potential "shut-off switch" over hardware production.

marsbit03/16 02:17

90% of Rare Earth Refining is in China's Hands, American Humanoid Robot Mass Production Faces a Hardware Bottleneck

marsbit03/16 02:17

After the Lobster Comes Ashore, the Next Game in AI Hardware Lego

The article "Lobster Comes Ashore: The Next Game in AI Hardware Lego" discusses the growing influence of OpenClaw, an open-source AI framework, as it extends from software into the physical hardware world, reshaping the development and functionality of smart devices. OpenClaw enables hardware products to be combined like Lego blocks, creating diverse intelligent devices. Examples include Rokid AI glasses, which can now connect to any backend system like OpenClaw via an SSE interface, and Apple Watch, which acts as an AI control terminal for tasks like managing notifications and sending commands. WHOOP wearable devices use OpenClaw to provide personalized health advice, while companies like Songling Robotics integrate it into robotic arms for natural language control. Individual developers are also experimenting, such as combining OpenClaw with Meta’s Ray-Ban smart glasses for visual AI agents, or enhancing robot dogs like Vbot for autonomous tasks. These innovations are expanding possibilities but also raise concerns around security and token costs. The trend is particularly strong in China, where OpenClaw has sparked enthusiasm among companies, developers, and policymakers. In Shenzhen, public installations and events around OpenClaw have drawn large crowds, and electronics market Huaqiangbei has started selling modified "Lobster boxes." This movement is also driving the growth of Chinese large language models (LLMs) internationally. Data from OpenRouter shows Chinese models now account for half of global token consumption, with MiniMax M2.5 leading in usage. MiniMax’s market value has surged, exceeding Baidu’s, and its revenue is now over 70% from international markets. Similarly, Kimi2.5 has seen a spike in paid users and overseas revenue since being adopted as OpenClaw’s primary free model. The integration of OpenClaw is blurring traditional boundaries between hardware makers, developers, and AI companies, creating a new ecosystem for AI-powered hardware innovation.

比推03/11 06:49

After the Lobster Comes Ashore, the Next Game in AI Hardware Lego

比推03/11 06:49

The Person Building Robots for OpenAI Sees a Terrifying Future

Caitlin Kalinowski, head of hardware and robotics engineering at OpenAI, resigned in March 2026 in protest against the company's contract with the U.S. Department of Defense, which she believed could enable domestic surveillance and autonomous weapon applications. Her departure came shortly after OpenAI signed a deal allowing the Pentagon to use its AI models in classified networks—a contract that rival Anthropic had previously refused on ethical grounds. The announcement triggered a #QuitGPT movement, causing a 295% surge in ChatGPT uninstalls and boosting Anthropic’s Claude to the top of app stores. Under public pressure, CEO Sam Altman revised the contract to include wording against "intentional" use in domestic surveillance, though experts noted legal loopholes remained. Kalinowski’s role involved developing physical AI systems, making her particularly concerned about the potential militarization of embodied AI. Her resignation reflects broader internal dissent at OpenAI, where ethics and safety teams have seen a 37% attrition rate due to disagreements over military use and company values. The situation highlights a growing tension in Silicon Valley between commercial expansion and ethical boundaries. While Anthropic chose principle over partnership—and gained user trust—OpenAI’s acceptance of the contract signals a strategic shift that risks alienating talent and compromising transparency. Kalinowski’s exit poses a fundamental question to the industry: How far are builders willing to go in taking responsibility for what they create?

marsbit03/09 08:45

The Person Building Robots for OpenAI Sees a Terrifying Future

marsbit03/09 08:45

From Stanford Labs to Silicon Valley Streets: How OpenMind Solves the 'Last Mile' Problem of the Machine Economy?

OpenMind, a Silicon Valley robotics infrastructure company, is tackling the "last mile" problem in the machine economy by developing foundational technologies that enable robots to become autonomous economic agents. Its core contributions include OM1, an open-source, AI-native operating system that gives robots advanced perception, memory, and decision-making capabilities, and FABRIC, a decentralized protocol providing on-chain identity, secure collaboration, and automated USDC-based payment settlement for machines. Backed by a team from Stanford, Google DeepMind, and other leading institutions, and having raised $20M from investors like Pantera Capital and Sequoia China, OpenMind is already deploying real-world solutions. Key milestones include a pilot with Circle where robots autonomously navigate to and pay for charging, and the BrainPack—a plug-and-play compute module that upgrades existing robots with advanced AI and crypto-economic functions. By building an open ecosystem akin to "Android for robots," OpenMind aims to solve the industry's fragmentation and lack of economic interoperability, positioning itself as a pioneering infrastructure project at the intersection of robotics, AI, and crypto.

marsbit03/02 09:29

From Stanford Labs to Silicon Valley Streets: How OpenMind Solves the 'Last Mile' Problem of the Machine Economy?

marsbit03/02 09:29

Aave Founder: The Next Step for DeFi is Financing Solar Energy, Robotics, and Space

DeFi has already improved the supply side of capital allocation, with highly liquid on-chain assets that can be programmatically deployed for optimized risk-adjusted returns. Aave, in particular, has demonstrated its capacity to absorb hundreds of billions in liquidity. The next evolution of DeFi should focus on the demand side, rebalancing liquidity toward real-world infrastructure financing. Key future infrastructure sectors requiring capital deployment include solar farms, batteries, data centers & GPUs, robotics, electric transportation, nuclear energy, desalination, carbon capture, critical minerals, digital networks, and space infrastructure. Conservative estimates project a total capital expenditure opportunity of $100–200 trillion by 2050—dwarfing the combined assets under management of the world’s top ten banks. Aave can capture this opportunity through two primary models: yield-bearing stablecoins (YBS), which distribute off-chain yields to on-chain users, and direct collateralization of tokenized real-world assets. Both approaches align with Aave’s lending structure, where loans are backed by assets rather than user credit. Infrastructure assets typically offer attractive returns—ranging from 8% to 18%—with cash flows that mitigate redemption risks. By serving as a foundational liquidity layer, Aave can help finance the transition to a more abundant global economy, accelerating adoption by 10–15 years. This positions Aave not just as a DeFi protocol but as the core financial infrastructure for the future.

marsbit03/02 05:23

Aave Founder: The Next Step for DeFi is Financing Solar Energy, Robotics, and Space

marsbit03/02 05:23

After OpenMind's Token Launch: A Quick Guide to Unreleased Token Projects in the Robotics Sector

Following the recent token launch by OpenMind, a leading project in the crypto robotics sector, which generated significant community discussion and airdrop rewards, the broader robotics narrative is gaining momentum. This was further amplified by the high-profile showcase of embodied intelligence companies during the 2026 Spring Festival Gala. Against this backdrop of increased capital and public attention, the article highlights several promising, yet-to-launch token projects in the robotics space for potential early interaction and airdrop opportunities. Key projects featured include: - **PrismaX**: An open coordination layer connecting remote operators, users, and robot companies. It completed a $11 million funding round and offers an interactive platform where users can earn points through daily logins, quizzes, and even paid access to control robots remotely. - **Konnex**: A decentralized platform enabling robots to act as independent economic agents, collaborating on tasks and settling payments with stablecoins. It recently secured $15 million and has launched a points program for user engagement. - **BitRobot Network**: A decentralized, incentive-driven platform focused on Embodied AI research. It raised $8 million and is currently accepting applications for early access to its network. - **Axis Robotics**: A project aiming to bridge diverse human intelligence with Robotics General Intelligence (RGI), moving from "AI that chats" to "AI that acts." It provides an interactive hub for users to complete tasks by operating robots. The article provides basic interaction guides for each project, suggesting that the robotics sector is a key area to watch for potential airdrops and growth in the first half of the year.

Odaily星球日报03/01 03:47

After OpenMind's Token Launch: A Quick Guide to Unreleased Token Projects in the Robotics Sector

Odaily星球日报03/01 03:47

Paradigm's New Arithmetic: When Crypto Can't Hold $12.7 Billion, AI Becomes the Answer

Paradigm, a major crypto-focused VC managing $12.7 billion in assets, is raising a new $1.5 billion fund to expand into AI, robotics, and frontier tech. This shift follows a contraction in its crypto-only strategy—its third fund was $850 million, down from $2.5 billion in 2021—reflecting a lack of sufficiently large and early-stage crypto opportunities. The 2022 FTX collapse, which cost Paradigm $278 million, prompted internal reevaluation. By 2023, the firm had quietly removing “crypto” and “Web3” from its website, signaling a broader investment focus. Co-founder Matt Huang later clarified that Paradigm remains excited about crypto but sees AI as too significant to ignore. Paradigm’s move isn’t a full pivot to AI; rather, it targets the intersection of AI and crypto. Investments like $50 million in AI infrastructure firm Nous Research and the development of Tempo—a stablecoin payment platform—highlight this strategy. The firm believes AI agents will require programmable money and on-chain execution, creating synergies between both fields. The new fund also serves a narrative purpose: offering LPs a compelling growth story amid crypto’s concentration of capital and AI’s dominance in venture funding (61% of global VC investments in 2025). Paradigm aims to leverage its crypto expertise to capture value at the convergence of AI and decentralized technologies.

marsbit02/28 04:16

Paradigm's New Arithmetic: When Crypto Can't Hold $12.7 Billion, AI Becomes the Answer

marsbit02/28 04:16

I DMed Hundreds of Crypto KOLs, and They Are Quietly Buying Stocks

Based on a private survey of 55 crypto KOLs, a significant capital rotation from crypto to traditional stocks is accelerating. The most popular sectors for allocation are AI, metals/commodities, and energy/power. Memory/semiconductors is a high-conviction sub-theme, driven by an anticipated shortage and AI demand. Humanoid robotics is emerging as a major long-term narrative. Other notable themes gaining real portfolio allocation include space/defense, uranium, and rare earths. The most frequently mentioned individual stocks were INTC, GOOG, RKLB, ASTS, and AMZN. Interactive Brokers (IBKR) is the dominant trading platform of choice among these investors.

marsbit02/28 03:19

I DMed Hundreds of Crypto KOLs, and They Are Quietly Buying Stocks

marsbit02/28 03:19

Fabric: The Dominant Force in the Robotic Economy

The robotics industry is at a critical inflection point, driven by advancements in AI, affordable hardware, and labor shortages in sectors like healthcare and manufacturing. However, robots currently lack economic agency—they cannot own assets, sign contracts, or receive payments like humans, limiting their role to isolated tools controlled by large corporations. Fabric aims to address this by building a decentralized network for payments, identity, and capital allocation, enabling robots to operate as autonomous economic participants. This "robot economy" replaces inefficient, closed-loop cluster models with a permissionless, transparent market where anyone can coordinate, deploy, and benefit from robotic labor. The network uses the $ROBO token for settling payments and incentivizing contributions, with value derived from utility rather than speculation. Blockchain is essential for providing robots with verifiable identity, programmable wallets, and global coordination capabilities. Fabric’s infrastructure allows robots to be deployed at scale, optimized across industries and regions, and integrated into a global workforce. While still early, Fabric is laying the foundation for a future where robots and humans collaborate seamlessly to solve complex challenges.

marsbit02/27 12:22

Fabric: The Dominant Force in the Robotic Economy

marsbit02/27 12:22

From Spring Festival Gala Robots to the Computing Power Energy War: Why Does China Hold the 'Trump Card' in the AI Era?

China's 2026 Spring Festival Gala showcased a breakthrough in embodied AI, featuring robots from companies like Magic Atom, Unitree, and Galaxy General performing complex tasks such as dancing, martial arts, and comedy. This demonstrated China's advanced progress in robotics and AI physical integration. Meanwhile, the U.S. faces an escalating energy crisis, with electricity prices rising 36% by early 2026. Training AI models like GPT-4 consumes power equivalent to 100,000 households annually, and U.S. data centers are projected to use 600,000 GWh by 2028. Aging infrastructure, fragmented grids, and lengthy approval processes for new transmission lines exacerbate the problem. In contrast, China has built a strategic advantage through decades of infrastructure investment. It operates 45 ultra-high-voltage (UHV) power transmission projects, spanning 40,000 kilometers, efficiently delivering clean energy from the west to eastern data centers. Renewable energy accounts for over 60% of China’s power capacity, with 40% of electricity coming from green sources. China also dominates transformer production, holding 60% of global capacity. While the U.S. excels in AI algorithms, China’s robust energy infrastructure—UHV grids, renewable energy, and manufacturing capacity—provides a foundational edge in the AI era, turning energy into a critical competitive asset.

marsbit02/22 02:27

From Spring Festival Gala Robots to the Computing Power Energy War: Why Does China Hold the 'Trump Card' in the AI Era?