# Industrialization İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Industrialization" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

After six years of pie-in-the-sky fundraising, 90% of funds used to replenish cash flow: The illusion and reality of L'CI Technology's silicon carbide "industrialization"｜TMTPost Deep Dive

After six years and raising approximately 3.2 billion yuan through two private placements, Luxshare Technology has officially terminated its two major SiC wafer projects. Only about 7.75% of the raised funds were actually invested in SiC construction and R&D, with the remaining 90% redirected to replenish working capital and repay loans. Despite previous ambitious plans for a 10-billion-yuan SiC industrial park and public assurances of progress, the company's actual SiC capacity remains unclear, with its subsidiary recording significant losses. The article details a pattern of chasing market trends, from electric vehicles and photovoltaics to the current focus on SiC. However, its SiC entry was late; while peers like Tianke Heda and Tianyue Advanced have moved from mass-producing 6-inch to 8-inch and even 12-inch wafers, Luxshare is still struggling with its 6-inch plans and now promises to develop larger sizes with its own funds. Key concerns include unclear disclosures about the status of its chief scientist, Chen Zhizhan, and significantly lower R&D investment compared to competitors. Financially, since its 2011 IPO, the company has raised over 7 billion yuan but generated only 221 million yuan in cumulative net profit. Meanwhile, the controlling shareholder family has cashed out nearly 2 billion yuan since 2018. The article positions Luxshare as a case study of a listed company focused more on financing and capital operation around hot topics than on substantive industrial development.

marsbit07/20 00:37

After six years of pie-in-the-sky fundraising, 90% of funds used to replenish cash flow: The illusion and reality of L'CI Technology's silicon carbide "industrialization"｜TMTPost Deep Dive

marsbit07/20 00:37

Just Now, The World's First Ultra-High-Frame World Model Was Born, Nvidia Content 0, Racing to 50 FPS

Just Now, Global First Ultra-High-Frame World Model Born, 0% NVIDIA, Speeds to 50 FPS A Chinese team has developed MoWorld, the world's first Flash World Model, achieving real-time interactive inference exceeding 50 FPS. Crucially, it is entirely built on domestic NPUs (National Processing Units), bypassing NVIDIA GPUs. Developed by Moxin Technology in collaboration with Zhejiang University's Pan Yunhe academician team, MoWorld represents a complete, closed-loop system from training and distillation to deployment on domestic computing power. The model tackles the critical industry bottleneck of real-time performance, essential for applications like robotics, gaming, and digital worlds. MoWorld achieves this through a full-stack redesign for NPUs, including a proprietary 3D-annotated data pipeline, system-level optimizations for long-sequence training (up to 2000 frames), and inference optimizations like dynamic mixed-precision quantization. On a Huawei Ascend 910C platform, a 14B MoE parameter model achieves over 50 FPS, reducing typical inference costs by 70% compared to equivalent GPU solutions. This breakthrough lowers the deployment barrier, potentially accelerating the industrialization of world models. Key application areas include gaming/entertainment (offering 6-DoF camera control for immersive exploration), embodied AI/autonomous driving (providing a high-fidelity digital training ground), film pre-visualization, and 3D reconstruction/digital twins due to its strong geometric consistency. MoWorld demonstrates that a full-stack domestic compute ecosystem can support cutting-edge, real-time world models, positioning China at a competitive starting line in defining next-generation spatial intelligence standards. The project underscores a shift in competition from model scale to real-world usability and cost-effective deployment.

marsbit07/08 04:15

Just Now, The World's First Ultra-High-Frame World Model Was Born, Nvidia Content 0, Racing to 50 FPS

marsbit07/08 04:15

Exclusive | ByteDance's AI Drug Discovery Unit Initiates Spinoff and Funding, AI4S Enters Industrialization Phase

Exclusive | ByteDance’s AI Drug Discovery Unit Initiates Spin-off for Financing, Signaling Industrialization Phase for AI4S. ByteDance’s AI drug discovery business line has begun the process of spinning off as an independent entity to raise outside funding, marking a key step toward industrializing its AI for Science (AI4S) efforts. Post-spin-off, ByteDance will remain the controlling shareholder. The new company will inherit the core team, algorithms, technology platform, and existing pipeline assets. It will also continue to receive computing power support from ByteDance's Volcano Engine. The AI drug discovery team, established in 2021 and led by Liu Kai with a core team of about 50 AI and pharmaceutical experts, has been responsible for foundational model research and industrialization. It has consolidated ByteDance's protein structure prediction model team and launched several key technologies. These include the molecular structure prediction models Protenix and Seedfold, the protein design tool PXDesign, and the AI drug discovery platform "Anew Labs." Anew Labs has produced research covering protein-ligand dynamics, molecular generation, and free energy calculation, and has developed early-stage drug pipelines like IL-17 and IL4R inhibitors. Notably, its IL-17 small molecule program, presented in April 2026, demonstrated the first small-molecule blockade of three IL-17 dimers, a significant step in autoimmune disease research. This progress demonstrates ByteDance’s AI capabilities have advanced from model development to validating specific drug targets and molecules. The company believes the opportunity to transition from research to industry is now ripe. The spin-off aims to establish an organizational structure better suited to the business's unique needs—long R&D cycles and complex validation processes involving wet labs and clinical trials—to attract top talent and drive deeper integration of AI with the pharmaceutical industry. The move responds to the pharmaceutical industry's pressing need to improve efficiency amid high R&D costs, long timelines, and high failure rates. The field of AI4S is rapidly advancing, as seen with tools like AlphaFold evolving from protein prediction to modeling complex biological interactions and the emergence of multimodal molecular generation models for drug design. ByteDance has been building its AI4S capabilities for years, exploring areas like computational biology, molecular simulation, and materials science. This spin-off represents its first major attempt to industrialize AI4S. An insider stated the company attaches great importance to this move, hoping that an independent entity with greater decision-making flexibility can pioneer a viable industrial path for AI4S in China.

marsbit06/10 06:26

Exclusive | ByteDance's AI Drug Discovery Unit Initiates Spinoff and Funding, AI4S Enters Industrialization Phase

marsbit06/10 06:26

A World Turned Casino Believes Not in Tears

The article "A World Turned Casino Doesn't Believe in Tears" critiques the pervasive "gamblification" of the modern economy, driven by decades of financialization—where capital shifts from productive activities to speculative financial engineering. It traces this trend back to historical policies like deregulation and quantitative easing, which incentivized companies to prioritize shareholder returns (via stock buybacks) over R&D and capital expenditure, leading to "hollow" firms and economic stagnation. This system exacerbates inequality, as wealth concentrates among capital owners while individuals turn to debt, gambling (e.g., meme stocks, crypto, sports betting), and lottery-like behaviors to seek escape, often exploited by cognitive biases like prospect theory. The author warns that this culture masks real economic weaknesses and calls for a return to "re-industrialization"—investing in hard tech and productive companies that solve tangible problems, build durable value, and foster long-term prosperity over speculative gains. The piece urges capital to support industrialists focused on real-world impact rather than financialized metrics.

marsbit03/12 02:31

A World Turned Casino Believes Not in Tears