# Сопутствующие статьи по теме AI

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

The Life-and-Death Game of Large Models: From the 'Six Dragons' to the Dual Giants Going Public — The Bubble, Breakthrough, and Endgame of AI Entrepreneurship

The Chinese AI large model startup landscape has undergone a drastic reshuffle in just two years. The initial "AI Six Dragons" quickly narrowed to the "Four Strong," and by early 2026, only Zhipu AI and MiniMax had successfully listed on the Hong Kong Stock Exchange, becoming the first independent large model companies to go public. The industry has shifted from a technology and capital-driven frenzy to a focus on commercial viability and sustainable business models. Zhipu AI and MiniMax, though now publicly traded, face immense pressure with significant losses, high valuations, and challenges in achieving profitability. Zhipu relies heavily on enterprise customization projects, while MiniMax depends on overseas consumer products with limited monetization. In contrast, non-listed companies like DeepSeek and Kimi have thrived by focusing on technical excellence and niche markets. DeepSeek targets global users with cost-efficient operations, and Kimi dominates long-text processing for professional use cases. Meanwhile, former contenders like Baichuan AI and 01.AI have shifted to vertical sectors, struggling against tech giants and thinner margins. The industry is governed by three key realities: only a few players can compete in the general-purpose large model space; public listings bring heightened scrutiny and inevitable valuation corrections; and vertical markets are highly competitive, not a safe retreat. The sector is expected to consolidate within one to two years, with a stable structure emerging—led by major tech firms, a few top independent companies, and specialized vertical players. Listing is not an exit but a rite of passage, separating those that can achieve profitability from those that cannot. The era of speculation is over; survival depends on technology, product strength, and sustainable business models.

marsbit04/03 04:31

The Life-and-Death Game of Large Models: From the 'Six Dragons' to the Dual Giants Going Public — The Bubble, Breakthrough, and Endgame of AI Entrepreneurship

marsbit04/03 04:31

CertiK Releases Cryptocurrency ATM Fraud Report: Losses Reach $330 Million, AI Scams and Cross-Border Money Laundering Emerge as Major Threats

CertiK's "Skynet Cryptocurrency ATM Fraud Report" reveals that losses from such scams reached $330 million in 2025, a 33% year-on-year increase, making it one of the fastest-growing financial crimes in the U.S. The report highlights that these scams have evolved into a highly organized transnational criminal industry, leveraging social engineering and AI technologies. Cryptocurrency ATMs, with 78% located in the U.S., serve as a rapid channel for fraudsters to transfer funds. Victims, often elderly individuals who account for 86% of the losses, are manipulated via phone calls or messages to deposit cash into these machines. The funds are quickly converted into cryptocurrency and transferred to wallets controlled by criminals, making recovery nearly impossible once the transaction is on the blockchain. AI-driven scams, including voice cloning and deepfake videos, have proven 4.5 times more profitable than traditional methods. Criminal networks use automated scripts and employ "smurfing" tactics to bypass transaction limits. The illicit funds are rapidly laundered through mixing services, cross-chain bridges, and decentralized exchanges, often within minutes. The report emphasizes that the only effective intervention point is at the transaction entry level, before funds are on-chain. It calls for enhanced KYC measures, industry-wide intelligence sharing, real-time risk screening, and stronger cross-border law enforcement cooperation to combat this escalating threat.

marsbit04/02 07:36

CertiK Releases Cryptocurrency ATM Fraud Report: Losses Reach $330 Million, AI Scams and Cross-Border Money Laundering Emerge as Major Threats

marsbit04/02 07:36

The $59 Billion Illusion: How the Female Version of Buffett Fell from Grace?

"Cathie Wood, once hailed as the 'next Warren Buffett' and a star among millennial investors, saw her flagship ARKK ETF soar to a peak of $59 billion in assets under management (AUM) by February 2021. Her strategy of betting on disruptive technologies like Tesla, genomics, and AI—while publicly sharing her research and daily trades—initially delivered staggering returns, with ARKK surging 152% in 2020 as she doubled down during the COVID crash. However, rising interest rates exposed the fragility of her high-growth, unprofitable tech holdings. ARKK plummeted nearly 75% from its peak, erasing over $50 billion in AUM by 2026. Critics labeled her approach—essentially applying venture capital (VC) logic to public markets—as fundamentally flawed. Unlike VC, where losses are absorbed by private gains, public markets impose real-time pricing and liquidity pressures, accelerating losses during downturns. Ironically, while Wood correctly predicted the AI revolution, she sold NVIDIA early—missing out on over $1.2 billion in gains—to maintain her "anti-consensus" brand and focus on smaller, speculative names. Her daily transparency and massive scale turned her into a target, as markets anticipated her moves. Despite recent pivots back into gene editing and AI infrastructure, her assets remain a fraction of their peak, underscoring the gap between predicting trends and profiting from them."

marsbit04/02 04:13

The $59 Billion Illusion: How the Female Version of Buffett Fell from Grace?

marsbit04/02 04:13

活动图片