# 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.

Chinese Young Man's AI Short Goes Viral Abroad! Hollywood Director Searches Online: Wants to Hire Him

A young Chinese creator, Mx-Shell, an amateur filmmaker from Yunnan with no formal film training, has gone viral internationally with his AI-generated short film "Zombie Scavenger." Created independently in about 10 days using the Chinese AI video tool Seedance 2.0 at a minimal cost, the film features a robot cowboy in a post-apocalyptic world. Its unique atomic-punk style and cinematic quality caught the attention of Hollywood. The film initially gained little traction on Chinese platform Bilibili. However, after PJ Ace, founder of LA-based AI studio Genre.ai, shared it on X (formerly Twitter), praising it as "one of the best short films I've seen in recent years," it quickly garnered millions of views overseas. PJ Ace then publicly sought to hire the unknown director, sparking a cross-platform search. The creator, who doesn't speak English, was unaware of the overseas buzz until Chinese internet users relayed the message. Connection was eventually made via a QQ email address shared in Bilibili comments, and Mx-Shell received a job offer from the Hollywood director. The article highlights this as a case of "talent export." It argues that while China's competitive AI tool market lowers technical barriers, true success still relies on individual creativity, aesthetic judgment, and narrative skill—qualities Mx-Shell demonstrated. His story exemplifies how AI tools can empower previously unseen creators with compelling ideas to reach a global audience, even if initial recognition sometimes comes from abroad before reverberating back home.

marsbit05/14 07:33

Chinese Young Man's AI Short Goes Viral Abroad! Hollywood Director Searches Online: Wants to Hire Him

marsbit05/14 07:33

Claude Helps Man Recover 5 Bitcoins Forgotten for 11 Years, Worth Nearly $400,000

AI Chatbot Claude Helps Man Recover 5 Bitcoins Forgotten for 11 Years, Worth Nearly $400,000 A user named Cprkrn recovered a Bitcoin wallet containing 5 BTC (~$400,000), locked for over 11 years, with the help of Anthropic's AI, Claude. The wallet was originally locked after Cprkrn changed its password while under the influence in university and subsequently forgot it. Claude did not crack the password. Instead, after Cprkrn uploaded all files from his old university computer, Claude sifted through the data and located an earlier, pre-password-change version of the encrypted wallet file (wallet.dat). Cprkrn had also recently found a handwritten seed phrase, but it was incompatible with the main wallet file. Claude's key breakthrough was identifying and fixing a bug in the open-source recovery tool `btcrecover`, which had been concatenating the shared key and user password in the wrong order. After correcting this logic error and running the decryption process, Claude successfully extracted the private key, allowing the funds to be accessed and transferred. While the post garnered over 10 million views and sparked excitement, wallet recovery experts noted Claude's role was more akin to AI-assisted digital forensics—organizing unstructured historical data, diagnosing tool issues, and executing a corrected process—rather than true cryptographic password cracking. The recovery relied on pre-existing user-held data fragments: old computer files, a valid seed phrase, and an older wallet file. The story highlights a potential new, lower-cost path for recovering lost crypto assets, dependent on users retaining old data. It also occurs against a backdrop where an estimated one-third of Bitcoin's circulating supply is dormant in long-lost or inaccessible wallets.

marsbit05/14 06:36

Has the Winter of Crypto IPOs Arrived? Consensys and Ledger Hit Pause

Crypto IPO Winter Arrives? Consensys and Ledger Hit Pause. Following a boom in 2025, the window for crypto company initial public offerings has narrowed sharply in 2026. Major players like MetaMask developer Consensys and hardware wallet firm Ledger have recently postponed their US listing plans, joining exchange Kraken which paused its process earlier this year. This slowdown follows a strong 2025 where companies like Circle and Bullish went public, raising billions as Bitcoin hit all-time highs. However, in 2026, declining Bitcoin prices and trading volumes have cooled investor risk appetite. Newly listed crypto stocks, including BitGo, have seen significant price drops post-IPO, reinforcing investor caution. The cooling crypto IPO market contrasts sharply with the red-hot AI sector, where companies like SpaceX and OpenAI command massive valuations and investor interest based on "productivity revolution" narratives. Crypto firms, seen as more cyclical and volatile, struggle to compete for capital. The IPO delays are prompting a strategic shift. Companies are focusing on strengthening fundamentals, pursuing private funding, and expanding into more stable revenue streams like institutional services. This phase may accelerate industry consolidation, favoring firms with robust compliance and infrastructure. Analysts suggest a potential second wave of crypto IPOs in late 2026 could depend on a Bitcoin price recovery and clearer regulatory developments.

marsbit05/14 06:31

Has the Winter of Crypto IPOs Arrived? Consensys and Ledger Hit Pause

marsbit05/14 06:31

Investing $5 Billion: Cerebras Uses a 'Redemption Bond' to Enter Sam Altman's Hall of Gods

Cerebras Systems, the chipmaker known for its massive wafer-scale WSE-3 processor, is making a dramatic IPO push with a $48 billion valuation. This move follows a crucial deal with OpenAI, where Cerebras will provide 750 megawatts of computing power over three years. In exchange, OpenAI receives warrants for a 10% stake in Cerebras, valued at around $5 billion. This agreement, termed a "computing ransom note," secures Cerebras a place within Sam Altman's influential network while sacrificing a significant portion of its potential profits from the deal. The partnership has supercharged Cerebras's market prospects, granting it a premium valuation and positioning it as a core OpenAI partner. The article frames this as part of "Altman Economics," where OpenAI leverages its model sovereignty to extract concessions from hardware suppliers, reshaping the AI hardware landscape into a hierarchy of sovereigns and vassals.

marsbit05/14 06:05

Investing $5 Billion: Cerebras Uses a 'Redemption Bond' to Enter Sam Altman's Hall of Gods

marsbit05/14 06:05

Exporting to Domestic Sales: The Chinese-style Outbound Journey of an AI Short Film

From Export to Domestic Boom: The Chinese-Style Overseas Journey of an AI Short Film The story begins with PJ Ace, a prominent Hollywood AI filmmaker, launching a public search on X for the creator of a stunning AI-generated short film titled "Zombie Scavenger." The film, featuring a robot cowboy in a post-apocalyptic wasteland, impressed Ace with its quality, which he estimated would have cost $500,000 and six months pre-AI. The trail led back to China. The creator, Mx-Shell, is a self-described amateur from China with a photography and music background. Using ByteDance's AI video tool, Seedance 2.0, he independently produced the short in about ten days for a minimal cost. Ironically, while the film went viral overseas after Ace's endorsement, it initially gained little traction on Chinese platforms like Bilibili. This sparked a "cross-server" search. Ace posted in English on X, while Mx-Shell, who doesn't speak English, posted his QQ email in Chinese comment sections. With netizens' help, they connected. Ace extended an invitation, asking if Mx-Shell was interested in becoming a Hollywood director. The article highlights this as a case of "talent export" or "brilliance going overseas." A creator in China, using domestic AI tools and computing power, captured global attention first. This "export-to-domestic-sales" path succeeded due to China's competitive, low-cost AI video tool market and its vast pool of untapped creative talent. Mx-Shell's success underscores that AI lowers production barriers, but core creativity, aesthetic judgment, and storytelling sense remain uniquely human. His path—individual, low-budget, and quality-driven—contrasts with the industrialized, capital-intensive route of bulk-producing AI short dramas for overseas markets. His story, spontaneous and beyond any corporate marketing plan, serves as powerful validation for tools like Seedance 2.0. The piece concludes that while China has many creators whose traditional barriers (equipment, funds, teams) are being dismantled by AI, the challenge of visibility remains. Until a robust domestic AI creative ecosystem develops, this indirect route of gaining overseas recognition first may continue to be a viable path for Chinese talent.

marsbit05/14 04:24

Exporting to Domestic Sales: The Chinese-style Outbound Journey of an AI Short Film

marsbit05/14 04:24

Introducing a 'Paid Subscription' in the Chinese Market, What's Doubao Thinking?

Chinese AI assistant "Doubao" (from ByteDance) has announced it will launch a paid subscription service alongside its free version, with plans priced at 68, 200, and 500 yuan per month. This move follows its achievement of over 345 million monthly active users and 1.8 billion daily interactions. The paid tiers aim to serve professional users with advanced features for complex tasks like PPT generation and data analysis, while basic functions remain free. The timing is strategic: user growth from free services is plateauing, and the market is now more receptive to paying for high-value AI tools. ByteDance leverages its technical edge in model efficiency and cost control to support this shift. However, significant challenges remain. The Chinese market is characterized by low long-term subscription loyalty, with users often paying only for immediate needs. Doubao's premium features face competition from free alternatives offered by rivals. Furthermore, the core business model of AI subscriptions struggles with scalability—more paying users mean higher compute costs, potentially creating a cycle where revenue fails to cover expenses. Intense price competition from rivals could also force difficult choices between maintaining premium pricing or engaging in a race to the bottom. In summary, while Doubao's massive user base ensures short-term subscription uptake, its long-term success depends on creating uniquely valuable, "sticky" services within ByteDance's ecosystem and solving the fundamental industry dilemmas of low renewal rates and unsustainable cost structures. The outcome will serve as a critical test case for the viability of premium C-end AI subscriptions in China.

marsbit05/14 02:50

Introducing a 'Paid Subscription' in the Chinese Market, What's Doubao Thinking?

marsbit05/14 02:50

EASY Residency Season 3 Graduation List Released: Which Tracks is YZi Lab Focusing On?

YZi Labs has announced the 25 graduating projects from the third season of its flagship incubation program, EASY Residency. This cohort is focused on key Web3 sectors including the reconstruction of on-chain financial market structures, AI agents, tokenized real-world assets (RWA), prediction markets, and privacy/compliance infrastructure. The selected projects span a wide range of applications. In the AI and infrastructure domain, Bank of AI provides identity and payment infrastructure for AI agents on BNB Chain, while Cournot focuses on making AI probabilistic outputs verifiable. Functor addresses self-custody authorization for AI agent workflows. For decentralized finance (DeFi) and trading, several projects aim to enhance liquidity and user experience. LunarBase offers CEX-level on-chain liquidity, Möbius is building a unified margin layer, and Nemesis is a permissionless margin trading protocol. Others like LayerV and Vibe.fun are working on structured products and exotic derivatives. The RWA and asset tokenization category includes Renaiss, which provides liquidity infrastructure for physical collectibles, and Openstocks, a platform for tokenized private market exposure. Prediction markets and novel financial primitives are represented by Polysights (automation infrastructure for prediction markets) and PokerFi (an on-chain poker skill-games options market). Privacy and compliance are addressed by projects like 0xBow.io, which offers compliance-oriented privacy infrastructure, and SilentSwap, a cross-chain privacy swap protocol. The list also features projects targeting specific niches or improving core processes, such as Isaac, a non-interest stablecoin neobank for the Muslim market, Brief Tech, an AI-powered legal evidence indexing tool, and Flap, a programmable token launch infrastructure. Overall, this cohort reflects YZi Labs' investment thesis in foundational infrastructure layers, AI integration, sophisticated DeFi products, and real-world asset tokenization, aiming to advance the usability and capability of the on-chain ecosystem.

marsbit05/14 02:09

EASY Residency Season 3 Graduation List Released: Which Tracks is YZi Lab Focusing On?

marsbit05/14 02:09

EASY Residency Season 3 Graduation List Announced: Which Sectors is YZi Lab Eyeing?

YZi Labs has announced the 25 projects graduating from the third season of its flagship incubation program, EASY Residency. The cohort focuses on key areas such as rebuilding on-chain financial market structures, AI agents, tokenized real-world assets (RWA), prediction markets, and privacy/compliance infrastructure. Notable projects include: Bank of AI, building AI Agent identity and payment infrastructure for BNB Chain; Cournot, creating a verifiable reasoning platform for AI probability outputs; and LunarBase, a liquidity platform aiming for CEX-like execution quality on Base and BNB Chain. Other highlights are: Flap, a programmable token launch infrastructure; GEMINT, a marketplace for collectibles and IP assets; and Renaiss, providing liquidity infrastructure for physical collectibles as RWAs. In DeFi, projects like Möbius (unified margin layer), TermMax (fixed-rate lending), and LayerV (on-chain options) aim to enhance sophistication and capital efficiency. Several projects tackle AI automation, such as Newsliquid (automating news-based trading) and Taco AI (AI agent trading). Privacy and compliance are addressed by 0xBow.io (privacy infrastructure with compliance proofs) and SilentSwap (private cross-chain swaps). The selection reflects YZi Labs' focus on foundational infrastructure across AI, DeFi, tokenization, and next-generation financial primitives, supporting early-stage projects that aim to advance these critical sectors.

Odaily星球日报05/14 02:02

EASY Residency Season 3 Graduation List Announced: Which Sectors is YZi Lab Eyeing?

Odaily星球日报05/14 02:02

Suzerain State: Anthropic

Anthropic, a five-year-old AI lab dubbed a "suzerain," has rapidly gained unprecedented influence by securing massive financial and computational commitments from tech giants, positioning itself at the center of AI infrastructure power dynamics. In May 2026, it announced securing over 300 MW of computing power from SpaceX's Colossus 1 data center, on top of earlier multi-billion dollar deals with Amazon and Google, effectively locking in over 20 GW of future compute. These investments are tied to reciprocal spending commitments on the investors' cloud platforms, resembling infrastructure pre-sales. This "suzerain" status is fueled by explosive growth. By May 2026, Anthropic's annualized revenue reportedly surged to over $44 billion, with Claude surpassing OpenAI in LLM market share. Its high-revenue-per-user efficiency and flagship product Claude Code have secured a strong enterprise foothold. However, its pre-IPO status faces scrutiny. OpenAI challenged Anthropic's accounting, alleging its reported revenue includes gross payments shared with cloud partners, unlike OpenAI's net revenue reporting. The resolution of this debate is critical as both companies approach public listings. Currently, Anthropic holds unique leverage as the only top-tier model available across AWS, Google Cloud, and Microsoft Azure, inverting traditional vendor-customer dynamics. Yet, its suzerainty is considered a time-limited game, dependent on converting its current advantages into sustainable, audited profitability and navigating the complex web of strategic dependencies with its powerful patrons.

marsbit05/14 00:41

marsbit05/14 00:41

Tian Yuandong Announces Startup Venture After Leaving Meta

After leaving Meta, Tian Yuan Dong has announced his new venture. The startup Recursive_SI has officially launched with a list of founders including Tian Yuan Dong. The founding team also comprises Richard Socher (CEO), Tim Rocktäschel, Jeff Clune, Tim Shi, Caiming Xiong, and Alexey Dosovitskiy, among others. These members have experience building AI research labs at companies like Salesforce and Uber, and have held leadership roles at OpenAI, DeepMind, Google Brain, and Meta. Recursive_SI aims to develop artificial intelligence capable of conducting experiments autonomously and safely improving itself through an open-ended, automated scientific discovery process. This is seen as a promising path toward superintelligence. The company has raised $650 million at a valuation of $4.65 billion, led by GV (Google Ventures) and Greycroft, with significant investments from AMD Ventures and NVIDIA. The team has grown to over 25 members, including new additions like Zhuge Mingchen. Zhuge, a Founding Member, holds a Ph.D. in Computer Science from KAUST under Professor Jürgen Schmidhuber. His research focuses on Coding Agents, Recursive Self-Improvement (RSI), and next-generation machine paradigms, with contributions including early RSI systems like GPTSwarm and work on agentic AI frameworks. The founders shared their vision on X: building AI that can automatically discover knowledge and recursively self-improve, fundamentally changing the way science and technology advance. The team is recognized as a leader in core areas of recursive self-improving AI, with past breakthroughs in open-ended algorithms, AI-generated algorithms, automated testing, world models, Vision Transformers, RAG, and AI scientists. There is high anticipation for Recursive_SI's future research.

marsbit05/14 00:26

Tian Yuandong Announces Startup Venture After Leaving Meta