# Industry Shift İlgili Makaleler

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

Bitcoin mining pool Poolin files for Chapter 11 bankruptcy

Bitcoin mining pool Poolin, along with two US affiliates, has filed for Chapter 11 bankruptcy in a New Jersey court. The Singapore-based company estimates liabilities between $100 million and $500 million, with assets ranging from $1 million to $10 million and over 10,000 creditors. The filing includes a proposed $52 million "stalking horse" bid to sell two West Texas mining sites, subject to a court auction. Once the world's largest mining pool in 2019, Poolin now ranks 17th by hashrate with a 0.2% market share. The news highlights growing financial pressures on Bitcoin miners, driven by rising electricity costs. Other firms, like NFN8 Group, have also recently filed for bankruptcy. In response, many miners are diversifying. For instance, Bitfarms is winding down its mining to pivot to AI data centers, while Hut 8 and IREN have announced major AI infrastructure deals worth billions. Analysts suggest such partnerships with miners will be crucial for AI companies needing computing power.

cointelegraph07/27 12:49

Bitcoin mining pool Poolin files for Chapter 11 bankruptcy

cointelegraph07/27 12:49

After Snagging a Nobel Laureate, Anthropic Poaches Berkeley CS Department Head, Recruiting Four Top Talents in Two Weeks

In a stunning move, Anthropic has recruited Jelani Nelson, the chair of UC Berkeley's prestigious EECS Computer Science Division and a leading theoretical computer scientist, on a leave of absence. This follows a two-week hiring spree where Anthropic also secured Nobel laureate John Jumper and two key Gemini researchers from Google. Nelson's expertise in streaming algorithms, dimensionality reduction, and randomized algorithms—fundamentally about processing vast data with minimal resources—directly addresses core challenges in large language models: training efficiency, data compression, and computational complexity. His work on the Johnson-Lindenstrauss lemma underpins modern vector search and embedding compression. Anthropic's recruitment signals a strategic shift in the AI race from merely scaling models to optimizing foundational algorithms for efficiency. This "leave of absence" model, exemplified by figures like Fei-Fei Li, is becoming a mainstream talent pipeline, allowing scholars to retain academic positions while gaining industry access to unprecedented compute and real-world problems. The recent talent war has escalated from poaching between AI firms to raiding top university departments, with Berkeley being a prime target. As OpenAI and Anthropic near potential IPOs, offering pre-IPO equity, they are effectively becoming parallel research institutions. The competition's focus is now descending to the theoretical bedrock of algorithms.

marsbit07/02 09:03

After Snagging a Nobel Laureate, Anthropic Poaches Berkeley CS Department Head, Recruiting Four Top Talents in Two Weeks

marsbit07/02 09:03

27-Year Reign Ends: SK Hynix Market Cap Surpasses Samsung for First Time, an AI-Driven Reshuffle of Korean Chip Power

On June 22, 2026, SK Hynix made history by surpassing Samsung Electronics in market capitalization, ending Samsung's 27-year reign as South Korea's most valuable company. This dramatic reversal is powered by the AI boom and SK Hynix's dominant position in High Bandwidth Memory (HBM), a critical component for AI model training. Once a heavily indebted firm on the brink of bankruptcy, SK Hynix bet early on HBM, which has evolved from a niche product to essential AI infrastructure. It now commands a 59% share of the global HBM market. Its financial performance is staggering, with Q1 2026 net profit soaring nearly fourfold year-over-year to KRW 40.35 trillion, translating to over 2 billion RMB in daily net profit. HBM now drives roughly 40% of its revenue with exceptionally high margins. In contrast, Samsung, with its broad portfolio spanning memory chips, smartphones, and foundry services, has lagged in the HBM race while facing headwinds in other divisions. This shift signifies a deeper restructuring of South Korea's economy, moving from consumer electronics to AI-driven growth. However, the future remains competitive. With major capacity expansions planned industry-wide by 2028 and Samsung aiming to catch up in HBM technology, the new market leader cannot afford complacency. This event marks a pivotal moment in the global semiconductor industry's ongoing power realignment.

marsbit06/22 12:40

27-Year Reign Ends: SK Hynix Market Cap Surpasses Samsung for First Time, an AI-Driven Reshuffle of Korean Chip Power

marsbit06/22 12:40

The Crypto Scene Is Dead, Perpetual Swaps Are Eternal

The crypto industry is undergoing a fundamental shift. The era defined by minting novel, native digital assets (altcoins) is fading. These assets, lacking real-world cash flows or clear value, are losing relevance as attention and capital flow elsewhere. Two powerful external forces are reshaping the space. First, traditional assets like U.S. stocks, bonds, gold, and oil are being tokenized and traded on-chain. Second, the explosive growth of AI, with its tangible products, has overshadowed crypto's once-dominant "future narrative." This marks a critical pivot: crypto is transitioning from being a "factory for new assets" to becoming a "global conduit for existing assets." Its validated utility is not complex financial reinvention but efficient global settlement, transfer, and trading—the original promise of blockchain. Stablecoins like USDT and USDC exemplify this, offering faster dollar movement rather than replacing it. Consequently, native ecosystems like Ethereum face profound challenges. While still crucial infrastructure, ETH struggles to capture value as users interact with Layer 2s or trade traditional assets without needing to hold it. DeFi's grand narrative of rebuilding finance has narrowed to core needs like cheap transfers and deep liquidity. The true breakout innovation is the perpetual contract (Perp). It brilliantly bypasses the complexities of direct asset ownership (custody, compliance, dividends) by creating pure price exposure. Users can speculate on the price movement of *any* asset—NVIDIA, gold, oil—24/7, globally, and with leverage. This "price casino" model, while risky and ethically fraught, delivers unmatched liquidity and accessibility. Projects like Hyperliquid succeeded not by inventing new mechanics but by perfecting the timing and execution of this model. Key drivers included making on-chain Perps feel like centralized exchanges, post-FTX trust migration towards transparency, and rising demand to trade macro assets and equities round-the-clock. In conclusion, the crypto world's most enduring successes are the dollar (via stablecoins), Bitcoin, and trading. Its new frontier is not creating alternative assets but providing a seamless, perpetual trading layer—a new API—for the world's existing financial system. The age of native altcoins is over; the age of perpetual synthetic exposure has begun.

Odaily星球日报06/03 12:21

The Crypto Scene Is Dead, Perpetual Swaps Are Eternal

Odaily星球日报06/03 12:21

Li Kaifu and Wang Xiaochuan Pivot: The First Half of the Large Model Entrepreneurship Era Ends

Li Kaifu and Wang Xiaochuan, leading figures in China's AI industry, are signaling a strategic shift, marking the end of the first phase of the large language model (LLM) startup boom. Li's 01.AI, once seen as a potential "Chinese OpenAI," is now pivoting towards enterprise applications and Agent technology, explicitly modeling itself after the低调但 profitable Palantir with a goal of profitability by 2026. Wang's Baichuan Intelligence is fully转战ing the vertical field of healthcare, launching a medical LLM and AI doctor product. This reflects a broader industry清醒. The initial狂热 of 2023, with its focus on chasing参数, benchmarks, and the "Chinese OpenAI" narrative, has collided with the harsh reality of an AI "heavy industry" war dominated by immense capital expenditure from US tech giants (微软, Google, etc.) and Chinese互联网大厂. The cost of competing in foundational模型 has become prohibitively high for most startups. The paths of the original "Six Tigers" have diverged: some like智谱 and MiniMax achieved high valuations via IPOs, effectively closing the capital window for new通用模型 players. Others, like 01.AI and Baichuan, are retreating from the通用模型 race to focus on商业化 and垂直场景. The deeper change is China's AI sector accepting that its comparative advantage may not lie in foundational model突破 but in applications, engineering, commercialization speed, and integrating AI into real-world industrial and user scenarios—turning AI into a viable industry. Li and Wang, veterans from the互联网 era, represent a generation that entered with理想主义 but is now pragmatically adjusting to reality. Their strategic转身 signifies a交棒 from the狂热造神 phase to a more mature stage focused on sustainable business,合同, and现金流. This isn't a story of failure, but a体面告别 to unrealistic expectations, with the long-term battle ahead passed to a new generation of AI-native builders.

marsbit05/29 01:30

Li Kaifu and Wang Xiaochuan Pivot: The First Half of the Large Model Entrepreneurship Era Ends

marsbit05/29 01:30

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