# Сопутствующие статьи по теме OpenAI

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

US AI Startups Are All Using Chinese Large Models | Rewire Morning News

U.S. AI Startup Reliance on Chinese Models & Key Tech Updates NVIDIA CEO Jensen Huang declared on a podcast that AGI has been achieved, citing open-source platforms like OpenClaw as evidence, while simultaneously defending AI-generated content against criticism. A U.S.-China security review report revealed that about 80% of American AI startups are using Chinese open-source models from companies like Alibaba, Moonshot AI, and MiniMax, which dominate global rankings. This dependency is seen as a self-reinforcing competitive advantage for China. In a specific case, the $29.3 billion coding tool Cursor was found to be using Moonshot's Kimi model without disclosure. Meanwhile, the Pentagon labeled Anthropic a "supply chain risk," drawing political criticism. In energy, the IEA warned the Iran crisis has caused a larger daily oil supply loss than the 1970s shocks, with Russia benefiting as oil prices surge. BlackRock's CEO warned AI will worsen wealth inequality and proposed a government retirement fund and tokenization to broaden market access, aligning with the firm's business interests. Sam Altman stepped down as chairman of Helion Energy to avoid a conflict of interest as OpenAI negotiates a power purchase agreement for fusion energy, a highly ambitious bet given fusion is not yet commercialized. Other notable updates: Trump established a fund to reduce foreign chip reliance; prediction market CEOs invested in a new VC fund despite regulatory challenges; Luma AI released a leading image model; Apple announced AI-focused WWDC 2026; and MicroStrategy continued aggressive Bitcoin purchases.

marsbit03/24 04:41

US AI Startups Are All Using Chinese Large Models | Rewire Morning News

marsbit03/24 04:41

OpenAI Exposes 'Polaris' Project, the '2028 Great Unemployment' May Really Be Coming

OpenAI has disclosed its "North Star" project, aiming to build a fully automated multi-agent AI research system by 2028. This goal, announced by Chief Scientist Jakub Pachocki, includes launching an "autonomous AI research intern" capable of handling specific research tasks by September 2024. The project represents a major strategic shift, consolidating resources and products like ChatGPT and Codex into a unified super-app. The initiative reflects a broader industry trend, with competitors like Anthropic also advancing AI agent integration into workflows, such as through Claude Code on platforms like Discord. However, Pachocki acknowledges significant challenges in safety and controllability, noting that full control over LLMs remains unresolved. Economically, the project could be highly lucrative, with projections suggesting AI agents—including a $20,000/month "research agent"—generating $29 billion annually by 2029. The core implication is profound: if AI can autonomously conduct research, the pace of scientific and AI advancement could accelerate beyond human limitations, potentially reshaping labor markets and research paradigms.

marsbit03/24 02:46

OpenAI Exposes 'Polaris' Project, the '2028 Great Unemployment' May Really Be Coming

marsbit03/24 02:46

Stargate Project Pivots: OpenAI Abandons Construction for Leasing, Wakes from 1.4 Trillion Compute Empire Dream

OpenAI has significantly restructured its ambitious Stargate project, shifting from a plan to build its own data centers to leasing computing power from cloud providers like Microsoft Azure, Oracle, and Amazon AWS. Initially announced in January 2025 with a projected investment of up to $1.4 trillion, the project's budget has been reduced by 57% to around $600 billion through 2030. The change comes after more than a year of delays, with no employees hired and no construction started, largely due to lenders' reluctance to finance the project given OpenAI’s ongoing substantial operating losses. The restructured Stargate is now organized into three teams overseeing commercial partnerships, technical engineering, and physical operations, all managed by former Intel executive Sachin Katti. Despite the shift in strategy, OpenAI still aims to deploy nearly 7 gigawatts of server capacity over three years, with investments totaling over $400 billion. The company is also developing its own AI chips in collaboration with Broadcom to reduce inference costs. Annual spending is projected to reach about $120 billion, matching Microsoft's yearly capital expenditure, even as OpenAI's revenue remains significantly lower and profitability is not expected before 2030.

marsbit03/17 13:08

Stargate Project Pivots: OpenAI Abandons Construction for Leasing, Wakes from 1.4 Trillion Compute Empire Dream

marsbit03/17 13:08

Why Is OpenAI Playing Catch-Up with Claude Code?

In the rapidly evolving field of AI coding assistants, OpenAI, which once led the generative AI wave with ChatGPT, has found itself in the unexpected position of playing catch-up against Anthropic’s Claude Code. Through interviews with OpenAI executives, engineers, and developers, the article reveals that OpenAI’s early lead in AI programming—via its Codex project—was deprioritized as the company shifted resources toward ChatGPT and multimodal models. This strategic shift allowed Anthropic, founded by former OpenAI members, to focus intensely on coding capabilities, leading to the successful launch of Claude Code. OpenAI later reorganized internal teams and accelerated development of its AI programming products, such as the reasoning-based model o1 and later o3. Despite these efforts, Claude Code gained significant traction, especially after integration with tools like Cursor, which OpenAI attempted to acquire unsuccessfully. A proposed acquisition of Windsurf also failed due to tensions with Microsoft, OpenAI’s major partner. By late 2025 and early 2026, OpenAI’s Codex began narrowing the gap, with user growth rising to about 40% of Claude Code’s usage. The competition reflects broader industry trends where AI agents are increasingly automating cognitive work, raising questions about the future of software development and white-collar jobs. Despite progress, concerns around safety and societal impact remain as AI coding tools become more powerful and pervasive.

marsbit03/13 07:39

Why Is OpenAI Playing Catch-Up with Claude Code?

marsbit03/13 07:39

Strongest Earnings Report in 15 Years Fails to Mask Trillion-Dollar Debt; Oracle Rumored to Lay Off 30,000 in 'AI Replacement' Move—Can It Fill the Computing Power Pit?

Oracle reported its strongest financial results in 15 years, with Q3 revenue reaching $17.2 billion, a 22% year-over-year increase, and cloud revenue surging 44%. The company's remaining performance obligations (RPO) grew 325% to $553 billion. Despite these gains, Oracle faces significant financial challenges, including negative free cash flow of -$13.18 billion over the past 12 months and total debt exceeding $100 billion, with an additional $248 billion in off-balance-sheet lease commitments. To fund its aggressive data center expansion—with capital expenditures projected to reach $50 billion this year—Oracle is reportedly planning to lay off up to 30,000 employees. Analysts estimate these cuts could save the company $8–10 billion in free cash flow. The shift toward an asset-light “AI infrastructure management” model, where clients prepay or supply their own GPUs, reduces balance sheet pressure but also transforms Oracle into a lower-margin service operator. Competitive pressures are mounting: key clients like OpenAI have canceled expansion plans due to rapid chip obsolescence, as NVIDIA’s new Vera Rubin chips offer significantly better performance. This reflects a broader industry trend where tech giants are cutting jobs to fund AI investments, transferring the cost of technological advancement onto their workforce.

marsbit03/11 05:57

Strongest Earnings Report in 15 Years Fails to Mask Trillion-Dollar Debt; Oracle Rumored to Lay Off 30,000 in 'AI Replacement' Move—Can It Fill the Computing Power Pit?

marsbit03/11 05:57

OpenAI IPO Market Sounding Meets Cold Reception, How to Convince Investors with an $850 Billion Valuation?

Wall Street investment banks are conducting market soundings for a potential OpenAI IPO, but are encountering a cooler-than-expected reception from public market investors. OpenAI is currently raising funds at an $850 billion valuation, which represents a price-to-sales multiple of 28 times its projected 2026 revenue—far exceeding Nvidia's multiple of about 12. Key investor concerns include OpenAI's own projection that it will not be profitable until at least 2030, requiring continuous capital investment. Prominent investors, including Jim Chanos, question the high valuation, especially compared to profitable and dominant players like Nvidia. Additionally, the rise of well-funded competitor Anthropic, which has a lower projected cost structure and strong enterprise sales, is diverting investor attention and capital. Some investors have indicated they may short OpenAI stock upon its debut, betting that public markets will have limited patience for its long path to profitability.

比推03/10 12:48

OpenAI IPO Market Sounding Meets Cold Reception, How to Convince Investors with an $850 Billion Valuation?

比推03/10 12:48

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

Bitcoin Wins AI ‘Best Money’ Vote: Anthropic Leads, OpenAI Lags

Bitcoin was selected as the top monetary instrument in an experiment by the Bitcoin Policy Institute (BPI), which prompted 36 AI models from six providers to act as autonomous economic agents. The models evaluated monetary roles—store of value, medium of exchange, unit of account, and settlement—across 9,072 neutral, open-ended scenarios. Bitcoin received 48.3% of all responses, followed by stablecoins at 33.2%. Fiat and bank money accounted for only 8.9%. In long-term store-of-value contexts, Bitcoin dominated with 79.1%, while stablecoins led in everyday payment scenarios at 53.2%, suggesting a “two-tier” monetary system: Bitcoin for savings, stablecoins for spending. Anthropic’s models showed the strongest preference for Bitcoin (68.0% on average), while OpenAI’s models were least likely to choose it (25.9%). The study highlights Bitcoin’s perceived advantages, such as its capped supply and predictable monetary policy, and suggests that AI agents may drive future demand for Bitcoin-native infrastructure.

bitcoinist03/06 05:02

Bitcoin Wins AI ‘Best Money’ Vote: Anthropic Leads, OpenAI Lags

bitcoinist03/06 05:02

Sell Nvidia, Buy Power Plants: A 24-Year-Old Unconventional AI Investor Made $5 Billion in a Year

Leopold Aschenbrenner, a 24-year-old former OpenAI researcher, achieved a 14x return in 12 months, growing his fund to $5.517 billion by investing unconventionally in AI infrastructure. Instead of popular AI stocks, he focused on physical constraints like power and hardware. Key holdings include Bloom Energy (fuel cells for power generation), CoreWeave (GPU cloud services), Intel (U.S. chip manufacturing), and Bitcoin miners (cheap power and data center space). He also invested in Lumentum (optical components) and SanDisk (data storage). Aschenbrenner sold top AI performers like Nvidia, betting that AI's real bottleneck is electricity, not algorithms. His strategy stems from a 165-page manifesto predicting AGI by 2027, emphasizing compute and energy demands. Despite market panic during the DeepSeek shock, he held firm, arguing efficiency gains would fuel, not reduce, demand. His approach combines deep AI insight with real-world infrastructure analysis, capitalizing on mispriced opportunities in the AI value chain.

marsbit03/06 03:22

Sell Nvidia, Buy Power Plants: A 24-Year-Old Unconventional AI Investor Made $5 Billion in a Year

marsbit03/06 03:22

Once SBF's Protege, Now Managing a $5.5 Billion AI Fund

Leopold Aschenbrenner, a 24-year-old former member of FTX’s Future Fund team and later an OpenAI researcher, now manages Situational Awareness LP—an AI-focused investment fund that grew its disclosed holdings from $225 million in Q4 2024 to $5.5 billion by Q4 2025. After being fired from OpenAI in 2024 over internal disputes on AI safety, Aschenbrenner authored a influential 165-page paper on AGI, which led to the launch of his fund. Backed by investors like the Collison brothers and Nat Friedman, the fund concentrates on AI infrastructure—energy, compute, and storage—while avoiding mainstream tech giants. Its top holding, Bloom Energy, surged over 10x. The portfolio also includes Bitcoin miners pivoting to AI compute, reflecting Aschenbrenner’s strategic shift from crypto to AI. His trajectory contrasts sharply with that of SBF, his former FTX associate, highlighting a redirection from effective altruism-rooted crypto ventures toward AI-driven investing.

比推03/05 16:47

Once SBF's Protege, Now Managing a $5.5 Billion AI Fund

比推03/05 16:47

活动图片

Популярные категорииright-arrow

Популярные тегиright-arrow

Others

Technology Trends