# 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.

Anthropic's Revenue Surpasses $30 Billion, Signs 3.5 Gigawatt Computing Power Agreement with Google and Broadcom

Anthropic announced its annualized revenue has surpassed $30 billion, a more than threefold increase from $9 billion at the end of 2025. The number of enterprise customers spending over $1 million annually doubled to 1,000 in less than two months. Growth is largely driven by Claude Code, launched in May 2025, which reached over $2.5 billion in annualized revenue by February 2026. In a related move, Broadcom disclosed in an SEC filing that Anthropic will secure approximately 3.5 gigawatts of next-generation TPU compute power starting in 2027, marking its largest single compute commitment to date. This is part of an expanded partnership involving Google and Broadcom, which will design and supply the new TPUs. Unlike OpenAI’s capital-intensive Stargate project, which involves building owned-and-operated data centers, Anthropic adopts a capital-light strategy—relying on long-term compute agreements with cloud providers (AWS, Google Cloud, and Microsoft Azure) without owning physical infrastructure. This multi-cloud, multi-chip approach offers flexibility but may entail higher long-term costs. Anthropic expects a $14 billion loss in 2026 despite ~40% gross margins.

marsbit04/07 07:29

Anthropic's Revenue Surpasses $30 Billion, Signs 3.5 Gigawatt Computing Power Agreement with Google and Broadcom

marsbit04/07 07:29

Without KPIs, Can They Still Lead OpenAI? An 'Internal Observer' Perspective on How Top AI Labs Operate

The article explores the unique organizational and research strategies of top AI labs like DeepMind, OpenAI, and Anthropic, based on an interview with Sebastian Mallaby, author of a biography on DeepMind’s Demis Hassabis. Mallaby highlights DeepMind’s hybrid model of "free exploration" and focused "strike teams" that enabled breakthroughs like AlphaGo and AlphaFold. He attributes DeepMind’s success to Hassabis’s vision, competitive drive, and ability to balance long-term research with practical execution, supported by Google’s resources. The discussion also contrasts the labs’ approaches to safety, scalability, and AGI development, noting differences in risk tolerance—with OpenAI being more aggressive, Anthropic more cautious, and DeepMind居中. The piece concludes that AI progress relies on both scaling compute and algorithmic innovation, with the future of AGI depending on sustained research investment and strategic leadership.

marsbit04/07 05:27

Without KPIs, Can They Still Lead OpenAI? An 'Internal Observer' Perspective on How Top AI Labs Operate

marsbit04/07 05:27

The New Yorker In-Depth Investigation Analysis: Why Do OpenAI Insiders Believe Altman Is Untrustworthy?

"The New Yorker investigation, based on internal documents and interviews with over 100 sources, reveals deep internal distrust in OpenAI’s leadership, particularly toward CEO Sam Altman. Key allegations include a pattern of dishonesty, undermining safety protocols, and prioritizing commercial interests over OpenAI’s original non-profit mission to develop AI safely. Chief Scientist Ilya Sutskever compiled a 70-page dossier accusing Altman of repeatedly lying to the board—for instance, falsely claiming GPT-4 features had passed safety reviews. Anthropic co-founder Dario Amodei’s private notes further detail how Microsoft’s investment deal effectively neutered OpenAI’s safety commitments. The report also highlights unfulfilled promises, such as allocating only 1-2% of promised computing resources to critical safety teams. Internal conflicts extend to CFO Sarah Friar, who opposed Altman’s aggressive IPO timeline amid financial concerns. Microsoft executives compared Altman to fraudsters like SBF, citing a tendency to distort facts and renege on agreements. Critics argue that Altman’s unchecked authority and alleged disregard for transparency pose significant risks given OpenAI’s powerful, potentially dangerous AI technology. The company’s transformation from a safety-first non-profit to a profit-driven entity raises fundamental questions about its governance and ethical commitments."

marsbit04/07 03:40

The New Yorker In-Depth Investigation Analysis: Why Do OpenAI Insiders Believe Altman Is Untrustworthy?

marsbit04/07 03:40

70-Page Confidential Document's First Allegation: 'Lying', Altman Told the Board 'I Can't Change My Character'

In a major investigation, Pulitzer winner Ronan Farrow and Andrew Marantz reveal two previously undisclosed documents: a ~70-page confidential file compiled by former OpenAI chief scientist Ilya Sutskever and over 200 pages of internal notes by Anthropic CEO Dario Amodei from his time at OpenAI. Sutskever’s file, which opens with the accusation that Sam Altman exhibited a "pattern of lying," alleges he misled executives and the board on safety protocols and corporate matters. Amodei’s notes similarly claim “the problem at OpenAI is Sam himself,” citing instances like Altman denying agreed-upon terms in Microsoft’s $1 billion deal. Key revelations include: - No written report was produced from the post-reinstatement independent investigation into Altman. - OpenAI’s superalignment team received only 1-2% of the promised computing resources, mostly on outdated clusters. - In 2018, executives considered a "National Plan" to auction AI tech to nations including China and Russia. - Microsoft executives expressed strong distrust toward Altman, with one comparing his risk profile to figures like Bernie Madoff. During a board call after his firing, Altman reportedly said, "I can’t change my personality," which a director interpreted as an admission of persistent dishonesty. Altman denies intentional deception, attributing his behavior to "well-intentioned adaptation" and conflict avoidance.

marsbit04/06 14:24

70-Page Confidential Document's First Allegation: 'Lying', Altman Told the Board 'I Can't Change My Character'

marsbit04/06 14:24

OpenAI Experiences Internal Strife Again! Major Leadership Shake-Up on the Eve of IPO

OpenAI is experiencing significant internal turmoil and executive reshuffling just as it prepares for a potential IPO later this year. Key changes include COO Brad Lightcap transitioning to a special projects role, Chief Marketing Officer Kate Rouch resigning for health reasons, and Chief App Officer Fidji Simo taking a medical leave. These departures and reassignments have raised concerns about management stability during a critical period. Additionally, tensions have emerged between CEO Sam Altman and CFO Sarah Friar over the IPO timeline. Altman is pushing for a faster launch, aiming to go public before competitor Anthropic, and has publicly committed to $600 billion in future AI infrastructure investments. Friar, however, advocates for a more cautious approach, citing the immense internal preparation required and uncertainties around the company’s financial sustainability given slowing revenue growth and massive compute expenditure commitments. These developments have led to speculation about OpenAI’s ability to execute a successful IPO this year, with external observers and industry insiders questioning both its business model and internal cohesion amid fierce competition and financial pressures.

marsbit04/06 06:57

OpenAI Experiences Internal Strife Again! Major Leadership Shake-Up on the Eve of IPO

marsbit04/06 06:57

Two Acquisitions in One Day: OpenAI Buys 'Narrative', Anthropic Buys 'Barriers'

On April 2, OpenAI and Anthropic each announced an acquisition, reflecting their divergent strategies as both target an IPO by late 2026. OpenAI acquired tech talk show TBPN to shape public AI discourse and support its revenue base, which is 60% consumer-driven from ChatGPT subscriptions. In contrast, Anthropic purchased AI biotech startup Coefficient Bio for approximately $400 million in stock, continuing its focused strategy of deepening enterprise capabilities, particularly in high-switching-cost sectors like life sciences. Over the past three years, OpenAI completed 15 acquisitions across diverse fields including hardware, media, and healthcare, spending over $7.7 billion on disclosed deals, such as the $6.5 billion purchase of Jony Ive’s AI hardware firm. Anthropic made only three acquisitions, each precisely strengthening its product stack: Bun for coding infrastructure, Vercept for autonomous agents, and now Coefficient Bio for biotech R&D pipelines. Anthropic’s enterprise-focused revenue (80% of total) drives its strategy to lock in clients with vertical integration, as seen in its sequenced moves into life sciences and healthcare. Meanwhile, with a higher reliance on consumer subscriptions, OpenAI is investing in narrative influence—TBPN aims to boost ad revenue and steer public AI conversation. Both companies are on accelerated IPO paths: Anthropic eyeing a $60+ billion offering led by Goldman Sachs and JPMorgan, and OpenAI targeting a ~$1 trillion valuation. Their acquisitions underscore distinct priorities—Anthropic builds industry-specific moats, while OpenAI amplifies its public story.

marsbit04/03 10:07

Two Acquisitions in One Day: OpenAI Buys 'Narrative', Anthropic Buys 'Barriers'

marsbit04/03 10:07

$300 Billion in One Quarter, AI Absorbs 80% of Global Venture Capital Funding

In Q1 2026, global venture capital funding reached a record $300 billion, with AI capturing 80% ($242 billion) of the total. Four mega-deals dominated: OpenAI ($122B), Anthropic ($30B), xAI ($20B), and Waymo ($16B), accounting for two-thirds of the quarter’s funding. The market showed extreme concentration, with fewer deals and larger average rounds, indicating a fragile breadth beneath the headline numbers. Crypto funding saw a modest recovery, reaching approximately $8.6 billion, though two-thirds of this occurred in March. Capital flowed mainly into regulated infrastructure like stablecoin payments, custody, and compliance, rather than speculative projects. Broader trends included growth in robotics, defense tech, and cybersecurity—often adjacent to AI. Geographically, the U.S. dominated with 83% of total funding, followed by China and the U.K. The venture market is increasingly fragmented: U.S.-led AI platforms attract massive late-stage capital, China’s on state-driven funding, and Europe faces a growth capital gap. Looking ahead, VC totals may remain high but concentrated. Valuation discipline is returning in secondary markets, exit windows remain volatile, and crypto must compete with AI for investor attention. The market is defined by selectivity and divergence, not broad recovery.

marsbit04/03 04:40

$300 Billion in One Quarter, AI Absorbs 80% of Global Venture Capital Funding

marsbit04/03 04:40

Cursor vs. Anthropic and OpenAI: Thanks for Raising Me, Now I'm Here to Take the Market

Cursor, a VS Code plugin initially built on OpenAI's API, has transitioned from a dependent customer to a formidable competitor by launching its proprietary coding model, Composer 2. This model reportedly outperforms Claude Opus 4.6 on key benchmarks at one-tenth the cost. The case exemplifies a critical strategic dilemma in tech—when to open or close an API. The authors propose a framework: opening an API risks eroding a company’s moat if competitors can use it to bootstrap their own products and aggregate demand, eventually enabling vertical integration. This is especially risky in AI, where API outputs can directly improve a rival’s model training and product refinement—exactly what Cursor achieved by leveraging OpenAI and Anthropic models to gather user data and refine its own offering. Companies then face two choices: restrict API access (like Twitter, which closed its API to protect its social graph) or keep it open but find alternative moat, such as network effects or Lindy effects (like crypto protocols, e.g., Morpho). The authors predict that leading AI companies (like OpenAI and Anthropic) will likely restrict access to their most advanced models over time, as switching costs remain low, network effects are weak, and distillation techniques reduce training costs. This could stifle consumer AI innovation but create opportunities for open alternatives.

marsbit03/31 07:35

Cursor vs. Anthropic and OpenAI: Thanks for Raising Me, Now I'm Here to Take the Market

marsbit03/31 07:35

OpenAI Official Plugin Strongly Integrated into Claude Code

OpenAI has officially released the "codex-plugin-cc" on GitHub, enabling developers to integrate OpenAI’s Codex model capabilities directly into Anthropic’s command-line development tool, Claude Code. This cross-platform integration breaks down ecosystem barriers between major AI tools, allowing developers to leverage the strengths of both models without switching environments. With simple configuration, Claude Code becomes a versatile programming assistant combining the advantages of both companies. Key features include: - Standard code review via the `/codex:review` command, providing expert improvement recommendations and double-checking for logic errors. - Adversarial review using `/codex:adversarial-review`, which challenges design decisions to identify potential performance bottlenecks or security risks. - Task delegation through `/codex:rescue`, allowing complex debugging or repair tasks to be handed off to a Codex sub-agent for collaborative problem-solving. This integration enhances code quality and development efficiency through multi-model collaboration.

marsbit03/31 05:55

OpenAI Official Plugin Strongly Integrated into Claude Code

marsbit03/31 05:55

US Media Reveals the Inside Story of Sora's Shutdown: Losing Millions Daily, User Base Halved, and Facing Talent Poaching from Competitors

OpenAI has abruptly shut down its Sora video-generation tool, a project once hailed as the next consumer AI frontier after ChatGPT. Initially launched with high expectations, including a major partnership with Disney, Sora allowed users to insert themselves into various video scenes. However, it quickly became a significant financial drain, reportedly losing about $1 million daily. Its user base peaked at roughly one million before halving, and it consumed excessive computational resources needed for OpenAI's core priorities, such as its upcoming "Spud" AI model and enterprise productivity tools. Facing stiff competition from rivals like Anthropic and a strategic shift towards AI agents and coding tools ahead of its IPO, OpenAI decided to reallocate resources. Key researchers behind Sora were also targeted in a Silicon Valley talent war, with Meta's CEO personally attempting to recruit them. The shutdown shocked Disney, which had planned to invest $1 billion and use Sora across its operations. The deal has now collapsed, and Disney is exploring other AI partnerships. OpenAI will focus its efforts on robotics and other long-term projects.

marsbit03/30 07:29

US Media Reveals the Inside Story of Sora's Shutdown: Losing Millions Daily, User Base Halved, and Facing Talent Poaching from Competitors