Gemz Комбо и Код Морзе 24 Декабря: Получайте Грандиозные Награды

cryptonews.ruPubblicato 2024-05-24Pubblicato ultima volta 2024-12-24

Получайте сегодня, 24 декабря, свои поощрительные награды с ежедневными картами Gemz и новым кодом Морзе!

В рамках акционных предложений на платформе Gemz участникам предлагается собрать выигрышное трио карт и ввести уникальный код, чтобы разблокировать крупные призы.

Следующий выход новой комбинации тикетов и кода Gemz состоится уже завтра! Не упускайте сегодняшнюю возможность для улучшения игрового опыта и увеличения накоплений монет.

gemz комбо сегодня

Как побороться сегодня за впечатляющие призы в игре Gemz?

Отправляйтесь на платформу в специальный раздел с игровыми тикетами и совершите оптимизацию тройки секретных комбо‐карт на сегодня для заработка 5 миллионов внутриигровых монет.

За каждое улучшение карт необходимо заплатить определенную сумму очков. Некоторые карточки возможно будет необходимо купить для завершения текущего испытания комбо Gemz.

gemz комбо 24 декабря

Уникальный код Морзе активируется в разделе «Ежедневный код».

Gemz комбо 24 декабря

Воспользуйтесь сегодня таким ежедневным комбо:

gemz комбо дня

Секретный код Gemz на сегодня: DAO

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Следите за публикациями на текущей странице, чтобы оставаться ежедневно в курсе всех последних обновлений в игре Gemz!

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Meta Joins the 'Selling Shovels' Game, Zuckerberg: 'Models Can Be Slow, but GPUs Must Earn'

Meta pivots to selling AI infrastructure as internal model development lags. Facing setbacks like Gemini usage restrictions and slower-than-expected progress on its own AI agents, the company is reportedly launching "Meta Compute." This service would rent out its massive GPU capacity and data center resources—projected to reach over 10GW—to external clients. The move mirrors SpaceX's "neocloud" model, offering high-margin, flexible compute contracts. Meta also plans to host third-party models like Anthropic's Claude, creating a platform similar to Amazon Bedrock. This strategy provides immediate revenue while its in-house models (like the upcoming "Watermelon") continue development. Wall Street reacted positively, seeing it as a way to monetize heavy AI investments even if Meta's models aren't yet industry-leading.

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Meta Joins the 'Selling Shovels' Game, Zuckerberg: 'Models Can Be Slow, but GPUs Must Earn'

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World's Largest Data Center Project Scrapped

Blackstone Abandons Plans for World's Largest Data Center, Signaling Wider AI Infrastructure Headwinds Blackstone has halted construction of its massive "Digital Gateway" data center campus in Virginia, which was planned to be the world's largest. The project's cancellation follows a five-year battle with local residents concerned about historical preservation, environmental impact, and strain on local resources. A procedural error in the zoning approval process ultimately led a state court to invalidate the project's permits. This move comes shortly after Blackstone sold other mature data center assets, suggesting a strategic pivot by the asset management giant. Industry analysts see this as a potential sign of "peak" investment enthusiasm, mirroring Blackstone's past exits from overheated sectors like office real estate. The cancellation highlights significant bottlenecks facing the AI-driven data center boom across the U.S. Key challenges include severe power grid constraints, with data centers' electricity demand projected to triple nationally by 2035, and mounting grassroots opposition. A report notes over $130 billion worth of U.S. data center projects were delayed in Q1 2026 alone, primarily due to power shortages and community resistance. Local and state governments are also beginning to implement stricter regulations, including new taxes and moratoriums on construction. Blackstone's exit underscores that the breakneck expansion of AI infrastructure is colliding with practical limits, from physical resource caps to social license, forcing a more realistic assessment of costs and feasibility.

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World's Largest Data Center Project Scrapped

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OpenAI Proposes Transferring 5% Equity to the U.S. Government

OpenAI has reportedly proposed to sell 5% of its equity to the U.S. government, a stake valued at over $40 billion based on its $852 billion valuation. According to the Financial Times, CEO Sam Altman has engaged in preliminary discussions with senior officials, including the Commerce and Treasury Secretaries, framing public ownership as a way for Americans to share in AI's economic benefits. The proposal includes a broader vision where other major U.S. AI companies like Anthropic, Google, and Meta would contribute a similar percentage of their equity to a public investment vehicle, modeled on the Alaska Permanent Fund, to distribute dividends to citizens. However, there is no indication of interest from these rivals. This move is seen as an attempt to navigate increasing regulatory pressure and scrutiny over AI safety and societal impact. It contrasts with more radical proposals, such as one from Senator Bernie Sanders advocating for up to 50% public ownership. While the discussions are conceptual and would likely require congressional action, they signify a strategic shift: OpenAI is offering a financial stake to align government interests and potentially secure a more stable regulatory relationship ahead of a possible future IPO. The outcome could reshape how AGI development is governed and who benefits from its profits.

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OpenAI Proposes Transferring 5% Equity to the U.S. Government

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One Megawatt Sustains 60,000 Agents, NVIDIA GB300 Crushes Previous Generation by 20x

NVIDIA's latest GB300 NVL72 system achieves a 20x improvement in AI agent throughput per megawatt compared to its predecessor, the H200, according to a new industry benchmark called AA-AgentPerf. Where the H200 could handle roughly 2,600 concurrent agents per megawatt, the GB300 NVL72 can support approximately 61,400. The significance lies less in raw chip performance and more in the new benchmark itself. AA-AgentPerf, created by the independent firm Artificial Analysis, is the first benchmark designed specifically for "AI agent" workloads. Traditional benchmarks measure single, fixed-length requests, but AI agents operate in long, complex chains involving dozens of model calls, tool use, and ever-growing context. These create unique system pressures that older tests cannot capture. AA-AgentPerf replays real programming agent trajectories with lengthy sessions and varying input lengths. Its key metric is "agents per megawatt," measured under strict Service Level Objectives (SLOs) that guarantee a minimum token output speed per agent. It also allows real-world optimizations like KV cache reuse and speculative decoding, which older benchmarks often disable. The results highlight two key trends: rack-scale systems like the 72-GPU GB300 NVL72 are inherently more efficient than single nodes, and the architectural leap from Hopper to Blackwell (H200 to GB300) represents a systemic, not just incremental, performance gain. The GB300's advantage stems from its high-bandwidth NVLink fabric connecting all GPUs, allowing large MiE models to be efficiently distributed and parallelized. Important caveats include that the 61,400 figure represents simulated concurrent sessions, not independently running full models, and that benchmark results are a snapshot that will improve with software optimization. AA-AgentPerf is a new standard whose industry adoption remains to be seen.

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One Megawatt Sustains 60,000 Agents, NVIDIA GB300 Crushes Previous Generation by 20x

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Solana Says External Assets Need More Than A Bridge To Build Real Markets

Solana argues that merely bridging external assets to its network is insufficient for building real markets. The key challenge is ensuring these assets arrive into a ready ecosystem with deep liquidity, efficient routing, and integrated DeFi applications from day one. Projects like Sunrise are positioned as orchestration layers to coordinate this onboarding. This focus on market formation over simple token transfer is central to Solana's broader push to become a hub for capital markets and tokenized assets, where liquidity quality and seamless integration are as critical as network speed.

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Solana Says External Assets Need More Than A Bridge To Build Real Markets

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