以太坊：ETH的2026年升级计划如何旨在重塑网络

ambcryptoОпубликовано 2025-12-26Обновлено 2025-12-26

Введение

2025年以太坊完成了Pectra和Fusaka两次重大升级，提升了网络速度和可扩展性。2026年计划推出Glamsterdam和Heze-Bogota两大升级。 Glamsterdam分叉预计年中上线，将引入并行交易处理，并将Gas上限从6000万提高到2亿，大幅缓解拥堵。验证机制将转向零知识证明，减轻节点负担。预计以太坊处理速度将从21 TPS提升至1万TPS。 Heze-Bogota升级将于年底推出，重点增强隐私性、抗审查性和去中心化程度，减少对中心化基础设施的依赖。 尽管目前ETH价格徘徊在2800-2900美元之间，低于3000美元阻力位，但未来趋势指标显示2025年底可能突破3000美元，2026年初或达3200-3400美元区间。但整体市场仍需依赖加密货币大环境的复苏才能实现这一乐观前景。

2025年，以太坊[ETH]推出了两次重大升级：5月的Pectra和12月的Fusaka。这些改进通过增加数据可用性和降低节点成本，显著提升了速度与可扩展性，尤其对第二层解决方案效果明显。

展望2026年，以太坊计划通过Glamsterdam分叉和Heze-Bogota升级延续这一发展势头。

Glamsterdam分叉：提速与增效

ETH正为2026年的重大扩容做准备。其中关键升级是预计年中上线的Glamsterdam分叉。

该升级将引入并行交易处理功能，使以太坊能够同时处理多项任务。

与此同时，Gas上限将大幅提升，可能从6000万增至2亿，且年底前有望进一步上调。

此举将使每个区块容纳更多交易，从而缓解拥堵。Glamsterdam还将改变验证者的常规操作模式。

此前验证者需验证完整交易数据，现在将转向零知识证明机制以降低工作负荷。

通过这些重大升级，以太坊网络将显著受益，处理能力将从当前21 TPS提升至预期1万TPS。

Heze-Bogota分叉：强化隐私保护

除Glamsterdam解决的效率问题外，以太坊还致力于解决隐私担忧。

为此将于2026年底推出Heze-Bogota分叉，重点解决隐私保护、抗审查和去中心化问题。

该升级旨在降低对中心化基础设施的依赖，使单一实体难以阻断交易。随着区块链技术普及和全球监管加强，提升抗审查能力尤为重要。

在应用规模持续扩大的背景下，Heze-Bogota分叉将使以太坊更加开放和无许可化。

升级对ETH价格前景的影响

随着以太坊在速度提升、隐私增强和ZK验证方面取得进展，ETH将实现长期可持续增长。

这些持续发展的成功将使网络在快速演进的领域中获得更强竞争力。

随着2026年升级讨论进入市场，ETH已稳定在3000美元下方，持续在2800至2900美元区间震荡，3000美元构成近期阻力位。

该山寨币的「未来大趋势指标」显示2025年将收于看涨态势，2026年开局强劲。指标预示ETH年底可能突破3000美元，在3200至3400美元区间交易，随后在1月中旬出现回调。

但市场仍受持续看跌压力影响，需要更广泛的加密货币市场复苏才能实现2026年的乐观展望。

最终观点

  • 以太坊2026年目标通过Glamsterdam分叉和Heze-Bogota升级解决隐私、去中心化和效率问题
  • ETH虽受阻于3000美元下方，但未来大趋势指标预示2025年将以看涨收官

Связанные с этим вопросы

Q2026年以太坊计划通过哪些主要升级来重塑网络？

A2026年以太坊计划通过Glamsterdam分叉和Heze-Bogota升级来重塑网络。Glamsterdam分叉主要提升交易处理速度和效率，包括并行交易处理和大幅提高Gas限制；Heze-Bogota升级则侧重于增强隐私性、抗审查性和去中心化。

QGlamsterdam分叉预计会带来哪些具体改进？

AGlamsterdam分叉预计将引入并行交易处理，使以太坊能够同时处理多个任务；Gas限制将从6000万大幅提高到2亿，并可能继续增加；验证者操作将从验证完整交易数据转向零知识证明，从而减少工作量；网络处理速度预计从目前的21 TPS提升至10,000 TPS。

QHeze-Bogota升级的主要目标是什么？

AHeze-Bogota升级的主要目标是解决隐私问题、增强抗审查性和促进去中心化。它旨在减少对中心化基础设施的依赖，使单一实体难以阻止交易，从而在网络集成度提高和全球监管加强的背景下，确保以太坊更加开放和无许可。

Q这些升级对ETH的价格前景有何潜在影响？

A这些升级通过提高速度、增强隐私和引入ZK验证，为ETH的长期可持续增长奠定了基础。尽管ETH目前稳定在3000美元以下，但未来大趋势指标显示，2025年底可能看涨，预计收盘价超过3000美元，2026年初交易区间在3200至3400美元之间，但需更广泛的加密货币市场复苏来实现这一乐观前景。

Q目前ETH的价格表现如何？

A目前ETH价格稳定在3000美元以下，主要在2800美元至2900美元之间徘徊，3000美元是一个直接的阻力位。尽管面临持续的看跌压力，但未来大趋势指标表明2025年底可能以看涨收盘，并预计在2026年初出现强劲开局。

Похожее

Weekly Token Unlock: HOME Unlocks Over 20% of Circulating Supply

Weekly Token Unlock: HOME to Release Over 20% of Circulating Supply This week, the project DeFi.app (HOME) is scheduled to unlock 790 million tokens, valued at approximately $41.26 million. DeFi.app aims to simplify DeFi trading by enabling users to purchase tokens on any blockchain, execute instant cross-chain swaps, access decentralized derivatives markets, and find yield opportunities—all without paying gas fees or using bridges, while maintaining full self-custody of assets. The accompanying chart details the specific release schedule for these tokens.

marsbit21 мин. назад

Weekly Token Unlock: HOME Unlocks Over 20% of Circulating Supply

marsbit21 мин. назад

US Stocks Suffer Worst Plunge Since 2025: Three Triggers Ignite Tech Stock Valuation Reset

The US stock market experienced its most severe sell-off since the 2025 tariff crisis on June 5th, 2025. The Nasdaq Composite plummeted 4.18%, the S&P 500 fell 2.64%, and the Dow Jones dropped 695 points. The panic stemmed from three converging factors. First, Broadcom's earnings report ignited fears of a slowdown in AI growth. While its AI chip revenue surged 143% YoY to $10.8B, its Q3 AI revenue guidance of $16B fell short of the $17.2B consensus. This triggered a massive sector-wide sell-off, with the Philadelphia Semiconductor Index crashing 10.26% and semiconductor stocks losing roughly $1.3 trillion in market value in a single day. Second, a shockingly strong May jobs report crushed hopes for Federal Reserve rate cuts. Non-farm payrolls added 172,000 jobs, doubling expectations. This robust data, combined with persistently high oil prices above $92/barrel due to the ongoing Iran war and blockade of the Strait of Hormuz, drastically increased market expectations for a potential Fed rate hike instead of a cut. Higher interest rates compress the valuations of growth-heavy tech stocks. Third, the prolonged Iran conflict continues to fuel inflationary pressures, complicating the Fed's policy decisions and undermining the "inflation is tamed" narrative. Together, these events challenged the twin pillars of the market rally: the "limitless AI growth" story and expectations for imminent monetary easing. The sell-off spread globally, impacting Asian and European markets and cryptocurrencies. The article posits this is likely a severe "valuation repricing" rather than the end of the AI story. The underlying demand for AI remains strong, but investor expectations for growth speed and the prices they are willing to pay are being recalibrated. Key upcoming factors include the June FOMC meeting, future AI company earnings, and developments in the Iran conflict.

marsbit1 ч. назад

US Stocks Suffer Worst Plunge Since 2025: Three Triggers Ignite Tech Stock Valuation Reset

marsbit1 ч. назад

From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals

From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals Prediction markets are playing a significant role in the 2026 NBA Finals, particularly around the New York Knicks' unexpected 2-0 series lead. Platforms like Kalshi and Polymarket have seen massive trading volumes, exceeding hundreds of millions of dollars on championship and related markets. Their influence extends beyond online trading. Kalshi's official partnership with Madison Square Garden has given it prominent physical branding at the arena. Furthermore, local businesses like The Jeffrey bar are using prediction market contracts to hedge the risk of game-result-based promotions, turning potential losses into manageable costs—a concept similar to the famous "Mattress Mack" strategy from traditional sports betting. These markets differentiate themselves by offering a wider, more entertainment-focused range of "event contracts" beyond typical game outcomes, such as predicting celebrity attendance. They also have broader accessibility across the U.S. compared to age- and location-restricted traditional sportsbooks. However, their rapid integration into sports raises regulatory and ethical questions. The NBA is cautiously engaging, discussing integrity frameworks with regulators like the CFTC. While the league permits minor investments like Giannis Antetokounmpo's stake in Kalshi, it advocates for strict rules to prevent insider trading. Many fans express concern on platforms like Reddit, fearing that the close ties between prediction markets, the league, and players could compromise the game's integrity. The NBA Finals has thus become a high-stakes testing ground, showcasing prediction markets' commercial potential while challenging traditional boundaries between financial trading, entertainment, and gambling.

marsbit4 ч. назад

From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals

marsbit4 ч. назад

Recursive Self-Improvement AI Gains Traction, Google Pours Cold Water, While DeepSeek and Others Approach the Fringes

The term "recursive self-improvement" (RSI), where AI improves itself autonomously, is gaining momentum in the AI industry. Startups like Recursive Superintelligence and projects such as Andrej Karpathy's Auto-Research aim to create systems where AI designs, implements, and validates its own research, moving toward superintelligence. While Google CEO Sundar Pichai cautions that such exponential acceleration is not yet a reality, progress is evident. For instance, Anthropic reported its Claude Code writes nearly 100% of the team's code, though it still lacks true self-direction. Analysts frame RSI development in stages: "adequacy" (systems functioning without humans), "parity" (matching human research quality), and "supremacy" (exceeding human-AI collaboration). Reaching parity could trigger rapid, unpredictable advancement due to AI's continuous operation. In China, companies like DeepSeek and Baidu incorporate self-optimization techniques without explicitly branding them as RSI, focusing on algorithmic efficiency and reinforcement learning. However, challenges remain, including "model collapse" from training on AI-generated data and the immense computational and open-collaboration requirements. Ultimately, RSI represents a trend of increasing automation in AI development, potentially reducing human oversight in the creation process itself.

marsbit4 ч. назад

Recursive Self-Improvement AI Gains Traction, Google Pours Cold Water, While DeepSeek and Others Approach the Fringes

marsbit4 ч. назад

Anthropic Warns Globally, OpenAI Has Crossed the 'Reliability Threshold': AI Self-Acceleration Activated

Anthropic issues a global warning, urging a pause in AI research due to fears of recursive self-improvement where AI accelerates its own development, nearing a "self-building" tipping point. Simultaneously, OpenAI's Yann Dubois provides a key insight: AI's perceived "jump" in usefulness stems from crossing a "reliability threshold." Before this point, AI is an unreliable toy; after (around Dec 2023 for OpenAI), it becomes a dependable tool, triggering self-acceleration. This is evident as AI now assists in its own R&D, boosting researcher productivity. Dubois argues AI development is more "craft" than pure science, relying heavily on intuition. He highlights "the last-mile AI dividend": if current models were frozen, focused development on vertical application harnesses (orchestration systems connecting AI to real-world data and permissions) could deliver AGI-like performance in many domains. The main bottleneck isn't model intelligence, but integration—granting access, connecting data, and embedding into workflows. However, major challenges remain, like enabling continual learning so AI improves with experience rather than plateauing. For startups, the opportunity lies in solving these intricate, real-world integration problems—the hard work of bringing powerful models down to ground level.

marsbit4 ч. назад

Anthropic Warns Globally, OpenAI Has Crossed the 'Reliability Threshold': AI Self-Acceleration Activated

marsbit4 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить S

Добро пожаловать на HTX.com! Мы сделали приобретение Sonic (S) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Sonic (S).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Sonic (S)После приобретения вами Sonic (S) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Sonic (S)С легкостью торгуйте Sonic (S) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

1.4k просмотров всегоОпубликовано 2025.01.15Обновлено 2026.06.02

Как купить S

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

Он решает проблемы масштабируемости, совместимости между блокчейнами и стимулов для разработчиков с помощью технологических инноваций.

2.3k просмотров всегоОпубликовано 2025.04.09Обновлено 2025.04.09

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

HTX Learn — ваш проводник в мир перспективных проектов, и мы запускаем специальное мероприятие "Учитесь и Зарабатывайте", посвящённое этим проектам. Наше новое направление .

1.8k просмотров всегоОпубликовано 2025.04.10Обновлено 2025.04.10

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на S (S) представлены ниже.

活动图片

Топ вопросы

Популярные категорииright-arrow

Популярные тегиright-arrow