由 a16z crypto 的 “2025 加密预测”延伸:明年最值得关注的顶级项目有哪些?

链捕手Publicado em 2024-12-18Última atualização em 2024-12-19

Resumo

代币化是一个广泛的话题,特别是关于“非常规”资产的代币化。

原文标题:Big Ideas from a16z: Top Projects to Watch in 2025
作者:Stacy Muur
编译:Scof,ChainCatcher

年末是我最喜欢的时光之一,因为Web3行业的顶尖思维开始分享他们对2025年的高度信心的想法和预测。这是一个令人兴奋的时刻,可以勾画出未来一年的加密行业潜力。本月初,a16z crypto 发布了 2025 年大创意清单。哪些协议已经在这些关键领域建立?让我们在这份新出版物中探索一下。


这一次,我想关注的是a16z crypto 发布的文章:《A16Z 展望 2025 加密新趋势》。


核心理念 #1:管理钱包的AI代理


简而言之,AI代理已经展现了独立交易和完全自治的能力。这个领域有许多新兴的应用场景,AI代理可以成为Web3的新角色,参与交易、投资、桥接以及其他意图的实现。


在这一领域,我关注的几个项目包括:

  • NEAR协议:NEAR正将自己定位为“AI区块链”。最近,他们推出了包括Near AI和Near Intents在内的一些重要项目。NEAR已经在行业内积累了相当的影响力,有望在2025年成为这一领域的领军者。
  • Fetch.ai:Fetch.ai是为AI经济打造的平台,提供构建、部署和变现AI服务的工具。其ASI钱包可以整合Fetch在AI领域的最佳功能和进展,可能成为AI与钱包结合的首个实施案例。
  • Armor Wallet:Armor Wallet是一个AI驱动的加密钱包和交易助手,支持跨多个区块链进行交易,并快速执行复杂交易。需要注意的是,Armor Wallet仍然处于较早的开发阶段。
  • Coin98 Super Wallet:Coin98在11月底推出了他们的AI钱包,配有AI助手,能够推荐工具并简化复杂任务,同时支持自然的人类交互。

核心理念 #2:增强信息聚合


这一概念围绕着基于预测市场的新机制,旨在更有效地聚合信息,并增强各个领域的决策过程。


这是一个相对较新的想法,关于这一领域,我推荐阅读Delphi Digital的报告《Markets Will Save the World》。


我的观察列表:

  • MetaDAO:MetaDAO是首个在DAO内大规模实施未来治理(Futarchy)的项目。Futarchy是一种结合预测市场和民主投票的治理体系,旨在通过市场的交易结果来推动决策。
  • Futarchy:Futarchy的理念与MetaDAO相似,强调通过市场来进行治理,并反映各种政策选项可能对代币价值的影响。

核心理念 #3:稳定币的大规模采用


这一想法聚焦于稳定币的采用增加,稳定币的交易量已经超越了Visa、MasterCard和PayPal。这个转变将惠及许多市场参与者,包括稳定币发行人、加密卡公司和加密收单服务。


为了更好地展示稳定币的生态系统,以下是来自上述研究的生态图。考虑将这些项目添加到你的关注列表中。


在我看来,在这一领域,尤为重要的是要强调能够促进日益增长的交易量的基础设施,这些基础设施将成为稳定币广泛采用的主要受益者。


除了TRON(作为知名的USDT转账引擎)之外,一个值得关注的协议是Noble。这个新兴项目致力于开发流动性基础设施,帮助资产发行方参与跨链经济。


核心理念 #4:模块化一切


模块化并不新鲜,但a16z认为,明年会有更多的模块化方案获得主流采用。以下几个领域值得关注:

  • RaaS(Rollup-as-a-Service):Gelato, Caldera, AltLayer, Conduit, Bison Labs。
  • 互操作性:Hyperlane, Polyhedra, Omni。
  • 共享排序:Espresso, Radius, Zellular。
  • 隐私:Nillion, Brevis, Automata, Fhenix, zkMe。
  • 意图:Anoma, Aori, Native。
  • 存储:Arweave, Storj, Filecoin, Zus。
  • 预言机:Pyth, RedStone, Supra, Chainlink。

2025年对基础设施解决方案的关注仍然至关重要。
核心理念 #5:无缝的用户体验


这是我认为最强的趋势之一。链抽象(Chain Abstraction)已经成为今年的热门话题,我们终于接近将抽象用户体验变为现实的时刻,而不仅仅是一个概念。


这里有来自 The Defiant 的一张很棒的链抽象图:


这些项目都值得关注,但我特别想强调Particle,这是我最看好的一个项目。它们首次实现的“Universal Accounts”最近已上线,允许用户通过UniversalX无缝地在任何链上交易资产。


在这个领域,另一个值得关注的项目是Everclear,它是Web3的主要清算层。随着链抽象所需的求解者经济的扩展,求解者需要在不同链之间重新平衡资产,Everclear是这一过程最具成本效益的推动者。


核心理念 #6:加密应用商店


a16z的原始报告提到了一些值得关注的加密应用商店开发者,包括TON上的Telegram应用、Alchemy、Solana的移动dApp商店(Seeker)以及Worldcoin的移动应用。
我还想推荐几个更多的项目:Glue, DeFi AppVeBetter


核心理念 #7:万物代币化


代币化是一个广泛的话题,特别是关于“非常规”资产的代币化。以下是一些值得关注的项目:

  • Kaito AI:代币化影响力(注意力经济)。
  • GAIB:为AI驱动的未来提供经济层,通过代币化企业级GPU。
  • Compute Labs:通过GPU碎片化所有权,直接与GAIB竞争。
  • ShopX:代币化商品和产品(电商领域的RWA)。
  • Eaas:代币化碳足迹。
  • AI 代理与 DeSci:Dolz(代币化色情明星)、PsyDAO(代币化迷幻科学与艺术)、Molecule(生物制药IP代币化协议)等高风险、尖峰热潮的项目。

这些项目为加密世界带来了更多创新的可能性,值得关注。

Criptomoedas em alta

Leituras Relacionadas

After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

Following the withdrawal of Aave and a sharp drop in its Total Value Locked (TVL), the valuation of the high-performance DeFi blockchain MegaETH faces scrutiny. Once a highly anticipated project with a fully diluted valuation (FDV) reaching around $2 billion, MegaETH saw its TVL plummet from a May peak of $245 million to just over $30 million in July, a roughly 70% decline. Its native token, MEGA, currently trades around $0.048 with a market cap of approximately $54 million and an FDV of about $480 million. The report identifies a core vulnerability: MegaETH's TVL was heavily dependent on a single protocol, Aave V3, which at its peak contributed around 90% of the chain's TVL. A significant portion of this capital is attributed to leveraged yield-farming strategies involving stablecoins like USDe. When the profitability of these strategies diminished, capital rapidly exited, exposing the lack of diversified, sustainable activity. Three key mismatches between MegaETH's valuation and its fundamentals are highlighted: 1. **Valuation vs. Real Usage:** With an FDV of ~$4.8B but only ~$1M in annualized protocol revenue and ~2,600 daily active addresses, the valuation appears disconnected from current economic activity. 2. **Token Narrative vs. Ecosystem Reality:** Despite its DeFi narrative, nearly 80% of the chain's recent protocol revenue comes from a trading card game, Monster, not from core DeFi applications like Aave. The chain's native stablecoin, USDM, also shows low trading volume and a declining market cap. 3. **Short-Term Hype vs. Long-Term Delivery:** Initial hype from token generation, blue-chip integrations, and influencer support has faded. Major protocols like Uniswap now hold minimal TVL on the chain, indicating that early capital was largely transient and driven by incentives rather than organic demand. The situation reflects a broader market trend where investors are becoming less tolerant of valuations based on inflated TVL and narrative, demanding clearer evidence of sustainable transactions, revenue, and ecosystem development. While MEGA's price may experience short-term rebounds from market sentiment, a fundamental re-rating likely depends on the team's ability to convert its remaining resources into tangible, user-retaining applications and genuine ecosystem growth.

链捕手Há 2h

After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

链捕手Há 2h

Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: China's AI Models at an Inflection Point China's open-source/open-weight large language models (LLMs) have reached performance parity with top global proprietary models, according to a Goldman Sachs report. This is driven by architectural innovations and higher parameter efficiency, allowing Chinese models to achieve comparable capabilities at 2%-10% the parameter size and significantly lower cost. The market is evolving into a two-tiered structure: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with premium pricing and a low-end, price-sensitive segment for global SMEs and individual users. Key points: * **Cost & Performance:** Innovations like Mixture of Experts (MoE) enable high performance with smaller models. Projects like Meituan's LongCat 2.0, trained on domestic hardware, highlight progress in tech self-sufficiency. * **Open-Source Strategy:** Most Chinese players use open-source/open-weight models for flexibility and ecosystem growth. However, Goldman notes this may underreport actual deployment and revenue. A shift toward "open-weight + community license" models with revenue sharing (e.g., MiniMax) could improve monetization. * **Market Shift & Global Expansion:** Enterprise AI adoption is shifting from "token maximization" to "ROI-first." International expansion, especially in non-US markets, is a major growth driver. Chinese models are increasingly available on global platforms like AWS Bedrock and Microsoft Copilot. * **Competitive Landscape:** Using a framework based on pricing power, cost advantage, and financial strength, Goldman identifies **Zhipu AI and DeepSeek** as the strongest in foundational text models, and **ByteDance** as the leader in multimodal/video generation. The report maintains Buy ratings on MiniMax and Kuaishou. * **Market Growth:** China's AI model API and subscription revenue is projected to grow from an estimated ¥35 billion in 2026 to ¥879 billion by 2030.

marsbitHá 2h

Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

marsbitHá 2h

Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry? China's AI large model sector is at a historic inflection point. Goldman Sachs argues that the intelligence of Chinese open-source/open-weight models is approaching top global proprietary models. Rapid adoption by domestic enterprises and global SMEs is creating a data flywheel effect that will further drive model iteration. The evolution is summarized as moving from "DeepSeek's cost-efficiency moment last year to GLM's model-intelligence moment this year." Chinese models achieve near-state-of-the-art performance at significantly lower cost, primarily due to architectural innovations like Mixture of Experts (MoE) and higher parameter efficiency. Models like DeepSeek V4 Pro (1.6T params), GLM5.2 (0.7T), and MiniMax M3 (0.4T) are much smaller than global leaders. Recent advancements in coding capability are attributed to better data curation and RLHF. Landmarks like Meituan's LongCat 2.0, trained fully on domestic AI chips, demonstrate progress in hardware stack independence. The market is forming a "two-tiered structure." The high-end tier (e.g., GLM5.2, Alibaba's Qwen3.7 Max) prices around $1 per million tokens, about 10-25% of US top models, with estimated inference gross margins of 10-20%. The low-end tier (priced as low as $0.06-$0.2 per million tokens) targets price-sensitive global SMEs and individuals. MiniMax derives 60-70% of revenue overseas. Goldman forecasts China's AI model API/subscription revenue to grow from an estimated RMB 35bn in 2026 to RMB 879bn by 2030. Most Chinese players adopt open-source/open-weight strategies for deployment flexibility and community feedback, though this limits monetization as deployments on third-party platforms (e.g., Alibaba Cloud) may not generate direct revenue. A shift towards "open-weight + community license" models with revenue-sharing agreements (like MiniMax's approach) could improve unit economics. International expansion, particularly in non-US markets, is the key growth driver. The global enterprise AI paradigm is shifting from "token maximization" to "ROI prioritization." Chinese models are already hosted on major global platforms like AWS Bedrock and are under consideration for integration into Microsoft Copilot. Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman identifies the strongest players: In foundational text models, Zhipu AI (initiated coverage) and DeepSeek lead. In multimodal/video generation, ByteDance's Seed is the frontrunner, with Kuaishou's Kling and MiniMax's Hailuo also well-positioned. Goldman maintains a Buy rating on MiniMax, citing its attractive valuation.

链捕手Há 2h

Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

链捕手Há 2h

Trading

Spot

Artigos em Destaque

Como comprar NEAR

Bem-vindo à HTX.com!Tornámos a compra de NEAR Protocol (NEAR) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar NEAR Protocol (NEAR) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu NEAR Protocol (NEAR)Depois de comprar o teu NEAR Protocol (NEAR), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona NEAR Protocol (NEAR)Transaciona facilmente NEAR Protocol (NEAR) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

394 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar NEAR

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de NEAR (NEAR) são apresentadas abaixo.

活动图片