人工智能（AI）和区块链的融合正在成为技术投资中最热门的趋势之一。

随着像Alphabet，Microsoft和Amazon这样的大型科技公司在AI领域占据主导地位，加密行业正在推动分散的替代方案，以解决有关数据所有权和集中权力的关注。

The intersection of artificial intelligence (AI) and blockchain is quickly heating up as a tech investment trend.

人工智能（AI）和区块链的交集很快就会作为技术投资趋势加热。

While Big Tech firms like Alphabet, Microsoft, and Amazon are making huge strides in AI, the crypto industry is working on decentralized versions of the technology that could offer alternatives to address concerns around data ownership and centralized power.

尽管像Alphabet，Microsoft和Amazon这样的大型科技公司在AI中取得了长足的进步，但加密行业正在研究该技术的分散版本，这些版本可以提供替代方案来解决有关数据所有权和集中权力的关注。

This vision has already seen venture capitalists back decentralized AI projects with nearly $917 million in funding, according to startup data platform Tracxn.

根据Startup Data Platform Tracxn的数据，这种愿景已经使风险投资家支持分散的人工智能项目。

Highlighting how crypto wallets and token networks can support autonomous AI agents, financial participation, and decentralized infrastructure, blockchain firm Theta Capital described this convergence as “the new meta.”

强调加密钱包和代币网络如何支持自治的AI代理，财务参与和分散基础设施，区块链公司Theta Capital将这种融合描述为“新的元META”。

Among the leading firms investing in this space is Hack VC, which has allocated 41% of its latest fund to Web3 AI startups, which its managing partner, Alex Pack, describes as “the biggest source of alpha in investing today.”

Hack VC是在该领域投资的领先公司中，该公司已将其最新基金的41％分配给了Web3 AI初创公司，其执行合伙人Alex Pack将其称为“当今投资中Alpha的最大来源”。

One of its key investments is in Grass, which is building peer-to-peer AI networks by rewarding users for sharing unused internet bandwidth—offering an ethical alternative to the data-scraping practices of major tech companies.

它的主要投资之一是在草地上，它是通过奖励用户共享未使用的互联网带宽来构建点对点AI网络的 - 为主要科技公司的数据搭配实践提供了道德替代方案。

But there are also risks to consider. As several critics have pointed out, decentralized AI could also serve to automate some of the worst aspects of the internet—like spam, misinformation, and meme coin scams.

但是也有考虑的风险。正如几个批评家指出的那样，分散的AI也可以自动化互联网上一些最糟糕的方面，例如垃圾邮件，错误信息和模因硬币骗局。

However, blockchain-based solutions like proof-of-humanity and micropayment barriers are being developed to help mitigate these concerns.

但是，正在开发基于区块链的解决方案，例如人类性证明和微付款障碍，以帮助减轻这些问题。

Ultimately, though, this convergence has the potential to reshape the digital landscape in unexpected ways.

不过，最终，这种融合有可能以意想不到的方式重塑数字景观。

As Polychain Capital's Olaf Carlson-Wee put it, AI will eventually outperform humans in financial markets, not through conflict but consensus.

正如Polychain Capital的Olaf Carlson-Wee所说的那样，AI最终将在金融市场上的表现，而不是通过冲突而是共识。

"The AI takeover won't be a war we lose—it will be a suggestion we agree to," he said.

他说：“ AI接管不会是我们失去的战争，这将是我们同意的建议。”

output: The convergence of cryptocurrency and artificial intelligence (AI) is heating up rapidly, presenting a new wave of investment opportunities and technological possibilities.

输出：加密货币和人工智能（AI）的收敛迅速加热，呈现出新的投资机会和技术可能性。

While behemoths like Alphabet, Microsoft, and Amazon are making great strides in AI, the crypto industry is forging decentralized versions of this technology that could offer unique alternatives.

尽管诸如Alphabet，Microsoft和Amazon之类的庞然大物在AI方面取得了长足的进步，但加密货币行业正在为该技术的分散版本伪造，可以提供独特的替代方案。

Specifically, this new wave of AI models, which are often trained on large language models (LLMs) and operate in a decentralized manner, are aiming to provide an alternative to the existing models developed by major tech companies.

具体而言，这种新浪潮的AI模型通常经过大型语言模型（LLM）培训并以分散的方式运行，目的是为主要科技公司开发的现有模型提供替代方案。

These models are frequently scraping data from online platforms to train their AIs, leading to concerns about privacy and data ownership.

这些模型经常从在线平台上刮擦数据以培训其AIS，从而引起人们对隐私和数据所有权的担忧。

To date, venture capitalists have already poured nearly $917 million into decentralized AI projects, according to startup data platform Tracxn.

据Startup Data Platform Tracxn称，迄今为止，风险投资家已经向分散的AI项目投入了近9.17亿美元。

Highlighting how crypto wallets and token networks can support autonomous AI agents, financial participation, and decentralized infrastructure, blockchain firm Theta Capital described this convergence as “the new meta.”

强调加密钱包和代币网络如何支持自治的AI代理，财务参与和分散基础设施，区块链公司Theta Capital将这种融合描述为“新的元META”。

Among the leading firms investing in this space is Hack VC, which has allocated 41% of its latest fund to Web3 AI startups, which its managing partner, Alex Pack, describes as “the biggest source of alpha in investing today.”

Hack VC是在该领域投资的领先公司中，该公司已将其最新基金的41％分配给了Web3 AI初创公司，其执行合伙人Alex Pack将其称为“当今投资中Alpha的最大来源”。

The firm's portfolio includes startups like ChainGPT, which is building a decentralized network for AI tokens and protocols, and Unchained AI, which is developing a decentralized autonomous organization (DAO) to govern AI systems.

该公司的投资组合包括Chaingpt之类的初创公司，该公司正在为AI代币和协议建立一个分散的网络，以及Unchained AI，该网络正在开发一个分散的自治组织（DAO）来管理AI系统。

Another interesting startup in Hack VC's portfolio is Grass, which is focused on building peer-to-peer AI networks by rewarding users for sharing unused internet bandwidth.

Hack VC投资组合中的另一个有趣的创业公司是Grass，它的重点是通过奖励用户共享未使用的互联网带宽来构建点对点AI网络。

This model offers an ethical alternative to the data-scraping practices of major tech companies and could empower individuals to participate directly in the development and utilization of AI technology.

该模型为主要科技公司的数据剪贴实践提供了一种道德替代方案，并可以使个人直接参与AI技术的开发和利用。

However, this emerging landscape of decentralized AI is not without its critics. Some fear that it could serve to amplify the negative aspects of the internet, such as spam, misinformation, and meme coin scams.

但是，这种分散的AI的新兴景观并非没有批评者。有些人担心它会有助于扩大互联网的负面方面，例如垃圾邮件，错误信息和模因硬币骗局。

Despite these concerns, blockchain-based solutions are being developed to mitigate them.

尽管有这些担忧，但仍开发出基于区块链的解决方案来减轻它们。

For instance, to prevent spamming activities, platforms would typically require users to perform a small action, such as a click or a token transfer, in order to post a message or comment.

例如，为了防止垃圾邮件活动，平台通常会要求用户执行小动作，例如点击或令牌传输，以发布消息或评论。

Moreover, to counter misinformation, blockchain technology can be used to trace the origin and history of information, rendering it more difficult to spread false or misleading content.

此外，为了解决错误信息，可以使用区块链技术来追踪信息的起源和历史，从而使其更难传播虚假或误导性内容。

Finally, to deter meme coin scams, platforms can introduce micropayment barriers, requiring users to pay a minimal amount to interact with specific content or applications.

最后，为了阻止Meme硬币骗局，平台可以引入微型屏障，要求用户支付最少的数量以与特定内容或应用程序进行交互。

This would serve as a deterrent against frivolous or malicious activity, encouraging more meaningful and engaged participation within the ecosystem.

这将成为对琐碎或恶意活动的威慑，鼓励在生态系统中更有意义和参与的参与。

Ultimately, this convergence of crypto and AI has the potential to shift control of the digital economy away from centralized entities and towards open, permissionless systems.

最终，加密和人工智能的这种融合有可能将控制数字经济的控制从集中实体转向无许可的系统。

The question isn't whether this will happen—but how fast.

问题不是会发生这种情况，而是多快。