我们在2025年观看的内容（加密AI）

YAN

What We're Watching in 2025 (Crypto AI)

我们在2025年观看的内容（加密AI）

1. The total market value of the crypto AI sector will reach $150 billion

1。加密AI行业的总市场价值将达到1500亿美元

Currently, tokens in the crypto AI sector only account for 2.9% of the altcoin market cap, but I believe this proportion will not last long. As artificial intelligence gradually expands to new areas such as smart contract platforms, Meme, decentralized physical infrastructure (DePIN), proxy platforms, data networks, and intelligent coordination layers, its integration with DeFi and Meme tokens has become an inevitable trend.

目前，加密AI行业中的令牌仅占Altcoin市值的2.9％，但我相信这一比例不会持续很长时间。随着人工智能逐渐扩展到智能合约平台，模因，分散的物理基础设施（DEPIN），代理平台，数据网络和智能协调层等新领域，其与Defi和Meme标记的集成已成为不可避免的趋势。

The reason for confidence in the crypto AI sector is that it sits at the intersection of two of the most powerful trends in technology:

对加密AI部门充满信心的原因是，它位于技术中两个最强大的趋势的交汇处：

2. The revival of Bittensor

2。复兴Bittensor

Bittensor (token name TAO) has been around for years. It is a veteran player in this field. Despite the craze around artificial intelligence, its token price has been hovering at the level of a year ago. But in fact, the digital hive mind behind Bittensor has quietly advanced, more subnets have emerged, registration fees have been reduced, and subnets have surpassed the corresponding technologies of Web2 in actual performance such as inference speed. At the same time, EVM compatibility has introduced DeFi-like functions, further enriching Bittensor's network.

Bittensor（Token Name Tao）已经存在了多年。它是该领域的资深球员。尽管人工智能围绕着热潮，但它的代币价格一直在一年前的水平上徘徊。但是实际上，Bittensor背后的数字蜂巢思想已经悄悄地先进，已经出现了更多子网，降低了注册费，并且子网在实际性能（例如推理速度）中超过了Web2的相应技术。同时，EVM兼容性引入了类似Defi的功能，进一步丰富了Bittensor的网络。

So why hasn’t TAO surged? A steep inflation schedule and a shift in focus toward platforms geared toward AI agents have kept it limited. However, dTAO (expected Q1 2025) could be a major turning point. With dTAO, each subnet will have its own token, and the relative prices of those tokens will determine how releases are distributed.

那为什么陶没有涌动呢？陡峭的通货膨胀时间表和将重点转移到针对AI代理的平台的转变，使其受到限制。但是，DTAO（预期的第1季度2025年）可能是一个主要的转折点。使用DTAO，每个子网都会有自己的令牌，这些令牌的相对价格将决定发行版的分布方式。

Why Bittensor has a chance to explode again:

为什么Bittensor有机会再次爆炸：

Currently watching the various subnets and recording the actual progress they make in their respective fields. It is expected that at some point, there will be a DeFi summer similar to @opentensor's version.

目前正在观看各种子网并记录他们在各自领域的实际进度。预计在某个时候，会有一个类似于 @Opentensor的版本的Defi Summer。

3. The computing market is the next L1 transaction

3。计算市场是下一个L1交易

The insatiable demand for computing will become an obvious megatrend. Nvidia CEO Jensen Huang once said that the demand for inference will surge "a billion times." This exponential growth will break the planning of traditional infrastructure and urgently call for "new solutions."

对计算的无限需求将成为明显的大趋势。 NVIDIA首席执行官詹森·黄（Jensen Huang）曾表示，对推论的需求将“十亿次”。这种指数增长将打破传统基础设施的计划，并紧急要求“新解决方案”。

The decentralized computing layer provides raw compute (for both training and inference) in a verifiable and cost-effective manner. Startups like @spheronfdn, @gensynai, @atoma_network, and @kuzco_xyz are quietly building strong foundations to take advantage of this, focusing on products rather than tokens (none of these companies have tokens yet). As decentralized AI model training becomes feasible, the addressable market is expected to rise dramatically.

分散的计算层以可验证且具有成本效益的方式提供了原始计算（用于培训和推理）。 @spheronfdn，@gensynai，@atoma_network和@kuzco_xyz之类的初创公司正在悄悄地建立强大的基础来利用这一点，专注于产品而不是代币（这些公司都没有代表）。随着分散的AI模型培训变得可行，可寻址市场预计将急剧上升。

For the encrypted AI sector, let’s compare it with the L1 sector:

对于加密的AI部门，让我们将其与L1部门进行比较：

Just as Solana emerges as a leader in the L1 space, the winner here will dominate a whole new frontier, paying close attention to three criteria: reliability, cost-effectiveness, and developer-friendly tooling.

就像Solana成为L1领域的领导者一样，这里的获胜者将主导着一个全新的边界，密切关注三个标准：可靠性，成本效益和开发人员友好的工具。

4. AI Agents will flood into blockchain transactions

4。AI代理商将涌入区块链交易

By the end of 2025, 90% of on-chain transactions will no longer be triggered by humans manually clicking "Send". Instead, these transactions will be executed by an army of AI Agents that will continuously rebalance liquidity pools, distribute rewards, or perform micropayments based on real-time data feeds.

到2025年底，人类手动点击“发送”将不再触发90％的链交易。取而代之的是，这些交易将由AI代理商的大军执行，这些代理商将根据实时数据提要不断重新平衡流动性池，分发奖励或进行微付款。

None of this is as far-fetched as it seems. Everything we have built in the past seven years (L1, rollups, DeFi, NFTs, etc.) has quietly paved the way for an on-chain world dominated by AI.

这些都没有像看起来那样牵强。我们过去七年中建造的所有东西（L1，卷，defi，nfts等）悄悄地为一个由AI主导的链界世界铺平了道路。

So, why is there this shift?

那么，为什么会有这种转变？

AI agents generate a staggering amount of on-chain activity, but the biggest challenge will be to make these AI agent-driven systems accountable to humans. As the ratio of transactions initiated by AI agents to those initiated by humans increases, new governance mechanisms, analytical platforms, and audit tools will be needed.

AI代理产生了惊人的链上活动，但最大的挑战是使这些AI代理驱动的系统对人类负责。随着AI代理与人类发起的交易的比率增加，需要新的治理机制，分析平台和审计工具。

5. Interaction between agents: The rise of the AI swarm concept

5。代理之间的互动：AI群概念的兴起

AI agent swarms refer to tiny artificial intelligence entities working together seamlessly to execute grand plans, which sounds like the plot of the next popular sci-fi or horror movie. Most current AI agents operate in isolation, with few and unpredictable interactions. However, AI agent swarms will change this situation, allowing multiple AI agents to exchange information, negotiate, and make joint decisions in a network.

AI特工群是指无缝合作以执行宏伟计划的微小人工智能实体，这听起来像是下一部流行的科幻电影或恐怖电影的情节。当前的大多数AI代理都是孤立地运行的，几乎没有可预测的相互作用。但是，AI代理会改变这种情况，使多个AI代理可以在网络中交换信息，谈判并做出联合决策。

These AI Agent swarms can be thought of as decentralized collectives of specialized models, each contributing its unique expertise to larger, more complex tasks. The potential is staggering. For example, one swarm might coordinate distributed computing resources on a platform like Bittensor, while another swarm can verify the source of content in real time to prevent false information from spreading on social media. Each AI Agent in the swarm is an expert and performs its respective task with precision.

这些AI代理群可以被认为是专门模型的分散集体，每个集体都为更大，更复杂的任务贡献了其独特的专业知识。潜力令人震惊。例如，一群人可能会在像Bittensor这样的平台上协调分布式计算资源，而另一个群可以实时验证内容来源，以防止虚假信息在社交媒体上传播。群中的每个AI代理都是专家，并精确地执行其各自的任务。

These swarm networks will be far more intelligent than any single isolated AI. In order for agent swarms

这些群网络将比任何一个孤立的AI都更加聪明。为了代理人群