人工智能正在快速发展——但并不总是以人们所期望的方式。尽管头条新闻仍然集中在庞大的基础模型和炫目的演示上，但一种更为安静的转变正在进行——这转变的重点是让人工智能在现实世界中真正发挥作用。

![](http://img.gateio.im/social/moments-765575cf59-d74407a11c-153d09-7649e1)



人工智能正在迅速发展——但并不总是以人们预期的方式发展。尽管头条新闻仍然集中在大型基础模型和炫目的演示上，但一个较为安静的转变正在进行——这完全是关于让人工智能在现实世界中真正发挥作用。

PAI3团队最近的一篇帖子列出了三个超越流行词的趋势，指出AI技术栈如何在内部发生变化。以下是他们所涵盖内容的分解，以及为什么这很重要。

1. 代理商正在成为人工智能的真正主力军

向ChatGPT询问趣闻的时代已经让位于更结构化、特定于工作的人造智能。这些是模块化的人工智能单元，旨在执行任务：总结报告、管理加密货币投资组合、自动化重复工作流程，或充当数字研究助理。

与其使用一个庞大的模型试图做所有事情，不如让代理允许开发者(甚至非技术用户)为特定领域配置人工智能——然后将其部署为自主运行。

这一变化对基础设施来说是巨大的，因为:

代理需要持续运行或按需运行。

他们需要安全地访问工具、数据和API。

他们需要可扩展、具有成本效益的环境来运营。

这就是PAI3的去中心化节点的作用——提供一个分布式系统来托管和执行这些代理.

2. 推理是人工智能战斗实际进行的地方

训练模型受到很多关注，但推理才是实际AI使用和成本的主导。每当用户与AI系统交互时，推理是在幕后发生的事情。它计算密集，需要低延迟，并且必须在不超出预算的情况下扩展。

集中式云服务提供商仍然是今天推理的默认选择，但它们昂贵、不透明，并且越来越拥堵。

PAI3 颠覆了这一点，通过在全球贡献者运营的独立节点上启用边缘推理。这些节点运行容器化的 AI 工作负载，从 LLM 到代理，并在本地存储加密数据。

这使得推断：

更高效

更私密

对于提供计算的人员来说，经济回报更高。

3. 去中心化正成为人工智能的必要条件

随着对人工智能的需求增加，集中控制的局限性——数据隐私风险、计算垄断和单点故障——正变得越来越难以忽视。

解决方案？从头重新思考基础设施。

PAI3正在构建一个去中心化的计算网络，其中：

贡献者运行节点并为处理AI任务赚取报酬

AI代理通过去中心化推理机器安全部署和路由(DIM)

数据保持私密和加密——绝不会复制到中央服务器

经济价值与提供实际效用的那些人共享

这是一张不仅仅用于运行人工智能的网络，而是为了使其力量、经济和访问权民主化。

最后的思考

这些趋势并不是假设——它们已经在实施中。PAI3的网络已经上线，正在增长，并证明了一种不同的AI基础设施模型是可能的。一个不依赖于集中式云垄断或抽象代币经济的模型。一个计算、数据和奖励在边缘流动的模型。

想要探索如何运行节点、部署代理，或者仅仅想了解更多信息吗？

访问他们的官方网站或在 X 上查看他们 @Pai3Ai

AI is evolving rapidly—but not always in the ways people expected. While the headlines are still focused on massive foundation models and flashy demos, a quieter shift is underway—one that’s all about making AI actually work in the real world.

![](https://img.gateio.im/social/moments-765575cf59-d74407a11c-153d09-7649e1)



AI is evolving rapidly—but not always in the ways people expected. While the headlines are still focused on massive foundation models and flashy demos, a quieter shift is underway—one that’s all about making AI actually work in the real world.

A recent post by the team at PAI3 lays out three trends that go beyond buzzwords and point to how the AI stack is changing under the hood. Here’s a breakdown of what they covered—and why it matters.

1. Agents Are Becoming the Real Workhorses of AI

The era of asking ChatGPT for fun facts is already giving way to more structured, job-specific agents. These are modular AI units that are designed to do things: summarize a report, manage a crypto portfolio, automate repetitive workflows, or act as digital research assistants.

Instead of a single massive model that tries to do everything, agents allow developers (and even non-technical users) to configure AI for specific domains—and then deploy them to run autonomously.

This shift is huge for infrastructure, because:

Agents need to run continuously or on demand.

They need to access tools, data, and APIs securely.

And they need scalable, cost-efficient environments to operate in.

That’s where PAI3’s decentralized nodes come in—offering a distributed system to host and execute these agents.

2. Inference Is Where the AI Battle Is Actually Being Fought

Training models gets a lot of attention, but inference is what dominates actual AI usage—and costs. Every time a user interacts with an AI system, inference is what happens behind the scenes. It’s compute-heavy, needs low latency, and has to scale without breaking budgets.

Centralized cloud providers are still the default for inference today, but they’re expensive, opaque, and increasingly congested.

PAI3 flips that on its head by enabling inference at the edge—on independent nodes operated by contributors around the world. These nodes run containerized AI workloads, from LLMs to agents, with encrypted data stored locally.

This makes inference:

More efficient

More private

And more economically rewarding for those providing the compute

3. Decentralization Is Becoming an AI Imperative

As the demand for AI increases, the limitations of centralized control—data privacy risks, compute monopolies, and single points of failure—are becoming harder to ignore.

The solution? Rethinking the infrastructure from the ground up.

PAI3 is building a decentralized compute network where:

Contributors run nodes and earn for processing AI tasks

AI agents are deployed and routed securely via a decentralized inference machine (DIM)

Data stays private and encrypted—never copied to central servers

Economic value is shared with those who provide actual utility

It’s a network designed not just to run AI, but to democratize its power, economics, and access.

Final Thoughts

These trends aren’t hypothetical—they’re already being implemented. PAI3’s network is live, growing, and proving that a different model for AI infrastructure is possible. One that doesn’t rely on centralized cloud monopolies or abstract tokenomics. One where compute, data, and rewards flow at the edge.

Want to explore how to run a node, deploy an agent, or just learn more?

Visit their official website or check them out on X @Pai3Ai

3 AI Trends Defining 2025 — And the Infrastructure That’s Quietly Powering Them

2025年定义的三大人工智能趋势——以及默默推动它们的基础设施

去中心化人工智能的推动正在加速。但伟大的愿景伴随着一个非常真实的技术挑战：如何在全球分布的独立机器网络上安全、高效且可验证地运行强大的人工智能工作负载？这就是容器化人工智能进入视野的地方——而像PAI3这样的平台也开始脱颖而出。

去中心化人工智能的推动正在加速。但伟大的愿景伴随着一个非常现实的技术挑战：如何在一个全球分布的独立机器网络上安全、高效且可验证地运行强大的人工智能工作负载？

这就是容器化人工智能进入视野的地方——也是像PAI3这样的平台开始脱颖而出的地方。


![](http://img.gateio.im/social/moments-765575cf59-0ba23251d6-153d09-7649e1)容器化 AI 到底是什么？

容器化人工智能是指将人工智能模型—连同其所有代码、依赖关系和数据路由—打包在一个自包含、隔离的环境中，称为容器。可以把它想象成一个密封的舱体，可以发送到世界任何地方的机器上运行，并返回结果—所有这一切都不会泄露内部的信息。

为什么这会是一个游戏规则的改变者？因为它使得无信任计算成为可能。数据隐私得以维护。模型完整性得以保持。任务可以分配给匿名节点而不影响安全性。

为了使去中心化的人工智能超越理论，进入实际部署，容器化是必不可少的。

PAI3 如何应用它

PAI3是一个去中心化的人工智能基础设施项目，它不仅在理论上探讨这个未来——而是在实际构建它。他们实现了加密容器，这些容器允许人工智能推理任务直接在贡献者节点上运行，同时保护模型和输入数据不被窥探。

在他们的网络中，流程是这样的：

1. AI任务被加密并容器化。
2. 任务通过去中心化推理机器(DIM)分发给节点。
3. 节点在不访问原始数据的情况下处理这些任务。
4. 结果经过验证，并以\$PAI3 代币进行奖励。

该模型消除了传统基于云的人工智能的中心瓶颈和数据漏洞。它还为贡献计算资源的节点运营者创造了真正的收益潜力。

这很重要

容器化人工智能不仅使网络更加安全，还使其更加可扩展。

工作负载隔离：每个任务独立运行，降低了干扰或数据泄露的风险。

硬件无关性：任务可以在不同的机器上运行，使人们更容易加入网络。

经济高效：贡献者根据验证的表现获得奖励，而不仅仅是正常运行时间。

全球可访问：任何拥有计算能力的人都可以支持 AI 工作负载，从而消除中介的作用。

这种方法支持更具包容性和韧性的基础设施，并为从医疗保健到金融的各种应用奠定基础，同时保护隐私。

不仅仅是基础设施

PAI3 不仅仅是在部署智能技术——他们还邀请建设者、研究人员和普通节点操作员参与 AI 经济。使用容器化环境是他们认真负责、并且有目的地扩展的强烈信号。

他们并不是要完全取代集中式人工智能——而是为那些相信分布式计算、隐私优先原则和社区驱动创新的人展示了一条可行的道路。

访问pai3官方网站，看看他们正在构建什么

这是少数几个技术追赶愿景的项目之一——而容器化的人工智能是推动它的引擎。

The push for decentralized AI is accelerating. But with great vision comes a very real technical challenge: how do you run powerful AI workloads on a globally distributed network of independent machines—securely, efficiently, and verifiably?That’s where containerized AI enters the picture—and where platforms like PAI3 are beginning to stand out.

The push for decentralized AI is accelerating. But with great vision comes a very real technical challenge: how do you run powerful AI workloads on a globally distributed network of independent machines—securely, efficiently, and verifiably?

That’s where containerized AI enters the picture—and where platforms like PAI3 are beginning to stand out.


![](https://img.gateio.im/social/moments-765575cf59-0ba23251d6-153d09-7649e1)What Is Containerized AI, Really?

Containerized AI is about packaging an AI model—along with all its code, dependencies, and data routing—in a self-contained, isolated environment known as a container. Think of it as a sealed pod that can be sent to a machine anywhere in the world, run there, and return results—all without leaking what's inside.

Why is that a game-changer? Because it makes trustless compute possible. Data privacy is maintained. Model integrity is preserved. And tasks can be distributed to anonymous nodes without compromising security.

For decentralized AI to move beyond theory and into practical deployment, containerization is a must.

How PAI3 Applies It

PAI3 is a decentralized AI infrastructure project that’s not just theorizing about this future—it’s building it. They’ve implemented encrypted containers that allow AI inference tasks to run directly on contributor nodes, all while shielding the model and input data from prying eyes.

Here’s how the process works in their network:

1. AI tasks are encrypted and containerized.
2. Tasks are dispatched to nodes via the Decentralized Inference Machine (DIM).
3. Nodes process these tasks without ever accessing raw data.
4. Results are verified and rewarded with \$PAI3 tokens.

This model eliminates the central bottlenecks and data vulnerabilities of traditional cloud-based AI. It also creates real earning potential for node operators who contribute compute resources.

Why This Matters

Containerized AI doesn’t just make the network more secure—it makes it more scalable.

Workload Isolation: Each job runs independently, reducing risk of interference or data leakage.

Hardware Agnostic: Tasks can run on diverse machines, making it easier for people to join the network.

Economically Efficient: Contributors are rewarded based on verified performance, not just uptime.

Globally Accessible: Anyone with compute power can support AI workloads, removing gatekeepers from the equation.

This approach supports a more inclusive and resilient infrastructure, and it creates the foundation for applications ranging from healthcare to finance, all while preserving privacy.

More Than Just Infrastructure

PAI3 isn’t just deploying smart tech—they’re inviting builders, researchers, and everyday node operators to participate in the AI economy. The use of containerized environments is a strong signal that they’re serious about scaling responsibly, and with purpose.

They're not trying to replace centralized AI entirely—but they’re showing a viable path for those who believe in distributed compute, privacy-first principles, and community-driven innovation.

Visit pai3 official site and see what they are building

This is one of the few projects where the tech is catching up to the vision—and containerized AI is the engine powering it.

Containerized AI: Why It Matters—And How PAI3 Is Building Around It

容器化人工智能：它为何重要——以及PAI3是如何围绕它构建的

好的，如果你最近对金库策略掉以轻心，这里给你一个提醒，让你坐直一点。Summerfi ( 是的，之前被称为Oasis)的人刚刚通过Silo和Apostro推出了一个高风险、高回报的USDC金库——这实际上非常有趣。事情是这样的：这个新的金库让你接触到Silo的USDC借贷市场，并增添了一些刺激——以Apostro的ACR策略为形式，这一切都是关于风险意识的收益优化。

![](https://img.gateio.im/social/moments-765575cf59-9ecfefee50-153d09-7649e1)好的，如果你最近对投资策略有所忽视，这里提醒你稍微坐直一点。

Summerfi (是的，曾经被称为Oasis的团队)刚刚通过Silo和Apostro推出了一个高风险、高回报的USDC金库——这实际上相当有趣。

这里是交易内容：
这个新金库让你接触到Silo的USDC借贷市场，并增加了一些刺激因素——Apostro的ACR策略，专注于风险意识的收益优化。

TL;DR: 这个保险库借出USDC，而Apostro在幕后进行数学运算，以尝试提高你的收益。

当然，这并不是你那种轻松的周日驾车穿越DeFi策略。Summerfi 明确表示——这一次有点锋利。更多的波动性，更多的不确定性，还有，是的，更多的潜在上涨。这就像是稳定币金库的双倍浓缩咖啡版本。

那么，这个到底是为谁准备的呢？

如果你是一个已经对借贷协议和DeFi金库有良好了解的人，并且希望在保持链上和透明的情况下测试一种更实验性的方法——这可能正是你所需要的。

如果你刚刚开始，听到“风险策略”这几个词就头疼，或许可以先从他们的DSR保险库开始。(说真的，没什么可羞愧的——那是很不错的选择。)

夏天金融不断给我们提供选择，难道这不是很惊人吗？保守一点？选择 Maker 的 DSR。想要冒险一点？试试 Apostro 增强路线。所有都是非托管的。全自动化。非常顺畅。

哦，你可以在仪表板上直接跟踪保险库的风险信号和统计数据。如果你喜欢像看《权力的游戏》一样观看图表，这非常有帮助。

想试试新的 USDC + Apostro 金库吗？请访问 summerfi 的官方网站，看看吧。只需记住：更高的奖励往往伴随着更高的风险。小心开始，保持好奇，了解你的退出方式。

开心的存 vaulting，朋友们。

Okay, so if you’ve been sleeping on vault strategies lately, here’s your nudge to sit up a bit.Summerfi (yeah, the folks formerly known as Oasis) just introduced a higher-risk, higher-reward USDC vault via Silo and Apostro—and it’s actually pretty interesting.Here’s the deal:This new vault gives you exposure to Silo’s USDC lending market with some added spice—in the form of Apostro’s ACR strategy, which is all about risk-aware yield optimization. 

![](https://img.gateio.im/social/moments-765575cf59-9ecfefee50-153d09-7649e1)Okay, so if you’ve been sleeping on vault strategies lately, here’s your nudge to sit up a bit.

Summerfi (yeah, the folks formerly known as Oasis) just introduced a higher-risk, higher-reward USDC vault via Silo and Apostro—and it’s actually pretty interesting.

Here’s the deal:
This new vault gives you exposure to Silo’s USDC lending market with some added spice—in the form of Apostro’s ACR strategy, which is all about risk-aware yield optimization. 

TL;DR: the vault lends USDC, and Apostro does the mathy stuff behind the scenes to try and juice your returns.

Of course, this isn’t your chill, Sunday-drive-through-DeFi strategy. Summerfi makes it clear—this one’s got a bit of edge to it. More volatility, more uncertainty, and yeah, more potential upside too. It’s like a double espresso version of a stablecoin vault.

So, who’s this really for?

If you’re someone who already has a good feel for how lending protocols and DeFi vaults work—and you’re looking to test a more experimental approach while keeping things on-chain and transparent—this could be your alley.

If you're just getting started and the words “risk strategy” give you a headache, maybe start with their DSR vaults instead. (Seriously, no shame—those are solid.)

Isn't it amazing Summerfi keeps giving us options. Conservative? Go with Maker's DSR. Feeling adventurous? Test the Apostro-enhanced route. All non-custodial. All automated. All smooth.

Oh, and you can track the vault’s risk signals and stats right there in the dashboard. Super helpful if you're the type that likes to watch charts like it’s Game of Thrones.

Want to try out the new USDC + Apostro vault? Head over to summerfi's official website and take a look. Just remember: higher rewards often come with higher risk. Start small, stay curious, and know your exits.

Happy vaulting, friends.

IAmDefiGem

2025年定义的三大人工智能趋势——以及默默推动它们的基础设施

容器化人工智能：它为何重要——以及PAI3是如何围绕它构建的

Summerfi最新的Vault并不适合胆小的人(但可能值得)